From 986ab451cf721ad301e5b91518ddb84c4af05788 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 28 Dec 2023 16:46:19 +0100
Subject: [PATCH 001/180] add workaround for changing prompt while generating
 (#1578)

---
 webui.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/webui.py b/webui.py
index a5138abf..289e365c 100644
--- a/webui.py
+++ b/webui.py
@@ -525,7 +525,7 @@ with shared.gradio_root:
                 loaded_json = None
 
             if loaded_json is None:
-                return gr.update(), gr.update(visible=True), gr.update(visible=False)
+                return gr.update(), gr.update(), gr.update(visible=False)
 
             return json.dumps(loaded_json), gr.update(visible=False), gr.update(visible=True)
 
@@ -557,11 +557,11 @@ with shared.gradio_root:
             load_parameter_button
         ] + lora_ctrls, queue=False, show_progress=False)
 
-        generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False), []), outputs=[stop_button, skip_button, generate_button, gallery]) \
+        generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), []), outputs=[stop_button, skip_button, generate_button, gallery]) \
             .then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed) \
             .then(advanced_parameters.set_all_advanced_parameters, inputs=adps) \
             .then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, progress_gallery, gallery]) \
-            .then(lambda: (gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)), outputs=[generate_button, stop_button, skip_button]) \
+            .then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False), gr.update(visible=False)), outputs=[generate_button, stop_button, skip_button]) \
             .then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed')
 
         for notification_file in ['notification.ogg', 'notification.mp3']:

From 48b1324a267a36ae9824a18afd5f4ceaf0434b36 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 28 Dec 2023 16:48:30 +0100
Subject: [PATCH 002/180] add default_max_image_number to config, use as
 maximum in default_image_number (#1616)

---
 modules/config.py | 7 ++++++-
 webui.py          | 2 +-
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index 9cc61788..c7af33db 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -243,10 +243,15 @@ default_advanced_checkbox = get_config_item_or_set_default(
     default_value=False,
     validator=lambda x: isinstance(x, bool)
 )
+default_max_image_number = get_config_item_or_set_default(
+    key='default_max_image_number',
+    default_value=32,
+    validator=lambda x: isinstance(x, int) and x >= 1
+)
 default_image_number = get_config_item_or_set_default(
     key='default_image_number',
     default_value=2,
-    validator=lambda x: isinstance(x, int) and 1 <= x <= 32
+    validator=lambda x: isinstance(x, int) and 1 <= x <= default_max_image_number
 )
 checkpoint_downloads = get_config_item_or_set_default(
     key='checkpoint_downloads',
diff --git a/webui.py b/webui.py
index 289e365c..ae0be2a6 100644
--- a/webui.py
+++ b/webui.py
@@ -226,7 +226,7 @@ with shared.gradio_root:
                 aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=modules.config.available_aspect_ratios,
                                                    value=modules.config.default_aspect_ratio, info='width × height',
                                                    elem_classes='aspect_ratios')
-                image_number = gr.Slider(label='Image Number', minimum=1, maximum=32, step=1, value=modules.config.default_image_number)
+                image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)
                 negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
                                              info='Describing what you do not want to see.', lines=2,
                                              elem_id='negative_prompt',

From ad158450e32ea3d95e6ea0675594aa604ec5a515 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=BE=A1=E5=9D=82IO?=
 <100711412+IOMisaka@users.noreply.github.com>
Date: Thu, 28 Dec 2023 23:54:59 +0800
Subject: [PATCH 003/180] fix to_clipboard from non-localhost access (#1576)

tested on edge(windows&android)
---
 modules/private_logger.py | 31 +++++++++++++++++++++++--------
 1 file changed, 23 insertions(+), 8 deletions(-)

diff --git a/modules/private_logger.py b/modules/private_logger.py
index 83ba9e36..022d4f8f 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -43,14 +43,29 @@ def log(img, dic):
         "</style>"
     )
 
-    js = (
-        "<script>"
-        "function to_clipboard(txt) { "
-        "txt = decodeURIComponent(txt);"
-        "navigator.clipboard.writeText(txt);"
-        "alert('Copied to Clipboard!\\nPaste to prompt area to load parameters.\\nCurrent clipboard content is:\\n\\n' + txt);"
-        "}"
-        "</script>"
+js = (
+        """<script>
+        function to_clipboard(txt) { 
+        txt = decodeURIComponent(txt);
+        if (navigator.clipboard && navigator.permissions) {
+            navigator.clipboard.writeText(txt)
+        } else {
+            const textArea = document.createElement('textArea')
+            textArea.value = txt
+            textArea.style.width = 0
+            textArea.style.position = 'fixed'
+            textArea.style.left = '-999px'
+            textArea.style.top = '10px'
+            textArea.setAttribute('readonly', 'readonly')
+            document.body.appendChild(textArea)
+
+            textArea.select()
+            document.execCommand('copy')
+            document.body.removeChild(textArea)
+        }
+        alert('Copied to Clipboard!\\nPaste to prompt area to load parameters.\\nCurrent clipboard content is:\\n\\n' + txt);
+        }
+        </script>"""
     )
 
     begin_part = f"<html><head><title>Fooocus Log {date_string}</title>{css_styles}</head><body>{js}<p>Fooocus Log {date_string} (private)</p>\n<p>All images are clean, without any hidden data/meta, and safe to share with others.</p><!--fooocus-log-split-->\n\n"

From 2f6ebbf87699220854d4893d5f217c8760ba6049 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Thu, 28 Dec 2023 08:04:12 -0800
Subject: [PATCH 004/180] some fix for previous PRs

---
 fooocus_version.py        |  2 +-
 modules/meta_parser.py    |  8 ++++++--
 modules/private_logger.py |  2 +-
 webui.py                  | 19 +++++++++++++------
 4 files changed, 21 insertions(+), 10 deletions(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index 2511cfc7..b8f79381 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.855'
+version = '2.1.856'
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 78d73978..07b42a16 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -3,7 +3,7 @@ import gradio as gr
 import modules.config
 
 
-def load_parameter_button_click(raw_prompt_txt):
+def load_parameter_button_click(raw_prompt_txt, is_generating):
     loaded_parameter_dict = json.loads(raw_prompt_txt)
     assert isinstance(loaded_parameter_dict, dict)
 
@@ -128,7 +128,11 @@ def load_parameter_button_click(raw_prompt_txt):
         results.append(gr.update())
         results.append(gr.update())
 
-    results.append(gr.update(visible=True))
+    if is_generating:
+        results.append(gr.update())
+    else:
+        results.append(gr.update(visible=True))
+    
     results.append(gr.update(visible=False))
 
     for i in range(1, 6):
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 022d4f8f..968bd4f5 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -43,7 +43,7 @@ def log(img, dic):
         "</style>"
     )
 
-js = (
+    js = (
         """<script>
         function to_clipboard(txt) { 
         txt = decodeURIComponent(txt);
diff --git a/webui.py b/webui.py
index ae0be2a6..53861090 100644
--- a/webui.py
+++ b/webui.py
@@ -513,7 +513,9 @@ with shared.gradio_root:
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt]
         ctrls += ip_ctrls
 
-        def parse_meta(raw_prompt_txt):
+        state_is_generating = gr.State(False)
+
+        def parse_meta(raw_prompt_txt, is_generating):
             loaded_json = None
             try:
                 if '{' in raw_prompt_txt:
@@ -525,13 +527,16 @@ with shared.gradio_root:
                 loaded_json = None
 
             if loaded_json is None:
-                return gr.update(), gr.update(), gr.update(visible=False)
+                if is_generating:
+                    return gr.update(), gr.update(), gr.update()
+                else:
+                    return gr.update(), gr.update(visible=True), gr.update(visible=False)
 
             return json.dumps(loaded_json), gr.update(visible=False), gr.update(visible=True)
 
-        prompt.input(parse_meta, inputs=prompt, outputs=[prompt, generate_button, load_parameter_button], queue=False, show_progress=False)
+        prompt.input(parse_meta, inputs=[prompt, state_is_generating], outputs=[prompt, generate_button, load_parameter_button], queue=False, show_progress=False)
 
-        load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=prompt, outputs=[
+        load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=[
             advanced_checkbox,
             image_number,
             prompt,
@@ -557,11 +562,13 @@ with shared.gradio_root:
             load_parameter_button
         ] + lora_ctrls, queue=False, show_progress=False)
 
-        generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), []), outputs=[stop_button, skip_button, generate_button, gallery]) \
+        generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), [], True),
+                              outputs=[stop_button, skip_button, generate_button, gallery, state_is_generating]) \
             .then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed) \
             .then(advanced_parameters.set_all_advanced_parameters, inputs=adps) \
             .then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, progress_gallery, gallery]) \
-            .then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False), gr.update(visible=False)), outputs=[generate_button, stop_button, skip_button]) \
+            .then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), gr.update(visible=False, interactive=False), False),
+                  outputs=[generate_button, stop_button, skip_button, state_is_generating]) \
             .then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed')
 
         for notification_file in ['notification.ogg', 'notification.mp3']:

From eb0b4d51ef3f46f57d7f20e870aa89a4b5de48ef Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Thu, 28 Dec 2023 08:22:50 -0800
Subject: [PATCH 005/180] fix #1608 (#1635)

---
 webui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/webui.py b/webui.py
index 53861090..8653a554 100644
--- a/webui.py
+++ b/webui.py
@@ -586,7 +586,7 @@ with shared.gradio_root:
             return mode, ["Fooocus V2"]
 
         desc_btn.click(trigger_describe, inputs=[desc_method, desc_input_image],
-                       outputs=[prompt, style_selections], show_progress=True, queue=False)
+                       outputs=[prompt, style_selections], show_progress=True, queue=True)
 
 
 def dump_default_english_config():

From c0e11c3451f546bd0ed660fbf9ee7490a5aa8e33 Mon Sep 17 00:00:00 2001
From: Alistair Keiller <43255248+AlistairKeiller@users.noreply.github.com>
Date: Sat, 30 Dec 2023 07:12:32 -0600
Subject: [PATCH 006/180] Update readme.md (#1655)

---
 readme.md | 56 +++++++++++++++++++++++++++----------------------------
 1 file changed, 28 insertions(+), 28 deletions(-)

diff --git a/readme.md b/readme.md
index 6b458e74..5dfd96cb 100644
--- a/readme.md
+++ b/readme.md
@@ -38,7 +38,7 @@ Using Fooocus is as easy as (probably easier than) Midjourney – but this does
 
 | Midjourney | Fooocus |
 | - | - |
-| High-quality text-to-image without needing much prompt engineering or parameter tuning. <br> (Unknown method) | High-quality text-to-image without needing much prompt engineering or parameter tuning. <br> (Fooocus has offline GPT-2 based prompt processing engine and lots of sampling improvements so that results are always beautiful, no matter your prompt is as short as “house in garden” or as long as 1000 words) |
+| High-quality text-to-image without needing much prompt engineering or parameter tuning. <br> (Unknown method) | High-quality text-to-image without needing much prompt engineering or parameter tuning. <br> (Fooocus has an offline GPT-2 based prompt processing engine and lots of sampling improvements so that results are always beautiful, no matter if your prompt is as short as “house in garden” or as long as 1000 words) |
 | V1 V2 V3 V4 | Input Image -> Upscale or Variation -> Vary (Subtle) / Vary (Strong)|
 | U1 U2 U3 U4 | Input Image -> Upscale or Variation -> Upscale (1.5x) / Upscale (2x) |
 | Inpaint / Up / Down / Left / Right (Pan) | Input Image -> Inpaint or Outpaint -> Inpaint / Up / Down / Left / Right <br> (Fooocus uses its own inpaint algorithm and inpaint models so that results are more satisfying than all other software that uses standard SDXL inpaint method/model) |
@@ -73,16 +73,16 @@ You can directly download Fooocus with:
 
 **[>>> Click here to download <<<](https://github.com/lllyasviel/Fooocus/releases/download/release/Fooocus_win64_2-1-831.7z)**
 
-After you download the file, please uncompress it, and then run the "run.bat".
+After you download the file, please uncompress it and then run the "run.bat".
 
 ![image](https://github.com/lllyasviel/Fooocus/assets/19834515/c49269c4-c274-4893-b368-047c401cc58c)
 
-In the first time you launch the software, it will automatically download models:
+The first time you launch the software, it will automatically download models:
 
 1. It will download [default models](#models) to the folder "Fooocus\models\checkpoints" given different presets. You can download them in advance if you do not want automatic download.
 2. Note that if you use inpaint, at the first time you inpaint an image, it will download [Fooocus's own inpaint control model from here](https://huggingface.co/lllyasviel/fooocus_inpaint/resolve/main/inpaint_v26.fooocus.patch) as the file "Fooocus\models\inpaint\inpaint_v26.fooocus.patch" (the size of this file is 1.28GB).
 
-After Fooocus 2.1.60, you will also have `run_anime.bat` and `run_realistic.bat`. They are different model presets (and requires different models, but they will be automatically downloaded). [Check here for more details](https://github.com/lllyasviel/Fooocus/discussions/679).
+After Fooocus 2.1.60, you will also have `run_anime.bat` and `run_realistic.bat`. They are different model presets (and require different models, but they will be automatically downloaded). [Check here for more details](https://github.com/lllyasviel/Fooocus/discussions/679).
 
 ![image](https://github.com/lllyasviel/Fooocus/assets/19834515/d386f817-4bd7-490c-ad89-c1e228c23447)
 
@@ -99,7 +99,7 @@ Besides, recently many other software report that Nvidia driver above 532 is som
 Note that the minimal requirement is **4GB Nvidia GPU memory (4GB VRAM)** and **8GB system memory (8GB RAM)**. This requires using Microsoft’s Virtual Swap technique, which is automatically enabled by your Windows installation in most cases, so you often do not need to do anything about it. However, if you are not sure, or if you manually turned it off (would anyone really do that?), or **if you see any "RuntimeError: CPUAllocator"**, you can enable it here:
 
 <details>
-<summary>Click here to the see the image instruction. </summary>
+<summary>Click here to see the image instructions. </summary>
 
 ![image](https://github.com/lllyasviel/Fooocus/assets/19834515/2a06b130-fe9b-4504-94f1-2763be4476e9)
 
@@ -123,7 +123,7 @@ See also the common problems and troubleshoots [here](troubleshoot.md).
 
 In Colab, you can modify the last line to `!python entry_with_update.py --share` or `!python entry_with_update.py --preset anime --share` or `!python entry_with_update.py --preset realistic --share` for Fooocus Default/Anime/Realistic Edition.
 
-Note that this Colab will disable refiner by default because Colab free's resource is relatively limited (and some "big" features like image prompt may cause free-tier Colab to disconnect). We make sure that basic text-to-image is always working on free-tier Colab.
+Note that this Colab will disable refiner by default because Colab free's resources are relatively limited (and some "big" features like image prompt may cause free-tier Colab to disconnect). We make sure that basic text-to-image is always working on free-tier Colab.
 
 Thanks to [camenduru](https://github.com/camenduru)!
 
@@ -142,7 +142,7 @@ Then download the models: download [default models](#models) to the folder "Fooo
     conda activate fooocus
     python entry_with_update.py
 
-Or if you want to open a remote port, use
+Or, if you want to open a remote port, use
 
     conda activate fooocus
     python entry_with_update.py --listen
@@ -151,7 +151,7 @@ Use `python entry_with_update.py --preset anime` or `python entry_with_update.py
 
 ### Linux (Using Python Venv)
 
-Your Linux needs to have **Python 3.10** installed, and lets say your Python can be called with command **python3** with your venv system working, you can
+Your Linux needs to have **Python 3.10** installed, and let's say your Python can be called with the command **python3** with your venv system working; you can
 
     git clone https://github.com/lllyasviel/Fooocus.git
     cd Fooocus
@@ -164,7 +164,7 @@ See the above sections for model downloads. You can launch the software with:
     source fooocus_env/bin/activate
     python entry_with_update.py
 
-Or if you want to open a remote port, use
+Or, if you want to open a remote port, use
 
     source fooocus_env/bin/activate
     python entry_with_update.py --listen
@@ -173,7 +173,7 @@ Use `python entry_with_update.py --preset anime` or `python entry_with_update.py
 
 ### Linux (Using native system Python)
 
-If you know what you are doing, and your Linux already has **Python 3.10** installed, and your Python can be called with command **python3** (and Pip with **pip3**), you can
+If you know what you are doing, and your Linux already has **Python 3.10** installed, and your Python can be called with the command **python3** (and Pip with **pip3**), you can
 
     git clone https://github.com/lllyasviel/Fooocus.git
     cd Fooocus
@@ -183,7 +183,7 @@ See the above sections for model downloads. You can launch the software with:
 
     python3 entry_with_update.py
 
-Or if you want to open a remote port, use
+Or, if you want to open a remote port, use
 
     python3 entry_with_update.py --listen
 
@@ -193,7 +193,7 @@ Use `python entry_with_update.py --preset anime` or `python entry_with_update.py
 
 Note that the [minimal requirement](#minimal-requirement) for different platforms is different.
 
-Same with the above instructions. You need to change torch to AMD version
+Same with the above instructions. You need to change torch to the AMD version
 
     pip uninstall torch torchvision torchaudio torchtext functorch xformers 
     pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6
@@ -206,7 +206,7 @@ Use `python entry_with_update.py --preset anime` or `python entry_with_update.py
 
 Note that the [minimal requirement](#minimal-requirement) for different platforms is different.
 
-Same with Windows. Download the software, edit the content of `run.bat` as:
+Same with Windows. Download the software and edit the content of `run.bat` as:
 
     .\python_embeded\python.exe -m pip uninstall torch torchvision torchaudio torchtext functorch xformers -y
     .\python_embeded\python.exe -m pip install torch-directml
@@ -233,7 +233,7 @@ You can install Fooocus on Apple Mac silicon (M1 or M2) with macOS 'Catalina' or
 1. Create a new conda environment, `conda env create -f environment.yaml`.
 1. Activate your new conda environment, `conda activate fooocus`.
 1. Install the packages required by Fooocus, `pip install -r requirements_versions.txt`.
-1. Launch Fooocus by running `python entry_with_update.py`. (Some Mac M2 users may need `python entry_with_update.py --disable-offload-from-vram` to speed up model loading/unloading.) The first time you run Fooocus, it will automatically download the Stable Diffusion SDXL models and will take a significant time, depending on your internet connection.
+1. Launch Fooocus by running `python entry_with_update.py`. (Some Mac M2 users may need `python entry_with_update.py --disable-offload-from-vram` to speed up model loading/unloading.) The first time you run Fooocus, it will automatically download the Stable Diffusion SDXL models and will take a significant amount of time, depending on your internet connection.
 
 Use `python entry_with_update.py --preset anime` or `python entry_with_update.py --preset realistic` for Fooocus Anime/Realistic Edition.
 
@@ -261,7 +261,7 @@ Below is the minimal requirement for running Fooocus locally. If your device cap
 
 &ast; AMD GPU ROCm (on hold): The AMD is still working on supporting ROCm on Windows.
 
-&ast; Nvidia GTX 1XXX 6GB uncertain: Some people reports 6GB success on GTX 10XX but some other people reports failure cases.
+&ast; Nvidia GTX 1XXX 6GB uncertain: Some people report 6GB success on GTX 10XX, but some other people report failure cases.
 
 *Note that Fooocus is only for extremely high quality image generating. We will not support smaller models to reduce the requirement and sacrifice result quality.*
 
@@ -272,7 +272,7 @@ See the common problems [here](troubleshoot.md).
 ## Default Models
 <a name="models"></a>
 
-Given different goals, the default models and configs of Fooocus is different:
+Given different goals, the default models and configs of Fooocus are different:
 
 | Task | Windows | Linux args | Main Model | Refiner | Config |
 | --- | --- | --- | --- | --- | --- |
@@ -285,26 +285,26 @@ Note that the download is **automatic** - you do not need to do anything if the
 ## List of "Hidden" Tricks
 <a name="tech_list"></a>
 
-Below things are already inside the software, and **users do not need to do anything about these**.
+The below things are already inside the software, and **users do not need to do anything about these**.
 
 1. GPT2-based [prompt expansion as a dynamic style "Fooocus V2".](https://github.com/lllyasviel/Fooocus/discussions/117#raw) (similar to Midjourney's hidden pre-processsing and "raw" mode, or the LeonardoAI's Prompt Magic).
-2. Native refiner swap inside one single k-sampler. The advantage is that now the refiner model can reuse the base model's momentum (or ODE's history parameters) collected from k-sampling to achieve more coherent sampling. In Automatic1111's high-res fix and ComfyUI's node system, the base model and refiner use two independent k-samplers, which means the momentum is largely wasted, and the sampling continuity is broken. Fooocus uses its own advanced k-diffusion sampling that ensures seamless, native, and continuous swap in a refiner setup. (Update Aug 13: Actually I discussed this with Automatic1111 several days ago and it seems that the “native refiner swap inside one single k-sampler” is [merged]( https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12371) into the dev branch of webui. Great!)
-3. Negative ADM guidance. Because the highest resolution level of XL Base does not have cross attentions, the positive and negative signals for XL's highest resolution level cannot receive enough contrasts during the CFG sampling, causing the results look a bit plastic or overly smooth in certain cases. Fortunately, since the XL's highest resolution level is still conditioned on image aspect ratios (ADM), we can modify the adm on the positive/negative side to compensate for the lack of CFG contrast in the highest resolution level. (Update Aug 16, the IOS App [Drawing Things](https://apps.apple.com/us/app/draw-things-ai-generation/id6444050820) will support Negative ADM Guidance. Great!)
-4. We implemented a carefully tuned variation of the Section 5.1 of ["Improving Sample Quality of Diffusion Models Using Self-Attention Guidance"](https://arxiv.org/pdf/2210.00939.pdf). The weight is set to very low, but this is Fooocus's final guarantee to make sure that the XL will never yield overly smooth or plastic appearance (examples [here](https://github.com/lllyasviel/Fooocus/discussions/117#sharpness)). This can almostly eliminate all cases that XL still occasionally produce overly smooth results even with negative ADM guidance. (Update 2023 Aug 18, the Gaussian kernel of SAG is changed to an anisotropic kernel for better structure preservation and fewer artifacts.)
+2. Native refiner swap inside one single k-sampler. The advantage is that the refiner model can now reuse the base model's momentum (or ODE's history parameters) collected from k-sampling to achieve more coherent sampling. In Automatic1111's high-res fix and ComfyUI's node system, the base model and refiner use two independent k-samplers, which means the momentum is largely wasted, and the sampling continuity is broken. Fooocus uses its own advanced k-diffusion sampling that ensures seamless, native, and continuous swap in a refiner setup. (Update Aug 13: Actually, I discussed this with Automatic1111 several days ago, and it seems that the “native refiner swap inside one single k-sampler” is [merged]( https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12371) into the dev branch of webui. Great!)
+3. Negative ADM guidance. Because the highest resolution level of XL Base does not have cross attentions, the positive and negative signals for XL's highest resolution level cannot receive enough contrasts during the CFG sampling, causing the results to look a bit plastic or overly smooth in certain cases. Fortunately, since the XL's highest resolution level is still conditioned on image aspect ratios (ADM), we can modify the adm on the positive/negative side to compensate for the lack of CFG contrast in the highest resolution level. (Update Aug 16, the IOS App [Drawing Things](https://apps.apple.com/us/app/draw-things-ai-generation/id6444050820) will support Negative ADM Guidance. Great!)
+4. We implemented a carefully tuned variation of Section 5.1 of ["Improving Sample Quality of Diffusion Models Using Self-Attention Guidance"](https://arxiv.org/pdf/2210.00939.pdf). The weight is set to very low, but this is Fooocus's final guarantee to make sure that the XL will never yield an overly smooth or plastic appearance (examples [here](https://github.com/lllyasviel/Fooocus/discussions/117#sharpness)). This can almost eliminate all cases for which XL still occasionally produces overly smooth results, even with negative ADM guidance. (Update 2023 Aug 18, the Gaussian kernel of SAG is changed to an anisotropic kernel for better structure preservation and fewer artifacts.)
 5. We modified the style templates a bit and added the "cinematic-default".
 6. We tested the "sd_xl_offset_example-lora_1.0.safetensors" and it seems that when the lora weight is below 0.5, the results are always better than XL without lora.
 7. The parameters of samplers are carefully tuned.
-8. Because XL uses positional encoding for generation resolution, images generated by several fixed resolutions look a bit better than that from arbitrary resolutions (because the positional encoding is not very good at handling int numbers that are unseen during training). This suggests that the resolutions in UI may be hard coded for best results.
-9. Separated prompts for two different text encoders seem unnecessary. Separated prompts for base model and refiner may work but the effects are random, and we refrain from implement this.
-10. DPM family seems well-suited for XL, since XL sometimes generates overly smooth texture but DPM family sometimes generate overly dense detail in texture. Their joint effect looks neutral and appealing to human perception.
+8. Because XL uses positional encoding for generation resolution, images generated by several fixed resolutions look a bit better than those from arbitrary resolutions (because the positional encoding is not very good at handling int numbers that are unseen during training). This suggests that the resolutions in UI may be hard coded for best results.
+9. Separated prompts for two different text encoders seem unnecessary. Separated prompts for the base model and refiner may work, but the effects are random, and we refrain from implementing this.
+10. The DPM family seems well-suited for XL since XL sometimes generates overly smooth texture, but the DPM family sometimes generates overly dense detail in texture. Their joint effect looks neutral and appealing to human perception.
 11. A carefully designed system for balancing multiple styles as well as prompt expansion.
-12. Using automatic1111's method to normalize prompt emphasizing. This significantly improve results when users directly copy prompts from civitai.
-13. The joint swap system of refiner now also support img2img and upscale in a seamless way.
+12. Using automatic1111's method to normalize prompt emphasizing. This significantly improves results when users directly copy prompts from civitai.
+13. The joint swap system of the refiner now also supports img2img and upscale in a seamless way.
 14. CFG Scale and TSNR correction (tuned for SDXL) when CFG is bigger than 10.
 
 ## Customization
 
-After the first time you run Fooocus, a config file will be generated at `Fooocus\config.txt`. This file can be edited for changing the model path or default parameters.
+After the first time you run Fooocus, a config file will be generated at `Fooocus\config.txt`. This file can be edited to change the model path or default parameters.
 
 For example, an edited `Fooocus\config.txt` (this file will be generated after the first launch) may look like this:
 
@@ -340,7 +340,7 @@ Many other keys, formats, and examples are in `Fooocus\config_modification_tutor
 
 Consider twice before you really change the config. If you find yourself breaking things, just delete `Fooocus\config.txt`. Fooocus will go back to default.
 
-A safter way is just to try "run_anime.bat" or "run_realistic.bat" - they should be already good enough for different tasks.
+A safer way is just to try "run_anime.bat" or "run_realistic.bat" - they should already be good enough for different tasks.
 
 ~Note that `user_path_config.txt` is deprecated and will be removed soon.~ (Edit: it is already removed.)
 
@@ -394,7 +394,7 @@ The log is [here](update_log.md).
 
 ## Localization/Translation/I18N
 
-**We need your help!** Please help with translating Fooocus to international languages.
+**We need your help!** Please help translate Fooocus into international languages.
 
 You can put json files in the `language` folder to translate the user interface.
 

From 8e62a72a63b30a3067d1a1bc3f8d226824bd9283 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sat, 30 Dec 2023 06:30:59 -0800
Subject: [PATCH 007/180] (requested) support AMD 8GB GPUs via Windows DirectML

this update is requested by users
---
 fooocus_version.py                            |  2 +-
 ldm_patched/contrib/external.py               | 41 ++++++---
 .../contrib/external_custom_sampler.py        |  6 +-
 ldm_patched/contrib/external_mask.py          |  3 +-
 ldm_patched/contrib/external_rebatch.py       | 32 ++++++-
 ldm_patched/contrib/external_sag.py           |  2 +-
 ldm_patched/contrib/external_stable3d.py      | 60 ++++++++++++
 ldm_patched/ldm/models/autoencoder.py         |  5 +-
 .../ldm/modules/diffusionmodules/model.py     |  2 +-
 .../ldm/modules/diffusionmodules/upscaling.py |  4 +-
 .../ldm/modules/diffusionmodules/util.py      |  6 +-
 .../ldm/modules/encoders/noise_aug_modules.py |  4 +-
 ldm_patched/ldm/modules/temporal_ae.py        |  8 +-
 ldm_patched/modules/args_parser.py            |  2 +
 ldm_patched/modules/clip_model.py             |  2 +-
 ldm_patched/modules/controlnet.py             |  2 +-
 ldm_patched/modules/model_base.py             | 46 +++++++++-
 ldm_patched/modules/model_management.py       | 69 +++++++++-----
 ldm_patched/modules/model_patcher.py          | 16 ++--
 ldm_patched/modules/ops.py                    | 92 ++++++++++++++-----
 ldm_patched/modules/sample.py                 |  3 +-
 ldm_patched/modules/samplers.py               | 16 ++--
 ldm_patched/modules/supported_models.py       | 29 +++++-
 ldm_patched/taesd/taesd.py                    |  5 +-
 ldm_patched/utils/path_utils.py               |  3 +-
 modules/ops.py                                | 19 ++++
 modules/patch.py                              |  6 +-
 modules/patch_clip.py                         | 20 +---
 modules/sample_hijack.py                      | 16 ++--
 readme.md                                     | 25 +++--
 update_log.md                                 |  4 +
 31 files changed, 402 insertions(+), 148 deletions(-)
 create mode 100644 ldm_patched/contrib/external_stable3d.py
 create mode 100644 modules/ops.py

diff --git a/fooocus_version.py b/fooocus_version.py
index b8f79381..06533e42 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.856'
+version = '2.1.857'
diff --git a/ldm_patched/contrib/external.py b/ldm_patched/contrib/external.py
index 7f95f084..9d2238df 100644
--- a/ldm_patched/contrib/external.py
+++ b/ldm_patched/contrib/external.py
@@ -11,7 +11,7 @@ import math
 import time
 import random
 
-from PIL import Image, ImageOps
+from PIL import Image, ImageOps, ImageSequence
 from PIL.PngImagePlugin import PngInfo
 import numpy as np
 import safetensors.torch
@@ -1412,17 +1412,30 @@ class LoadImage:
     FUNCTION = "load_image"
     def load_image(self, image):
         image_path = ldm_patched.utils.path_utils.get_annotated_filepath(image)
-        i = Image.open(image_path)
-        i = ImageOps.exif_transpose(i)
-        image = i.convert("RGB")
-        image = np.array(image).astype(np.float32) / 255.0
-        image = torch.from_numpy(image)[None,]
-        if 'A' in i.getbands():
-            mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
-            mask = 1. - torch.from_numpy(mask)
+        img = Image.open(image_path)
+        output_images = []
+        output_masks = []
+        for i in ImageSequence.Iterator(img):
+            i = ImageOps.exif_transpose(i)
+            image = i.convert("RGB")
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            if 'A' in i.getbands():
+                mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+            else:
+                mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+            output_images.append(image)
+            output_masks.append(mask.unsqueeze(0))
+
+        if len(output_images) > 1:
+            output_image = torch.cat(output_images, dim=0)
+            output_mask = torch.cat(output_masks, dim=0)
         else:
-            mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
-        return (image, mask.unsqueeze(0))
+            output_image = output_images[0]
+            output_mask = output_masks[0]
+
+        return (output_image, output_mask)
 
     @classmethod
     def IS_CHANGED(s, image):
@@ -1480,13 +1493,10 @@ class LoadImageMask:
         return m.digest().hex()
 
     @classmethod
-    def VALIDATE_INPUTS(s, image, channel):
+    def VALIDATE_INPUTS(s, image):
         if not ldm_patched.utils.path_utils.exists_annotated_filepath(image):
             return "Invalid image file: {}".format(image)
 
-        if channel not in s._color_channels:
-            return "Invalid color channel: {}".format(channel)
-
         return True
 
 class ImageScale:
@@ -1871,6 +1881,7 @@ def init_custom_nodes():
         "nodes_video_model.py",
         "nodes_sag.py",
         "nodes_perpneg.py",
+        "nodes_stable3d.py",
     ]
 
     for node_file in extras_files:
diff --git a/ldm_patched/contrib/external_custom_sampler.py b/ldm_patched/contrib/external_custom_sampler.py
index 9413a58f..6e5a769b 100644
--- a/ldm_patched/contrib/external_custom_sampler.py
+++ b/ldm_patched/contrib/external_custom_sampler.py
@@ -89,6 +89,7 @@ class SDTurboScheduler:
         return {"required":
                     {"model": ("MODEL",),
                      "steps": ("INT", {"default": 1, "min": 1, "max": 10}),
+                     "denoise": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}),
                       }
                }
     RETURN_TYPES = ("SIGMAS",)
@@ -96,8 +97,9 @@ class SDTurboScheduler:
 
     FUNCTION = "get_sigmas"
 
-    def get_sigmas(self, model, steps):
-        timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[:steps]
+    def get_sigmas(self, model, steps, denoise):
+        start_step = 10 - int(10 * denoise)
+        timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[start_step:start_step + steps]
         sigmas = model.model.model_sampling.sigma(timesteps)
         sigmas = torch.cat([sigmas, sigmas.new_zeros([1])])
         return (sigmas, )
diff --git a/ldm_patched/contrib/external_mask.py b/ldm_patched/contrib/external_mask.py
index ab1da4c6..a86a7fe6 100644
--- a/ldm_patched/contrib/external_mask.py
+++ b/ldm_patched/contrib/external_mask.py
@@ -8,6 +8,7 @@ import ldm_patched.modules.utils
 from ldm_patched.contrib.external import MAX_RESOLUTION
 
 def composite(destination, source, x, y, mask = None, multiplier = 8, resize_source = False):
+    source = source.to(destination.device)
     if resize_source:
         source = torch.nn.functional.interpolate(source, size=(destination.shape[2], destination.shape[3]), mode="bilinear")
 
@@ -22,7 +23,7 @@ def composite(destination, source, x, y, mask = None, multiplier = 8, resize_sou
     if mask is None:
         mask = torch.ones_like(source)
     else:
-        mask = mask.clone()
+        mask = mask.to(destination.device, copy=True)
         mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(source.shape[2], source.shape[3]), mode="bilinear")
         mask = ldm_patched.modules.utils.repeat_to_batch_size(mask, source.shape[0])
 
diff --git a/ldm_patched/contrib/external_rebatch.py b/ldm_patched/contrib/external_rebatch.py
index 607c7feb..c24cc8c3 100644
--- a/ldm_patched/contrib/external_rebatch.py
+++ b/ldm_patched/contrib/external_rebatch.py
@@ -101,10 +101,40 @@ class LatentRebatch:
 
         return (output_list,)
 
+class ImageRebatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "images": ("IMAGE",),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    INPUT_IS_LIST = True
+    OUTPUT_IS_LIST = (True, )
+
+    FUNCTION = "rebatch"
+
+    CATEGORY = "image/batch"
+
+    def rebatch(self, images, batch_size):
+        batch_size = batch_size[0]
+
+        output_list = []
+        all_images = []
+        for img in images:
+            for i in range(img.shape[0]):
+                all_images.append(img[i:i+1])
+
+        for i in range(0, len(all_images), batch_size):
+            output_list.append(torch.cat(all_images[i:i+batch_size], dim=0))
+
+        return (output_list,)
+
 NODE_CLASS_MAPPINGS = {
     "RebatchLatents": LatentRebatch,
+    "RebatchImages": ImageRebatch,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
     "RebatchLatents": "Rebatch Latents",
-}
\ No newline at end of file
+    "RebatchImages": "Rebatch Images",
+}
diff --git a/ldm_patched/contrib/external_sag.py b/ldm_patched/contrib/external_sag.py
index 06ca67fa..9cffe879 100644
--- a/ldm_patched/contrib/external_sag.py
+++ b/ldm_patched/contrib/external_sag.py
@@ -153,7 +153,7 @@ class SelfAttentionGuidance:
             (sag, _) = ldm_patched.modules.samplers.calc_cond_uncond_batch(model, uncond, None, degraded_noised, sigma, model_options)
             return cfg_result + (degraded - sag) * sag_scale
 
-        m.set_model_sampler_post_cfg_function(post_cfg_function)
+        m.set_model_sampler_post_cfg_function(post_cfg_function, disable_cfg1_optimization=True)
 
         # from diffusers:
         # unet.mid_block.attentions[0].transformer_blocks[0].attn1.patch
diff --git a/ldm_patched/contrib/external_stable3d.py b/ldm_patched/contrib/external_stable3d.py
new file mode 100644
index 00000000..2913a3d0
--- /dev/null
+++ b/ldm_patched/contrib/external_stable3d.py
@@ -0,0 +1,60 @@
+# https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py 
+
+import torch
+import ldm_patched.contrib.external
+import ldm_patched.modules.utils
+
+def camera_embeddings(elevation, azimuth):
+    elevation = torch.as_tensor([elevation])
+    azimuth = torch.as_tensor([azimuth])
+    embeddings = torch.stack(
+        [
+                torch.deg2rad(
+                    (90 - elevation) - (90)
+                ),  # Zero123 polar is 90-elevation
+                torch.sin(torch.deg2rad(azimuth)),
+                torch.cos(torch.deg2rad(azimuth)),
+                torch.deg2rad(
+                    90 - torch.full_like(elevation, 0)
+                ),
+        ], dim=-1).unsqueeze(1)
+
+    return embeddings
+
+
+class StableZero123_Conditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "init_image": ("IMAGE",),
+                              "vae": ("VAE",),
+                              "width": ("INT", {"default": 256, "min": 16, "max": ldm_patched.contrib.external.MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 256, "min": 16, "max": ldm_patched.contrib.external.MAX_RESOLUTION, "step": 8}),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              "elevation": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0}),
+                              "azimuth": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/3d_models"
+
+    def encode(self, clip_vision, init_image, vae, width, height, batch_size, elevation, azimuth):
+        output = clip_vision.encode_image(init_image)
+        pooled = output.image_embeds.unsqueeze(0)
+        pixels = ldm_patched.modules.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1)
+        encode_pixels = pixels[:,:,:,:3]
+        t = vae.encode(encode_pixels)
+        cam_embeds = camera_embeddings(elevation, azimuth)
+        cond = torch.cat([pooled, cam_embeds.repeat((pooled.shape[0], 1, 1))], dim=-1)
+
+        positive = [[cond, {"concat_latent_image": t}]]
+        negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t)}]]
+        latent = torch.zeros([batch_size, 4, height // 8, width // 8])
+        return (positive, negative, {"samples":latent})
+
+NODE_CLASS_MAPPINGS = {
+    "StableZero123_Conditioning": StableZero123_Conditioning,
+}
diff --git a/ldm_patched/ldm/models/autoencoder.py b/ldm_patched/ldm/models/autoencoder.py
index 14224ad3..c809a0c3 100644
--- a/ldm_patched/ldm/models/autoencoder.py
+++ b/ldm_patched/ldm/models/autoencoder.py
@@ -8,6 +8,7 @@ from ldm_patched.ldm.modules.distributions.distributions import DiagonalGaussian
 
 from ldm_patched.ldm.util import instantiate_from_config
 from ldm_patched.ldm.modules.ema import LitEma
+import ldm_patched.modules.ops
 
 class DiagonalGaussianRegularizer(torch.nn.Module):
     def __init__(self, sample: bool = True):
@@ -161,12 +162,12 @@ class AutoencodingEngineLegacy(AutoencodingEngine):
             },
             **kwargs,
         )
-        self.quant_conv = torch.nn.Conv2d(
+        self.quant_conv = ldm_patched.modules.ops.disable_weight_init.Conv2d(
             (1 + ddconfig["double_z"]) * ddconfig["z_channels"],
             (1 + ddconfig["double_z"]) * embed_dim,
             1,
         )
-        self.post_quant_conv = torch.nn.Conv2d(embed_dim, ddconfig["z_channels"], 1)
+        self.post_quant_conv = ldm_patched.modules.ops.disable_weight_init.Conv2d(embed_dim, ddconfig["z_channels"], 1)
         self.embed_dim = embed_dim
 
     def get_autoencoder_params(self) -> list:
diff --git a/ldm_patched/ldm/modules/diffusionmodules/model.py b/ldm_patched/ldm/modules/diffusionmodules/model.py
index 9c898639..1901145c 100644
--- a/ldm_patched/ldm/modules/diffusionmodules/model.py
+++ b/ldm_patched/ldm/modules/diffusionmodules/model.py
@@ -41,7 +41,7 @@ def nonlinearity(x):
 
 
 def Normalize(in_channels, num_groups=32):
-    return torch.nn.GroupNorm(num_groups=num_groups, num_channels=in_channels, eps=1e-6, affine=True)
+    return ops.GroupNorm(num_groups=num_groups, num_channels=in_channels, eps=1e-6, affine=True)
 
 
 class Upsample(nn.Module):
diff --git a/ldm_patched/ldm/modules/diffusionmodules/upscaling.py b/ldm_patched/ldm/modules/diffusionmodules/upscaling.py
index 59d4d3cc..2cde80c5 100644
--- a/ldm_patched/ldm/modules/diffusionmodules/upscaling.py
+++ b/ldm_patched/ldm/modules/diffusionmodules/upscaling.py
@@ -43,8 +43,8 @@ class AbstractLowScaleModel(nn.Module):
 
     def q_sample(self, x_start, t, noise=None):
         noise = default(noise, lambda: torch.randn_like(x_start))
-        return (extract_into_tensor(self.sqrt_alphas_cumprod, t, x_start.shape) * x_start +
-                extract_into_tensor(self.sqrt_one_minus_alphas_cumprod, t, x_start.shape) * noise)
+        return (extract_into_tensor(self.sqrt_alphas_cumprod.to(x_start.device), t, x_start.shape) * x_start +
+                extract_into_tensor(self.sqrt_one_minus_alphas_cumprod.to(x_start.device), t, x_start.shape) * noise)
 
     def forward(self, x):
         return x, None
diff --git a/ldm_patched/ldm/modules/diffusionmodules/util.py b/ldm_patched/ldm/modules/diffusionmodules/util.py
index ca0f4b99..e261e06a 100644
--- a/ldm_patched/ldm/modules/diffusionmodules/util.py
+++ b/ldm_patched/ldm/modules/diffusionmodules/util.py
@@ -51,9 +51,9 @@ class AlphaBlender(nn.Module):
         if self.merge_strategy == "fixed":
             # make shape compatible
             # alpha = repeat(self.mix_factor, '1 -> b () t  () ()', t=t, b=bs)
-            alpha = self.mix_factor
+            alpha = self.mix_factor.to(image_only_indicator.device)
         elif self.merge_strategy == "learned":
-            alpha = torch.sigmoid(self.mix_factor)
+            alpha = torch.sigmoid(self.mix_factor.to(image_only_indicator.device))
             # make shape compatible
             # alpha = repeat(alpha, '1 -> s () ()', s = t * bs)
         elif self.merge_strategy == "learned_with_images":
@@ -61,7 +61,7 @@ class AlphaBlender(nn.Module):
             alpha = torch.where(
                 image_only_indicator.bool(),
                 torch.ones(1, 1, device=image_only_indicator.device),
-                rearrange(torch.sigmoid(self.mix_factor), "... -> ... 1"),
+                rearrange(torch.sigmoid(self.mix_factor.to(image_only_indicator.device)), "... -> ... 1"),
             )
             alpha = rearrange(alpha, self.rearrange_pattern)
             # make shape compatible
diff --git a/ldm_patched/ldm/modules/encoders/noise_aug_modules.py b/ldm_patched/ldm/modules/encoders/noise_aug_modules.py
index b59bf204..66767b58 100644
--- a/ldm_patched/ldm/modules/encoders/noise_aug_modules.py
+++ b/ldm_patched/ldm/modules/encoders/noise_aug_modules.py
@@ -15,12 +15,12 @@ class CLIPEmbeddingNoiseAugmentation(ImageConcatWithNoiseAugmentation):
 
     def scale(self, x):
         # re-normalize to centered mean and unit variance
-        x = (x - self.data_mean) * 1. / self.data_std
+        x = (x - self.data_mean.to(x.device)) * 1. / self.data_std.to(x.device)
         return x
 
     def unscale(self, x):
         # back to original data stats
-        x = (x * self.data_std) + self.data_mean
+        x = (x * self.data_std.to(x.device)) + self.data_mean.to(x.device)
         return x
 
     def forward(self, x, noise_level=None):
diff --git a/ldm_patched/ldm/modules/temporal_ae.py b/ldm_patched/ldm/modules/temporal_ae.py
index 248d850b..ee851921 100644
--- a/ldm_patched/ldm/modules/temporal_ae.py
+++ b/ldm_patched/ldm/modules/temporal_ae.py
@@ -82,14 +82,14 @@ class VideoResBlock(ResnetBlock):
 
             x = self.time_stack(x, temb)
 
-            alpha = self.get_alpha(bs=b // timesteps)
+            alpha = self.get_alpha(bs=b // timesteps).to(x.device)
             x = alpha * x + (1.0 - alpha) * x_mix
 
             x = rearrange(x, "b c t h w -> (b t) c h w")
         return x
 
 
-class AE3DConv(torch.nn.Conv2d):
+class AE3DConv(ops.Conv2d):
     def __init__(self, in_channels, out_channels, video_kernel_size=3, *args, **kwargs):
         super().__init__(in_channels, out_channels, *args, **kwargs)
         if isinstance(video_kernel_size, Iterable):
@@ -97,7 +97,7 @@ class AE3DConv(torch.nn.Conv2d):
         else:
             padding = int(video_kernel_size // 2)
 
-        self.time_mix_conv = torch.nn.Conv3d(
+        self.time_mix_conv = ops.Conv3d(
             in_channels=out_channels,
             out_channels=out_channels,
             kernel_size=video_kernel_size,
@@ -167,7 +167,7 @@ class AttnVideoBlock(AttnBlock):
         emb = emb[:, None, :]
         x_mix = x_mix + emb
 
-        alpha = self.get_alpha()
+        alpha = self.get_alpha().to(x.device)
         x_mix = self.time_mix_block(x_mix, timesteps=timesteps)
         x = alpha * x + (1.0 - alpha) * x_mix  # alpha merge
 
diff --git a/ldm_patched/modules/args_parser.py b/ldm_patched/modules/args_parser.py
index 7957783e..7ffc4a81 100644
--- a/ldm_patched/modules/args_parser.py
+++ b/ldm_patched/modules/args_parser.py
@@ -66,6 +66,8 @@ fpvae_group.add_argument("--vae-in-fp16", action="store_true")
 fpvae_group.add_argument("--vae-in-fp32", action="store_true")
 fpvae_group.add_argument("--vae-in-bf16", action="store_true")
 
+parser.add_argument("--vae-in-cpu", action="store_true")
+
 fpte_group = parser.add_mutually_exclusive_group()
 fpte_group.add_argument("--clip-in-fp8-e4m3fn", action="store_true")
 fpte_group.add_argument("--clip-in-fp8-e5m2", action="store_true")
diff --git a/ldm_patched/modules/clip_model.py b/ldm_patched/modules/clip_model.py
index e7f3fb2d..4c4588c3 100644
--- a/ldm_patched/modules/clip_model.py
+++ b/ldm_patched/modules/clip_model.py
@@ -151,7 +151,7 @@ class CLIPVisionEmbeddings(torch.nn.Module):
 
     def forward(self, pixel_values):
         embeds = self.patch_embedding(pixel_values).flatten(2).transpose(1, 2)
-        return torch.cat([self.class_embedding.expand(pixel_values.shape[0], 1, -1), embeds], dim=1) + self.position_embedding.weight
+        return torch.cat([self.class_embedding.to(embeds.device).expand(pixel_values.shape[0], 1, -1), embeds], dim=1) + self.position_embedding.weight.to(embeds.device)
 
 
 class CLIPVision(torch.nn.Module):
diff --git a/ldm_patched/modules/controlnet.py b/ldm_patched/modules/controlnet.py
index e478e221..a7224660 100644
--- a/ldm_patched/modules/controlnet.py
+++ b/ldm_patched/modules/controlnet.py
@@ -283,7 +283,7 @@ class ControlLora(ControlNet):
         cm = self.control_model.state_dict()
 
         for k in sd:
-            weight = ldm_patched.modules.model_management.resolve_lowvram_weight(sd[k], diffusion_model, k)
+            weight = sd[k]
             try:
                 ldm_patched.modules.utils.set_attr(self.control_model, k, weight)
             except:
diff --git a/ldm_patched/modules/model_base.py b/ldm_patched/modules/model_base.py
index 1374a669..c04ccb3e 100644
--- a/ldm_patched/modules/model_base.py
+++ b/ldm_patched/modules/model_base.py
@@ -126,9 +126,15 @@ class BaseModel(torch.nn.Module):
                         cond_concat.append(blank_inpaint_image_like(noise))
             data = torch.cat(cond_concat, dim=1)
             out['c_concat'] = ldm_patched.modules.conds.CONDNoiseShape(data)
+
         adm = self.encode_adm(**kwargs)
         if adm is not None:
             out['y'] = ldm_patched.modules.conds.CONDRegular(adm)
+
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['c_crossattn'] = ldm_patched.modules.conds.CONDCrossAttn(cross_attn)
+
         return out
 
     def load_model_weights(self, sd, unet_prefix=""):
@@ -156,11 +162,7 @@ class BaseModel(torch.nn.Module):
 
     def state_dict_for_saving(self, clip_state_dict, vae_state_dict):
         clip_state_dict = self.model_config.process_clip_state_dict_for_saving(clip_state_dict)
-        unet_sd = self.diffusion_model.state_dict()
-        unet_state_dict = {}
-        for k in unet_sd:
-            unet_state_dict[k] = ldm_patched.modules.model_management.resolve_lowvram_weight(unet_sd[k], self.diffusion_model, k)
-
+        unet_state_dict = self.diffusion_model.state_dict()
         unet_state_dict = self.model_config.process_unet_state_dict_for_saving(unet_state_dict)
         vae_state_dict = self.model_config.process_vae_state_dict_for_saving(vae_state_dict)
         if self.get_dtype() == torch.float16:
@@ -322,9 +324,43 @@ class SVD_img2vid(BaseModel):
 
         out['c_concat'] = ldm_patched.modules.conds.CONDNoiseShape(latent_image)
 
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            out['c_crossattn'] = ldm_patched.modules.conds.CONDCrossAttn(cross_attn)
+
         if "time_conditioning" in kwargs:
             out["time_context"] = ldm_patched.modules.conds.CONDCrossAttn(kwargs["time_conditioning"])
 
         out['image_only_indicator'] = ldm_patched.modules.conds.CONDConstant(torch.zeros((1,), device=device))
         out['num_video_frames'] = ldm_patched.modules.conds.CONDConstant(noise.shape[0])
         return out
+
+class Stable_Zero123(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.EPS, device=None, cc_projection_weight=None, cc_projection_bias=None):
+        super().__init__(model_config, model_type, device=device)
+        self.cc_projection = ldm_patched.modules.ops.manual_cast.Linear(cc_projection_weight.shape[1], cc_projection_weight.shape[0], dtype=self.get_dtype(), device=device)
+        self.cc_projection.weight.copy_(cc_projection_weight)
+        self.cc_projection.bias.copy_(cc_projection_bias)
+
+    def extra_conds(self, **kwargs):
+        out = {}
+
+        latent_image = kwargs.get("concat_latent_image", None)
+        noise = kwargs.get("noise", None)
+
+        if latent_image is None:
+            latent_image = torch.zeros_like(noise)
+
+        if latent_image.shape[1:] != noise.shape[1:]:
+            latent_image = utils.common_upscale(latent_image, noise.shape[-1], noise.shape[-2], "bilinear", "center")
+
+        latent_image = utils.resize_to_batch_size(latent_image, noise.shape[0])
+
+        out['c_concat'] = ldm_patched.modules.conds.CONDNoiseShape(latent_image)
+
+        cross_attn = kwargs.get("cross_attn", None)
+        if cross_attn is not None:
+            if cross_attn.shape[-1] != 768:
+                cross_attn = self.cc_projection(cross_attn)
+            out['c_crossattn'] = ldm_patched.modules.conds.CONDCrossAttn(cross_attn)
+        return out
diff --git a/ldm_patched/modules/model_management.py b/ldm_patched/modules/model_management.py
index 31cf95da..59f0f3d0 100644
--- a/ldm_patched/modules/model_management.py
+++ b/ldm_patched/modules/model_management.py
@@ -186,6 +186,9 @@ except:
 if is_intel_xpu():
     VAE_DTYPE = torch.bfloat16
 
+if args.vae_in_cpu:
+    VAE_DTYPE = torch.float32
+
 if args.vae_in_fp16:
     VAE_DTYPE = torch.float16
 elif args.vae_in_bf16:
@@ -218,15 +221,8 @@ if args.all_in_fp16:
     FORCE_FP16 = True
 
 if lowvram_available:
-    try:
-        import accelerate
-        if set_vram_to in (VRAMState.LOW_VRAM, VRAMState.NO_VRAM):
-            vram_state = set_vram_to
-    except Exception as e:
-        import traceback
-        print(traceback.format_exc())
-        print("ERROR: LOW VRAM MODE NEEDS accelerate.")
-        lowvram_available = False
+    if set_vram_to in (VRAMState.LOW_VRAM, VRAMState.NO_VRAM):
+        vram_state = set_vram_to
 
 
 if cpu_state != CPUState.GPU:
@@ -266,6 +262,14 @@ print("VAE dtype:", VAE_DTYPE)
 
 current_loaded_models = []
 
+def module_size(module):
+    module_mem = 0
+    sd = module.state_dict()
+    for k in sd:
+        t = sd[k]
+        module_mem += t.nelement() * t.element_size()
+    return module_mem
+
 class LoadedModel:
     def __init__(self, model):
         self.model = model
@@ -298,8 +302,20 @@ class LoadedModel:
 
         if lowvram_model_memory > 0:
             print("loading in lowvram mode", lowvram_model_memory/(1024 * 1024))
-            device_map = accelerate.infer_auto_device_map(self.real_model, max_memory={0: "{}MiB".format(lowvram_model_memory // (1024 * 1024)), "cpu": "16GiB"})
-            accelerate.dispatch_model(self.real_model, device_map=device_map, main_device=self.device)
+            mem_counter = 0
+            for m in self.real_model.modules():
+                if hasattr(m, "ldm_patched_cast_weights"):
+                    m.prev_ldm_patched_cast_weights = m.ldm_patched_cast_weights
+                    m.ldm_patched_cast_weights = True
+                    module_mem = module_size(m)
+                    if mem_counter + module_mem < lowvram_model_memory:
+                        m.to(self.device)
+                        mem_counter += module_mem
+                elif hasattr(m, "weight"): #only modules with ldm_patched_cast_weights can be set to lowvram mode
+                    m.to(self.device)
+                    mem_counter += module_size(m)
+                    print("lowvram: loaded module regularly", m)
+
             self.model_accelerated = True
 
         if is_intel_xpu() and not args.disable_ipex_hijack:
@@ -309,7 +325,11 @@ class LoadedModel:
 
     def model_unload(self):
         if self.model_accelerated:
-            accelerate.hooks.remove_hook_from_submodules(self.real_model)
+            for m in self.real_model.modules():
+                if hasattr(m, "prev_ldm_patched_cast_weights"):
+                    m.ldm_patched_cast_weights = m.prev_ldm_patched_cast_weights
+                    del m.prev_ldm_patched_cast_weights
+
             self.model_accelerated = False
 
         self.model.unpatch_model(self.model.offload_device)
@@ -402,14 +422,14 @@ def load_models_gpu(models, memory_required=0):
         if lowvram_available and (vram_set_state == VRAMState.LOW_VRAM or vram_set_state == VRAMState.NORMAL_VRAM):
             model_size = loaded_model.model_memory_required(torch_dev)
             current_free_mem = get_free_memory(torch_dev)
-            lowvram_model_memory = int(max(256 * (1024 * 1024), (current_free_mem - 1024 * (1024 * 1024)) / 1.3 ))
+            lowvram_model_memory = int(max(64 * (1024 * 1024), (current_free_mem - 1024 * (1024 * 1024)) / 1.3 ))
             if model_size > (current_free_mem - inference_memory): #only switch to lowvram if really necessary
                 vram_set_state = VRAMState.LOW_VRAM
             else:
                 lowvram_model_memory = 0
 
         if vram_set_state == VRAMState.NO_VRAM:
-            lowvram_model_memory = 256 * 1024 * 1024
+            lowvram_model_memory = 64 * 1024 * 1024
 
         cur_loaded_model = loaded_model.model_load(lowvram_model_memory)
         current_loaded_models.insert(0, loaded_model)
@@ -538,6 +558,8 @@ def intermediate_device():
         return torch.device("cpu")
 
 def vae_device():
+    if args.vae_in_cpu:
+        return torch.device("cpu")
     return get_torch_device()
 
 def vae_offload_device():
@@ -566,6 +588,11 @@ def supports_dtype(device, dtype): #TODO
         return True
     return False
 
+def device_supports_non_blocking(device):
+    if is_device_mps(device):
+        return False #pytorch bug? mps doesn't support non blocking
+    return True
+
 def cast_to_device(tensor, device, dtype, copy=False):
     device_supports_cast = False
     if tensor.dtype == torch.float32 or tensor.dtype == torch.float16:
@@ -576,9 +603,7 @@ def cast_to_device(tensor, device, dtype, copy=False):
         elif is_intel_xpu():
             device_supports_cast = True
 
-    non_blocking = True
-    if is_device_mps(device):
-        non_blocking = False #pytorch bug? mps doesn't support non blocking
+    non_blocking = device_supports_non_blocking(device)
 
     if device_supports_cast:
         if copy:
@@ -742,11 +767,11 @@ def soft_empty_cache(force=False):
             torch.cuda.empty_cache()
             torch.cuda.ipc_collect()
 
-def resolve_lowvram_weight(weight, model, key):
-    if weight.device == torch.device("meta"): #lowvram NOTE: this depends on the inner working of the accelerate library so it might break.
-        key_split = key.split('.')              # I have no idea why they don't just leave the weight there instead of using the meta device.
-        op = ldm_patched.modules.utils.get_attr(model, '.'.join(key_split[:-1]))
-        weight = op._hf_hook.weights_map[key_split[-1]]
+def unload_all_models():
+    free_memory(1e30, get_torch_device())
+
+
+def resolve_lowvram_weight(weight, model, key): #TODO: remove
     return weight
 
 #TODO: might be cleaner to put this somewhere else
diff --git a/ldm_patched/modules/model_patcher.py b/ldm_patched/modules/model_patcher.py
index ae795ca9..0945a13c 100644
--- a/ldm_patched/modules/model_patcher.py
+++ b/ldm_patched/modules/model_patcher.py
@@ -28,13 +28,9 @@ class ModelPatcher:
         if self.size > 0:
             return self.size
         model_sd = self.model.state_dict()
-        size = 0
-        for k in model_sd:
-            t = model_sd[k]
-            size += t.nelement() * t.element_size()
-        self.size = size
+        self.size = ldm_patched.modules.model_management.module_size(self.model)
         self.model_keys = set(model_sd.keys())
-        return size
+        return self.size
 
     def clone(self):
         n = ModelPatcher(self.model, self.load_device, self.offload_device, self.size, self.current_device, weight_inplace_update=self.weight_inplace_update)
@@ -55,14 +51,18 @@ class ModelPatcher:
     def memory_required(self, input_shape):
         return self.model.memory_required(input_shape=input_shape)
 
-    def set_model_sampler_cfg_function(self, sampler_cfg_function):
+    def set_model_sampler_cfg_function(self, sampler_cfg_function, disable_cfg1_optimization=False):
         if len(inspect.signature(sampler_cfg_function).parameters) == 3:
             self.model_options["sampler_cfg_function"] = lambda args: sampler_cfg_function(args["cond"], args["uncond"], args["cond_scale"]) #Old way
         else:
             self.model_options["sampler_cfg_function"] = sampler_cfg_function
+        if disable_cfg1_optimization:
+            self.model_options["disable_cfg1_optimization"] = True
 
-    def set_model_sampler_post_cfg_function(self, post_cfg_function):
+    def set_model_sampler_post_cfg_function(self, post_cfg_function, disable_cfg1_optimization=False):
         self.model_options["sampler_post_cfg_function"] = self.model_options.get("sampler_post_cfg_function", []) + [post_cfg_function]
+        if disable_cfg1_optimization:
+            self.model_options["disable_cfg1_optimization"] = True
 
     def set_model_unet_function_wrapper(self, unet_wrapper_function):
         self.model_options["model_function_wrapper"] = unet_wrapper_function
diff --git a/ldm_patched/modules/ops.py b/ldm_patched/modules/ops.py
index 08c63384..435aba57 100644
--- a/ldm_patched/modules/ops.py
+++ b/ldm_patched/modules/ops.py
@@ -1,27 +1,93 @@
 import torch
 from contextlib import contextmanager
+import ldm_patched.modules.model_management
+
+def cast_bias_weight(s, input):
+    bias = None
+    non_blocking = ldm_patched.modules.model_management.device_supports_non_blocking(input.device)
+    if s.bias is not None:
+        bias = s.bias.to(device=input.device, dtype=input.dtype, non_blocking=non_blocking)
+    weight = s.weight.to(device=input.device, dtype=input.dtype, non_blocking=non_blocking)
+    return weight, bias
+
 
 class disable_weight_init:
     class Linear(torch.nn.Linear):
+        ldm_patched_cast_weights = False
         def reset_parameters(self):
             return None
 
+        def forward_ldm_patched_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return torch.nn.functional.linear(input, weight, bias)
+
+        def forward(self, *args, **kwargs):
+            if self.ldm_patched_cast_weights:
+                return self.forward_ldm_patched_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
     class Conv2d(torch.nn.Conv2d):
+        ldm_patched_cast_weights = False
         def reset_parameters(self):
             return None
 
+        def forward_ldm_patched_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return self._conv_forward(input, weight, bias)
+
+        def forward(self, *args, **kwargs):
+            if self.ldm_patched_cast_weights:
+                return self.forward_ldm_patched_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
     class Conv3d(torch.nn.Conv3d):
+        ldm_patched_cast_weights = False
         def reset_parameters(self):
             return None
 
+        def forward_ldm_patched_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return self._conv_forward(input, weight, bias)
+
+        def forward(self, *args, **kwargs):
+            if self.ldm_patched_cast_weights:
+                return self.forward_ldm_patched_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
     class GroupNorm(torch.nn.GroupNorm):
+        ldm_patched_cast_weights = False
         def reset_parameters(self):
             return None
 
+        def forward_ldm_patched_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return torch.nn.functional.group_norm(input, self.num_groups, weight, bias, self.eps)
+
+        def forward(self, *args, **kwargs):
+            if self.ldm_patched_cast_weights:
+                return self.forward_ldm_patched_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
+
     class LayerNorm(torch.nn.LayerNorm):
+        ldm_patched_cast_weights = False
         def reset_parameters(self):
             return None
 
+        def forward_ldm_patched_cast_weights(self, input):
+            weight, bias = cast_bias_weight(self, input)
+            return torch.nn.functional.layer_norm(input, self.normalized_shape, weight, bias, self.eps)
+
+        def forward(self, *args, **kwargs):
+            if self.ldm_patched_cast_weights:
+                return self.forward_ldm_patched_cast_weights(*args, **kwargs)
+            else:
+                return super().forward(*args, **kwargs)
+
     @classmethod
     def conv_nd(s, dims, *args, **kwargs):
         if dims == 2:
@@ -31,35 +97,19 @@ class disable_weight_init:
         else:
             raise ValueError(f"unsupported dimensions: {dims}")
 
-def cast_bias_weight(s, input):
-    bias = None
-    if s.bias is not None:
-        bias = s.bias.to(device=input.device, dtype=input.dtype)
-    weight = s.weight.to(device=input.device, dtype=input.dtype)
-    return weight, bias
 
 class manual_cast(disable_weight_init):
     class Linear(disable_weight_init.Linear):
-        def forward(self, input):
-            weight, bias = cast_bias_weight(self, input)
-            return torch.nn.functional.linear(input, weight, bias)
+        ldm_patched_cast_weights = True
 
     class Conv2d(disable_weight_init.Conv2d):
-        def forward(self, input):
-            weight, bias = cast_bias_weight(self, input)
-            return self._conv_forward(input, weight, bias)
+        ldm_patched_cast_weights = True
 
     class Conv3d(disable_weight_init.Conv3d):
-        def forward(self, input):
-            weight, bias = cast_bias_weight(self, input)
-            return self._conv_forward(input, weight, bias)
+        ldm_patched_cast_weights = True
 
     class GroupNorm(disable_weight_init.GroupNorm):
-        def forward(self, input):
-            weight, bias = cast_bias_weight(self, input)
-            return torch.nn.functional.group_norm(input, self.num_groups, weight, bias, self.eps)
+        ldm_patched_cast_weights = True
 
     class LayerNorm(disable_weight_init.LayerNorm):
-        def forward(self, input):
-            weight, bias = cast_bias_weight(self, input)
-            return torch.nn.functional.layer_norm(input, self.normalized_shape, weight, bias, self.eps)
+        ldm_patched_cast_weights = True
diff --git a/ldm_patched/modules/sample.py b/ldm_patched/modules/sample.py
index 7a7e3092..b5576cee 100644
--- a/ldm_patched/modules/sample.py
+++ b/ldm_patched/modules/sample.py
@@ -47,7 +47,8 @@ def convert_cond(cond):
         temp = c[1].copy()
         model_conds = temp.get("model_conds", {})
         if c[0] is not None:
-            model_conds["c_crossattn"] = ldm_patched.modules.conds.CONDCrossAttn(c[0])
+            model_conds["c_crossattn"] = ldm_patched.modules.conds.CONDCrossAttn(c[0]) #TODO: remove
+            temp["cross_attn"] = c[0]
         temp["model_conds"] = model_conds
         out.append(temp)
     return out
diff --git a/ldm_patched/modules/samplers.py b/ldm_patched/modules/samplers.py
index bfcb3f56..fc17ef4d 100644
--- a/ldm_patched/modules/samplers.py
+++ b/ldm_patched/modules/samplers.py
@@ -244,7 +244,7 @@ def calc_cond_uncond_batch(model, cond, uncond, x_in, timestep, model_options):
 #The main sampling function shared by all the samplers
 #Returns denoised
 def sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options={}, seed=None):
-        if math.isclose(cond_scale, 1.0):
+        if math.isclose(cond_scale, 1.0) and model_options.get("disable_cfg1_optimization", False) == False:
             uncond_ = None
         else:
             uncond_ = uncond
@@ -599,6 +599,13 @@ def sample(model, noise, positive, negative, cfg, device, sampler, sigmas, model
     calculate_start_end_timesteps(model, negative)
     calculate_start_end_timesteps(model, positive)
 
+    if latent_image is not None:
+        latent_image = model.process_latent_in(latent_image)
+
+    if hasattr(model, 'extra_conds'):
+        positive = encode_model_conds(model.extra_conds, positive, noise, device, "positive", latent_image=latent_image, denoise_mask=denoise_mask)
+        negative = encode_model_conds(model.extra_conds, negative, noise, device, "negative", latent_image=latent_image, denoise_mask=denoise_mask)
+
     #make sure each cond area has an opposite one with the same area
     for c in positive:
         create_cond_with_same_area_if_none(negative, c)
@@ -610,13 +617,6 @@ def sample(model, noise, positive, negative, cfg, device, sampler, sigmas, model
     apply_empty_x_to_equal_area(list(filter(lambda c: c.get('control_apply_to_uncond', False) == True, positive)), negative, 'control', lambda cond_cnets, x: cond_cnets[x])
     apply_empty_x_to_equal_area(positive, negative, 'gligen', lambda cond_cnets, x: cond_cnets[x])
 
-    if latent_image is not None:
-        latent_image = model.process_latent_in(latent_image)
-
-    if hasattr(model, 'extra_conds'):
-        positive = encode_model_conds(model.extra_conds, positive, noise, device, "positive", latent_image=latent_image, denoise_mask=denoise_mask)
-        negative = encode_model_conds(model.extra_conds, negative, noise, device, "negative", latent_image=latent_image, denoise_mask=denoise_mask)
-
     extra_args = {"cond":positive, "uncond":negative, "cond_scale": cfg, "model_options": model_options, "seed":seed}
 
     samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
diff --git a/ldm_patched/modules/supported_models.py b/ldm_patched/modules/supported_models.py
index 2f2dee87..251bf6ac 100644
--- a/ldm_patched/modules/supported_models.py
+++ b/ldm_patched/modules/supported_models.py
@@ -252,5 +252,32 @@ class SVD_img2vid(supported_models_base.BASE):
     def clip_target(self):
         return None
 
-models = [SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B, Segmind_Vega]
+class Stable_Zero123(supported_models_base.BASE):
+    unet_config = {
+        "context_dim": 768,
+        "model_channels": 320,
+        "use_linear_in_transformer": False,
+        "adm_in_channels": None,
+        "use_temporal_attention": False,
+        "in_channels": 8,
+    }
+
+    unet_extra_config = {
+        "num_heads": 8,
+        "num_head_channels": -1,
+    }
+
+    clip_vision_prefix = "cond_stage_model.model.visual."
+
+    latent_format = latent_formats.SD15
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.Stable_Zero123(self, device=device, cc_projection_weight=state_dict["cc_projection.weight"], cc_projection_bias=state_dict["cc_projection.bias"])
+        return out
+
+    def clip_target(self):
+        return None
+
+
+models = [Stable_Zero123, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B, Segmind_Vega]
 models += [SVD_img2vid]
diff --git a/ldm_patched/taesd/taesd.py b/ldm_patched/taesd/taesd.py
index ac88e594..0b4b885f 100644
--- a/ldm_patched/taesd/taesd.py
+++ b/ldm_patched/taesd/taesd.py
@@ -7,9 +7,10 @@ import torch
 import torch.nn as nn
 
 import ldm_patched.modules.utils
+import ldm_patched.modules.ops
 
 def conv(n_in, n_out, **kwargs):
-    return nn.Conv2d(n_in, n_out, 3, padding=1, **kwargs)
+    return ldm_patched.modules.ops.disable_weight_init.Conv2d(n_in, n_out, 3, padding=1, **kwargs)
 
 class Clamp(nn.Module):
     def forward(self, x):
@@ -19,7 +20,7 @@ class Block(nn.Module):
     def __init__(self, n_in, n_out):
         super().__init__()
         self.conv = nn.Sequential(conv(n_in, n_out), nn.ReLU(), conv(n_out, n_out), nn.ReLU(), conv(n_out, n_out))
-        self.skip = nn.Conv2d(n_in, n_out, 1, bias=False) if n_in != n_out else nn.Identity()
+        self.skip = ldm_patched.modules.ops.disable_weight_init.Conv2d(n_in, n_out, 1, bias=False) if n_in != n_out else nn.Identity()
         self.fuse = nn.ReLU()
     def forward(self, x):
         return self.fuse(self.conv(x) + self.skip(x))
diff --git a/ldm_patched/utils/path_utils.py b/ldm_patched/utils/path_utils.py
index 34cd52c9..d21b6485 100644
--- a/ldm_patched/utils/path_utils.py
+++ b/ldm_patched/utils/path_utils.py
@@ -184,8 +184,7 @@ def cached_filename_list_(folder_name):
     if folder_name not in filename_list_cache:
         return None
     out = filename_list_cache[folder_name]
-    if time.perf_counter() < (out[2] + 0.5):
-        return out
+
     for x in out[1]:
         time_modified = out[1][x]
         folder = x
diff --git a/modules/ops.py b/modules/ops.py
new file mode 100644
index 00000000..ee0e7756
--- /dev/null
+++ b/modules/ops.py
@@ -0,0 +1,19 @@
+import torch
+import contextlib
+
+
+@contextlib.contextmanager
+def use_patched_ops(operations):
+    op_names = ['Linear', 'Conv2d', 'Conv3d', 'GroupNorm', 'LayerNorm']
+    backups = {op_name: getattr(torch.nn, op_name) for op_name in op_names}
+
+    try:
+        for op_name in op_names:
+            setattr(torch.nn, op_name, getattr(operations, op_name))
+
+        yield
+
+    finally:
+        for op_name in op_names:
+            setattr(torch.nn, op_name, backups[op_name])
+    return
diff --git a/modules/patch.py b/modules/patch.py
index 66b243cb..2e2409c5 100644
--- a/modules/patch.py
+++ b/modules/patch.py
@@ -218,7 +218,7 @@ def compute_cfg(uncond, cond, cfg_scale, t):
 def patched_sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options=None, seed=None):
     global eps_record
 
-    if math.isclose(cond_scale, 1.0):
+    if math.isclose(cond_scale, 1.0) and not model_options.get("disable_cfg1_optimization", False):
         final_x0 = calc_cond_uncond_batch(model, cond, None, x, timestep, model_options)[0]
 
         if eps_record is not None:
@@ -480,6 +480,10 @@ def build_loaded(module, loader_name):
 
 
 def patch_all():
+    if ldm_patched.modules.model_management.directml_enabled:
+        ldm_patched.modules.model_management.lowvram_available = True
+        ldm_patched.modules.model_management.OOM_EXCEPTION = Exception
+    
     patch_all_precision()
     patch_all_clip()
 
diff --git a/modules/patch_clip.py b/modules/patch_clip.py
index 74ee436a..06b7f01b 100644
--- a/modules/patch_clip.py
+++ b/modules/patch_clip.py
@@ -16,30 +16,12 @@ import ldm_patched.modules.samplers
 import ldm_patched.modules.sd
 import ldm_patched.modules.sd1_clip
 import ldm_patched.modules.clip_vision
-import ldm_patched.modules.model_management as model_management
 import ldm_patched.modules.ops as ops
-import contextlib
 
+from modules.ops import use_patched_ops
 from transformers import CLIPTextModel, CLIPTextConfig, modeling_utils, CLIPVisionConfig, CLIPVisionModelWithProjection
 
 
-@contextlib.contextmanager
-def use_patched_ops(operations):
-    op_names = ['Linear', 'Conv2d', 'Conv3d', 'GroupNorm', 'LayerNorm']
-    backups = {op_name: getattr(torch.nn, op_name) for op_name in op_names}
-
-    try:
-        for op_name in op_names:
-            setattr(torch.nn, op_name, getattr(operations, op_name))
-
-        yield
-
-    finally:
-        for op_name in op_names:
-            setattr(torch.nn, op_name, backups[op_name])
-    return
-
-
 def patched_encode_token_weights(self, token_weight_pairs):
     to_encode = list()
     max_token_len = 0
diff --git a/modules/sample_hijack.py b/modules/sample_hijack.py
index 7d8f757b..5936a096 100644
--- a/modules/sample_hijack.py
+++ b/modules/sample_hijack.py
@@ -99,6 +99,13 @@ def sample_hacked(model, noise, positive, negative, cfg, device, sampler, sigmas
     calculate_start_end_timesteps(model, negative)
     calculate_start_end_timesteps(model, positive)
 
+    if latent_image is not None:
+        latent_image = model.process_latent_in(latent_image)
+
+    if hasattr(model, 'extra_conds'):
+        positive = encode_model_conds(model.extra_conds, positive, noise, device, "positive", latent_image=latent_image, denoise_mask=denoise_mask)
+        negative = encode_model_conds(model.extra_conds, negative, noise, device, "negative", latent_image=latent_image, denoise_mask=denoise_mask)
+
     #make sure each cond area has an opposite one with the same area
     for c in positive:
         create_cond_with_same_area_if_none(negative, c)
@@ -111,13 +118,6 @@ def sample_hacked(model, noise, positive, negative, cfg, device, sampler, sigmas
     apply_empty_x_to_equal_area(list(filter(lambda c: c.get('control_apply_to_uncond', False) == True, positive)), negative, 'control', lambda cond_cnets, x: cond_cnets[x])
     apply_empty_x_to_equal_area(positive, negative, 'gligen', lambda cond_cnets, x: cond_cnets[x])
 
-    if latent_image is not None:
-        latent_image = model.process_latent_in(latent_image)
-
-    if hasattr(model, 'extra_conds'):
-        positive = encode_model_conds(model.extra_conds, positive, noise, device, "positive", latent_image=latent_image, denoise_mask=denoise_mask)
-        negative = encode_model_conds(model.extra_conds, negative, noise, device, "negative", latent_image=latent_image, denoise_mask=denoise_mask)
-
     extra_args = {"cond":positive, "uncond":negative, "cond_scale": cfg, "model_options": model_options, "seed":seed}
 
     if current_refiner is not None and hasattr(current_refiner.model, 'extra_conds'):
@@ -174,7 +174,7 @@ def calculate_sigmas_scheduler_hacked(model, scheduler_name, steps):
     elif scheduler_name == "sgm_uniform":
         sigmas = normal_scheduler(model, steps, sgm=True)
     elif scheduler_name == "turbo":
-        sigmas = SDTurboScheduler().get_sigmas(namedtuple('Patcher', ['model'])(model=model), steps)[0]
+        sigmas = SDTurboScheduler().get_sigmas(namedtuple('Patcher', ['model'])(model=model), steps=steps, denoise=1.0)[0]
     else:
         raise TypeError("error invalid scheduler")
     return sigmas
diff --git a/readme.md b/readme.md
index 5dfd96cb..5fd1baa7 100644
--- a/readme.md
+++ b/readme.md
@@ -245,19 +245,18 @@ See the guidelines [here](https://github.com/lllyasviel/Fooocus/discussions/1405
 
 Below is the minimal requirement for running Fooocus locally. If your device capability is lower than this spec, you may not be able to use Fooocus locally. (Please let us know, in any case, if your device capability is lower but Fooocus still works.)
 
-| Operating System  | GPU                          | Minimal GPU Memory        | Minimal System Memory     | [System Swap](troubleshoot.md) | Note                                  |
-|-------------------|------------------------------|---------------------------|---------------------------|--------------------------------|---------------------------------------|
-| Windows/Linux     | Nvidia RTX 4XXX              | 4GB                       | 8GB                       | Required                       | fastest                               |
-| Windows/Linux     | Nvidia RTX 3XXX              | 4GB                       | 8GB                       | Required                       | usually faster than RTX 2XXX          |
-| Windows/Linux     | Nvidia RTX 2XXX              | 4GB                       | 8GB                       | Required                       | usually faster than GTX 1XXX          |
-| Windows/Linux     | Nvidia GTX 1XXX              | 8GB (&ast; 6GB uncertain) | 8GB                       | Required                       | only marginally faster than CPU       |
-| Windows/Linux     | Nvidia GTX 9XX               | 8GB                       | 8GB                       | Required                       | faster or slower than CPU             |
-| Windows/Linux     | Nvidia GTX < 9XX             | Not supported             | /                         | /                              | /                                     |
-| Windows           | AMD GPU                      | 16GB                      | 8GB                       | Required                       | via DirectML                          |
-| Linux             | AMD GPU                      | 8GB                       | 8GB                       | Required                       | via ROCm                              |
-| Windows           | &ast; AMD GPU ROCm (on hold) | 8GB     (on hold)         | 8GB             (on hold) | Required           (on hold)   | via ROCm     (on hold)                |
-| Mac               | M1/M2 MPS                    | Shared                    | Shared                    | Shared                         | about 9x slower than Nvidia RTX 3XXX  |
-| Windows/Linux/Mac | only use CPU                 | 0GB                       | 32GB                      | Required                       | about 17x slower than Nvidia RTX 3XXX |
+| Operating System  | GPU                          | Minimal GPU Memory           | Minimal System Memory     | [System Swap](troubleshoot.md) | Note                                                                       |
+|-------------------|------------------------------|------------------------------|---------------------------|--------------------------------|----------------------------------------------------------------------------|
+| Windows/Linux     | Nvidia RTX 4XXX              | 4GB                          | 8GB                       | Required                       | fastest                                                                    |
+| Windows/Linux     | Nvidia RTX 3XXX              | 4GB                          | 8GB                       | Required                       | usually faster than RTX 2XXX                                               |
+| Windows/Linux     | Nvidia RTX 2XXX              | 4GB                          | 8GB                       | Required                       | usually faster than GTX 1XXX                                               |
+| Windows/Linux     | Nvidia GTX 1XXX              | 8GB (&ast; 6GB uncertain)    | 8GB                       | Required                       | only marginally faster than CPU                                            |
+| Windows/Linux     | Nvidia GTX 9XX               | 8GB                          | 8GB                       | Required                       | faster or slower than CPU                                                  |
+| Windows/Linux     | Nvidia GTX < 9XX             | Not supported                | /                         | /                              | /                                                                          |
+| Windows           | AMD GPU                      | 8GB    (updated 2023 Dec 30) | 8GB                       | Required                       | via DirectML (&ast; ROCm is on hold), about 3x slower than Nvidia RTX 3XXX |
+| Linux             | AMD GPU                      | 8GB                          | 8GB                       | Required                       | via ROCm, about 1.5x slower than Nvidia RTX 3XXX                           |
+| Mac               | M1/M2 MPS                    | Shared                       | Shared                    | Shared                         | about 9x slower than Nvidia RTX 3XXX                                       |
+| Windows/Linux/Mac | only use CPU                 | 0GB                          | 32GB                      | Required                       | about 17x slower than Nvidia RTX 3XXX                                      |
 
 &ast; AMD GPU ROCm (on hold): The AMD is still working on supporting ROCm on Windows.
 
diff --git a/update_log.md b/update_log.md
index 216a2bc4..66176145 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,5 +1,9 @@
 **(2023 Dec 21) Hi all, the feature updating of Fooocus will be paused for about two or three weeks because we have some other workloads. See you soon and we will come back in mid or late Jan. However, you may still see updates if other collaborators are fixing bugs or solving problems.**
 
+# 2.1.857 (requested update)
+
+* Begin to support 8GB AMD GPU on Windows.
+
 # 2.1.854
 
 * Add a button to copy parameters to clipboard in log.

From 2521af308b888d065dd4e5c3e58f788661550692 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sun, 31 Dec 2023 03:38:16 -0800
Subject: [PATCH 008/180] try fix #1671 (#1678)

---
 extras/ip_adapter.py | 21 ++++++++++++---------
 fooocus_version.py   |  2 +-
 2 files changed, 13 insertions(+), 10 deletions(-)

diff --git a/extras/ip_adapter.py b/extras/ip_adapter.py
index cb1d366f..22527d24 100644
--- a/extras/ip_adapter.py
+++ b/extras/ip_adapter.py
@@ -2,12 +2,13 @@ import torch
 import ldm_patched.modules.clip_vision
 import safetensors.torch as sf
 import ldm_patched.modules.model_management as model_management
-import contextlib
 import ldm_patched.ldm.modules.attention as attention
 
 from extras.resampler import Resampler
 from ldm_patched.modules.model_patcher import ModelPatcher
 from modules.core import numpy_to_pytorch
+from modules.ops import use_patched_ops
+from ldm_patched.modules.ops import manual_cast
 
 
 SD_V12_CHANNELS = [320] * 4 + [640] * 4 + [1280] * 4 + [1280] * 6 + [640] * 6 + [320] * 6 + [1280] * 2
@@ -116,14 +117,16 @@ def load_ip_adapter(clip_vision_path, ip_negative_path, ip_adapter_path):
         clip_extra_context_tokens = ip_state_dict["image_proj"]["proj.weight"].shape[0] // cross_attention_dim
         clip_embeddings_dim = None
 
-    ip_adapter = IPAdapterModel(
-        ip_state_dict,
-        plus=plus,
-        cross_attention_dim=cross_attention_dim,
-        clip_embeddings_dim=clip_embeddings_dim,
-        clip_extra_context_tokens=clip_extra_context_tokens,
-        sdxl_plus=sdxl_plus
-    )
+    with use_patched_ops(manual_cast):
+        ip_adapter = IPAdapterModel(
+            ip_state_dict,
+            plus=plus,
+            cross_attention_dim=cross_attention_dim,
+            clip_embeddings_dim=clip_embeddings_dim,
+            clip_extra_context_tokens=clip_extra_context_tokens,
+            sdxl_plus=sdxl_plus
+        )
+
     ip_adapter.sdxl = sdxl
     ip_adapter.load_device = load_device
     ip_adapter.offload_device = offload_device
diff --git a/fooocus_version.py b/fooocus_version.py
index 06533e42..66847e88 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.857'
+version = '2.1.858'

From 0c4f20a0d261d4fe045aae6e5a0fcad185ba6804 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sun, 31 Dec 2023 04:38:31 -0800
Subject: [PATCH 009/180] try fix #1761 again (#1680)

---
 extras/resampler.py | 5 ++---
 fooocus_version.py  | 2 +-
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/extras/resampler.py b/extras/resampler.py
index 4521c8c3..539f309d 100644
--- a/extras/resampler.py
+++ b/extras/resampler.py
@@ -108,8 +108,7 @@ class Resampler(nn.Module):
             )
 
     def forward(self, x):
-        
-        latents = self.latents.repeat(x.size(0), 1, 1)
+        latents = self.latents.repeat(x.size(0), 1, 1).to(x)
         
         x = self.proj_in(x)
         
@@ -118,4 +117,4 @@ class Resampler(nn.Module):
             latents = ff(latents) + latents
             
         latents = self.proj_out(latents)
-        return self.norm_out(latents)
\ No newline at end of file
+        return self.norm_out(latents)
diff --git a/fooocus_version.py b/fooocus_version.py
index 66847e88..8cde204d 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.858'
+version = '2.1.859'

From b5163e057f7cad3dac2f885be1ad9140e693ed4b Mon Sep 17 00:00:00 2001
From: xhoxye <129571231+xhoxye@users.noreply.github.com>
Date: Tue, 2 Jan 2024 23:17:02 +0800
Subject: [PATCH 010/180] =?UTF-8?q?Fooocus=20mask=20enhance,=20mask=20uplo?=
 =?UTF-8?q?ad=20and=20invert.=E8=92=99=E7=89=88=E5=A2=9E=E5=BC=BA=E5=8A=9F?=
 =?UTF-8?q?=E8=83=BD=EF=BC=8C=E4=B8=8A=E4=BC=A0=E8=92=99=E7=89=88=E3=80=81?=
 =?UTF-8?q?=E5=8F=8D=E8=BD=AC=E6=89=8B=E6=B6=82=E8=92=99=E7=89=88=20(#1645?=
 =?UTF-8?q?)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Update webui.py

Added a mask upload interface.添加蒙版上传界面。

* Add mask upload feature

Add mask upload feature.添加蒙版上传功能。

* Add mask upload feature

Add mask upload feature.添加蒙版上传功能。

* Try to fix the problem when drawing mates with external enrichment.

Swap the judgment criteria and try to fix the problem when drawing mates with external enrichment.
调换判断条件，尝试修复和外部扩充绘制配合时出现的问题

* 修改注释

* 修改注释

* Update readme.md

更新日志

* Add mask upload check box,

Add check box, default does not show mask upload box, check it and then show it.
添加复选框，默认不显示蒙版上传框，勾选后再显示。

* back to normal

还原

* Try adding a mask inversion feature

Try adding a mask inversion feature.
尝试添加蒙版反转功能。
增加一个复选框来决定是否将蒙版反转。

* Try adding a mask inversion feature

Try adding a mask inversion feature.
尝试添加蒙版反转功能。
增加一个复选框来决定是否将蒙版反转。

* Fixed word errors

* Fix the words of the description
---
 modules/async_worker.py | 32 +++++++++++++++++++++++++++++++-
 webui.py                | 23 +++++++++++++++++++++--
 2 files changed, 52 insertions(+), 3 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index fab2508e..48626b4c 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -22,6 +22,12 @@ def worker():
     import shared
     import random
     import copy
+    
+    # xhoxye4
+    # 导入 OpenCV 库
+    import cv2
+    # xhoxye4
+    
     import modules.default_pipeline as pipeline
     import modules.core as core
     import modules.flags as flags
@@ -138,6 +144,14 @@ def worker():
         uov_input_image = args.pop()
         outpaint_selections = args.pop()
         inpaint_input_image = args.pop()
+        
+        # xhoxye5
+        # 接收参数
+        inpaint_mask_image = args.pop()
+        inpaint_mask_image_checkbox =  args.pop()
+        invert_mask_checkbox = args.pop()
+        # xhoxye5
+        
         inpaint_additional_prompt = args.pop()
 
         cn_tasks = {x: [] for x in flags.ip_list}
@@ -273,7 +287,23 @@ def worker():
                     current_tab == 'ip' and advanced_parameters.mixing_image_prompt_and_inpaint)) \
                     and isinstance(inpaint_input_image, dict):
                 inpaint_image = inpaint_input_image['image']
-                inpaint_mask = inpaint_input_image['mask'][:, :, 0]
+                        
+                # xhoxye6
+                #inpaint_mask = inpaint_input_image['mask'][:, :, 0]
+                # use uploaded inpaint mask image, if not brush for inpaint.
+                # 如果没有手涂蒙版，则使用上传蒙版，并缩放。调换判断条件，尝试修复和外部扩充绘制配合时出现的问题.
+                # 添加反转手涂蒙版的判断
+                if inpaint_mask_image_checkbox and not np.any(inpaint_input_image['mask'] == [255, 255, 255]) and inpaint_mask_image is not None:
+                    inpaint_height, inpaint_width = inpaint_image.shape[:2]
+                    resized_mask_image = cv2.resize(inpaint_mask_image, (inpaint_width, inpaint_height))
+
+                    inpaint_mask = resized_mask_image[:, :, 0]
+                else:
+                    inpaint_mask = inpaint_input_image['mask'][:, :, 0]
+                    if invert_mask_checkbox:
+                        inpaint_mask = np.invert(inpaint_mask)
+                # xhoxye6
+
                 inpaint_image = HWC3(inpaint_image)
                 if isinstance(inpaint_image, np.ndarray) and isinstance(inpaint_mask, np.ndarray) \
                         and (np.any(inpaint_mask > 127) or len(outpaint_selections) > 0):
diff --git a/webui.py b/webui.py
index 8653a554..f7b09f27 100644
--- a/webui.py
+++ b/webui.py
@@ -186,12 +186,28 @@ with shared.gradio_root:
                                            outputs=ip_ad_cols + ip_types + ip_stops + ip_weights,
                                            queue=False, show_progress=False)
                     with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab:
-                        inpaint_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas')
+                        # xhoxye1
+                        #inpaint_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas')
+
+                        with gr.Row():
+                            inpaint_input_image = grh.Image(label='Drag inpaint or outpaint image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas')
+                                
+                            inpaint_mask_image = grh.Image(label='Drag inpaint mask image to here', source='upload', type='numpy', height=500,visible=False)                              
+                        # xhoxye1
+                                
                         with gr.Row():
                             inpaint_additional_prompt = gr.Textbox(placeholder="Describe what you want to inpaint.", elem_id='inpaint_additional_prompt', label='Inpaint Additional Prompt', visible=False)
                             outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint Direction')
                             inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.flags.inpaint_option_default, label='Method')
                         example_inpaint_prompts = gr.Dataset(samples=modules.config.example_inpaint_prompts, label='Additional Prompt Quick List', components=[inpaint_additional_prompt], visible=False)
+                        
+                        # xhoxye2
+                        with gr.TabItem(label='Inpaint advanced') as inpaint_advanced:
+                            inpaint_mask_image_checkbox = gr.Checkbox(label='Enable upload mask', value=False, container=False)
+                            inpaint_mask_image_checkbox.change(lambda x: gr.update(visible=x), inputs=inpaint_mask_image_checkbox, outputs=inpaint_mask_image, queue=False)  
+                            invert_mask_checkbox = gr.Checkbox(label='Invert hand-drawn mask', value=False, container=False)                       
+                        # xhoxye2
+                        
                         gr.HTML('* Powered by Fooocus Inpaint Engine <a href="https://github.com/lllyasviel/Fooocus/discussions/414" target="_blank">\U0001F4D4 Document</a>')
                         example_inpaint_prompts.click(lambda x: x[0], inputs=example_inpaint_prompts, outputs=inpaint_additional_prompt, show_progress=False, queue=False)
                     with gr.TabItem(label='Describe') as desc_tab:
@@ -510,7 +526,10 @@ with shared.gradio_root:
         ctrls += [base_model, refiner_model, refiner_switch] + lora_ctrls
         ctrls += [input_image_checkbox, current_tab]
         ctrls += [uov_method, uov_input_image]
-        ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt]
+        # xhoxye3
+        #ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt]
+        ctrls += [outpaint_selections, inpaint_input_image, inpaint_mask_image, inpaint_mask_image_checkbox, invert_mask_checkbox, inpaint_additional_prompt]
+        # xhoxye3
         ctrls += ip_ctrls
 
         state_is_generating = gr.State(False)

From e5af760db847a2cf374e7aaa18e62998f8445d1c Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Tue, 2 Jan 2024 07:37:53 -0800
Subject: [PATCH 011/180] mask upload

---
 fooocus_version.py             |  2 +-
 modules/advanced_parameters.py |  9 ++++---
 modules/async_worker.py        | 47 ++++++++++++----------------------
 modules/util.py                | 10 ++++++++
 update_log.md                  |  4 +++
 webui.py                       | 38 +++++++++++++--------------
 6 files changed, 56 insertions(+), 54 deletions(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index 8cde204d..482cc12c 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.859'
+version = '2.1.860'
diff --git a/modules/advanced_parameters.py b/modules/advanced_parameters.py
index ea04db6c..0caa3eec 100644
--- a/modules/advanced_parameters.py
+++ b/modules/advanced_parameters.py
@@ -5,7 +5,8 @@ disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adapt
     debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
     refiner_swap_method, \
     freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
-    debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field = [None] * 32
+    debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
+    inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate = [None] * 35
 
 
 def set_all_advanced_parameters(*args):
@@ -16,7 +17,8 @@ def set_all_advanced_parameters(*args):
         debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
         refiner_swap_method, \
         freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
-        debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field
+        debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
+        inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate
 
     disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name, \
         scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height, \
@@ -25,6 +27,7 @@ def set_all_advanced_parameters(*args):
         debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
         refiner_swap_method, \
         freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
-        debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field = args
+        debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
+        inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate = args
 
     return
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 48626b4c..b2af6712 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -22,12 +22,6 @@ def worker():
     import shared
     import random
     import copy
-    
-    # xhoxye4
-    # 导入 OpenCV 库
-    import cv2
-    # xhoxye4
-    
     import modules.default_pipeline as pipeline
     import modules.core as core
     import modules.flags as flags
@@ -46,7 +40,7 @@ def worker():
     from modules.private_logger import log
     from extras.expansion import safe_str
     from modules.util import remove_empty_str, HWC3, resize_image, \
-        get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image
+        get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image, erode_or_dilate
     from modules.upscaler import perform_upscale
 
     try:
@@ -144,15 +138,8 @@ def worker():
         uov_input_image = args.pop()
         outpaint_selections = args.pop()
         inpaint_input_image = args.pop()
-        
-        # xhoxye5
-        # 接收参数
-        inpaint_mask_image = args.pop()
-        inpaint_mask_image_checkbox =  args.pop()
-        invert_mask_checkbox = args.pop()
-        # xhoxye5
-        
         inpaint_additional_prompt = args.pop()
+        inpaint_mask_image_upload = args.pop()
 
         cn_tasks = {x: [] for x in flags.ip_list}
         for _ in range(4):
@@ -287,22 +274,22 @@ def worker():
                     current_tab == 'ip' and advanced_parameters.mixing_image_prompt_and_inpaint)) \
                     and isinstance(inpaint_input_image, dict):
                 inpaint_image = inpaint_input_image['image']
-                        
-                # xhoxye6
-                #inpaint_mask = inpaint_input_image['mask'][:, :, 0]
-                # use uploaded inpaint mask image, if not brush for inpaint.
-                # 如果没有手涂蒙版，则使用上传蒙版，并缩放。调换判断条件，尝试修复和外部扩充绘制配合时出现的问题.
-                # 添加反转手涂蒙版的判断
-                if inpaint_mask_image_checkbox and not np.any(inpaint_input_image['mask'] == [255, 255, 255]) and inpaint_mask_image is not None:
-                    inpaint_height, inpaint_width = inpaint_image.shape[:2]
-                    resized_mask_image = cv2.resize(inpaint_mask_image, (inpaint_width, inpaint_height))
+                inpaint_mask = inpaint_input_image['mask'][:, :, 0]
+                
+                if advanced_parameters.inpaint_mask_upload_checkbox:
+                    if isinstance(inpaint_mask_image_upload, np.ndarray):
+                        if inpaint_mask_image_upload.ndim == 3:
+                            H, W, C = inpaint_image.shape
+                            inpaint_mask_image_upload = resample_image(inpaint_mask_image_upload, width=W, height=H)
+                            inpaint_mask_image_upload = np.mean(inpaint_mask_image_upload, axis=2)
+                            inpaint_mask_image_upload = (inpaint_mask_image_upload > 127).astype(np.uint8) * 255
+                            inpaint_mask = np.maximum(inpaint_mask, inpaint_mask_image_upload)
 
-                    inpaint_mask = resized_mask_image[:, :, 0]
-                else:
-                    inpaint_mask = inpaint_input_image['mask'][:, :, 0]
-                    if invert_mask_checkbox:
-                        inpaint_mask = np.invert(inpaint_mask)
-                # xhoxye6
+                if int(advanced_parameters.inpaint_erode_or_dilate) != 0:
+                    inpaint_mask = erode_or_dilate(inpaint_mask, advanced_parameters.inpaint_erode_or_dilate)
+
+                if advanced_parameters.invert_mask_checkbox:
+                    inpaint_mask = 255 - inpaint_mask
 
                 inpaint_image = HWC3(inpaint_image)
                 if isinstance(inpaint_image, np.ndarray) and isinstance(inpaint_mask, np.ndarray) \
diff --git a/modules/util.py b/modules/util.py
index fce7efd7..052b746b 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -3,6 +3,7 @@ import datetime
 import random
 import math
 import os
+import cv2
 
 from PIL import Image
 
@@ -10,6 +11,15 @@ from PIL import Image
 LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
 
 
+def erode_or_dilate(x, k):
+    k = int(k)
+    if k > 0:
+        return cv2.dilate(x, kernel=np.ones(shape=(3, 3), dtype=np.uint8), iterations=k)
+    if k < 0:
+        return cv2.erode(x, kernel=np.ones(shape=(3, 3), dtype=np.uint8), iterations=-k)
+    return x
+
+
 def resample_image(im, width, height):
     im = Image.fromarray(im)
     im = im.resize((int(width), int(height)), resample=LANCZOS)
diff --git a/update_log.md b/update_log.md
index 66176145..e9a829be 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,5 +1,9 @@
 **(2023 Dec 21) Hi all, the feature updating of Fooocus will be paused for about two or three weeks because we have some other workloads. See you soon and we will come back in mid or late Jan. However, you may still see updates if other collaborators are fixing bugs or solving problems.**
 
+# 2.1.860 (requested update)
+
+* Allow upload inpaint mask in developer mode.
+
 # 2.1.857 (requested update)
 
 * Begin to support 8GB AMD GPU on Windows.
diff --git a/webui.py b/webui.py
index f7b09f27..581e3101 100644
--- a/webui.py
+++ b/webui.py
@@ -186,28 +186,15 @@ with shared.gradio_root:
                                            outputs=ip_ad_cols + ip_types + ip_stops + ip_weights,
                                            queue=False, show_progress=False)
                     with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab:
-                        # xhoxye1
-                        #inpaint_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas')
-
                         with gr.Row():
                             inpaint_input_image = grh.Image(label='Drag inpaint or outpaint image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas')
-                                
-                            inpaint_mask_image = grh.Image(label='Drag inpaint mask image to here', source='upload', type='numpy', height=500,visible=False)                              
-                        # xhoxye1
-                                
+                            inpaint_mask_image = grh.Image(label='Mask Upload', source='upload', type='numpy', height=500, visible=False)
+
                         with gr.Row():
                             inpaint_additional_prompt = gr.Textbox(placeholder="Describe what you want to inpaint.", elem_id='inpaint_additional_prompt', label='Inpaint Additional Prompt', visible=False)
                             outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint Direction')
                             inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.flags.inpaint_option_default, label='Method')
                         example_inpaint_prompts = gr.Dataset(samples=modules.config.example_inpaint_prompts, label='Additional Prompt Quick List', components=[inpaint_additional_prompt], visible=False)
-                        
-                        # xhoxye2
-                        with gr.TabItem(label='Inpaint advanced') as inpaint_advanced:
-                            inpaint_mask_image_checkbox = gr.Checkbox(label='Enable upload mask', value=False, container=False)
-                            inpaint_mask_image_checkbox.change(lambda x: gr.update(visible=x), inputs=inpaint_mask_image_checkbox, outputs=inpaint_mask_image, queue=False)  
-                            invert_mask_checkbox = gr.Checkbox(label='Invert hand-drawn mask', value=False, container=False)                       
-                        # xhoxye2
-                        
                         gr.HTML('* Powered by Fooocus Inpaint Engine <a href="https://github.com/lllyasviel/Fooocus/discussions/414" target="_blank">\U0001F4D4 Document</a>')
                         example_inpaint_prompts.click(lambda x: x[0], inputs=example_inpaint_prompts, outputs=inpaint_additional_prompt, show_progress=False, queue=False)
                     with gr.TabItem(label='Describe') as desc_tab:
@@ -435,7 +422,21 @@ with shared.gradio_root:
                                                                   'Value 1 is same as "Whole Image" in A1111. '
                                                                   'Only used in inpaint, not used in outpaint. '
                                                                   '(Outpaint always use 1.0)')
-                        inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field]
+                        inpaint_erode_or_dilate = gr.Slider(label='Mask Erode or Dilate',
+                                                            minimum=-64, maximum=64, step=1, value=0,
+                                                            info='Positive value will make white area in the mask larger, '
+                                                                 'negative value will make white area smaller.'
+                                                                 '(default is 0, always process before any mask invert)')
+                        inpaint_mask_upload_checkbox = gr.Checkbox(label='Enable Mask Upload', value=False)
+                        invert_mask_checkbox = gr.Checkbox(label='Invert Mask', value=False)
+                        
+                        inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine,
+                                         inpaint_strength, inpaint_respective_field,
+                                         inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate]
+
+                        inpaint_mask_upload_checkbox.change(lambda x: gr.update(visible=x),
+                                                           inputs=inpaint_mask_upload_checkbox,
+                                                           outputs=inpaint_mask_image, queue=False, show_progress=False)
 
                     with gr.Tab(label='FreeU'):
                         freeu_enabled = gr.Checkbox(label='Enabled', value=False)
@@ -526,10 +527,7 @@ with shared.gradio_root:
         ctrls += [base_model, refiner_model, refiner_switch] + lora_ctrls
         ctrls += [input_image_checkbox, current_tab]
         ctrls += [uov_method, uov_input_image]
-        # xhoxye3
-        #ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt]
-        ctrls += [outpaint_selections, inpaint_input_image, inpaint_mask_image, inpaint_mask_image_checkbox, invert_mask_checkbox, inpaint_additional_prompt]
-        # xhoxye3
+        ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
         ctrls += ip_ctrls
 
         state_is_generating = gr.State(False)

From 176faf6f347b90866afe676fc9fb2c2d74587d7b Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 4 Jan 2024 14:46:17 +0100
Subject: [PATCH 012/180] fixes
 https://github.com/lllyasviel/Fooocus/issues/1747 (#1750)

---
 readme.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/readme.md b/readme.md
index 5fd1baa7..87c44b83 100644
--- a/readme.md
+++ b/readme.md
@@ -217,7 +217,7 @@ Then run the `run.bat`.
 
 AMD is not intensively tested, however. The AMD support is in beta.
 
-For AMD, use `python entry_with_update.py --directml --preset anime` or `python entry_with_update.py --directml --preset realistic` for Fooocus Anime/Realistic Edition.
+For AMD, use `.\python_embeded\python.exe entry_with_update.py --directml --preset anime` or `.\python_embeded\python.exe entry_with_update.py --directml --preset realistic` for Fooocus Anime/Realistic Edition.
 
 ### Mac
 

From f298ebca76054ccaeb3030e5ff0544956ed5ad9f Mon Sep 17 00:00:00 2001
From: Chris Rohrer <crohrer@users.noreply.github.com>
Date: Mon, 8 Jan 2024 00:10:42 +0100
Subject: [PATCH 013/180] feat: adds preview overlay for styles (#1762)

* feat: adds preview overlay for styles

* fix: implement correct path resolution for all OS

solves issues for Windows

* fix: makes preview overlay also work with other languages

* feat: scale down images to 258x200, fix aspect ratio in css

reduces file size from 19,6MB to 3,4MB

* fix: adjust z-index to correctly overlay gradio border pulse when generating images

* update files

* version

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
Co-authored-by: lllyasviel <lyuminzhang@outlook.com>
---
 css/style.css                                 |  15 ++++++++
 fooocus_version.py                            |   2 +-
 javascript/localization.js                    |   3 ++
 javascript/script.js                          |  34 ++++++++++++++++++
 modules/ui_gradio_extensions.py               |   2 ++
 sdxl_styles/samples/Academia.jpg              | Bin 0 -> 29098 bytes
 sdxl_styles/samples/Baroque.jpg               | Bin 0 -> 33789 bytes
 sdxl_styles/samples/Caricature.jpg            | Bin 0 -> 25523 bytes
 sdxl_styles/samples/Constructivism.jpg        | Bin 0 -> 18820 bytes
 sdxl_styles/samples/Cubism.jpg                | Bin 0 -> 31588 bytes
 sdxl_styles/samples/Dadaism.jpg               | Bin 0 -> 29820 bytes
 sdxl_styles/samples/Expressionism.jpg         | Bin 0 -> 36184 bytes
 sdxl_styles/samples/Fauvism.jpg               | Bin 0 -> 39229 bytes
 sdxl_styles/samples/Futurism.jpg              | Bin 0 -> 33946 bytes
 sdxl_styles/samples/Glitchcore.jpg            | Bin 0 -> 34579 bytes
 sdxl_styles/samples/Idyllic.jpg               | Bin 0 -> 24524 bytes
 sdxl_styles/samples/Impressionism.jpg         | Bin 0 -> 32614 bytes
 sdxl_styles/samples/Medievalism.jpg           | Bin 0 -> 46579 bytes
 sdxl_styles/samples/Minimalism.jpg            | Bin 0 -> 17664 bytes
 sdxl_styles/samples/Neoclassicism.jpg         | Bin 0 -> 33394 bytes
 sdxl_styles/samples/Rococo.jpg                | Bin 0 -> 37900 bytes
 sdxl_styles/samples/Sketchup.jpg              | Bin 0 -> 13847 bytes
 sdxl_styles/samples/Suprematism.jpg           | Bin 0 -> 21291 bytes
 sdxl_styles/samples/Surrealism.jpg            | Bin 0 -> 24047 bytes
 sdxl_styles/samples/Terragen.jpg              | Bin 0 -> 27343 bytes
 .../samples/abstract_expressionism.jpg        | Bin 0 -> 30109 bytes
 sdxl_styles/samples/action_figure.jpg         | Bin 0 -> 19890 bytes
 sdxl_styles/samples/adorable_3d_character.jpg | Bin 0 -> 20179 bytes
 sdxl_styles/samples/adorable_kawaii.jpg       | Bin 0 -> 24606 bytes
 sdxl_styles/samples/ads_advertising.jpg       | Bin 0 -> 22363 bytes
 sdxl_styles/samples/ads_automotive.jpg        | Bin 0 -> 17314 bytes
 sdxl_styles/samples/ads_corporate.jpg         | Bin 0 -> 12076 bytes
 sdxl_styles/samples/ads_fashion_editorial.jpg | Bin 0 -> 20181 bytes
 sdxl_styles/samples/ads_food_photography.jpg  | Bin 0 -> 21856 bytes
 .../samples/ads_gourmet_food_photography.jpg  | Bin 0 -> 29371 bytes
 sdxl_styles/samples/ads_luxury.jpg            | Bin 0 -> 19954 bytes
 sdxl_styles/samples/ads_real_estate.jpg       | Bin 0 -> 22476 bytes
 sdxl_styles/samples/ads_retail.jpg            | Bin 0 -> 26148 bytes
 sdxl_styles/samples/art_deco.jpg              | Bin 0 -> 30234 bytes
 sdxl_styles/samples/art_nouveau.jpg           | Bin 0 -> 36642 bytes
 sdxl_styles/samples/artstyle_abstract.jpg     | Bin 0 -> 39894 bytes
 .../artstyle_abstract_expressionism.jpg       | Bin 0 -> 43068 bytes
 sdxl_styles/samples/artstyle_art_deco.jpg     | Bin 0 -> 46954 bytes
 sdxl_styles/samples/artstyle_art_nouveau.jpg  | Bin 0 -> 41408 bytes
 .../samples/artstyle_constructivist.jpg       | Bin 0 -> 29065 bytes
 sdxl_styles/samples/artstyle_cubist.jpg       | Bin 0 -> 23538 bytes
 .../samples/artstyle_expressionist.jpg        | Bin 0 -> 43406 bytes
 sdxl_styles/samples/artstyle_graffiti.jpg     | Bin 0 -> 39353 bytes
 sdxl_styles/samples/artstyle_hyperrealism.jpg | Bin 0 -> 23905 bytes
 .../samples/artstyle_impressionist.jpg        | Bin 0 -> 30077 bytes
 sdxl_styles/samples/artstyle_pointillism.jpg  | Bin 0 -> 39952 bytes
 sdxl_styles/samples/artstyle_pop_art.jpg      | Bin 0 -> 37929 bytes
 sdxl_styles/samples/artstyle_psychedelic.jpg  | Bin 0 -> 47578 bytes
 sdxl_styles/samples/artstyle_renaissance.jpg  | Bin 0 -> 25526 bytes
 sdxl_styles/samples/artstyle_steampunk.jpg    | Bin 0 -> 25161 bytes
 sdxl_styles/samples/artstyle_surrealist.jpg   | Bin 0 -> 26451 bytes
 sdxl_styles/samples/artstyle_typography.jpg   | Bin 0 -> 28071 bytes
 sdxl_styles/samples/artstyle_watercolor.jpg   | Bin 0 -> 33534 bytes
 sdxl_styles/samples/astral_aura.jpg           | Bin 0 -> 32543 bytes
 sdxl_styles/samples/avant_garde.jpg           | Bin 0 -> 18204 bytes
 sdxl_styles/samples/bauhaus_style_poster.jpg  | Bin 0 -> 24066 bytes
 .../samples/blueprint_schematic_drawing.jpg   | Bin 0 -> 17659 bytes
 sdxl_styles/samples/cel_shaded_art.jpg        | Bin 0 -> 21970 bytes
 .../samples/character_design_sheet.jpg        | Bin 0 -> 30771 bytes
 sdxl_styles/samples/cinematic_diva.jpg        | Bin 0 -> 27446 bytes
 sdxl_styles/samples/classicism_art.jpg        | Bin 0 -> 26754 bytes
 sdxl_styles/samples/color_field_painting.jpg  | Bin 0 -> 25350 bytes
 sdxl_styles/samples/colored_pencil_art.jpg    | Bin 0 -> 28864 bytes
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 create mode 100644 sdxl_styles/samples/misc_kawaii.jpg
 create mode 100644 sdxl_styles/samples/misc_lovecraftian.jpg
 create mode 100644 sdxl_styles/samples/misc_macabre.jpg
 create mode 100644 sdxl_styles/samples/misc_manga.jpg
 create mode 100644 sdxl_styles/samples/misc_metropolis.jpg
 create mode 100644 sdxl_styles/samples/misc_minimalist.jpg
 create mode 100644 sdxl_styles/samples/misc_monochrome.jpg
 create mode 100644 sdxl_styles/samples/misc_nautical.jpg
 create mode 100644 sdxl_styles/samples/misc_space.jpg
 create mode 100644 sdxl_styles/samples/misc_stained_glass.jpg
 create mode 100644 sdxl_styles/samples/misc_techwear_fashion.jpg
 create mode 100644 sdxl_styles/samples/misc_tribal.jpg
 create mode 100644 sdxl_styles/samples/misc_zentangle.jpg
 create mode 100644 sdxl_styles/samples/mk_adnate_style.jpg
 create mode 100644 sdxl_styles/samples/mk_afrofuturism.jpg
 create mode 100644 sdxl_styles/samples/mk_albumen_print.jpg
 create mode 100644 sdxl_styles/samples/mk_alcohol_ink_art.jpg
 create mode 100644 sdxl_styles/samples/mk_andy_warhol.jpg
 create mode 100644 sdxl_styles/samples/mk_anthotype_print.jpg
 create mode 100644 sdxl_styles/samples/mk_aquatint_print.jpg
 create mode 100644 sdxl_styles/samples/mk_atompunk.jpg
 create mode 100644 sdxl_styles/samples/mk_basquiat.jpg
 create mode 100644 sdxl_styles/samples/mk_bauhaus_style.jpg
 create mode 100644 sdxl_styles/samples/mk_blacklight_paint.jpg
 create mode 100644 sdxl_styles/samples/mk_bromoil_print.jpg
 create mode 100644 sdxl_styles/samples/mk_calotype_print.jpg
 create mode 100644 sdxl_styles/samples/mk_carnival_glass.jpg
 create mode 100644 sdxl_styles/samples/mk_chicano_art.jpg
 create mode 100644 sdxl_styles/samples/mk_chromolithography.jpg
 create mode 100644 sdxl_styles/samples/mk_cibulak_porcelain.jpg
 create mode 100644 sdxl_styles/samples/mk_color_sketchnote.jpg
 create mode 100644 sdxl_styles/samples/mk_coloring_book.jpg
 create mode 100644 sdxl_styles/samples/mk_constructivism.jpg
 create mode 100644 sdxl_styles/samples/mk_cross_processing_print.jpg
 create mode 100644 sdxl_styles/samples/mk_cross_stitching.jpg
 create mode 100644 sdxl_styles/samples/mk_cyanotype_print.jpg
 create mode 100644 sdxl_styles/samples/mk_dayak_art.jpg
 create mode 100644 sdxl_styles/samples/mk_de_stijl.jpg
 create mode 100644 sdxl_styles/samples/mk_dufaycolor_photograph.jpg
 create mode 100644 sdxl_styles/samples/mk_embroidery.jpg
 create mode 100644 sdxl_styles/samples/mk_encaustic_paint.jpg
 create mode 100644 sdxl_styles/samples/mk_fayum_portrait.jpg
 create mode 100644 sdxl_styles/samples/mk_gond_painting.jpg
 create mode 100644 sdxl_styles/samples/mk_gyotaku.jpg
 create mode 100644 sdxl_styles/samples/mk_halftone_print.jpg
 create mode 100644 sdxl_styles/samples/mk_herbarium.jpg
 create mode 100644 sdxl_styles/samples/mk_illuminated_manuscript.jpg
 create mode 100644 sdxl_styles/samples/mk_inuit_carving.jpg
 create mode 100644 sdxl_styles/samples/mk_kalighat_painting.jpg
 create mode 100644 sdxl_styles/samples/mk_lite_brite_art.jpg
 create mode 100644 sdxl_styles/samples/mk_luminogram.jpg
 create mode 100644 sdxl_styles/samples/mk_madhubani_painting.jpg
 create mode 100644 sdxl_styles/samples/mk_mokume_gane.jpg
 create mode 100644 sdxl_styles/samples/mk_mosaic.jpg
 create mode 100644 sdxl_styles/samples/mk_one_line_art.jpg
 create mode 100644 sdxl_styles/samples/mk_palekh.jpg
 create mode 100644 sdxl_styles/samples/mk_patachitra_painting.jpg
 create mode 100644 sdxl_styles/samples/mk_pichwai_painting.jpg
 create mode 100644 sdxl_styles/samples/mk_pictorialism.jpg
 create mode 100644 sdxl_styles/samples/mk_pollock.jpg
 create mode 100644 sdxl_styles/samples/mk_punk_collage.jpg
 create mode 100644 sdxl_styles/samples/mk_ron_english_style.jpg
 create mode 100644 sdxl_styles/samples/mk_samoan_art_inspired.jpg
 create mode 100644 sdxl_styles/samples/mk_scrimshaw.jpg
 create mode 100644 sdxl_styles/samples/mk_shepard_fairey_style.jpg
 create mode 100644 sdxl_styles/samples/mk_shibori.jpg
 create mode 100644 sdxl_styles/samples/mk_singer_sargent.jpg
 create mode 100644 sdxl_styles/samples/mk_suminagashi.jpg
 create mode 100644 sdxl_styles/samples/mk_tlingit_art.jpg
 create mode 100644 sdxl_styles/samples/mk_ukiyo_e.jpg
 create mode 100644 sdxl_styles/samples/mk_van_gogh.jpg
 create mode 100644 sdxl_styles/samples/mk_vintage_airline_poster.jpg
 create mode 100644 sdxl_styles/samples/mk_vintage_travel_poster.jpg
 create mode 100644 sdxl_styles/samples/mk_vitreous_enamel.jpg
 create mode 100644 sdxl_styles/samples/mre_ancient_illustration.jpg
 create mode 100644 sdxl_styles/samples/mre_anime.jpg
 create mode 100644 sdxl_styles/samples/mre_artistic_vision.jpg
 create mode 100644 sdxl_styles/samples/mre_bad_dream.jpg
 create mode 100644 sdxl_styles/samples/mre_brave_art.jpg
 create mode 100644 sdxl_styles/samples/mre_cinematic_dynamic.jpg
 create mode 100644 sdxl_styles/samples/mre_comic.jpg
 create mode 100644 sdxl_styles/samples/mre_dark_cyberpunk.jpg
 create mode 100644 sdxl_styles/samples/mre_dark_dream.jpg
 create mode 100644 sdxl_styles/samples/mre_dynamic_illustration.jpg
 create mode 100644 sdxl_styles/samples/mre_elemental_art.jpg
 create mode 100644 sdxl_styles/samples/mre_gloomy_art.jpg
 create mode 100644 sdxl_styles/samples/mre_heroic_fantasy.jpg
 create mode 100644 sdxl_styles/samples/mre_lyrical_geometry.jpg
 create mode 100644 sdxl_styles/samples/mre_manga.jpg
 create mode 100644 sdxl_styles/samples/mre_space_art.jpg
 create mode 100644 sdxl_styles/samples/mre_spontaneous_picture.jpg
 create mode 100644 sdxl_styles/samples/mre_sumi_e_detailed.jpg
 create mode 100644 sdxl_styles/samples/mre_sumi_e_symbolic.jpg
 create mode 100644 sdxl_styles/samples/mre_surreal_painting.jpg
 create mode 100644 sdxl_styles/samples/mre_undead_art.jpg
 create mode 100644 sdxl_styles/samples/mre_underground.jpg
 create mode 100644 sdxl_styles/samples/neo_baroque.jpg
 create mode 100644 sdxl_styles/samples/neo_byzantine.jpg
 create mode 100644 sdxl_styles/samples/neo_futurism.jpg
 create mode 100644 sdxl_styles/samples/neo_impressionism.jpg
 create mode 100644 sdxl_styles/samples/neo_rococo.jpg
 create mode 100644 sdxl_styles/samples/op_art.jpg
 create mode 100644 sdxl_styles/samples/ornate_and_intricate.jpg
 create mode 100644 sdxl_styles/samples/papercraft_collage.jpg
 create mode 100644 sdxl_styles/samples/papercraft_flat_papercut.jpg
 create mode 100644 sdxl_styles/samples/papercraft_kirigami.jpg
 create mode 100644 sdxl_styles/samples/papercraft_paper_mache.jpg
 create mode 100644 sdxl_styles/samples/papercraft_paper_quilling.jpg
 create mode 100644 sdxl_styles/samples/papercraft_papercut_collage.jpg
 create mode 100644 sdxl_styles/samples/papercraft_papercut_shadow_box.jpg
 create mode 100644 sdxl_styles/samples/papercraft_stacked_papercut.jpg
 create mode 100644 sdxl_styles/samples/papercraft_thick_layered_papercut.jpg
 create mode 100644 sdxl_styles/samples/pebble_art.jpg
 create mode 100644 sdxl_styles/samples/pencil_sketch_drawing.jpg
 create mode 100644 sdxl_styles/samples/photo_alien.jpg
 create mode 100644 sdxl_styles/samples/photo_film_noir.jpg
 create mode 100644 sdxl_styles/samples/photo_glamour.jpg
 create mode 100644 sdxl_styles/samples/photo_hdr.jpg
 create mode 100644 sdxl_styles/samples/photo_iphone_photographic.jpg
 create mode 100644 sdxl_styles/samples/photo_long_exposure.jpg
 create mode 100644 sdxl_styles/samples/photo_neon_noir.jpg
 create mode 100644 sdxl_styles/samples/photo_silhouette.jpg
 create mode 100644 sdxl_styles/samples/photo_tilt_shift.jpg
 create mode 100644 sdxl_styles/samples/pop_art_2.jpg
 create mode 100644 sdxl_styles/samples/sai_3d_model.jpg
 create mode 100644 sdxl_styles/samples/sai_analog_film.jpg
 create mode 100644 sdxl_styles/samples/sai_anime.jpg
 create mode 100644 sdxl_styles/samples/sai_cinematic.jpg
 create mode 100644 sdxl_styles/samples/sai_comic_book.jpg
 create mode 100644 sdxl_styles/samples/sai_craft_clay.jpg
 create mode 100644 sdxl_styles/samples/sai_digital_art.jpg
 create mode 100644 sdxl_styles/samples/sai_enhance.jpg
 create mode 100644 sdxl_styles/samples/sai_fantasy_art.jpg
 create mode 100644 sdxl_styles/samples/sai_isometric.jpg
 create mode 100644 sdxl_styles/samples/sai_line_art.jpg
 create mode 100644 sdxl_styles/samples/sai_lowpoly.jpg
 create mode 100644 sdxl_styles/samples/sai_neonpunk.jpg
 create mode 100644 sdxl_styles/samples/sai_origami.jpg
 create mode 100644 sdxl_styles/samples/sai_photographic.jpg
 create mode 100644 sdxl_styles/samples/sai_pixel_art.jpg
 create mode 100644 sdxl_styles/samples/sai_texture.jpg
 create mode 100644 sdxl_styles/samples/silhouette_art.jpg
 create mode 100644 sdxl_styles/samples/simple_vector_art.jpg
 create mode 100644 sdxl_styles/samples/steampunk_2.jpg
 create mode 100644 sdxl_styles/samples/sticker_designs.jpg
 create mode 100644 sdxl_styles/samples/tranquil_relaxing_atmosphere.jpg
 create mode 100644 sdxl_styles/samples/vibrant_rim_light.jpg
 create mode 100644 sdxl_styles/samples/volumetric_lighting.jpg
 create mode 100644 sdxl_styles/samples/watercolor_2.jpg
 create mode 100644 sdxl_styles/samples/whimsical_and_playful.jpg

diff --git a/css/style.css b/css/style.css
index b87b20a7..6ebfd432 100644
--- a/css/style.css
+++ b/css/style.css
@@ -196,3 +196,18 @@
     pointer-events: none;
     display: none;
 }
+
+#stylePreviewOverlay {
+    display: none;
+    width: 128px;
+    height: 128px;
+    position: fixed;
+    top: 0px;
+    left: 0px;
+    border: solid 1px lightgrey;
+    transform: translate(-140px, 20px);
+    background-size: cover;
+    background-position: center;
+    border-radius: 5px;
+    z-index: 100;
+}
diff --git a/fooocus_version.py b/fooocus_version.py
index 482cc12c..f66fe765 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.860'
+version = '2.1.861'
diff --git a/javascript/localization.js b/javascript/localization.js
index 8fda68e2..0a8394ca 100644
--- a/javascript/localization.js
+++ b/javascript/localization.js
@@ -45,6 +45,9 @@ function processTextNode(node) {
     var tl = getTranslation(text);
     if (tl !== undefined) {
         node.textContent = tl;
+        if (text && node.parentElement) {
+          node.parentElement.setAttribute("data-original-text", text);
+        }
     }
 }
 
diff --git a/javascript/script.js b/javascript/script.js
index 593d8c36..7c540b38 100644
--- a/javascript/script.js
+++ b/javascript/script.js
@@ -119,6 +119,7 @@ document.addEventListener("DOMContentLoaded", function() {
         }
     });
     mutationObserver.observe(gradioApp(), {childList: true, subtree: true});
+    initStylePreviewOverlay();
 });
 
 /**
@@ -145,6 +146,39 @@ document.addEventListener('keydown', function(e) {
     }
 });
 
+function initStylePreviewOverlay() {
+    let overlayVisible = false;
+    const samplesPath = document.querySelector("meta[name='samples-path']").getAttribute("content")
+    const overlay = document.createElement('div');
+    overlay.id = 'stylePreviewOverlay';
+    document.body.appendChild(overlay);
+    document.addEventListener('mouseover', function(e) {
+        const label = e.target.closest('.style_selections label');
+        if (!label) return;
+        label.removeEventListener("mouseout", onMouseLeave);
+        label.addEventListener("mouseout", onMouseLeave);
+        overlayVisible = true;
+        overlay.style.display = "block";
+        const originalText = label.querySelector("span").getAttribute("data-original-text");
+        const name = originalText || label.querySelector("span").textContent;
+        overlay.style.backgroundImage = `url("${samplesPath.replace(
+          "fooocus_v2",
+          name.toLowerCase().replaceAll(" ", "_")
+        )}")`;
+        function onMouseLeave() {
+            overlayVisible = false;
+            overlay.style.display = "none";
+            overlay.style.backgroundImage = "";
+            label.removeEventListener("mouseout", onMouseLeave);
+        }
+    });
+    document.addEventListener('mousemove', function(e) {
+        if(!overlayVisible) return;
+        overlay.style.left = `${e.clientX}px`;
+        overlay.style.top = `${e.clientY}px`;
+    });
+}
+
 /**
  * checks that a UI element is not in another hidden element or tab content
  */
diff --git a/modules/ui_gradio_extensions.py b/modules/ui_gradio_extensions.py
index e59b151b..bebf9f8c 100644
--- a/modules/ui_gradio_extensions.py
+++ b/modules/ui_gradio_extensions.py
@@ -30,6 +30,7 @@ def javascript_html():
     edit_attention_js_path = webpath('javascript/edit-attention.js')
     viewer_js_path = webpath('javascript/viewer.js')
     image_viewer_js_path = webpath('javascript/imageviewer.js')
+    samples_path = webpath(os.path.abspath('./sdxl_styles/samples/fooocus_v2.jpg'))
     head = f'<script type="text/javascript">{localization_js(args_manager.args.language)}</script>\n'
     head += f'<script type="text/javascript" src="{script_js_path}"></script>\n'
     head += f'<script type="text/javascript" src="{context_menus_js_path}"></script>\n'
@@ -38,6 +39,7 @@ def javascript_html():
     head += f'<script type="text/javascript" src="{edit_attention_js_path}"></script>\n'
     head += f'<script type="text/javascript" src="{viewer_js_path}"></script>\n'
     head += f'<script type="text/javascript" src="{image_viewer_js_path}"></script>\n'
+    head += f'<meta name="samples-path" content="{samples_path}"></meta>\n'
 
     if args_manager.args.theme:
         head += f'<script type="text/javascript">set_theme(\"{args_manager.args.theme}\");</script>\n'
diff --git a/sdxl_styles/samples/Academia.jpg b/sdxl_styles/samples/Academia.jpg
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diff --git a/sdxl_styles/samples/mre_lyrical_geometry.jpg b/sdxl_styles/samples/mre_lyrical_geometry.jpg
new file mode 100644
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diff --git a/sdxl_styles/samples/pop_art_2.jpg b/sdxl_styles/samples/pop_art_2.jpg
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/update_log.md b/update_log.md
index e9a829be..1e8914d1 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,5 +1,9 @@
 **(2023 Dec 21) Hi all, the feature updating of Fooocus will be paused for about two or three weeks because we have some other workloads. See you soon and we will come back in mid or late Jan. However, you may still see updates if other collaborators are fixing bugs or solving problems.**
 
+# 2.1.861 (requested update)
+
+* Show image preview in Style when mouse hover.
+
 # 2.1.860 (requested update)
 
 * Allow upload inpaint mask in developer mode.

From 888cc0840503b2fc49e274bf19431c03064db2fe Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Mon, 8 Jan 2024 10:41:02 -0800
Subject: [PATCH 014/180] fix #1807 (#1814)

---
 javascript/script.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/javascript/script.js b/javascript/script.js
index 7c540b38..d3d16ffb 100644
--- a/javascript/script.js
+++ b/javascript/script.js
@@ -164,7 +164,7 @@ function initStylePreviewOverlay() {
         overlay.style.backgroundImage = `url("${samplesPath.replace(
           "fooocus_v2",
           name.toLowerCase().replaceAll(" ", "_")
-        )}")`;
+        ).replaceAll("\\", "\\\\")}")`;
         function onMouseLeave() {
             overlayVisible = false;
             overlay.style.display = "none";

From c48d6e7404a0a1e05722daccfafbde85c83f47c5 Mon Sep 17 00:00:00 2001
From: cocktailpeanut <121128867+cocktailpeanut@users.noreply.github.com>
Date: Mon, 8 Jan 2024 10:46:12 -0800
Subject: [PATCH 015/180] fix --disable-in-browser (#1718)

---
 args_manager.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/args_manager.py b/args_manager.py
index d063a5e1..e5e76753 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -34,5 +34,7 @@ args_parser.args.always_offload_from_vram = not args_parser.args.disable_offload
 if args_parser.args.disable_analytics:
     import os
     os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
+if args_parser.args.disable_in_browser:
+    args_parser.args.in_browser = False
 
 args = args_parser.args

From fee997d929f484fd45cfcb5c9c609c2d0e9faa6d Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Mon, 8 Jan 2024 16:55:36 -0800
Subject: [PATCH 016/180] git is now case sensitive (#1820)

---
 sdxl_styles/samples/{Academia.jpg => academia.jpg}  | Bin
 sdxl_styles/samples/{Baroque.jpg => baroque.jpg}    | Bin
 .../samples/{Caricature.jpg => caricature.jpg}      | Bin
 .../{Constructivism.jpg => constructivism.jpg}      | Bin
 sdxl_styles/samples/{Cubism.jpg => cubism.jpg}      | Bin
 sdxl_styles/samples/{Dadaism.jpg => dadaism.jpg}    | Bin
 .../{Expressionism.jpg => expressionism.jpg}        | Bin
 sdxl_styles/samples/{Fauvism.jpg => fauvism.jpg}    | Bin
 sdxl_styles/samples/{Futurism.jpg => futurism.jpg}  | Bin
 .../samples/{Glitchcore.jpg => glitchcore.jpg}      | Bin
 sdxl_styles/samples/{Idyllic.jpg => idyllic.jpg}    | Bin
 .../{Impressionism.jpg => impressionism.jpg}        | Bin
 .../samples/{Medievalism.jpg => medievalism.jpg}    | Bin
 .../samples/{Minimalism.jpg => minimalism.jpg}      | Bin
 .../{Neoclassicism.jpg => neoclassicism.jpg}        | Bin
 sdxl_styles/samples/{Rococo.jpg => rococo.jpg}      | Bin
 sdxl_styles/samples/{Sketchup.jpg => sketchup.jpg}  | Bin
 .../samples/{Suprematism.jpg => suprematism.jpg}    | Bin
 .../samples/{Surrealism.jpg => surrealism.jpg}      | Bin
 sdxl_styles/samples/{Terragen.jpg => terragen.jpg}  | Bin
 20 files changed, 0 insertions(+), 0 deletions(-)
 rename sdxl_styles/samples/{Academia.jpg => academia.jpg} (100%)
 rename sdxl_styles/samples/{Baroque.jpg => baroque.jpg} (100%)
 rename sdxl_styles/samples/{Caricature.jpg => caricature.jpg} (100%)
 rename sdxl_styles/samples/{Constructivism.jpg => constructivism.jpg} (100%)
 rename sdxl_styles/samples/{Cubism.jpg => cubism.jpg} (100%)
 rename sdxl_styles/samples/{Dadaism.jpg => dadaism.jpg} (100%)
 rename sdxl_styles/samples/{Expressionism.jpg => expressionism.jpg} (100%)
 rename sdxl_styles/samples/{Fauvism.jpg => fauvism.jpg} (100%)
 rename sdxl_styles/samples/{Futurism.jpg => futurism.jpg} (100%)
 rename sdxl_styles/samples/{Glitchcore.jpg => glitchcore.jpg} (100%)
 rename sdxl_styles/samples/{Idyllic.jpg => idyllic.jpg} (100%)
 rename sdxl_styles/samples/{Impressionism.jpg => impressionism.jpg} (100%)
 rename sdxl_styles/samples/{Medievalism.jpg => medievalism.jpg} (100%)
 rename sdxl_styles/samples/{Minimalism.jpg => minimalism.jpg} (100%)
 rename sdxl_styles/samples/{Neoclassicism.jpg => neoclassicism.jpg} (100%)
 rename sdxl_styles/samples/{Rococo.jpg => rococo.jpg} (100%)
 rename sdxl_styles/samples/{Sketchup.jpg => sketchup.jpg} (100%)
 rename sdxl_styles/samples/{Suprematism.jpg => suprematism.jpg} (100%)
 rename sdxl_styles/samples/{Surrealism.jpg => surrealism.jpg} (100%)
 rename sdxl_styles/samples/{Terragen.jpg => terragen.jpg} (100%)

diff --git a/sdxl_styles/samples/Academia.jpg b/sdxl_styles/samples/academia.jpg
similarity index 100%
rename from sdxl_styles/samples/Academia.jpg
rename to sdxl_styles/samples/academia.jpg
diff --git a/sdxl_styles/samples/Baroque.jpg b/sdxl_styles/samples/baroque.jpg
similarity index 100%
rename from sdxl_styles/samples/Baroque.jpg
rename to sdxl_styles/samples/baroque.jpg
diff --git a/sdxl_styles/samples/Caricature.jpg b/sdxl_styles/samples/caricature.jpg
similarity index 100%
rename from sdxl_styles/samples/Caricature.jpg
rename to sdxl_styles/samples/caricature.jpg
diff --git a/sdxl_styles/samples/Constructivism.jpg b/sdxl_styles/samples/constructivism.jpg
similarity index 100%
rename from sdxl_styles/samples/Constructivism.jpg
rename to sdxl_styles/samples/constructivism.jpg
diff --git a/sdxl_styles/samples/Cubism.jpg b/sdxl_styles/samples/cubism.jpg
similarity index 100%
rename from sdxl_styles/samples/Cubism.jpg
rename to sdxl_styles/samples/cubism.jpg
diff --git a/sdxl_styles/samples/Dadaism.jpg b/sdxl_styles/samples/dadaism.jpg
similarity index 100%
rename from sdxl_styles/samples/Dadaism.jpg
rename to sdxl_styles/samples/dadaism.jpg
diff --git a/sdxl_styles/samples/Expressionism.jpg b/sdxl_styles/samples/expressionism.jpg
similarity index 100%
rename from sdxl_styles/samples/Expressionism.jpg
rename to sdxl_styles/samples/expressionism.jpg
diff --git a/sdxl_styles/samples/Fauvism.jpg b/sdxl_styles/samples/fauvism.jpg
similarity index 100%
rename from sdxl_styles/samples/Fauvism.jpg
rename to sdxl_styles/samples/fauvism.jpg
diff --git a/sdxl_styles/samples/Futurism.jpg b/sdxl_styles/samples/futurism.jpg
similarity index 100%
rename from sdxl_styles/samples/Futurism.jpg
rename to sdxl_styles/samples/futurism.jpg
diff --git a/sdxl_styles/samples/Glitchcore.jpg b/sdxl_styles/samples/glitchcore.jpg
similarity index 100%
rename from sdxl_styles/samples/Glitchcore.jpg
rename to sdxl_styles/samples/glitchcore.jpg
diff --git a/sdxl_styles/samples/Idyllic.jpg b/sdxl_styles/samples/idyllic.jpg
similarity index 100%
rename from sdxl_styles/samples/Idyllic.jpg
rename to sdxl_styles/samples/idyllic.jpg
diff --git a/sdxl_styles/samples/Impressionism.jpg b/sdxl_styles/samples/impressionism.jpg
similarity index 100%
rename from sdxl_styles/samples/Impressionism.jpg
rename to sdxl_styles/samples/impressionism.jpg
diff --git a/sdxl_styles/samples/Medievalism.jpg b/sdxl_styles/samples/medievalism.jpg
similarity index 100%
rename from sdxl_styles/samples/Medievalism.jpg
rename to sdxl_styles/samples/medievalism.jpg
diff --git a/sdxl_styles/samples/Minimalism.jpg b/sdxl_styles/samples/minimalism.jpg
similarity index 100%
rename from sdxl_styles/samples/Minimalism.jpg
rename to sdxl_styles/samples/minimalism.jpg
diff --git a/sdxl_styles/samples/Neoclassicism.jpg b/sdxl_styles/samples/neoclassicism.jpg
similarity index 100%
rename from sdxl_styles/samples/Neoclassicism.jpg
rename to sdxl_styles/samples/neoclassicism.jpg
diff --git a/sdxl_styles/samples/Rococo.jpg b/sdxl_styles/samples/rococo.jpg
similarity index 100%
rename from sdxl_styles/samples/Rococo.jpg
rename to sdxl_styles/samples/rococo.jpg
diff --git a/sdxl_styles/samples/Sketchup.jpg b/sdxl_styles/samples/sketchup.jpg
similarity index 100%
rename from sdxl_styles/samples/Sketchup.jpg
rename to sdxl_styles/samples/sketchup.jpg
diff --git a/sdxl_styles/samples/Suprematism.jpg b/sdxl_styles/samples/suprematism.jpg
similarity index 100%
rename from sdxl_styles/samples/Suprematism.jpg
rename to sdxl_styles/samples/suprematism.jpg
diff --git a/sdxl_styles/samples/Surrealism.jpg b/sdxl_styles/samples/surrealism.jpg
similarity index 100%
rename from sdxl_styles/samples/Surrealism.jpg
rename to sdxl_styles/samples/surrealism.jpg
diff --git a/sdxl_styles/samples/Terragen.jpg b/sdxl_styles/samples/terragen.jpg
similarity index 100%
rename from sdxl_styles/samples/Terragen.jpg
rename to sdxl_styles/samples/terragen.jpg

From 6261f17561c65df4d90564b43751c2fc94e8c4d3 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Mon, 8 Jan 2024 17:01:52 -0800
Subject: [PATCH 017/180] Update Version (#1821)

---
 fooocus_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index f66fe765..efe3b925 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.861'
+version = '2.1.862'

From dc5b5238c83c63b4d7814ba210da074ddc341213 Mon Sep 17 00:00:00 2001
From: Chris Rohrer <crohrer@users.noreply.github.com>
Date: Wed, 10 Jan 2024 02:50:47 +0100
Subject: [PATCH 018/180] fix: prevent cutting off overlay (#1829)

Co-authored-by: Christoph Rohrer <christoph.rohrer@odt.net>
---
 css/style.css        | 9 ++++++++-
 javascript/script.js | 5 +++--
 2 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/css/style.css b/css/style.css
index 6ebfd432..010c8e7f 100644
--- a/css/style.css
+++ b/css/style.css
@@ -198,7 +198,8 @@
 }
 
 #stylePreviewOverlay {
-    display: none;
+    opacity: 0;
+    pointer-events: none;
     width: 128px;
     height: 128px;
     position: fixed;
@@ -208,6 +209,12 @@
     transform: translate(-140px, 20px);
     background-size: cover;
     background-position: center;
+    background-color: rgba(0, 0, 0, 0.3);
     border-radius: 5px;
     z-index: 100;
+    transition: transform 0.1s ease, opacity 0.3s ease;
+}
+
+#stylePreviewOverlay.lower-half {
+    transform: translate(-140px, -140px);
 }
diff --git a/javascript/script.js b/javascript/script.js
index d3d16ffb..8f4cac58 100644
--- a/javascript/script.js
+++ b/javascript/script.js
@@ -158,7 +158,7 @@ function initStylePreviewOverlay() {
         label.removeEventListener("mouseout", onMouseLeave);
         label.addEventListener("mouseout", onMouseLeave);
         overlayVisible = true;
-        overlay.style.display = "block";
+        overlay.style.opacity = "1";
         const originalText = label.querySelector("span").getAttribute("data-original-text");
         const name = originalText || label.querySelector("span").textContent;
         overlay.style.backgroundImage = `url("${samplesPath.replace(
@@ -167,7 +167,7 @@ function initStylePreviewOverlay() {
         ).replaceAll("\\", "\\\\")}")`;
         function onMouseLeave() {
             overlayVisible = false;
-            overlay.style.display = "none";
+            overlay.style.opacity = "0";
             overlay.style.backgroundImage = "";
             label.removeEventListener("mouseout", onMouseLeave);
         }
@@ -176,6 +176,7 @@ function initStylePreviewOverlay() {
         if(!overlayVisible) return;
         overlay.style.left = `${e.clientX}px`;
         overlay.style.top = `${e.clientY}px`;
+        overlay.className = e.clientY > window.innerHeight / 2 ? "lower-half" : "upper-half";
     });
 }
 

From f6d67d7655be4d396194ae053c2f8bc9ec3a7680 Mon Sep 17 00:00:00 2001
From: rsl8 <138326583+rsl8@users.noreply.github.com>
Date: Sun, 21 Jan 2024 07:04:44 +0100
Subject: [PATCH 019/180] Make the private log url path relative (#1948)

---
 webui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/webui.py b/webui.py
index 581e3101..fadd852a 100644
--- a/webui.py
+++ b/webui.py
@@ -256,7 +256,7 @@ with shared.gradio_root:
                                    queue=False, show_progress=False)
 
                 if not args_manager.args.disable_image_log:
-                    gr.HTML(f'<a href="/file={get_current_html_path()}" target="_blank">\U0001F4DA History Log</a>')
+                    gr.HTML(f'<a href="file={get_current_html_path()}" target="_blank">\U0001F4DA History Log</a>')
 
             with gr.Tab(label='Style'):
                 style_sorter.try_load_sorted_styles(

From 0b00aaf897357ecd75eda7270fa3f409056b2ef9 Mon Sep 17 00:00:00 2001
From: Pradhyo Bijja <Pradhyo@users.noreply.github.com>
Date: Sat, 27 Jan 2024 07:59:04 -0500
Subject: [PATCH 020/180] add venv mentioned in the readme to gitignore (#2038)

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index 05ce1df8..de2f5778 100644
--- a/.gitignore
+++ b/.gitignore
@@ -20,6 +20,7 @@ user_path_config.txt
 user_path_config-deprecated.txt
 /modules/*.png
 /repositories
+/fooocus_env
 /venv
 /tmp
 /ui-config.json

From 1cc40d24d7e1302e963026dd178a6bb4604769f4 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sat, 27 Jan 2024 05:07:20 -0800
Subject: [PATCH 021/180] backend

---
 ldm_patched/contrib/external.py               |  68 +-
 .../contrib/external_custom_sampler.py        |  12 +-
 ldm_patched/contrib/external_freelunch.py     |   4 +-
 ldm_patched/contrib/external_hypertile.py     |  18 +-
 ldm_patched/contrib/external_latent.py        |  24 +
 ldm_patched/contrib/external_model_merging.py |  83 +--
 ldm_patched/contrib/external_photomaker.py    | 189 +++++
 .../contrib/external_post_processing.py       |   1 +
 ldm_patched/contrib/external_sag.py           |   4 +-
 ldm_patched/contrib/external_sdupscale.py     |  49 ++
 ldm_patched/contrib/external_stable3d.py      |  46 +-
 ldm_patched/contrib/external_video_model.py   |  17 +
 ldm_patched/ldm/modules/attention.py          |  35 +-
 .../modules/diffusionmodules/openaimodel.py   |   9 +-
 .../ldm/modules/diffusionmodules/upscaling.py |  12 +-
 .../ldm/modules/encoders/noise_aug_modules.py |   4 +-
 .../ldm/modules/sub_quadratic_attention.py    |  30 +-
 ldm_patched/licenses-3rd/chainer              |  20 +
 ldm_patched/licenses-3rd/comfyui              | 674 ++++++++++++++++++
 ldm_patched/licenses-3rd/diffusers            | 201 ++++++
 ldm_patched/licenses-3rd/kdiffusion           |  19 +
 ldm_patched/licenses-3rd/ldm                  |  21 +
 ldm_patched/licenses-3rd/taesd                |  21 +
 ldm_patched/licenses-3rd/transformers         | 203 ++++++
 ldm_patched/modules/args_parser.py            |   2 +
 ldm_patched/modules/clip_model.py             |   2 +-
 ldm_patched/modules/clip_vision.py            |  10 +-
 ldm_patched/modules/conds.py                  |   1 -
 ldm_patched/modules/controlnet.py             |   6 +-
 ldm_patched/modules/diffusers_load.py         |   1 -
 ldm_patched/modules/gligen.py                 |   2 +-
 ldm_patched/modules/latent_formats.py         |   4 +
 ldm_patched/modules/model_base.py             |  97 ++-
 ldm_patched/modules/model_detection.py        |   8 +-
 ldm_patched/modules/model_management.py       |   2 +-
 ldm_patched/modules/model_patcher.py          |  47 +-
 ldm_patched/modules/ops.py                    |   1 -
 ldm_patched/modules/sample.py                 |   1 -
 ldm_patched/modules/samplers.py               |  10 +-
 ldm_patched/modules/sd.py                     |  39 +-
 ldm_patched/modules/sd1_clip.py               |   1 -
 ldm_patched/modules/supported_models.py       |  29 +-
 ldm_patched/modules/supported_models_base.py  |   6 +
 ldm_patched/utils/path_utils.py               |  19 +-
 44 files changed, 1885 insertions(+), 167 deletions(-)
 create mode 100644 ldm_patched/contrib/external_photomaker.py
 create mode 100644 ldm_patched/contrib/external_sdupscale.py
 create mode 100644 ldm_patched/licenses-3rd/chainer
 create mode 100644 ldm_patched/licenses-3rd/comfyui
 create mode 100644 ldm_patched/licenses-3rd/diffusers
 create mode 100644 ldm_patched/licenses-3rd/kdiffusion
 create mode 100644 ldm_patched/licenses-3rd/ldm
 create mode 100644 ldm_patched/licenses-3rd/taesd
 create mode 100644 ldm_patched/licenses-3rd/transformers

diff --git a/ldm_patched/contrib/external.py b/ldm_patched/contrib/external.py
index 9d2238df..927cd3f3 100644
--- a/ldm_patched/contrib/external.py
+++ b/ldm_patched/contrib/external.py
@@ -361,6 +361,62 @@ class VAEEncodeForInpaint:
 
         return ({"samples":t, "noise_mask": (mask_erosion[:,:,:x,:y].round())}, )
 
+
+class InpaintModelConditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"positive": ("CONDITIONING", ),
+                             "negative": ("CONDITIONING", ),
+                             "vae": ("VAE", ),
+                             "pixels": ("IMAGE", ),
+                             "mask": ("MASK", ),
+                             }}
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING","LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/inpaint"
+
+    def encode(self, positive, negative, pixels, vae, mask):
+        x = (pixels.shape[1] // 8) * 8
+        y = (pixels.shape[2] // 8) * 8
+        mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(pixels.shape[1], pixels.shape[2]), mode="bilinear")
+
+        orig_pixels = pixels
+        pixels = orig_pixels.clone()
+        if pixels.shape[1] != x or pixels.shape[2] != y:
+            x_offset = (pixels.shape[1] % 8) // 2
+            y_offset = (pixels.shape[2] % 8) // 2
+            pixels = pixels[:,x_offset:x + x_offset, y_offset:y + y_offset,:]
+            mask = mask[:,:,x_offset:x + x_offset, y_offset:y + y_offset]
+
+        m = (1.0 - mask.round()).squeeze(1)
+        for i in range(3):
+            pixels[:,:,:,i] -= 0.5
+            pixels[:,:,:,i] *= m
+            pixels[:,:,:,i] += 0.5
+        concat_latent = vae.encode(pixels)
+        orig_latent = vae.encode(orig_pixels)
+
+        out_latent = {}
+
+        out_latent["samples"] = orig_latent
+        out_latent["noise_mask"] = mask
+
+        out = []
+        for conditioning in [positive, negative]:
+            c = []
+            for t in conditioning:
+                d = t[1].copy()
+                d["concat_latent_image"] = concat_latent
+                d["concat_mask"] = mask
+                n = [t[0], d]
+                c.append(n)
+            out.append(c)
+        return (out[0], out[1], out_latent)
+
+
 class SaveLatent:
     def __init__(self):
         self.output_dir = ldm_patched.utils.path_utils.get_output_directory()
@@ -1417,6 +1473,8 @@ class LoadImage:
         output_masks = []
         for i in ImageSequence.Iterator(img):
             i = ImageOps.exif_transpose(i)
+            if i.mode == 'I':
+                i = i.point(lambda i: i * (1 / 255))
             image = i.convert("RGB")
             image = np.array(image).astype(np.float32) / 255.0
             image = torch.from_numpy(image)[None,]
@@ -1472,6 +1530,8 @@ class LoadImageMask:
         i = Image.open(image_path)
         i = ImageOps.exif_transpose(i)
         if i.getbands() != ("R", "G", "B", "A"):
+            if i.mode == 'I':
+                i = i.point(lambda i: i * (1 / 255))
             i = i.convert("RGBA")
         mask = None
         c = channel[0].upper()
@@ -1626,10 +1686,11 @@ class ImagePadForOutpaint:
     def expand_image(self, image, left, top, right, bottom, feathering):
         d1, d2, d3, d4 = image.size()
 
-        new_image = torch.zeros(
+        new_image = torch.ones(
             (d1, d2 + top + bottom, d3 + left + right, d4),
             dtype=torch.float32,
-        )
+        ) * 0.5
+
         new_image[:, top:top + d2, left:left + d3, :] = image
 
         mask = torch.ones(
@@ -1721,6 +1782,7 @@ NODE_CLASS_MAPPINGS = {
     "unCLIPCheckpointLoader": unCLIPCheckpointLoader,
     "GLIGENLoader": GLIGENLoader,
     "GLIGENTextBoxApply": GLIGENTextBoxApply,
+    "InpaintModelConditioning": InpaintModelConditioning,
 
     "CheckpointLoader": CheckpointLoader,
     "DiffusersLoader": DiffusersLoader,
@@ -1882,6 +1944,8 @@ def init_custom_nodes():
         "nodes_sag.py",
         "nodes_perpneg.py",
         "nodes_stable3d.py",
+        "nodes_sdupscale.py",
+        "nodes_photomaker.py",
     ]
 
     for node_file in extras_files:
diff --git a/ldm_patched/contrib/external_custom_sampler.py b/ldm_patched/contrib/external_custom_sampler.py
index 6e5a769b..8f92e841 100644
--- a/ldm_patched/contrib/external_custom_sampler.py
+++ b/ldm_patched/contrib/external_custom_sampler.py
@@ -15,6 +15,7 @@ class BasicScheduler:
                     {"model": ("MODEL",),
                      "scheduler": (ldm_patched.modules.samplers.SCHEDULER_NAMES, ),
                      "steps": ("INT", {"default": 20, "min": 1, "max": 10000}),
+                     "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
                       }
                }
     RETURN_TYPES = ("SIGMAS",)
@@ -22,8 +23,14 @@ class BasicScheduler:
 
     FUNCTION = "get_sigmas"
 
-    def get_sigmas(self, model, scheduler, steps):
-        sigmas = ldm_patched.modules.samplers.calculate_sigmas_scheduler(model.model, scheduler, steps).cpu()
+    def get_sigmas(self, model, scheduler, steps, denoise):
+        total_steps = steps
+        if denoise < 1.0:
+            total_steps = int(steps/denoise)
+
+        ldm_patched.modules.model_management.load_models_gpu([model])
+        sigmas = ldm_patched.modules.samplers.calculate_sigmas_scheduler(model.model, scheduler, total_steps).cpu()
+        sigmas = sigmas[-(steps + 1):]
         return (sigmas, )
 
 
@@ -100,6 +107,7 @@ class SDTurboScheduler:
     def get_sigmas(self, model, steps, denoise):
         start_step = 10 - int(10 * denoise)
         timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[start_step:start_step + steps]
+        ldm_patched.modules.model_management.load_models_gpu([model])
         sigmas = model.model.model_sampling.sigma(timesteps)
         sigmas = torch.cat([sigmas, sigmas.new_zeros([1])])
         return (sigmas, )
diff --git a/ldm_patched/contrib/external_freelunch.py b/ldm_patched/contrib/external_freelunch.py
index f8dd5a44..59ec5bab 100644
--- a/ldm_patched/contrib/external_freelunch.py
+++ b/ldm_patched/contrib/external_freelunch.py
@@ -36,7 +36,7 @@ class FreeU:
     RETURN_TYPES = ("MODEL",)
     FUNCTION = "patch"
 
-    CATEGORY = "_for_testing"
+    CATEGORY = "model_patches"
 
     def patch(self, model, b1, b2, s1, s2):
         model_channels = model.model.model_config.unet_config["model_channels"]
@@ -75,7 +75,7 @@ class FreeU_V2:
     RETURN_TYPES = ("MODEL",)
     FUNCTION = "patch"
 
-    CATEGORY = "_for_testing"
+    CATEGORY = "model_patches"
 
     def patch(self, model, b1, b2, s1, s2):
         model_channels = model.model.model_config.unet_config["model_channels"]
diff --git a/ldm_patched/contrib/external_hypertile.py b/ldm_patched/contrib/external_hypertile.py
index 45f7c3ea..5cf7d9d6 100644
--- a/ldm_patched/contrib/external_hypertile.py
+++ b/ldm_patched/contrib/external_hypertile.py
@@ -34,29 +34,29 @@ class HyperTile:
     RETURN_TYPES = ("MODEL",)
     FUNCTION = "patch"
 
-    CATEGORY = "_for_testing"
+    CATEGORY = "model_patches"
 
     def patch(self, model, tile_size, swap_size, max_depth, scale_depth):
         model_channels = model.model.model_config.unet_config["model_channels"]
 
-        apply_to = set()
-        temp = model_channels
-        for x in range(max_depth + 1):
-            apply_to.add(temp)
-            temp *= 2
-
         latent_tile_size = max(32, tile_size) // 8
         self.temp = None
 
         def hypertile_in(q, k, v, extra_options):
-            if q.shape[-1] in apply_to:
+            model_chans = q.shape[-2]
+            orig_shape = extra_options['original_shape']
+            apply_to = []
+            for i in range(max_depth + 1):
+                apply_to.append((orig_shape[-2] / (2 ** i)) * (orig_shape[-1] / (2 ** i)))
+
+            if model_chans in apply_to:
                 shape = extra_options["original_shape"]
                 aspect_ratio = shape[-1] / shape[-2]
 
                 hw = q.size(1)
                 h, w = round(math.sqrt(hw * aspect_ratio)), round(math.sqrt(hw / aspect_ratio))
 
-                factor = 2**((q.shape[-1] // model_channels) - 1) if scale_depth else 1
+                factor = (2 ** apply_to.index(model_chans)) if scale_depth else 1
                 nh = random_divisor(h, latent_tile_size * factor, swap_size)
                 nw = random_divisor(w, latent_tile_size * factor, swap_size)
 
diff --git a/ldm_patched/contrib/external_latent.py b/ldm_patched/contrib/external_latent.py
index c6f874e1..6d753d0f 100644
--- a/ldm_patched/contrib/external_latent.py
+++ b/ldm_patched/contrib/external_latent.py
@@ -124,10 +124,34 @@ class LatentBatch:
         samples_out["batch_index"] = samples1.get("batch_index", [x for x in range(0, s1.shape[0])]) + samples2.get("batch_index", [x for x in range(0, s2.shape[0])])
         return (samples_out,)
 
+class LatentBatchSeedBehavior:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "samples": ("LATENT",),
+                              "seed_behavior": (["random", "fixed"],),}}
+
+    RETURN_TYPES = ("LATENT",)
+    FUNCTION = "op"
+
+    CATEGORY = "latent/advanced"
+
+    def op(self, samples, seed_behavior):
+        samples_out = samples.copy()
+        latent = samples["samples"]
+        if seed_behavior == "random":
+            if 'batch_index' in samples_out:
+                samples_out.pop('batch_index')
+        elif seed_behavior == "fixed":
+            batch_number = samples_out.get("batch_index", [0])[0]
+            samples_out["batch_index"] = [batch_number] * latent.shape[0]
+
+        return (samples_out,)
+
 NODE_CLASS_MAPPINGS = {
     "LatentAdd": LatentAdd,
     "LatentSubtract": LatentSubtract,
     "LatentMultiply": LatentMultiply,
     "LatentInterpolate": LatentInterpolate,
     "LatentBatch": LatentBatch,
+    "LatentBatchSeedBehavior": LatentBatchSeedBehavior,
 }
diff --git a/ldm_patched/contrib/external_model_merging.py b/ldm_patched/contrib/external_model_merging.py
index c0cf9afd..ae8145d4 100644
--- a/ldm_patched/contrib/external_model_merging.py
+++ b/ldm_patched/contrib/external_model_merging.py
@@ -121,6 +121,48 @@ class ModelMergeBlocks:
             m.add_patches({k: kp[k]}, 1.0 - ratio, ratio)
         return (m, )
 
+def save_checkpoint(model, clip=None, vae=None, clip_vision=None, filename_prefix=None, output_dir=None, prompt=None, extra_pnginfo=None):
+    full_output_folder, filename, counter, subfolder, filename_prefix = ldm_patched.utils.path_utils.get_save_image_path(filename_prefix, output_dir)
+    prompt_info = ""
+    if prompt is not None:
+        prompt_info = json.dumps(prompt)
+
+    metadata = {}
+
+    enable_modelspec = True
+    if isinstance(model.model, ldm_patched.modules.model_base.SDXL):
+        metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-base"
+    elif isinstance(model.model, ldm_patched.modules.model_base.SDXLRefiner):
+        metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-refiner"
+    else:
+        enable_modelspec = False
+
+    if enable_modelspec:
+        metadata["modelspec.sai_model_spec"] = "1.0.0"
+        metadata["modelspec.implementation"] = "sgm"
+        metadata["modelspec.title"] = "{} {}".format(filename, counter)
+
+    #TODO:
+    # "stable-diffusion-v1", "stable-diffusion-v1-inpainting", "stable-diffusion-v2-512",
+    # "stable-diffusion-v2-768-v", "stable-diffusion-v2-unclip-l", "stable-diffusion-v2-unclip-h",
+    # "v2-inpainting"
+
+    if model.model.model_type == ldm_patched.modules.model_base.ModelType.EPS:
+        metadata["modelspec.predict_key"] = "epsilon"
+    elif model.model.model_type == ldm_patched.modules.model_base.ModelType.V_PREDICTION:
+        metadata["modelspec.predict_key"] = "v"
+
+    if not args.disable_server_info:
+        metadata["prompt"] = prompt_info
+        if extra_pnginfo is not None:
+            for x in extra_pnginfo:
+                metadata[x] = json.dumps(extra_pnginfo[x])
+
+    output_checkpoint = f"{filename}_{counter:05}_.safetensors"
+    output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
+
+    ldm_patched.modules.sd.save_checkpoint(output_checkpoint, model, clip, vae, clip_vision, metadata=metadata)
+
 class CheckpointSave:
     def __init__(self):
         self.output_dir = ldm_patched.utils.path_utils.get_output_directory()
@@ -139,46 +181,7 @@ class CheckpointSave:
     CATEGORY = "advanced/model_merging"
 
     def save(self, model, clip, vae, filename_prefix, prompt=None, extra_pnginfo=None):
-        full_output_folder, filename, counter, subfolder, filename_prefix = ldm_patched.utils.path_utils.get_save_image_path(filename_prefix, self.output_dir)
-        prompt_info = ""
-        if prompt is not None:
-            prompt_info = json.dumps(prompt)
-
-        metadata = {}
-
-        enable_modelspec = True
-        if isinstance(model.model, ldm_patched.modules.model_base.SDXL):
-            metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-base"
-        elif isinstance(model.model, ldm_patched.modules.model_base.SDXLRefiner):
-            metadata["modelspec.architecture"] = "stable-diffusion-xl-v1-refiner"
-        else:
-            enable_modelspec = False
-
-        if enable_modelspec:
-            metadata["modelspec.sai_model_spec"] = "1.0.0"
-            metadata["modelspec.implementation"] = "sgm"
-            metadata["modelspec.title"] = "{} {}".format(filename, counter)
-
-        #TODO:
-        # "stable-diffusion-v1", "stable-diffusion-v1-inpainting", "stable-diffusion-v2-512",
-        # "stable-diffusion-v2-768-v", "stable-diffusion-v2-unclip-l", "stable-diffusion-v2-unclip-h",
-        # "v2-inpainting"
-
-        if model.model.model_type == ldm_patched.modules.model_base.ModelType.EPS:
-            metadata["modelspec.predict_key"] = "epsilon"
-        elif model.model.model_type == ldm_patched.modules.model_base.ModelType.V_PREDICTION:
-            metadata["modelspec.predict_key"] = "v"
-
-        if not args.disable_server_info:
-            metadata["prompt"] = prompt_info
-            if extra_pnginfo is not None:
-                for x in extra_pnginfo:
-                    metadata[x] = json.dumps(extra_pnginfo[x])
-
-        output_checkpoint = f"{filename}_{counter:05}_.safetensors"
-        output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
-
-        ldm_patched.modules.sd.save_checkpoint(output_checkpoint, model, clip, vae, metadata=metadata)
+        save_checkpoint(model, clip=clip, vae=vae, filename_prefix=filename_prefix, output_dir=self.output_dir, prompt=prompt, extra_pnginfo=extra_pnginfo)
         return {}
 
 class CLIPSave:
diff --git a/ldm_patched/contrib/external_photomaker.py b/ldm_patched/contrib/external_photomaker.py
new file mode 100644
index 00000000..cc7f6710
--- /dev/null
+++ b/ldm_patched/contrib/external_photomaker.py
@@ -0,0 +1,189 @@
+# https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py 
+
+import torch
+import torch.nn as nn
+import ldm_patched.utils.path_utils
+import ldm_patched.modules.clip_model
+import ldm_patched.modules.clip_vision
+import ldm_patched.modules.ops
+
+# code for model from: https://github.com/TencentARC/PhotoMaker/blob/main/photomaker/model.py under Apache License Version 2.0
+VISION_CONFIG_DICT = {
+    "hidden_size": 1024,
+    "image_size": 224,
+    "intermediate_size": 4096,
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "hidden_act": "quick_gelu",
+}
+
+class MLP(nn.Module):
+    def __init__(self, in_dim, out_dim, hidden_dim, use_residual=True, operations=ldm_patched.modules.ops):
+        super().__init__()
+        if use_residual:
+            assert in_dim == out_dim
+        self.layernorm = operations.LayerNorm(in_dim)
+        self.fc1 = operations.Linear(in_dim, hidden_dim)
+        self.fc2 = operations.Linear(hidden_dim, out_dim)
+        self.use_residual = use_residual
+        self.act_fn = nn.GELU()
+
+    def forward(self, x):
+        residual = x
+        x = self.layernorm(x)
+        x = self.fc1(x)
+        x = self.act_fn(x)
+        x = self.fc2(x)
+        if self.use_residual:
+            x = x + residual
+        return x
+
+
+class FuseModule(nn.Module):
+    def __init__(self, embed_dim, operations):
+        super().__init__()
+        self.mlp1 = MLP(embed_dim * 2, embed_dim, embed_dim, use_residual=False, operations=operations)
+        self.mlp2 = MLP(embed_dim, embed_dim, embed_dim, use_residual=True, operations=operations)
+        self.layer_norm = operations.LayerNorm(embed_dim)
+
+    def fuse_fn(self, prompt_embeds, id_embeds):
+        stacked_id_embeds = torch.cat([prompt_embeds, id_embeds], dim=-1)
+        stacked_id_embeds = self.mlp1(stacked_id_embeds) + prompt_embeds
+        stacked_id_embeds = self.mlp2(stacked_id_embeds)
+        stacked_id_embeds = self.layer_norm(stacked_id_embeds)
+        return stacked_id_embeds
+
+    def forward(
+        self,
+        prompt_embeds,
+        id_embeds,
+        class_tokens_mask,
+    ) -> torch.Tensor:
+        # id_embeds shape: [b, max_num_inputs, 1, 2048]
+        id_embeds = id_embeds.to(prompt_embeds.dtype)
+        num_inputs = class_tokens_mask.sum().unsqueeze(0) # TODO: check for training case
+        batch_size, max_num_inputs = id_embeds.shape[:2]
+        # seq_length: 77
+        seq_length = prompt_embeds.shape[1]
+        # flat_id_embeds shape: [b*max_num_inputs, 1, 2048]
+        flat_id_embeds = id_embeds.view(
+            -1, id_embeds.shape[-2], id_embeds.shape[-1]
+        )
+        # valid_id_mask [b*max_num_inputs]
+        valid_id_mask = (
+            torch.arange(max_num_inputs, device=flat_id_embeds.device)[None, :]
+            < num_inputs[:, None]
+        )
+        valid_id_embeds = flat_id_embeds[valid_id_mask.flatten()]
+
+        prompt_embeds = prompt_embeds.view(-1, prompt_embeds.shape[-1])
+        class_tokens_mask = class_tokens_mask.view(-1)
+        valid_id_embeds = valid_id_embeds.view(-1, valid_id_embeds.shape[-1])
+        # slice out the image token embeddings
+        image_token_embeds = prompt_embeds[class_tokens_mask]
+        stacked_id_embeds = self.fuse_fn(image_token_embeds, valid_id_embeds)
+        assert class_tokens_mask.sum() == stacked_id_embeds.shape[0], f"{class_tokens_mask.sum()} != {stacked_id_embeds.shape[0]}"
+        prompt_embeds.masked_scatter_(class_tokens_mask[:, None], stacked_id_embeds.to(prompt_embeds.dtype))
+        updated_prompt_embeds = prompt_embeds.view(batch_size, seq_length, -1)
+        return updated_prompt_embeds
+
+class PhotoMakerIDEncoder(ldm_patched.modules.clip_model.CLIPVisionModelProjection):
+    def __init__(self):
+        self.load_device = ldm_patched.modules.model_management.text_encoder_device()
+        offload_device = ldm_patched.modules.model_management.text_encoder_offload_device()
+        dtype = ldm_patched.modules.model_management.text_encoder_dtype(self.load_device)
+
+        super().__init__(VISION_CONFIG_DICT, dtype, offload_device, ldm_patched.modules.ops.manual_cast)
+        self.visual_projection_2 = ldm_patched.modules.ops.manual_cast.Linear(1024, 1280, bias=False)
+        self.fuse_module = FuseModule(2048, ldm_patched.modules.ops.manual_cast)
+
+    def forward(self, id_pixel_values, prompt_embeds, class_tokens_mask):
+        b, num_inputs, c, h, w = id_pixel_values.shape
+        id_pixel_values = id_pixel_values.view(b * num_inputs, c, h, w)
+
+        shared_id_embeds = self.vision_model(id_pixel_values)[2]
+        id_embeds = self.visual_projection(shared_id_embeds)
+        id_embeds_2 = self.visual_projection_2(shared_id_embeds)
+
+        id_embeds = id_embeds.view(b, num_inputs, 1, -1)
+        id_embeds_2 = id_embeds_2.view(b, num_inputs, 1, -1)
+
+        id_embeds = torch.cat((id_embeds, id_embeds_2), dim=-1)
+        updated_prompt_embeds = self.fuse_module(prompt_embeds, id_embeds, class_tokens_mask)
+
+        return updated_prompt_embeds
+
+
+class PhotoMakerLoader:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "photomaker_model_name": (ldm_patched.utils.path_utils.get_filename_list("photomaker"), )}}
+
+    RETURN_TYPES = ("PHOTOMAKER",)
+    FUNCTION = "load_photomaker_model"
+
+    CATEGORY = "_for_testing/photomaker"
+
+    def load_photomaker_model(self, photomaker_model_name):
+        photomaker_model_path = ldm_patched.utils.path_utils.get_full_path("photomaker", photomaker_model_name)
+        photomaker_model = PhotoMakerIDEncoder()
+        data = ldm_patched.modules.utils.load_torch_file(photomaker_model_path, safe_load=True)
+        if "id_encoder" in data:
+            data = data["id_encoder"]
+        photomaker_model.load_state_dict(data)
+        return (photomaker_model,)
+
+
+class PhotoMakerEncode:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "photomaker": ("PHOTOMAKER",),
+                              "image": ("IMAGE",),
+                              "clip": ("CLIP", ),
+                              "text": ("STRING", {"multiline": True, "default": "photograph of photomaker"}),
+                             }}
+
+    RETURN_TYPES = ("CONDITIONING",)
+    FUNCTION = "apply_photomaker"
+
+    CATEGORY = "_for_testing/photomaker"
+
+    def apply_photomaker(self, photomaker, image, clip, text):
+        special_token = "photomaker"
+        pixel_values = ldm_patched.modules.clip_vision.clip_preprocess(image.to(photomaker.load_device)).float()
+        try:
+            index = text.split(" ").index(special_token) + 1
+        except ValueError:
+            index = -1
+        tokens = clip.tokenize(text, return_word_ids=True)
+        out_tokens = {}
+        for k in tokens:
+            out_tokens[k] = []
+            for t in tokens[k]:
+                f = list(filter(lambda x: x[2] != index, t))
+                while len(f) < len(t):
+                    f.append(t[-1])
+                out_tokens[k].append(f)
+
+        cond, pooled = clip.encode_from_tokens(out_tokens, return_pooled=True)
+
+        if index > 0:
+            token_index = index - 1
+            num_id_images = 1
+            class_tokens_mask = [True if token_index <= i < token_index+num_id_images else False for i in range(77)]
+            out = photomaker(id_pixel_values=pixel_values.unsqueeze(0), prompt_embeds=cond.to(photomaker.load_device),
+                            class_tokens_mask=torch.tensor(class_tokens_mask, dtype=torch.bool, device=photomaker.load_device).unsqueeze(0))
+        else:
+            out = cond
+
+        return ([[out, {"pooled_output": pooled}]], )
+
+
+NODE_CLASS_MAPPINGS = {
+    "PhotoMakerLoader": PhotoMakerLoader,
+    "PhotoMakerEncode": PhotoMakerEncode,
+}
+
diff --git a/ldm_patched/contrib/external_post_processing.py b/ldm_patched/contrib/external_post_processing.py
index 432c53fb..93cb1212 100644
--- a/ldm_patched/contrib/external_post_processing.py
+++ b/ldm_patched/contrib/external_post_processing.py
@@ -35,6 +35,7 @@ class Blend:
     CATEGORY = "image/postprocessing"
 
     def blend_images(self, image1: torch.Tensor, image2: torch.Tensor, blend_factor: float, blend_mode: str):
+        image2 = image2.to(image1.device)
         if image1.shape != image2.shape:
             image2 = image2.permute(0, 3, 1, 2)
             image2 = ldm_patched.modules.utils.common_upscale(image2, image1.shape[2], image1.shape[1], upscale_method='bicubic', crop='center')
diff --git a/ldm_patched/contrib/external_sag.py b/ldm_patched/contrib/external_sag.py
index 9cffe879..804d5611 100644
--- a/ldm_patched/contrib/external_sag.py
+++ b/ldm_patched/contrib/external_sag.py
@@ -60,7 +60,7 @@ def create_blur_map(x0, attn, sigma=3.0, threshold=1.0):
     attn = attn.reshape(b, -1, hw1, hw2)
     # Global Average Pool
     mask = attn.mean(1, keepdim=False).sum(1, keepdim=False) > threshold
-    ratio = math.ceil(math.sqrt(lh * lw / hw1))
+    ratio = 2**(math.ceil(math.sqrt(lh * lw / hw1)) - 1).bit_length()
     mid_shape = [math.ceil(lh / ratio), math.ceil(lw / ratio)]
 
     # Reshape
@@ -145,6 +145,8 @@ class SelfAttentionGuidance:
             sigma = args["sigma"]
             model_options = args["model_options"]
             x = args["input"]
+            if min(cfg_result.shape[2:]) <= 4: #skip when too small to add padding
+                return cfg_result
 
             # create the adversarially blurred image
             degraded = create_blur_map(uncond_pred, uncond_attn, sag_sigma, sag_threshold)
diff --git a/ldm_patched/contrib/external_sdupscale.py b/ldm_patched/contrib/external_sdupscale.py
new file mode 100644
index 00000000..68153c47
--- /dev/null
+++ b/ldm_patched/contrib/external_sdupscale.py
@@ -0,0 +1,49 @@
+# https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py 
+
+import torch
+import ldm_patched.contrib.external
+import ldm_patched.modules.utils
+
+class SD_4XUpscale_Conditioning:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "images": ("IMAGE",),
+                              "positive": ("CONDITIONING",),
+                              "negative": ("CONDITIONING",),
+                              "scale_ratio": ("FLOAT", {"default": 4.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                              "noise_augmentation": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/upscale_diffusion"
+
+    def encode(self, images, positive, negative, scale_ratio, noise_augmentation):
+        width = max(1, round(images.shape[-2] * scale_ratio))
+        height = max(1, round(images.shape[-3] * scale_ratio))
+
+        pixels = ldm_patched.modules.utils.common_upscale((images.movedim(-1,1) * 2.0) - 1.0, width // 4, height // 4, "bilinear", "center")
+
+        out_cp = []
+        out_cn = []
+
+        for t in positive:
+            n = [t[0], t[1].copy()]
+            n[1]['concat_image'] = pixels
+            n[1]['noise_augmentation'] = noise_augmentation
+            out_cp.append(n)
+
+        for t in negative:
+            n = [t[0], t[1].copy()]
+            n[1]['concat_image'] = pixels
+            n[1]['noise_augmentation'] = noise_augmentation
+            out_cn.append(n)
+
+        latent = torch.zeros([images.shape[0], 4, height // 4, width // 4])
+        return (out_cp, out_cn, {"samples":latent})
+
+NODE_CLASS_MAPPINGS = {
+    "SD_4XUpscale_Conditioning": SD_4XUpscale_Conditioning,
+}
diff --git a/ldm_patched/contrib/external_stable3d.py b/ldm_patched/contrib/external_stable3d.py
index 2913a3d0..bae2623f 100644
--- a/ldm_patched/contrib/external_stable3d.py
+++ b/ldm_patched/contrib/external_stable3d.py
@@ -48,13 +48,57 @@ class StableZero123_Conditioning:
         encode_pixels = pixels[:,:,:,:3]
         t = vae.encode(encode_pixels)
         cam_embeds = camera_embeddings(elevation, azimuth)
-        cond = torch.cat([pooled, cam_embeds.repeat((pooled.shape[0], 1, 1))], dim=-1)
+        cond = torch.cat([pooled, cam_embeds.to(pooled.device).repeat((pooled.shape[0], 1, 1))], dim=-1)
 
         positive = [[cond, {"concat_latent_image": t}]]
         negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t)}]]
         latent = torch.zeros([batch_size, 4, height // 8, width // 8])
         return (positive, negative, {"samples":latent})
 
+class StableZero123_Conditioning_Batched:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "clip_vision": ("CLIP_VISION",),
+                              "init_image": ("IMAGE",),
+                              "vae": ("VAE",),
+                              "width": ("INT", {"default": 256, "min": 16, "max": ldm_patched.contrib.external.MAX_RESOLUTION, "step": 8}),
+                              "height": ("INT", {"default": 256, "min": 16, "max": ldm_patched.contrib.external.MAX_RESOLUTION, "step": 8}),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              "elevation": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0}),
+                              "azimuth": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0}),
+                              "elevation_batch_increment": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0}),
+                              "azimuth_batch_increment": ("FLOAT", {"default": 0.0, "min": -180.0, "max": 180.0}),
+                             }}
+    RETURN_TYPES = ("CONDITIONING", "CONDITIONING", "LATENT")
+    RETURN_NAMES = ("positive", "negative", "latent")
+
+    FUNCTION = "encode"
+
+    CATEGORY = "conditioning/3d_models"
+
+    def encode(self, clip_vision, init_image, vae, width, height, batch_size, elevation, azimuth, elevation_batch_increment, azimuth_batch_increment):
+        output = clip_vision.encode_image(init_image)
+        pooled = output.image_embeds.unsqueeze(0)
+        pixels = ldm_patched.modules.utils.common_upscale(init_image.movedim(-1,1), width, height, "bilinear", "center").movedim(1,-1)
+        encode_pixels = pixels[:,:,:,:3]
+        t = vae.encode(encode_pixels)
+
+        cam_embeds = []
+        for i in range(batch_size):
+            cam_embeds.append(camera_embeddings(elevation, azimuth))
+            elevation += elevation_batch_increment
+            azimuth += azimuth_batch_increment
+
+        cam_embeds = torch.cat(cam_embeds, dim=0)
+        cond = torch.cat([ldm_patched.modules.utils.repeat_to_batch_size(pooled, batch_size), cam_embeds], dim=-1)
+
+        positive = [[cond, {"concat_latent_image": t}]]
+        negative = [[torch.zeros_like(pooled), {"concat_latent_image": torch.zeros_like(t)}]]
+        latent = torch.zeros([batch_size, 4, height // 8, width // 8])
+        return (positive, negative, {"samples":latent, "batch_index": [0] * batch_size})
+
+
 NODE_CLASS_MAPPINGS = {
     "StableZero123_Conditioning": StableZero123_Conditioning,
+    "StableZero123_Conditioning_Batched": StableZero123_Conditioning_Batched,
 }
diff --git a/ldm_patched/contrib/external_video_model.py b/ldm_patched/contrib/external_video_model.py
index 4504528a..503df0e1 100644
--- a/ldm_patched/contrib/external_video_model.py
+++ b/ldm_patched/contrib/external_video_model.py
@@ -5,6 +5,7 @@ import torch
 import ldm_patched.modules.utils
 import ldm_patched.modules.sd
 import ldm_patched.utils.path_utils
+import ldm_patched.contrib.external_model_merging
 
 
 class ImageOnlyCheckpointLoader:
@@ -80,10 +81,26 @@ class VideoLinearCFGGuidance:
         m.set_model_sampler_cfg_function(linear_cfg)
         return (m, )
 
+class ImageOnlyCheckpointSave(ldm_patched.contrib.external_model_merging.CheckpointSave):
+    CATEGORY = "_for_testing"
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "model": ("MODEL",),
+                              "clip_vision": ("CLIP_VISION",),
+                              "vae": ("VAE",),
+                              "filename_prefix": ("STRING", {"default": "checkpoints/ldm_patched"}),},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},}
+
+    def save(self, model, clip_vision, vae, filename_prefix, prompt=None, extra_pnginfo=None):
+        ldm_patched.contrib.external_model_merging.save_checkpoint(model, clip_vision=clip_vision, vae=vae, filename_prefix=filename_prefix, output_dir=self.output_dir, prompt=prompt, extra_pnginfo=extra_pnginfo)
+        return {}
+
 NODE_CLASS_MAPPINGS = {
     "ImageOnlyCheckpointLoader": ImageOnlyCheckpointLoader,
     "SVD_img2vid_Conditioning": SVD_img2vid_Conditioning,
     "VideoLinearCFGGuidance": VideoLinearCFGGuidance,
+    "ImageOnlyCheckpointSave": ImageOnlyCheckpointSave,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
diff --git a/ldm_patched/ldm/modules/attention.py b/ldm_patched/ldm/modules/attention.py
index 49e502ed..e10a868d 100644
--- a/ldm_patched/ldm/modules/attention.py
+++ b/ldm_patched/ldm/modules/attention.py
@@ -1,12 +1,9 @@
-from inspect import isfunction
 import math
 import torch
 import torch.nn.functional as F
 from torch import nn, einsum
 from einops import rearrange, repeat
 from typing import Optional, Any
-from functools import partial
-
 
 from .diffusionmodules.util import checkpoint, AlphaBlender, timestep_embedding
 from .sub_quadratic_attention import efficient_dot_product_attention
@@ -177,6 +174,7 @@ def attention_sub_quad(query, key, value, heads, mask=None):
         kv_chunk_size_min=kv_chunk_size_min,
         use_checkpoint=False,
         upcast_attention=upcast_attention,
+        mask=mask,
     )
 
     hidden_states = hidden_states.to(dtype)
@@ -239,6 +237,12 @@ def attention_split(q, k, v, heads, mask=None):
                 else:
                     s1 = einsum('b i d, b j d -> b i j', q[:, i:end], k) * scale
 
+                if mask is not None:
+                    if len(mask.shape) == 2:
+                        s1 += mask[i:end]
+                    else:
+                        s1 += mask[:, i:end]
+
                 s2 = s1.softmax(dim=-1).to(v.dtype)
                 del s1
                 first_op_done = True
@@ -294,11 +298,14 @@ def attention_xformers(q, k, v, heads, mask=None):
         (q, k, v),
     )
 
-    # actually compute the attention, what we cannot get enough of
-    out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
+    if mask is not None:
+        pad = 8 - q.shape[1] % 8
+        mask_out = torch.empty([q.shape[0], q.shape[1], q.shape[1] + pad], dtype=q.dtype, device=q.device)
+        mask_out[:, :, :mask.shape[-1]] = mask
+        mask = mask_out[:, :, :mask.shape[-1]]
+
+    out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask)
 
-    if exists(mask):
-        raise NotImplementedError
     out = (
         out.unsqueeze(0)
         .reshape(b, heads, -1, dim_head)
@@ -323,7 +330,6 @@ def attention_pytorch(q, k, v, heads, mask=None):
 
 
 optimized_attention = attention_basic
-optimized_attention_masked = attention_basic
 
 if model_management.xformers_enabled():
     print("Using xformers cross attention")
@@ -339,15 +345,18 @@ else:
         print("Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --attention-split")
         optimized_attention = attention_sub_quad
 
-if model_management.pytorch_attention_enabled():
-    optimized_attention_masked = attention_pytorch
+optimized_attention_masked = optimized_attention
 
-def optimized_attention_for_device(device, mask=False):
-    if device == torch.device("cpu"): #TODO
+def optimized_attention_for_device(device, mask=False, small_input=False):
+    if small_input:
         if model_management.pytorch_attention_enabled():
-            return attention_pytorch
+            return attention_pytorch #TODO: need to confirm but this is probably slightly faster for small inputs in all cases
         else:
             return attention_basic
+
+    if device == torch.device("cpu"):
+        return attention_sub_quad
+
     if mask:
         return optimized_attention_masked
 
diff --git a/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py b/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py
index e5784f28..4b695f76 100644
--- a/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py
+++ b/ldm_patched/ldm/modules/diffusionmodules/openaimodel.py
@@ -1,12 +1,9 @@
 from abc import abstractmethod
-import math
 
-import numpy as np
 import torch as th
 import torch.nn as nn
 import torch.nn.functional as F
 from einops import rearrange
-from functools import partial
 
 from .util import (
     checkpoint,
@@ -437,9 +434,6 @@ class UNetModel(nn.Module):
         operations=ops,
     ):
         super().__init__()
-        assert use_spatial_transformer == True, "use_spatial_transformer has to be true"
-        if use_spatial_transformer:
-            assert context_dim is not None, 'Fool!! You forgot to include the dimension of your cross-attention conditioning...'
 
         if context_dim is not None:
             assert use_spatial_transformer, 'Fool!! You forgot to use the spatial transformer for your cross-attention conditioning...'
@@ -456,7 +450,6 @@ class UNetModel(nn.Module):
         if num_head_channels == -1:
             assert num_heads != -1, 'Either num_heads or num_head_channels has to be set'
 
-        self.image_size = image_size
         self.in_channels = in_channels
         self.model_channels = model_channels
         self.out_channels = out_channels
@@ -502,7 +495,7 @@ class UNetModel(nn.Module):
 
         if self.num_classes is not None:
             if isinstance(self.num_classes, int):
-                self.label_emb = nn.Embedding(num_classes, time_embed_dim)
+                self.label_emb = nn.Embedding(num_classes, time_embed_dim, dtype=self.dtype, device=device)
             elif self.num_classes == "continuous":
                 print("setting up linear c_adm embedding layer")
                 self.label_emb = nn.Linear(1, time_embed_dim)
diff --git a/ldm_patched/ldm/modules/diffusionmodules/upscaling.py b/ldm_patched/ldm/modules/diffusionmodules/upscaling.py
index 2cde80c5..a38bff57 100644
--- a/ldm_patched/ldm/modules/diffusionmodules/upscaling.py
+++ b/ldm_patched/ldm/modules/diffusionmodules/upscaling.py
@@ -41,8 +41,12 @@ class AbstractLowScaleModel(nn.Module):
         self.register_buffer('sqrt_recip_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod)))
         self.register_buffer('sqrt_recipm1_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod - 1)))
 
-    def q_sample(self, x_start, t, noise=None):
-        noise = default(noise, lambda: torch.randn_like(x_start))
+    def q_sample(self, x_start, t, noise=None, seed=None):
+        if noise is None:
+            if seed is None:
+                noise = torch.randn_like(x_start)
+            else:
+                noise = torch.randn(x_start.size(), dtype=x_start.dtype, layout=x_start.layout, generator=torch.manual_seed(seed)).to(x_start.device)
         return (extract_into_tensor(self.sqrt_alphas_cumprod.to(x_start.device), t, x_start.shape) * x_start +
                 extract_into_tensor(self.sqrt_one_minus_alphas_cumprod.to(x_start.device), t, x_start.shape) * noise)
 
@@ -69,12 +73,12 @@ class ImageConcatWithNoiseAugmentation(AbstractLowScaleModel):
         super().__init__(noise_schedule_config=noise_schedule_config)
         self.max_noise_level = max_noise_level
 
-    def forward(self, x, noise_level=None):
+    def forward(self, x, noise_level=None, seed=None):
         if noise_level is None:
             noise_level = torch.randint(0, self.max_noise_level, (x.shape[0],), device=x.device).long()
         else:
             assert isinstance(noise_level, torch.Tensor)
-        z = self.q_sample(x, noise_level)
+        z = self.q_sample(x, noise_level, seed=seed)
         return z, noise_level
 
 
diff --git a/ldm_patched/ldm/modules/encoders/noise_aug_modules.py b/ldm_patched/ldm/modules/encoders/noise_aug_modules.py
index 66767b58..a5d86603 100644
--- a/ldm_patched/ldm/modules/encoders/noise_aug_modules.py
+++ b/ldm_patched/ldm/modules/encoders/noise_aug_modules.py
@@ -23,13 +23,13 @@ class CLIPEmbeddingNoiseAugmentation(ImageConcatWithNoiseAugmentation):
         x = (x * self.data_std.to(x.device)) + self.data_mean.to(x.device)
         return x
 
-    def forward(self, x, noise_level=None):
+    def forward(self, x, noise_level=None, seed=None):
         if noise_level is None:
             noise_level = torch.randint(0, self.max_noise_level, (x.shape[0],), device=x.device).long()
         else:
             assert isinstance(noise_level, torch.Tensor)
         x = self.scale(x)
-        z = self.q_sample(x, noise_level)
+        z = self.q_sample(x, noise_level, seed=seed)
         z = self.unscale(z)
         noise_level = self.time_embed(noise_level)
         return z, noise_level
diff --git a/ldm_patched/ldm/modules/sub_quadratic_attention.py b/ldm_patched/ldm/modules/sub_quadratic_attention.py
index cabf1f67..9f4c23c7 100644
--- a/ldm_patched/ldm/modules/sub_quadratic_attention.py
+++ b/ldm_patched/ldm/modules/sub_quadratic_attention.py
@@ -61,6 +61,7 @@ def _summarize_chunk(
     value: Tensor,
     scale: float,
     upcast_attention: bool,
+    mask,
 ) -> AttnChunk:
     if upcast_attention:
         with torch.autocast(enabled=False, device_type = 'cuda'):
@@ -84,6 +85,8 @@ def _summarize_chunk(
     max_score, _ = torch.max(attn_weights, -1, keepdim=True)
     max_score = max_score.detach()
     attn_weights -= max_score
+    if mask is not None:
+        attn_weights += mask
     torch.exp(attn_weights, out=attn_weights)
     exp_weights = attn_weights.to(value.dtype)
     exp_values = torch.bmm(exp_weights, value)
@@ -96,11 +99,12 @@ def _query_chunk_attention(
     value: Tensor,
     summarize_chunk: SummarizeChunk,
     kv_chunk_size: int,
+    mask,
 ) -> Tensor:
     batch_x_heads, k_channels_per_head, k_tokens = key_t.shape
     _, _, v_channels_per_head = value.shape
 
-    def chunk_scanner(chunk_idx: int) -> AttnChunk:
+    def chunk_scanner(chunk_idx: int, mask) -> AttnChunk:
         key_chunk = dynamic_slice(
             key_t,
             (0, 0, chunk_idx),
@@ -111,10 +115,13 @@ def _query_chunk_attention(
             (0, chunk_idx, 0),
             (batch_x_heads, kv_chunk_size, v_channels_per_head)
         )
-        return summarize_chunk(query, key_chunk, value_chunk)
+        if mask is not None:
+            mask = mask[:,:,chunk_idx:chunk_idx + kv_chunk_size]
+
+        return summarize_chunk(query, key_chunk, value_chunk, mask=mask)
 
     chunks: List[AttnChunk] = [
-        chunk_scanner(chunk) for chunk in torch.arange(0, k_tokens, kv_chunk_size)
+        chunk_scanner(chunk, mask) for chunk in torch.arange(0, k_tokens, kv_chunk_size)
     ]
     acc_chunk = AttnChunk(*map(torch.stack, zip(*chunks)))
     chunk_values, chunk_weights, chunk_max = acc_chunk
@@ -135,6 +142,7 @@ def _get_attention_scores_no_kv_chunking(
     value: Tensor,
     scale: float,
     upcast_attention: bool,
+    mask,
 ) -> Tensor:
     if upcast_attention:
         with torch.autocast(enabled=False, device_type = 'cuda'):
@@ -156,6 +164,8 @@ def _get_attention_scores_no_kv_chunking(
             beta=0,
         )
 
+    if mask is not None:
+        attn_scores += mask
     try:
         attn_probs = attn_scores.softmax(dim=-1)
         del attn_scores
@@ -183,6 +193,7 @@ def efficient_dot_product_attention(
     kv_chunk_size_min: Optional[int] = None,
     use_checkpoint=True,
     upcast_attention=False,
+    mask = None,
 ):
     """Computes efficient dot-product attention given query, transposed key, and value.
       This is efficient version of attention presented in
@@ -209,13 +220,22 @@ def efficient_dot_product_attention(
     if kv_chunk_size_min is not None:
         kv_chunk_size = max(kv_chunk_size, kv_chunk_size_min)
 
+    if mask is not None and len(mask.shape) == 2:
+        mask = mask.unsqueeze(0)
+
     def get_query_chunk(chunk_idx: int) -> Tensor:
         return dynamic_slice(
             query,
             (0, chunk_idx, 0),
             (batch_x_heads, min(query_chunk_size, q_tokens), q_channels_per_head)
         )
-    
+
+    def get_mask_chunk(chunk_idx: int) -> Tensor:
+        if mask is None:
+            return None
+        chunk = min(query_chunk_size, q_tokens)
+        return mask[:,chunk_idx:chunk_idx + chunk]
+
     summarize_chunk: SummarizeChunk = partial(_summarize_chunk, scale=scale, upcast_attention=upcast_attention)
     summarize_chunk: SummarizeChunk = partial(checkpoint, summarize_chunk) if use_checkpoint else summarize_chunk
     compute_query_chunk_attn: ComputeQueryChunkAttn = partial(
@@ -237,6 +257,7 @@ def efficient_dot_product_attention(
             query=query,
             key_t=key_t,
             value=value,
+            mask=mask,
         )
     
     # TODO: maybe we should use torch.empty_like(query) to allocate storage in-advance,
@@ -246,6 +267,7 @@ def efficient_dot_product_attention(
             query=get_query_chunk(i * query_chunk_size),
             key_t=key_t,
             value=value,
+            mask=get_mask_chunk(i * query_chunk_size)
         ) for i in range(math.ceil(q_tokens / query_chunk_size))
     ], dim=1)
     return res
diff --git a/ldm_patched/licenses-3rd/chainer b/ldm_patched/licenses-3rd/chainer
new file mode 100644
index 00000000..db8ef9d9
--- /dev/null
+++ b/ldm_patched/licenses-3rd/chainer
@@ -0,0 +1,20 @@
+Copyright (c) 2015 Preferred Infrastructure, Inc.
+Copyright (c) 2015 Preferred Networks, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
\ No newline at end of file
diff --git a/ldm_patched/licenses-3rd/comfyui b/ldm_patched/licenses-3rd/comfyui
new file mode 100644
index 00000000..e72bfdda
--- /dev/null
+++ b/ldm_patched/licenses-3rd/comfyui
@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
+freedoms that you received.  You must make sure that they, too, receive
+or can get the source code.  And you must show them these terms so they
+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
+authors of previous versions.
+
+  Some devices are designed to deny users access to install or run
+modified versions of the software inside them, although the manufacturer
+can do so.  This is fundamentally incompatible with the aim of
+protecting users' freedom to change the software.  The systematic
+pattern of such abuse occurs in the area of products for individuals to
+use, which is precisely where it is most unacceptable.  Therefore, we
+have designed this version of the GPL to prohibit the practice for those
+products.  If such problems arise substantially in other domains, we
+stand ready to extend this provision to those domains in future versions
+of the GPL, as needed to protect the freedom of users.
+
+  Finally, every program is threatened constantly by software patents.
+States should not allow patents to restrict development and use of
+software on general-purpose computers, but in those that do, we wish to
+avoid the special danger that patents applied to a free program could
+make it effectively proprietary.  To prevent this, the GPL assures that
+patents cannot be used to render the program non-free.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
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+
+  "This License" refers to version 3 of the GNU General Public License.
+
+  "Copyright" also means copyright-like laws that apply to other kinds of
+works, such as semiconductor masks.
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+
+  17. Interpretation of Sections 15 and 16.
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+an absolute waiver of all civil liability in connection with the
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+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
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+  To do so, attach the following notices to the program.  It is safest
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+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
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+    This program is distributed in the hope that it will be useful,
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+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.
\ No newline at end of file
diff --git a/ldm_patched/licenses-3rd/diffusers b/ldm_patched/licenses-3rd/diffusers
new file mode 100644
index 00000000..f49a4e16
--- /dev/null
+++ b/ldm_patched/licenses-3rd/diffusers
@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
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+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
\ No newline at end of file
diff --git a/ldm_patched/licenses-3rd/kdiffusion b/ldm_patched/licenses-3rd/kdiffusion
new file mode 100644
index 00000000..e20684e5
--- /dev/null
+++ b/ldm_patched/licenses-3rd/kdiffusion
@@ -0,0 +1,19 @@
+Copyright (c) 2022 Katherine Crowson
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
\ No newline at end of file
diff --git a/ldm_patched/licenses-3rd/ldm b/ldm_patched/licenses-3rd/ldm
new file mode 100644
index 00000000..1a1c5058
--- /dev/null
+++ b/ldm_patched/licenses-3rd/ldm
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2022 Machine Vision and Learning Group, LMU Munich
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
\ No newline at end of file
diff --git a/ldm_patched/licenses-3rd/taesd b/ldm_patched/licenses-3rd/taesd
new file mode 100644
index 00000000..62e6312e
--- /dev/null
+++ b/ldm_patched/licenses-3rd/taesd
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Ollin Boer Bohan
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
\ No newline at end of file
diff --git a/ldm_patched/licenses-3rd/transformers b/ldm_patched/licenses-3rd/transformers
new file mode 100644
index 00000000..e44d8f5b
--- /dev/null
+++ b/ldm_patched/licenses-3rd/transformers
@@ -0,0 +1,203 @@
+Copyright 2018- The Hugging Face team. All rights reserved.
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
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+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
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+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
\ No newline at end of file
diff --git a/ldm_patched/modules/args_parser.py b/ldm_patched/modules/args_parser.py
index 7ffc4a81..e5b84dc1 100644
--- a/ldm_patched/modules/args_parser.py
+++ b/ldm_patched/modules/args_parser.py
@@ -112,6 +112,8 @@ parser.add_argument("--is-windows-embedded-python", action="store_true")
 
 parser.add_argument("--disable-server-info", action="store_true")
 
+parser.add_argument("--multi-user", action="store_true")
+
 if ldm_patched.modules.options.args_parsing:
     args = parser.parse_args([])
 else:
diff --git a/ldm_patched/modules/clip_model.py b/ldm_patched/modules/clip_model.py
index 4c4588c3..aceca86d 100644
--- a/ldm_patched/modules/clip_model.py
+++ b/ldm_patched/modules/clip_model.py
@@ -57,7 +57,7 @@ class CLIPEncoder(torch.nn.Module):
         self.layers = torch.nn.ModuleList([CLIPLayer(embed_dim, heads, intermediate_size, intermediate_activation, dtype, device, operations) for i in range(num_layers)])
 
     def forward(self, x, mask=None, intermediate_output=None):
-        optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None)
+        optimized_attention = optimized_attention_for_device(x.device, mask=mask is not None, small_input=True)
 
         if intermediate_output is not None:
             if intermediate_output < 0:
diff --git a/ldm_patched/modules/clip_vision.py b/ldm_patched/modules/clip_vision.py
index 9699210d..affdb8b2 100644
--- a/ldm_patched/modules/clip_vision.py
+++ b/ldm_patched/modules/clip_vision.py
@@ -1,7 +1,6 @@
-from .utils import load_torch_file, transformers_convert, common_upscale
+from .utils import load_torch_file, transformers_convert, state_dict_prefix_replace
 import os
 import torch
-import contextlib
 import json
 
 import ldm_patched.modules.ops
@@ -41,9 +40,13 @@ class ClipVisionModel():
         self.model.eval()
 
         self.patcher = ldm_patched.modules.model_patcher.ModelPatcher(self.model, load_device=self.load_device, offload_device=offload_device)
+
     def load_sd(self, sd):
         return self.model.load_state_dict(sd, strict=False)
 
+    def get_sd(self):
+        return self.model.state_dict()
+
     def encode_image(self, image):
         ldm_patched.modules.model_management.load_model_gpu(self.patcher)
         pixel_values = clip_preprocess(image.to(self.load_device)).float()
@@ -76,6 +79,9 @@ def convert_to_transformers(sd, prefix):
             sd['visual_projection.weight'] = sd.pop("{}proj".format(prefix)).transpose(0, 1)
 
         sd = transformers_convert(sd, prefix, "vision_model.", 48)
+    else:
+        replace_prefix = {prefix: ""}
+        sd = state_dict_prefix_replace(sd, replace_prefix)
     return sd
 
 def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
diff --git a/ldm_patched/modules/conds.py b/ldm_patched/modules/conds.py
index a7325680..ed03bd64 100644
--- a/ldm_patched/modules/conds.py
+++ b/ldm_patched/modules/conds.py
@@ -1,4 +1,3 @@
-import enum
 import torch
 import math
 import ldm_patched.modules.utils
diff --git a/ldm_patched/modules/controlnet.py b/ldm_patched/modules/controlnet.py
index a7224660..7e11497f 100644
--- a/ldm_patched/modules/controlnet.py
+++ b/ldm_patched/modules/controlnet.py
@@ -1,7 +1,6 @@
 import torch
 import math
 import os
-import contextlib
 import ldm_patched.modules.utils
 import ldm_patched.modules.model_management
 import ldm_patched.modules.model_detection
@@ -126,7 +125,10 @@ class ControlBase:
                         if o[i] is None:
                             o[i] = prev_val
                         else:
-                            o[i] += prev_val
+                            if o[i].shape[0] < prev_val.shape[0]:
+                                o[i] = prev_val + o[i]
+                            else:
+                                o[i] += prev_val
         return out
 
 class ControlNet(ControlBase):
diff --git a/ldm_patched/modules/diffusers_load.py b/ldm_patched/modules/diffusers_load.py
index 79fbbd55..62edc72b 100644
--- a/ldm_patched/modules/diffusers_load.py
+++ b/ldm_patched/modules/diffusers_load.py
@@ -1,4 +1,3 @@
-import json
 import os
 
 import ldm_patched.modules.sd
diff --git a/ldm_patched/modules/gligen.py b/ldm_patched/modules/gligen.py
index 8dbd5fa4..11f1ee93 100644
--- a/ldm_patched/modules/gligen.py
+++ b/ldm_patched/modules/gligen.py
@@ -1,5 +1,5 @@
 import torch
-from torch import nn, einsum
+from torch import nn
 from ldm_patched.ldm.modules.attention import CrossAttention
 from inspect import isfunction
 
diff --git a/ldm_patched/modules/latent_formats.py b/ldm_patched/modules/latent_formats.py
index c209087e..2252a075 100644
--- a/ldm_patched/modules/latent_formats.py
+++ b/ldm_patched/modules/latent_formats.py
@@ -33,3 +33,7 @@ class SDXL(LatentFormat):
                     [-0.3112, -0.2359, -0.2076]
                 ]
         self.taesd_decoder_name = "taesdxl_decoder"
+
+class SD_X4(LatentFormat):
+    def __init__(self):
+        self.scale_factor = 0.08333
diff --git a/ldm_patched/modules/model_base.py b/ldm_patched/modules/model_base.py
index c04ccb3e..9c69e98b 100644
--- a/ldm_patched/modules/model_base.py
+++ b/ldm_patched/modules/model_base.py
@@ -1,12 +1,11 @@
 import torch
-from ldm_patched.ldm.modules.diffusionmodules.openaimodel import UNetModel
+from ldm_patched.ldm.modules.diffusionmodules.openaimodel import UNetModel, Timestep
 from ldm_patched.ldm.modules.encoders.noise_aug_modules import CLIPEmbeddingNoiseAugmentation
-from ldm_patched.ldm.modules.diffusionmodules.openaimodel import Timestep
+from ldm_patched.ldm.modules.diffusionmodules.upscaling import ImageConcatWithNoiseAugmentation
 import ldm_patched.modules.model_management
 import ldm_patched.modules.conds
 import ldm_patched.modules.ops
 from enum import Enum
-import contextlib
 from . import utils
 
 class ModelType(Enum):
@@ -78,8 +77,9 @@ class BaseModel(torch.nn.Module):
         extra_conds = {}
         for o in kwargs:
             extra = kwargs[o]
-            if hasattr(extra, "to"):
-                extra = extra.to(dtype)
+            if hasattr(extra, "dtype"):
+                if extra.dtype != torch.int and extra.dtype != torch.long:
+                    extra = extra.to(dtype)
             extra_conds[o] = extra
 
         model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
@@ -99,11 +99,29 @@ class BaseModel(torch.nn.Module):
         if self.inpaint_model:
             concat_keys = ("mask", "masked_image")
             cond_concat = []
-            denoise_mask = kwargs.get("denoise_mask", None)
-            latent_image = kwargs.get("latent_image", None)
+            denoise_mask = kwargs.get("concat_mask", kwargs.get("denoise_mask", None))
+            concat_latent_image = kwargs.get("concat_latent_image", None)
+            if concat_latent_image is None:
+                concat_latent_image = kwargs.get("latent_image", None)
+            else:
+                concat_latent_image = self.process_latent_in(concat_latent_image)
+
             noise = kwargs.get("noise", None)
             device = kwargs["device"]
 
+            if concat_latent_image.shape[1:] != noise.shape[1:]:
+                concat_latent_image = utils.common_upscale(concat_latent_image, noise.shape[-1], noise.shape[-2], "bilinear", "center")
+
+            concat_latent_image = utils.resize_to_batch_size(concat_latent_image, noise.shape[0])
+
+            if len(denoise_mask.shape) == len(noise.shape):
+                denoise_mask = denoise_mask[:,:1]
+
+            denoise_mask = denoise_mask.reshape((-1, 1, denoise_mask.shape[-2], denoise_mask.shape[-1]))
+            if denoise_mask.shape[-2:] != noise.shape[-2:]:
+                denoise_mask = utils.common_upscale(denoise_mask, noise.shape[-1], noise.shape[-2], "bilinear", "center")
+            denoise_mask = utils.resize_to_batch_size(denoise_mask.round(), noise.shape[0])
+
             def blank_inpaint_image_like(latent_image):
                 blank_image = torch.ones_like(latent_image)
                 # these are the values for "zero" in pixel space translated to latent space
@@ -116,9 +134,9 @@ class BaseModel(torch.nn.Module):
             for ck in concat_keys:
                 if denoise_mask is not None:
                     if ck == "mask":
-                        cond_concat.append(denoise_mask[:,:1].to(device))
+                        cond_concat.append(denoise_mask.to(device))
                     elif ck == "masked_image":
-                        cond_concat.append(latent_image.to(device)) #NOTE: the latent_image should be masked by the mask in pixel space
+                        cond_concat.append(concat_latent_image.to(device)) #NOTE: the latent_image should be masked by the mask in pixel space
                 else:
                     if ck == "mask":
                         cond_concat.append(torch.ones_like(noise)[:,:1])
@@ -160,19 +178,28 @@ class BaseModel(torch.nn.Module):
     def process_latent_out(self, latent):
         return self.latent_format.process_out(latent)
 
-    def state_dict_for_saving(self, clip_state_dict, vae_state_dict):
-        clip_state_dict = self.model_config.process_clip_state_dict_for_saving(clip_state_dict)
+    def state_dict_for_saving(self, clip_state_dict=None, vae_state_dict=None, clip_vision_state_dict=None):
+        extra_sds = []
+        if clip_state_dict is not None:
+            extra_sds.append(self.model_config.process_clip_state_dict_for_saving(clip_state_dict))
+        if vae_state_dict is not None:
+            extra_sds.append(self.model_config.process_vae_state_dict_for_saving(vae_state_dict))
+        if clip_vision_state_dict is not None:
+            extra_sds.append(self.model_config.process_clip_vision_state_dict_for_saving(clip_vision_state_dict))
+
         unet_state_dict = self.diffusion_model.state_dict()
         unet_state_dict = self.model_config.process_unet_state_dict_for_saving(unet_state_dict)
-        vae_state_dict = self.model_config.process_vae_state_dict_for_saving(vae_state_dict)
+
         if self.get_dtype() == torch.float16:
-            clip_state_dict = utils.convert_sd_to(clip_state_dict, torch.float16)
-            vae_state_dict = utils.convert_sd_to(vae_state_dict, torch.float16)
+            extra_sds = map(lambda sd: utils.convert_sd_to(sd, torch.float16), extra_sds)
 
         if self.model_type == ModelType.V_PREDICTION:
             unet_state_dict["v_pred"] = torch.tensor([])
 
-        return {**unet_state_dict, **vae_state_dict, **clip_state_dict}
+        for sd in extra_sds:
+            unet_state_dict.update(sd)
+
+        return unet_state_dict
 
     def set_inpaint(self):
         self.inpaint_model = True
@@ -191,7 +218,7 @@ class BaseModel(torch.nn.Module):
             return (((area * 0.6) / 0.9) + 1024) * (1024 * 1024)
 
 
-def unclip_adm(unclip_conditioning, device, noise_augmentor, noise_augment_merge=0.0):
+def unclip_adm(unclip_conditioning, device, noise_augmentor, noise_augment_merge=0.0, seed=None):
     adm_inputs = []
     weights = []
     noise_aug = []
@@ -200,7 +227,7 @@ def unclip_adm(unclip_conditioning, device, noise_augmentor, noise_augment_merge
             weight = unclip_cond["strength"]
             noise_augment = unclip_cond["noise_augmentation"]
             noise_level = round((noise_augmentor.max_noise_level - 1) * noise_augment)
-            c_adm, noise_level_emb = noise_augmentor(adm_cond.to(device), noise_level=torch.tensor([noise_level], device=device))
+            c_adm, noise_level_emb = noise_augmentor(adm_cond.to(device), noise_level=torch.tensor([noise_level], device=device), seed=seed)
             adm_out = torch.cat((c_adm, noise_level_emb), 1) * weight
             weights.append(weight)
             noise_aug.append(noise_augment)
@@ -226,11 +253,11 @@ class SD21UNCLIP(BaseModel):
         if unclip_conditioning is None:
             return torch.zeros((1, self.adm_channels))
         else:
-            return unclip_adm(unclip_conditioning, device, self.noise_augmentor, kwargs.get("unclip_noise_augment_merge", 0.05))
+            return unclip_adm(unclip_conditioning, device, self.noise_augmentor, kwargs.get("unclip_noise_augment_merge", 0.05), kwargs.get("seed", 0) - 10)
 
 def sdxl_pooled(args, noise_augmentor):
     if "unclip_conditioning" in args:
-        return unclip_adm(args.get("unclip_conditioning", None), args["device"], noise_augmentor)[:,:1280]
+        return unclip_adm(args.get("unclip_conditioning", None), args["device"], noise_augmentor, seed=args.get("seed", 0) - 10)[:,:1280]
     else:
         return args["pooled_output"]
 
@@ -364,3 +391,35 @@ class Stable_Zero123(BaseModel):
                 cross_attn = self.cc_projection(cross_attn)
             out['c_crossattn'] = ldm_patched.modules.conds.CONDCrossAttn(cross_attn)
         return out
+
+class SD_X4Upscaler(BaseModel):
+    def __init__(self, model_config, model_type=ModelType.V_PREDICTION, device=None):
+        super().__init__(model_config, model_type, device=device)
+        self.noise_augmentor = ImageConcatWithNoiseAugmentation(noise_schedule_config={"linear_start": 0.0001, "linear_end": 0.02}, max_noise_level=350)
+
+    def extra_conds(self, **kwargs):
+        out = {}
+
+        image = kwargs.get("concat_image", None)
+        noise = kwargs.get("noise", None)
+        noise_augment = kwargs.get("noise_augmentation", 0.0)
+        device = kwargs["device"]
+        seed = kwargs["seed"] - 10
+
+        noise_level = round((self.noise_augmentor.max_noise_level) * noise_augment)
+
+        if image is None:
+            image = torch.zeros_like(noise)[:,:3]
+
+        if image.shape[1:] != noise.shape[1:]:
+            image = utils.common_upscale(image.to(device), noise.shape[-1], noise.shape[-2], "bilinear", "center")
+
+        noise_level = torch.tensor([noise_level], device=device)
+        if noise_augment > 0:
+            image, noise_level = self.noise_augmentor(image.to(device), noise_level=noise_level, seed=seed)
+
+        image = utils.resize_to_batch_size(image, noise.shape[0])
+
+        out['c_concat'] = ldm_patched.modules.conds.CONDNoiseShape(image)
+        out['y'] = ldm_patched.modules.conds.CONDRegular(noise_level)
+        return out
diff --git a/ldm_patched/modules/model_detection.py b/ldm_patched/modules/model_detection.py
index e8fc87ac..126386ca 100644
--- a/ldm_patched/modules/model_detection.py
+++ b/ldm_patched/modules/model_detection.py
@@ -34,7 +34,6 @@ def detect_unet_config(state_dict, key_prefix, dtype):
     unet_config = {
         "use_checkpoint": False,
         "image_size": 32,
-        "out_channels": 4,
         "use_spatial_transformer": True,
         "legacy": False
     }
@@ -50,6 +49,12 @@ def detect_unet_config(state_dict, key_prefix, dtype):
     model_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[0]
     in_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[1]
 
+    out_key = '{}out.2.weight'.format(key_prefix)
+    if out_key in state_dict:
+        out_channels = state_dict[out_key].shape[0]
+    else:
+        out_channels = 4
+
     num_res_blocks = []
     channel_mult = []
     attention_resolutions = []
@@ -122,6 +127,7 @@ def detect_unet_config(state_dict, key_prefix, dtype):
         transformer_depth_middle = -1
 
     unet_config["in_channels"] = in_channels
+    unet_config["out_channels"] = out_channels
     unet_config["model_channels"] = model_channels
     unet_config["num_res_blocks"] = num_res_blocks
     unet_config["transformer_depth"] = transformer_depth
diff --git a/ldm_patched/modules/model_management.py b/ldm_patched/modules/model_management.py
index 59f0f3d0..6f88579d 100644
--- a/ldm_patched/modules/model_management.py
+++ b/ldm_patched/modules/model_management.py
@@ -175,7 +175,7 @@ try:
         if int(torch_version[0]) >= 2:
             if ENABLE_PYTORCH_ATTENTION == False and args.attention_split == False and args.attention_quad == False:
                 ENABLE_PYTORCH_ATTENTION = True
-            if torch.cuda.is_bf16_supported():
+            if torch.cuda.is_bf16_supported() and torch.cuda.get_device_properties(torch.cuda.current_device()).major >= 8:
                 VAE_DTYPE = torch.bfloat16
     if is_intel_xpu():
         if args.attention_split == False and args.attention_quad == False:
diff --git a/ldm_patched/modules/model_patcher.py b/ldm_patched/modules/model_patcher.py
index 0945a13c..dd816e52 100644
--- a/ldm_patched/modules/model_patcher.py
+++ b/ldm_patched/modules/model_patcher.py
@@ -174,40 +174,41 @@ class ModelPatcher:
                     sd.pop(k)
         return sd
 
-    def patch_model(self, device_to=None):
+    def patch_model(self, device_to=None, patch_weights=True):
         for k in self.object_patches:
             old = getattr(self.model, k)
             if k not in self.object_patches_backup:
                 self.object_patches_backup[k] = old
             setattr(self.model, k, self.object_patches[k])
 
-        model_sd = self.model_state_dict()
-        for key in self.patches:
-            if key not in model_sd:
-                print("could not patch. key doesn't exist in model:", key)
-                continue
+        if patch_weights:
+            model_sd = self.model_state_dict()
+            for key in self.patches:
+                if key not in model_sd:
+                    print("could not patch. key doesn't exist in model:", key)
+                    continue
 
-            weight = model_sd[key]
+                weight = model_sd[key]
 
-            inplace_update = self.weight_inplace_update
+                inplace_update = self.weight_inplace_update
 
-            if key not in self.backup:
-                self.backup[key] = weight.to(device=self.offload_device, copy=inplace_update)
+                if key not in self.backup:
+                    self.backup[key] = weight.to(device=self.offload_device, copy=inplace_update)
+
+                if device_to is not None:
+                    temp_weight = ldm_patched.modules.model_management.cast_to_device(weight, device_to, torch.float32, copy=True)
+                else:
+                    temp_weight = weight.to(torch.float32, copy=True)
+                out_weight = self.calculate_weight(self.patches[key], temp_weight, key).to(weight.dtype)
+                if inplace_update:
+                    ldm_patched.modules.utils.copy_to_param(self.model, key, out_weight)
+                else:
+                    ldm_patched.modules.utils.set_attr(self.model, key, out_weight)
+                del temp_weight
 
             if device_to is not None:
-                temp_weight = ldm_patched.modules.model_management.cast_to_device(weight, device_to, torch.float32, copy=True)
-            else:
-                temp_weight = weight.to(torch.float32, copy=True)
-            out_weight = self.calculate_weight(self.patches[key], temp_weight, key).to(weight.dtype)
-            if inplace_update:
-                ldm_patched.modules.utils.copy_to_param(self.model, key, out_weight)
-            else:
-                ldm_patched.modules.utils.set_attr(self.model, key, out_weight)
-            del temp_weight
-
-        if device_to is not None:
-            self.model.to(device_to)
-            self.current_device = device_to
+                self.model.to(device_to)
+                self.current_device = device_to
 
         return self.model
 
diff --git a/ldm_patched/modules/ops.py b/ldm_patched/modules/ops.py
index 435aba57..2d7fa377 100644
--- a/ldm_patched/modules/ops.py
+++ b/ldm_patched/modules/ops.py
@@ -1,5 +1,4 @@
 import torch
-from contextlib import contextmanager
 import ldm_patched.modules.model_management
 
 def cast_bias_weight(s, input):
diff --git a/ldm_patched/modules/sample.py b/ldm_patched/modules/sample.py
index b5576cee..0f483950 100644
--- a/ldm_patched/modules/sample.py
+++ b/ldm_patched/modules/sample.py
@@ -28,7 +28,6 @@ def prepare_noise(latent_image, seed, noise_inds=None):
 def prepare_mask(noise_mask, shape, device):
     """ensures noise mask is of proper dimensions"""
     noise_mask = torch.nn.functional.interpolate(noise_mask.reshape((-1, 1, noise_mask.shape[-2], noise_mask.shape[-1])), size=(shape[2], shape[3]), mode="bilinear")
-    noise_mask = noise_mask.round()
     noise_mask = torch.cat([noise_mask] * shape[1], dim=1)
     noise_mask = ldm_patched.modules.utils.repeat_to_batch_size(noise_mask, shape[0])
     noise_mask = noise_mask.to(device)
diff --git a/ldm_patched/modules/samplers.py b/ldm_patched/modules/samplers.py
index fc17ef4d..1f69d2b1 100644
--- a/ldm_patched/modules/samplers.py
+++ b/ldm_patched/modules/samplers.py
@@ -1,13 +1,9 @@
 from ldm_patched.k_diffusion import sampling as k_diffusion_sampling
 from ldm_patched.unipc import uni_pc
 import torch
-import enum
 import collections
 from ldm_patched.modules import model_management
 import math
-from ldm_patched.modules import model_base
-import ldm_patched.modules.utils
-import ldm_patched.modules.conds
 
 def get_area_and_mult(conds, x_in, timestep_in):
     area = (x_in.shape[2], x_in.shape[3], 0, 0)
@@ -603,8 +599,8 @@ def sample(model, noise, positive, negative, cfg, device, sampler, sigmas, model
         latent_image = model.process_latent_in(latent_image)
 
     if hasattr(model, 'extra_conds'):
-        positive = encode_model_conds(model.extra_conds, positive, noise, device, "positive", latent_image=latent_image, denoise_mask=denoise_mask)
-        negative = encode_model_conds(model.extra_conds, negative, noise, device, "negative", latent_image=latent_image, denoise_mask=denoise_mask)
+        positive = encode_model_conds(model.extra_conds, positive, noise, device, "positive", latent_image=latent_image, denoise_mask=denoise_mask, seed=seed)
+        negative = encode_model_conds(model.extra_conds, negative, noise, device, "negative", latent_image=latent_image, denoise_mask=denoise_mask, seed=seed)
 
     #make sure each cond area has an opposite one with the same area
     for c in positive:
@@ -639,7 +635,7 @@ def calculate_sigmas_scheduler(model, scheduler_name, steps):
     elif scheduler_name == "sgm_uniform":
         sigmas = normal_scheduler(model, steps, sgm=True)
     else:
-        print("error invalid scheduler", self.scheduler)
+        print("error invalid scheduler", scheduler_name)
     return sigmas
 
 def sampler_object(name):
diff --git a/ldm_patched/modules/sd.py b/ldm_patched/modules/sd.py
index 3caa92da..e197c39c 100644
--- a/ldm_patched/modules/sd.py
+++ b/ldm_patched/modules/sd.py
@@ -1,9 +1,6 @@
 import torch
-import contextlib
-import math
 
 from ldm_patched.modules import model_management
-from ldm_patched.ldm.util import instantiate_from_config
 from ldm_patched.ldm.models.autoencoder import AutoencoderKL, AutoencodingEngine
 import yaml
 
@@ -157,6 +154,8 @@ class VAE:
 
         self.memory_used_encode = lambda shape, dtype: (1767 * shape[2] * shape[3]) * model_management.dtype_size(dtype) #These are for AutoencoderKL and need tweaking (should be lower)
         self.memory_used_decode = lambda shape, dtype: (2178 * shape[2] * shape[3] * 64) * model_management.dtype_size(dtype)
+        self.downscale_ratio = 8
+        self.latent_channels = 4
 
         if config is None:
             if "decoder.mid.block_1.mix_factor" in sd:
@@ -172,6 +171,11 @@ class VAE:
             else:
                 #default SD1.x/SD2.x VAE parameters
                 ddconfig = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0}
+
+                if 'encoder.down.2.downsample.conv.weight' not in sd: #Stable diffusion x4 upscaler VAE
+                    ddconfig['ch_mult'] = [1, 2, 4]
+                    self.downscale_ratio = 4
+
                 self.first_stage_model = AutoencoderKL(ddconfig=ddconfig, embed_dim=4)
         else:
             self.first_stage_model = AutoencoderKL(**(config['params']))
@@ -204,9 +208,9 @@ class VAE:
 
         decode_fn = lambda a: (self.first_stage_model.decode(a.to(self.vae_dtype).to(self.device)) + 1.0).float()
         output = torch.clamp((
-            (ldm_patched.modules.utils.tiled_scale(samples, decode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = 8, output_device=self.output_device, pbar = pbar) +
-            ldm_patched.modules.utils.tiled_scale(samples, decode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = 8, output_device=self.output_device, pbar = pbar) +
-             ldm_patched.modules.utils.tiled_scale(samples, decode_fn, tile_x, tile_y, overlap, upscale_amount = 8, output_device=self.output_device, pbar = pbar))
+            (ldm_patched.modules.utils.tiled_scale(samples, decode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = self.downscale_ratio, output_device=self.output_device, pbar = pbar) +
+            ldm_patched.modules.utils.tiled_scale(samples, decode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = self.downscale_ratio, output_device=self.output_device, pbar = pbar) +
+             ldm_patched.modules.utils.tiled_scale(samples, decode_fn, tile_x, tile_y, overlap, upscale_amount = self.downscale_ratio, output_device=self.output_device, pbar = pbar))
             / 3.0) / 2.0, min=0.0, max=1.0)
         return output
 
@@ -217,9 +221,9 @@ class VAE:
         pbar = ldm_patched.modules.utils.ProgressBar(steps)
 
         encode_fn = lambda a: self.first_stage_model.encode((2. * a - 1.).to(self.vae_dtype).to(self.device)).float()
-        samples = ldm_patched.modules.utils.tiled_scale(pixel_samples, encode_fn, tile_x, tile_y, overlap, upscale_amount = (1/8), out_channels=4, output_device=self.output_device, pbar=pbar)
-        samples += ldm_patched.modules.utils.tiled_scale(pixel_samples, encode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = (1/8), out_channels=4, output_device=self.output_device, pbar=pbar)
-        samples += ldm_patched.modules.utils.tiled_scale(pixel_samples, encode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = (1/8), out_channels=4, output_device=self.output_device, pbar=pbar)
+        samples = ldm_patched.modules.utils.tiled_scale(pixel_samples, encode_fn, tile_x, tile_y, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar)
+        samples += ldm_patched.modules.utils.tiled_scale(pixel_samples, encode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar)
+        samples += ldm_patched.modules.utils.tiled_scale(pixel_samples, encode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = (1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device, pbar=pbar)
         samples /= 3.0
         return samples
 
@@ -231,7 +235,7 @@ class VAE:
             batch_number = int(free_memory / memory_used)
             batch_number = max(1, batch_number)
 
-            pixel_samples = torch.empty((samples_in.shape[0], 3, round(samples_in.shape[2] * 8), round(samples_in.shape[3] * 8)), device=self.output_device)
+            pixel_samples = torch.empty((samples_in.shape[0], 3, round(samples_in.shape[2] * self.downscale_ratio), round(samples_in.shape[3] * self.downscale_ratio)), device=self.output_device)
             for x in range(0, samples_in.shape[0], batch_number):
                 samples = samples_in[x:x+batch_number].to(self.vae_dtype).to(self.device)
                 pixel_samples[x:x+batch_number] = torch.clamp((self.first_stage_model.decode(samples).to(self.output_device).float() + 1.0) / 2.0, min=0.0, max=1.0)
@@ -255,7 +259,7 @@ class VAE:
             free_memory = model_management.get_free_memory(self.device)
             batch_number = int(free_memory / memory_used)
             batch_number = max(1, batch_number)
-            samples = torch.empty((pixel_samples.shape[0], 4, round(pixel_samples.shape[2] // 8), round(pixel_samples.shape[3] // 8)), device=self.output_device)
+            samples = torch.empty((pixel_samples.shape[0], self.latent_channels, round(pixel_samples.shape[2] // self.downscale_ratio), round(pixel_samples.shape[3] // self.downscale_ratio)), device=self.output_device)
             for x in range(0, pixel_samples.shape[0], batch_number):
                 pixels_in = (2. * pixel_samples[x:x+batch_number] - 1.).to(self.vae_dtype).to(self.device)
                 samples[x:x+batch_number] = self.first_stage_model.encode(pixels_in).to(self.output_device).float()
@@ -527,7 +531,14 @@ def load_unet(unet_path):
         raise RuntimeError("ERROR: Could not detect model type of: {}".format(unet_path))
     return model
 
-def save_checkpoint(output_path, model, clip, vae, metadata=None):
-    model_management.load_models_gpu([model, clip.load_model()])
-    sd = model.model.state_dict_for_saving(clip.get_sd(), vae.get_sd())
+def save_checkpoint(output_path, model, clip=None, vae=None, clip_vision=None, metadata=None):
+    clip_sd = None
+    load_models = [model]
+    if clip is not None:
+        load_models.append(clip.load_model())
+        clip_sd = clip.get_sd()
+
+    model_management.load_models_gpu(load_models)
+    clip_vision_sd = clip_vision.get_sd() if clip_vision is not None else None
+    sd = model.model.state_dict_for_saving(clip_sd, vae.get_sd(), clip_vision_sd)
     ldm_patched.modules.utils.save_torch_file(sd, output_path, metadata=metadata)
diff --git a/ldm_patched/modules/sd1_clip.py b/ldm_patched/modules/sd1_clip.py
index 736d6167..3727fb48 100644
--- a/ldm_patched/modules/sd1_clip.py
+++ b/ldm_patched/modules/sd1_clip.py
@@ -6,7 +6,6 @@ import torch
 import traceback
 import zipfile
 from . import model_management
-import contextlib
 import ldm_patched.modules.clip_model
 import json
 
diff --git a/ldm_patched/modules/supported_models.py b/ldm_patched/modules/supported_models.py
index 251bf6ac..1d442d4d 100644
--- a/ldm_patched/modules/supported_models.py
+++ b/ldm_patched/modules/supported_models.py
@@ -278,6 +278,33 @@ class Stable_Zero123(supported_models_base.BASE):
     def clip_target(self):
         return None
 
+class SD_X4Upscaler(SD20):
+    unet_config = {
+        "context_dim": 1024,
+        "model_channels": 256,
+        'in_channels': 7,
+        "use_linear_in_transformer": True,
+        "adm_in_channels": None,
+        "use_temporal_attention": False,
+    }
 
-models = [Stable_Zero123, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B, Segmind_Vega]
+    unet_extra_config = {
+        "disable_self_attentions": [True, True, True, False],
+        "num_classes": 1000,
+        "num_heads": 8,
+        "num_head_channels": -1,
+    }
+
+    latent_format = latent_formats.SD_X4
+
+    sampling_settings = {
+        "linear_start": 0.0001,
+        "linear_end": 0.02,
+    }
+
+    def get_model(self, state_dict, prefix="", device=None):
+        out = model_base.SD_X4Upscaler(self, device=device)
+        return out
+
+models = [Stable_Zero123, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B, Segmind_Vega, SD_X4Upscaler]
 models += [SVD_img2vid]
diff --git a/ldm_patched/modules/supported_models_base.py b/ldm_patched/modules/supported_models_base.py
index 49087d23..5baf4bca 100644
--- a/ldm_patched/modules/supported_models_base.py
+++ b/ldm_patched/modules/supported_models_base.py
@@ -65,6 +65,12 @@ class BASE:
         replace_prefix = {"": "cond_stage_model."}
         return utils.state_dict_prefix_replace(state_dict, replace_prefix)
 
+    def process_clip_vision_state_dict_for_saving(self, state_dict):
+        replace_prefix = {}
+        if self.clip_vision_prefix is not None:
+            replace_prefix[""] = self.clip_vision_prefix
+        return utils.state_dict_prefix_replace(state_dict, replace_prefix)
+
     def process_unet_state_dict_for_saving(self, state_dict):
         replace_prefix = {"": "model.diffusion_model."}
         return utils.state_dict_prefix_replace(state_dict, replace_prefix)
diff --git a/ldm_patched/utils/path_utils.py b/ldm_patched/utils/path_utils.py
index d21b6485..6cae149b 100644
--- a/ldm_patched/utils/path_utils.py
+++ b/ldm_patched/utils/path_utils.py
@@ -29,11 +29,14 @@ folder_names_and_paths["custom_nodes"] = ([os.path.join(base_path, "custom_nodes
 
 folder_names_and_paths["hypernetworks"] = ([os.path.join(models_dir, "hypernetworks")], supported_pt_extensions)
 
+folder_names_and_paths["photomaker"] = ([os.path.join(models_dir, "photomaker")], supported_pt_extensions)
+
 folder_names_and_paths["classifiers"] = ([os.path.join(models_dir, "classifiers")], {""})
 
 output_directory = os.path.join(os.getcwd(), "output")
 temp_directory = os.path.join(os.getcwd(), "temp")
 input_directory = os.path.join(os.getcwd(), "input")
+user_directory = os.path.join(os.getcwd(), "user")
 
 filename_list_cache = {}
 
@@ -137,15 +140,27 @@ def recursive_search(directory, excluded_dir_names=None):
         excluded_dir_names = []
 
     result = []
-    dirs = {directory: os.path.getmtime(directory)}
+    dirs = {}
+
+    # Attempt to add the initial directory to dirs with error handling
+    try:
+        dirs[directory] = os.path.getmtime(directory)
+    except FileNotFoundError:
+        print(f"Warning: Unable to access {directory}. Skipping this path.")
+        
     for dirpath, subdirs, filenames in os.walk(directory, followlinks=True, topdown=True):
         subdirs[:] = [d for d in subdirs if d not in excluded_dir_names]
         for file_name in filenames:
             relative_path = os.path.relpath(os.path.join(dirpath, file_name), directory)
             result.append(relative_path)
+        
         for d in subdirs:
             path = os.path.join(dirpath, d)
-            dirs[path] = os.path.getmtime(path)
+            try:
+                dirs[path] = os.path.getmtime(path)
+            except FileNotFoundError:
+                print(f"Warning: Unable to access {path}. Skipping this path.")
+                continue
     return result, dirs
 
 def filter_files_extensions(files, extensions):

From 80068a0cd729d6148ac533bf844e1247a0baa9b4 Mon Sep 17 00:00:00 2001
From: rayleichenxi <81690791+rayleichenxi@users.noreply.github.com>
Date: Sat, 27 Jan 2024 20:59:58 +0800
Subject: [PATCH 022/180] [enhance]: use opencv to rewrite
 morphological_open(), achieve a 40x speed increase in morphological_open
 opporation, for inpanting images size smaller than 3k (#2016)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: 雷晨曦 <leichenxi@qiyi.com>
---
 modules/inpaint_worker.py | 27 +++++++++++++++++----------
 1 file changed, 17 insertions(+), 10 deletions(-)

diff --git a/modules/inpaint_worker.py b/modules/inpaint_worker.py
index 88ec39d6..43a7ae23 100644
--- a/modules/inpaint_worker.py
+++ b/modules/inpaint_worker.py
@@ -4,6 +4,7 @@ import numpy as np
 from PIL import Image, ImageFilter
 from modules.util import resample_image, set_image_shape_ceil, get_image_shape_ceil
 from modules.upscaler import perform_upscale
+import cv2
 
 
 inpaint_head_model = None
@@ -28,19 +29,25 @@ def box_blur(x, k):
     return np.array(x)
 
 
-def max33(x):
-    x = Image.fromarray(x)
-    x = x.filter(ImageFilter.MaxFilter(3))
-    return np.array(x)
+def max_filter_opencv(x, ksize=3):
+    # Use OpenCV maximum filter
+    # Make sure the input type is int16
+    return cv2.dilate(x, np.ones((ksize, ksize), dtype=np.int16))
 
 
 def morphological_open(x):
-    x_int32 = np.zeros_like(x).astype(np.int32)
-    x_int32[x > 127] = 256
-    for _ in range(32):
-        maxed = max33(x_int32) - 8
-        x_int32 = np.maximum(maxed, x_int32)
-    return x_int32.clip(0, 255).astype(np.uint8)
+    # Convert array to int16 type via threshold operation
+    x_int16 = np.zeros_like(x, dtype=np.int16)
+    x_int16[x > 127] = 256
+
+    for i in range(32):
+        # Use int16 type to avoid overflow
+        maxed = max_filter_opencv(x_int16, ksize=3) - 8
+        x_int16 = np.maximum(maxed, x_int16)
+
+    # Clip negative values to 0 and convert back to uint8 type
+    x_uint8 = np.clip(x_int16, 0, 255).astype(np.uint8)
+    return x_uint8
 
 
 def up255(x, t=0):

From ff2187efed346a9f1d7b115fe1dc404848193829 Mon Sep 17 00:00:00 2001
From: Hunter-Houts <41592164+Hunter-Houts@users.noreply.github.com>
Date: Sat, 27 Jan 2024 07:01:58 -0600
Subject: [PATCH 023/180] Upgrade requirements_met function (#1955)

* Upgrade requirements_met function

* Removed extra import

* Using Requirements instead of Regex
---
 modules/launch_util.py | 38 +++++++++++++++++---------------------
 1 file changed, 17 insertions(+), 21 deletions(-)

diff --git a/modules/launch_util.py b/modules/launch_util.py
index 00fff8ae..8d92fad0 100644
--- a/modules/launch_util.py
+++ b/modules/launch_util.py
@@ -5,6 +5,11 @@ import subprocess
 import sys
 import re
 import logging
+import importlib.metadata
+import packaging.version
+from packaging.requirements import Requirement
+
+
 
 
 logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR)  # sshh...
@@ -73,35 +78,26 @@ def run_pip(command, desc=None, live=default_command_live):
 
 
 def requirements_met(requirements_file):
-    """
-    Does a simple parse of a requirements.txt file to determine if all rerqirements in it
-    are already installed. Returns True if so, False if not installed or parsing fails.
-    """
-
-    import importlib.metadata
-    import packaging.version
-
     with open(requirements_file, "r", encoding="utf8") as file:
         for line in file:
-            if line.strip() == "":
+            line = line.strip()
+            if line == "" or line.startswith('#'):
                 continue
 
-            m = re.match(re_requirement, line)
-            if m is None:
-                return False
-
-            package = m.group(1).strip()
-            version_required = (m.group(2) or "").strip()
-
-            if version_required == "":
-                continue
+            requirement = Requirement(line)
+            package = requirement.name
 
             try:
                 version_installed = importlib.metadata.version(package)
-            except Exception:
-                return False
+                installed_version = packaging.version.parse(version_installed)
 
-            if packaging.version.parse(version_required) != packaging.version.parse(version_installed):
+                # Check if the installed version satisfies the requirement
+                if installed_version not in requirement.specifier:
+                    print(f"Version mismatch for {package}: Installed version {version_installed} does not meet requirement {requirement}")
+                    return False
+            except Exception as e:
+                print(f"Error checking version for {package}: {e}")
                 return False
 
     return True
+

From 69ad1b3c249b54cd72ba30b92d19f07d06eb1ed9 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sat, 27 Jan 2024 08:05:19 -0800
Subject: [PATCH 024/180] advanced preset load

new model list

i

new candidates

add model fallback

allow disable preset download

Update anime.json

Update anime.json

Update config.py

Update anime.json

Update readme.md

Update default.json
---
 args_manager.py   |  6 +++++
 launch.py         | 59 ++++++++++++++++++++++++++++++-----------------
 modules/config.py | 30 +++++++++++++++---------
 3 files changed, 63 insertions(+), 32 deletions(-)

diff --git a/args_manager.py b/args_manager.py
index e5e76753..eeb38e1f 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -20,6 +20,12 @@ args_parser.parser.add_argument("--disable-image-log", action='store_true',
 args_parser.parser.add_argument("--disable-analytics", action='store_true',
                                 help="Disables analytics for Gradio", default=False)
 
+args_parser.parser.add_argument("--disable-preset-download", action='store_true',
+                                help="Disables downloading models for presets", default=False)
+
+args_parser.parser.add_argument("--always-download-new-model", action='store_true',
+                                help="Always download newer models ", default=False)
+
 args_parser.parser.set_defaults(
     disable_cuda_malloc=True,
     in_browser=True,
diff --git a/launch.py b/launch.py
index e98045f6..9dbd3b6a 100644
--- a/launch.py
+++ b/launch.py
@@ -21,8 +21,7 @@ import fooocus_version
 from build_launcher import build_launcher
 from modules.launch_util import is_installed, run, python, run_pip, requirements_met
 from modules.model_loader import load_file_from_url
-from modules.config import path_checkpoints, path_loras, path_vae_approx, path_fooocus_expansion, \
-    checkpoint_downloads, path_embeddings, embeddings_downloads, lora_downloads
+from modules import config
 
 
 REINSTALL_ALL = False
@@ -70,25 +69,6 @@ vae_approx_filenames = [
 ]
 
 
-def download_models():
-    for file_name, url in checkpoint_downloads.items():
-        load_file_from_url(url=url, model_dir=path_checkpoints, file_name=file_name)
-    for file_name, url in embeddings_downloads.items():
-        load_file_from_url(url=url, model_dir=path_embeddings, file_name=file_name)
-    for file_name, url in lora_downloads.items():
-        load_file_from_url(url=url, model_dir=path_loras, file_name=file_name)
-    for file_name, url in vae_approx_filenames:
-        load_file_from_url(url=url, model_dir=path_vae_approx, file_name=file_name)
-
-    load_file_from_url(
-        url='https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_expansion.bin',
-        model_dir=path_fooocus_expansion,
-        file_name='pytorch_model.bin'
-    )
-
-    return
-
-
 def ini_args():
     from args_manager import args
     return args
@@ -104,6 +84,43 @@ if args.gpu_device_id is not None:
     print("Set device to:", args.gpu_device_id)
 
 
+def download_models():
+    for file_name, url in vae_approx_filenames:
+        load_file_from_url(url=url, model_dir=config.path_vae_approx, file_name=file_name)
+
+    load_file_from_url(
+        url='https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_expansion.bin',
+        model_dir=config.path_fooocus_expansion,
+        file_name='pytorch_model.bin'
+    )
+
+    if args.disable_preset_download:
+        print('Skipped model download.')
+        return
+
+    if not args.always_download_new_model:
+        if not os.path.exists(os.path.join(config.path_checkpoints, config.default_base_model_name)):
+            for alternative_model_name in config.previous_default_models:
+                if os.path.exists(os.path.join(config.path_checkpoints, alternative_model_name)):
+                    print(f'You do not have [{config.default_base_model_name}] but you have [{alternative_model_name}].')
+                    print(f'Fooocus will use [{alternative_model_name}] to avoid downloading new models, '
+                          f'but you are not using latest models.')
+                    print('Use --always-download-new-model to avoid fallback and always get new models.')
+                    config.checkpoint_downloads = {}
+                    config.default_base_model_name = alternative_model_name
+                    break
+
+    for file_name, url in config.checkpoint_downloads.items():
+        load_file_from_url(url=url, model_dir=config.path_checkpoints, file_name=file_name)
+    for file_name, url in config.embeddings_downloads.items():
+        load_file_from_url(url=url, model_dir=config.path_embeddings, file_name=file_name)
+    for file_name, url in config.lora_downloads.items():
+        load_file_from_url(url=url, model_dir=config.path_loras, file_name=file_name)
+
+    return
+
+
 download_models()
 
+
 from webui import *
diff --git a/modules/config.py b/modules/config.py
index c7af33db..7feae8f0 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -79,6 +79,13 @@ def try_load_deprecated_user_path_config():
 
 try_load_deprecated_user_path_config()
 
+try:
+    with open(os.path.abspath(f'./presets/default.json'), "r", encoding="utf-8") as json_file:
+        config_dict.update(json.load(json_file))
+except Exception as e:
+    print(f'Load default preset failed.')
+    print(e)
+
 preset = args_manager.args.preset
 
 if isinstance(preset, str):
@@ -153,9 +160,14 @@ def get_config_item_or_set_default(key, default_value, validator, disable_empty_
 
 default_base_model_name = get_config_item_or_set_default(
     key='default_model',
-    default_value='juggernautXL_version6Rundiffusion.safetensors',
+    default_value='model.safetensors',
     validator=lambda x: isinstance(x, str)
 )
+previous_default_models = get_config_item_or_set_default(
+    key='previous_default_models',
+    default_value=[],
+    validator=lambda x: isinstance(x, list) and all(isinstance(k, str) for k in x)
+)
 default_refiner_model_name = get_config_item_or_set_default(
     key='default_refiner',
     default_value='None',
@@ -163,15 +175,15 @@ default_refiner_model_name = get_config_item_or_set_default(
 )
 default_refiner_switch = get_config_item_or_set_default(
     key='default_refiner_switch',
-    default_value=0.5,
+    default_value=0.8,
     validator=lambda x: isinstance(x, numbers.Number) and 0 <= x <= 1
 )
 default_loras = get_config_item_or_set_default(
     key='default_loras',
     default_value=[
         [
-            "sd_xl_offset_example-lora_1.0.safetensors",
-            0.1
+            "None",
+            1.0
         ],
         [
             "None",
@@ -194,7 +206,7 @@ default_loras = get_config_item_or_set_default(
 )
 default_cfg_scale = get_config_item_or_set_default(
     key='default_cfg_scale',
-    default_value=4.0,
+    default_value=7.0,
     validator=lambda x: isinstance(x, numbers.Number)
 )
 default_sample_sharpness = get_config_item_or_set_default(
@@ -255,16 +267,12 @@ default_image_number = get_config_item_or_set_default(
 )
 checkpoint_downloads = get_config_item_or_set_default(
     key='checkpoint_downloads',
-    default_value={
-        "juggernautXL_version6Rundiffusion.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_version6Rundiffusion.safetensors"
-    },
+    default_value={},
     validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items())
 )
 lora_downloads = get_config_item_or_set_default(
     key='lora_downloads',
-    default_value={
-        "sd_xl_offset_example-lora_1.0.safetensors": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors"
-    },
+    default_value={},
     validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items())
 )
 embeddings_downloads = get_config_item_or_set_default(

From 7b26b292260ac4f1c9acc5a95109e5e3765b9a5c Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sat, 27 Jan 2024 08:08:21 -0800
Subject: [PATCH 025/180] new model list

i

Update readme.md
---
 presets/anime.json     | 30 +++++++++++-------------------
 presets/default.json   | 13 ++++++++++---
 presets/realistic.json |  7 ++++---
 readme.md              | 10 +++++-----
 4 files changed, 30 insertions(+), 30 deletions(-)

diff --git a/presets/anime.json b/presets/anime.json
index 32428a71..c8110955 100644
--- a/presets/anime.json
+++ b/presets/anime.json
@@ -1,11 +1,11 @@
 {
-    "default_model": "bluePencilXL_v050.safetensors",
-    "default_refiner": "DreamShaper_8_pruned.safetensors",
-    "default_refiner_switch": 0.667,
+    "default_model": "animaPencilXL_v100.safetensors",
+    "default_refiner": "None",
+    "default_refiner_switch": 0.5,
     "default_loras": [
         [
-            "sd_xl_offset_example-lora_1.0.safetensors",
-            0.5
+            "None",
+            1.0
         ],
         [
             "None",
@@ -30,24 +30,16 @@
     "default_scheduler": "karras",
     "default_performance": "Speed",
     "default_prompt": "1girl, ",
-    "default_prompt_negative": "(embedding:unaestheticXLv31:0.8), low quality, watermark",
+    "default_prompt_negative": "",
     "default_styles": [
         "Fooocus V2",
-        "Fooocus Masterpiece",
-        "SAI Anime",
-        "SAI Digital Art",
-        "SAI Enhance",
-        "SAI Fantasy Art"
+        "Fooocus Negative",
+        "Fooocus Masterpiece"
     ],
     "default_aspect_ratio": "896*1152",
     "checkpoint_downloads": {
-        "bluePencilXL_v050.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/bluePencilXL_v050.safetensors",
-        "DreamShaper_8_pruned.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/DreamShaper_8_pruned.safetensors"
+        "animaPencilXL_v100.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/animaPencilXL_v100.safetensors"
     },
-    "embeddings_downloads": {
-        "unaestheticXLv31.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/unaestheticXLv31.safetensors"
-    },
-    "lora_downloads": {
-        "sd_xl_offset_example-lora_1.0.safetensors": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors"
-    }
+    "embeddings_downloads": {},
+    "lora_downloads": {}
 }
\ No newline at end of file
diff --git a/presets/default.json b/presets/default.json
index bc014035..7930c92f 100644
--- a/presets/default.json
+++ b/presets/default.json
@@ -1,5 +1,5 @@
 {
-    "default_model": "juggernautXL_version6Rundiffusion.safetensors",
+    "default_model": "juggernautXL_v8Rundiffusion.safetensors",
     "default_refiner": "None",
     "default_refiner_switch": 0.5,
     "default_loras": [
@@ -38,10 +38,17 @@
     ],
     "default_aspect_ratio": "1152*896",
     "checkpoint_downloads": {
-        "juggernautXL_version6Rundiffusion.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_version6Rundiffusion.safetensors"
+        "juggernautXL_v8Rundiffusion.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_v8Rundiffusion.safetensors"
     },
     "embeddings_downloads": {},
     "lora_downloads": {
         "sd_xl_offset_example-lora_1.0.safetensors": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors"
-    }
+    },
+    "previous_default_models": [
+        "juggernautXL_version8Rundiffusion.safetensors",
+        "juggernautXL_version7Rundiffusion.safetensors",
+        "juggernautXL_v7Rundiffusion.safetensors",
+        "juggernautXL_version6Rundiffusion.safetensors",
+        "juggernautXL_v6Rundiffusion.safetensors"
+    ]
 }
\ No newline at end of file
diff --git a/presets/realistic.json b/presets/realistic.json
index ed625d45..7799c96a 100644
--- a/presets/realistic.json
+++ b/presets/realistic.json
@@ -1,5 +1,5 @@
 {
-    "default_model": "realisticStockPhoto_v10.safetensors",
+    "default_model": "realisticStockPhoto_v20.safetensors",
     "default_refiner": "",
     "default_refiner_switch": 0.5,
     "default_loras": [
@@ -38,10 +38,11 @@
     ],
     "default_aspect_ratio": "896*1152",
     "checkpoint_downloads": {
-        "realisticStockPhoto_v10.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/realisticStockPhoto_v10.safetensors"
+        "realisticStockPhoto_v20.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/realisticStockPhoto_v20.safetensors"
     },
     "embeddings_downloads": {},
     "lora_downloads": {
         "SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors"
-    }
+    },
+    "previous_default_models": ["realisticStockPhoto_v10.safetensors"]
 }
\ No newline at end of file
diff --git a/readme.md b/readme.md
index 87c44b83..3536b2af 100644
--- a/readme.md
+++ b/readme.md
@@ -273,11 +273,11 @@ See the common problems [here](troubleshoot.md).
 
 Given different goals, the default models and configs of Fooocus are different:
 
-| Task | Windows | Linux args | Main Model | Refiner | Config |
-| --- | --- | --- | --- | --- | --- |
-| General | run.bat |  | [juggernautXL v6_RunDiffusion](https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_version6Rundiffusion.safetensors) | not used | [here](https://github.com/lllyasviel/Fooocus/blob/main/modules/path.py) |
-| Realistic | run_realistic.bat | --preset realistic | [realistic_stock_photo](https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/realisticStockPhoto_v10.safetensors) | not used | [here](https://github.com/lllyasviel/Fooocus/blob/main/presets/realistic.json) |
-| Anime | run_anime.bat | --preset anime | [bluepencil_v50](https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/bluePencilXL_v050.safetensors) | [dreamsharper_v8](https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/DreamShaper_8_pruned.safetensors) (SD1.5) | [here](https://github.com/lllyasviel/Fooocus/blob/main/presets/anime.json) |
+| Task | Windows | Linux args | Main Model | Refiner | Config                                                                         |
+| --- | --- | --- | --- | --- |--------------------------------------------------------------------------------|
+| General | run.bat |  | juggernautXL_v8Rundiffusion | not used | [here](https://github.com/lllyasviel/Fooocus/blob/main/presets/default.json)   |
+| Realistic | run_realistic.bat | --preset realistic | realisticStockPhoto_v20 | not used | [here](https://github.com/lllyasviel/Fooocus/blob/main/presets/realistic.json) |
+| Anime | run_anime.bat | --preset anime | animaPencilXL_v100 | not used | [here](https://github.com/lllyasviel/Fooocus/blob/main/presets/anime.json)     |
 
 Note that the download is **automatic** - you do not need to do anything if the internet connection is okay. However, you can download them manually if you (or move them from somewhere else) have your own preparation.
 

From 79afb3a619c2ec2a1d4f83e6617b269e66803202 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sat, 27 Jan 2024 08:31:25 -0800
Subject: [PATCH 026/180] version

version

Update fooocus_version.py
---
 fooocus_version.py | 2 +-
 update_log.md      | 6 +++++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index efe3b925..ff5a8830 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.862'
+version = '2.1.864'
diff --git a/update_log.md b/update_log.md
index 1e8914d1..e052d24c 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,7 +1,11 @@
-**(2023 Dec 21) Hi all, the feature updating of Fooocus will be paused for about two or three weeks because we have some other workloads. See you soon and we will come back in mid or late Jan. However, you may still see updates if other collaborators are fixing bugs or solving problems.**
+# 2.1.864
+
+* New model list. See also discussions.
 
 # 2.1.861 (requested update)
 
+(2023 Dec 21) Hi all, the feature updating of Fooocus will be paused for about two or three weeks because we have some other workloads. See you soon and we will come back in mid or late Jan. However, you may still see updates if other collaborators are fixing bugs or solving problems.
+
 * Show image preview in Style when mouse hover.
 
 # 2.1.860 (requested update)

From 0cb2db9c412582ffd6493654aaebaf76842ad118 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sat, 27 Jan 2024 09:00:46 -0800
Subject: [PATCH 027/180] Update readme.md

---
 readme.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/readme.md b/readme.md
index 3536b2af..77653816 100644
--- a/readme.md
+++ b/readme.md
@@ -5,7 +5,7 @@
 
 without any parameter tweaking, without any strange prompt tags. 
 
-See also **non-cherry-picked** generalization and diversity tests [here](https://github.com/lllyasviel/Fooocus/discussions/808) and [here](https://github.com/lllyasviel/Fooocus/discussions/679) and [here](https://github.com/lllyasviel/Fooocus/discussions/679#realistic).
+See also **non-cherry-picked** generalization and diversity tests [here](https://github.com/lllyasviel/Fooocus/discussions/2067) and [here](https://github.com/lllyasviel/Fooocus/discussions/808) and [here](https://github.com/lllyasviel/Fooocus/discussions/679) and [here](https://github.com/lllyasviel/Fooocus/discussions/679#realistic).
 
 In the entire open source community, only Fooocus can achieve this level of **non-cherry-picked** quality.
 

From 31fc99d2bc844bccfe6d9254a7901c9a32e2e738 Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sat, 27 Jan 2024 09:07:30 -0800
Subject: [PATCH 028/180] fix (#2069)

---
 presets/anime.json |  3 ++-
 presets/lcm.json   | 13 ++++++++++---
 presets/sai.json   |  3 ++-
 3 files changed, 14 insertions(+), 5 deletions(-)

diff --git a/presets/anime.json b/presets/anime.json
index c8110955..8bd2813b 100644
--- a/presets/anime.json
+++ b/presets/anime.json
@@ -41,5 +41,6 @@
         "animaPencilXL_v100.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/animaPencilXL_v100.safetensors"
     },
     "embeddings_downloads": {},
-    "lora_downloads": {}
+    "lora_downloads": {},
+    "previous_default_models": []
 }
\ No newline at end of file
diff --git a/presets/lcm.json b/presets/lcm.json
index 8822172d..3897f881 100644
--- a/presets/lcm.json
+++ b/presets/lcm.json
@@ -1,5 +1,5 @@
 {
-    "default_model": "juggernautXL_version6Rundiffusion.safetensors",
+    "default_model": "juggernautXL_v8Rundiffusion.safetensors",
     "default_refiner": "None",
     "default_refiner_switch": 0.5,
     "default_loras": [
@@ -38,8 +38,15 @@
     ],
     "default_aspect_ratio": "1152*896",
     "checkpoint_downloads": {
-        "juggernautXL_version6Rundiffusion.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_version6Rundiffusion.safetensors"
+        "juggernautXL_v8Rundiffusion.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_v8Rundiffusion.safetensors"
     },
     "embeddings_downloads": {},
-    "lora_downloads": {}
+    "lora_downloads": {},
+    "previous_default_models": [
+        "juggernautXL_version8Rundiffusion.safetensors",
+        "juggernautXL_version7Rundiffusion.safetensors",
+        "juggernautXL_v7Rundiffusion.safetensors",
+        "juggernautXL_version6Rundiffusion.safetensors",
+        "juggernautXL_v6Rundiffusion.safetensors"
+    ]
 }
\ No newline at end of file
diff --git a/presets/sai.json b/presets/sai.json
index ac9c17d1..fecf047b 100644
--- a/presets/sai.json
+++ b/presets/sai.json
@@ -43,5 +43,6 @@
     "embeddings_downloads": {},
     "lora_downloads": {
         "sd_xl_offset_example-lora_1.0.safetensors": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors"
-    }
+    },
+    "previous_default_models": []
 }
\ No newline at end of file

From 1bcbd6501bb3e5db5674a18a8a8074034cda318b Mon Sep 17 00:00:00 2001
From: lllyasviel <lyuminzhang@outlook.com>
Date: Sat, 27 Jan 2024 16:18:26 -0800
Subject: [PATCH 029/180] fix config

---
 modules/config.py | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index 7feae8f0..58107806 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -16,10 +16,17 @@ config_dict = {}
 always_save_keys = []
 visited_keys = []
 
+try:
+    with open(os.path.abspath(f'./presets/default.json'), "r", encoding="utf-8") as json_file:
+        config_dict.update(json.load(json_file))
+except Exception as e:
+    print(f'Load default preset failed.')
+    print(e)
+
 try:
     if os.path.exists(config_path):
         with open(config_path, "r", encoding="utf-8") as json_file:
-            config_dict = json.load(json_file)
+            config_dict.update(json.load(json_file))
             always_save_keys = list(config_dict.keys())
 except Exception as e:
     print(f'Failed to load config file "{config_path}" . The reason is: {str(e)}')
@@ -79,13 +86,6 @@ def try_load_deprecated_user_path_config():
 
 try_load_deprecated_user_path_config()
 
-try:
-    with open(os.path.abspath(f'./presets/default.json'), "r", encoding="utf-8") as json_file:
-        config_dict.update(json.load(json_file))
-except Exception as e:
-    print(f'Load default preset failed.')
-    print(e)
-
 preset = args_manager.args.preset
 
 if isinstance(preset, str):

From 71eb040afceb539005de7dff8c1c3c729640dc46 Mon Sep 17 00:00:00 2001
From: Justin Dhillon <justin.singh.dhillon@gmail.com>
Date: Sat, 10 Feb 2024 08:36:56 -0800
Subject: [PATCH 030/180] Fix broken links (#2217)

* https://github.com/rlaphoenix/VSGAN/blob/master/vsgan/archs/esrgan.py

* https://github.com/huggingface/pytorch-image-models/blob/main/timm/layers/drop.py

* https://kornia.readthedocs.io/en/latest/
---
 ldm_patched/contrib/external_canny.py | 6 +++---
 ldm_patched/pfn/architecture/HAT.py   | 4 ++--
 ldm_patched/pfn/architecture/RRDB.py  | 2 +-
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/ldm_patched/contrib/external_canny.py b/ldm_patched/contrib/external_canny.py
index 42c22210..7347ba1e 100644
--- a/ldm_patched/contrib/external_canny.py
+++ b/ldm_patched/contrib/external_canny.py
@@ -78,7 +78,7 @@ def spatial_gradient(input, normalized: bool = True):
     Return:
         the derivatives of the input feature map. with shape :math:`(B, C, 2, H, W)`.
     .. note::
-       See a working example `here <https://kornia-tutorials.readthedocs.io/en/latest/
+       See a working example `here <https://kornia.readthedocs.io/en/latest/
        filtering_edges.html>`__.
     Examples:
         >>> input = torch.rand(1, 3, 4, 4)
@@ -120,7 +120,7 @@ def rgb_to_grayscale(image, rgb_weights = None):
         grayscale version of the image with shape :math:`(*,1,H,W)`.
 
     .. note::
-       See a working example `here <https://kornia-tutorials.readthedocs.io/en/latest/
+       See a working example `here <https://kornia.readthedocs.io/en/latest/
        color_conversions.html>`__.
 
     Example:
@@ -176,7 +176,7 @@ def canny(
         - the canny edge magnitudes map, shape of :math:`(B,1,H,W)`.
         - the canny edge detection filtered by thresholds and hysteresis, shape of :math:`(B,1,H,W)`.
     .. note::
-       See a working example `here <https://kornia-tutorials.readthedocs.io/en/latest/
+       See a working example `here <https://kornia.readthedocs.io/en/latest/
        canny.html>`__.
     Example:
         >>> input = torch.rand(5, 3, 4, 4)
diff --git a/ldm_patched/pfn/architecture/HAT.py b/ldm_patched/pfn/architecture/HAT.py
index 66947421..7e12ad0f 100644
--- a/ldm_patched/pfn/architecture/HAT.py
+++ b/ldm_patched/pfn/architecture/HAT.py
@@ -14,7 +14,7 @@ from .timm.weight_init import trunc_normal_
 
 def drop_path(x, drop_prob: float = 0.0, training: bool = False):
     """Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
-    From: https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/layers/drop.py
+    From: https://github.com/huggingface/pytorch-image-models/blob/main/timm/layers/drop.py
     """
     if drop_prob == 0.0 or not training:
         return x
@@ -30,7 +30,7 @@ def drop_path(x, drop_prob: float = 0.0, training: bool = False):
 
 class DropPath(nn.Module):
     """Drop paths (Stochastic Depth) per sample  (when applied in main path of residual blocks).
-    From: https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/layers/drop.py
+    From: https://github.com/huggingface/pytorch-image-models/blob/main/timm/layers/drop.py
     """
 
     def __init__(self, drop_prob=None):
diff --git a/ldm_patched/pfn/architecture/RRDB.py b/ldm_patched/pfn/architecture/RRDB.py
index b50db7c2..8d318b90 100644
--- a/ldm_patched/pfn/architecture/RRDB.py
+++ b/ldm_patched/pfn/architecture/RRDB.py
@@ -13,7 +13,7 @@ import torch.nn.functional as F
 from . import block as B
 
 
-# Borrowed from https://github.com/rlaphoenix/VSGAN/blob/master/vsgan/archs/ESRGAN.py
+# Borrowed from https://github.com/rlaphoenix/VSGAN/blob/master/vsgan/archs/esrgan.py
 # Which enhanced stuff that was already here
 class RRDBNet(nn.Module):
     def __init__(

From fdc4dc1d8793e71a43c89e75e73f3e050d3dd308 Mon Sep 17 00:00:00 2001
From: rsl8 <138326583+rsl8@users.noreply.github.com>
Date: Sat, 10 Feb 2024 17:42:30 +0100
Subject: [PATCH 031/180] delay importing of modules.config (#2195)

---
 launch.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/launch.py b/launch.py
index 9dbd3b6a..36fad9e0 100644
--- a/launch.py
+++ b/launch.py
@@ -21,7 +21,6 @@ import fooocus_version
 from build_launcher import build_launcher
 from modules.launch_util import is_installed, run, python, run_pip, requirements_met
 from modules.model_loader import load_file_from_url
-from modules import config
 
 
 REINSTALL_ALL = False
@@ -84,6 +83,8 @@ if args.gpu_device_id is not None:
     print("Set device to:", args.gpu_device_id)
 
 
+from modules import config
+
 def download_models():
     for file_name, url in vae_approx_filenames:
         load_file_from_url(url=url, model_dir=config.path_vae_approx, file_name=file_name)

From d1a450c581490d66fa0238c6ac69d9f020054df8 Mon Sep 17 00:00:00 2001
From: V1sionVerse <155375712+V1sionVerse@users.noreply.github.com>
Date: Sat, 10 Feb 2024 17:50:41 +0100
Subject: [PATCH 032/180] Fixed mistakes in HTML generation (#2187)

Added <!DOCTYPE html> declaration
<img/> instead of <img></img>
<br/> instead of </br>
---
 modules/private_logger.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/modules/private_logger.py b/modules/private_logger.py
index 968bd4f5..49f17dca 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -68,7 +68,7 @@ def log(img, dic):
         </script>"""
     )
 
-    begin_part = f"<html><head><title>Fooocus Log {date_string}</title>{css_styles}</head><body>{js}<p>Fooocus Log {date_string} (private)</p>\n<p>All images are clean, without any hidden data/meta, and safe to share with others.</p><!--fooocus-log-split-->\n\n"
+    begin_part = f"<!DOCTYPE html><html><head><title>Fooocus Log {date_string}</title>{css_styles}</head><body>{js}<p>Fooocus Log {date_string} (private)</p>\n<p>All images are clean, without any hidden data/meta, and safe to share with others.</p><!--fooocus-log-split-->\n\n"
     end_part = f'\n<!--fooocus-log-split--></body></html>'
 
     middle_part = log_cache.get(html_name, "")
@@ -83,15 +83,15 @@ def log(img, dic):
 
     div_name = only_name.replace('.', '_')
     item = f"<div id=\"{div_name}\" class=\"image-container\"><hr><table><tr>\n"
-    item += f"<td><a href=\"{only_name}\" target=\"_blank\"><img src='{only_name}' onerror=\"this.closest('.image-container').style.display='none';\" loading='lazy'></img></a><div>{only_name}</div></td>"
+    item += f"<td><a href=\"{only_name}\" target=\"_blank\"><img src='{only_name}' onerror=\"this.closest('.image-container').style.display='none';\" loading='lazy'/></a><div>{only_name}</div></td>"
     item += "<td><table class='metadata'>"
     for key, value in dic:
-        value_txt = str(value).replace('\n', ' </br> ')
+        value_txt = str(value).replace('\n', ' <br/> ')
         item += f"<tr><td class='key'>{key}</td><td class='value'>{value_txt}</td></tr>\n"
     item += "</table>"
 
     js_txt = urllib.parse.quote(json.dumps({k: v for k, v in dic}, indent=0), safe='')
-    item += f"</br><button onclick=\"to_clipboard('{js_txt}')\">Copy to Clipboard</button>"
+    item += f"<br/><button onclick=\"to_clipboard('{js_txt}')\">Copy to Clipboard</button>"
 
     item += "</td>"
     item += "</tr></table></div>\n\n"

From 95f93a1f4bc32bc6d114fe3c314b3f69da207d5a Mon Sep 17 00:00:00 2001
From: rsl8 <138326583+rsl8@users.noreply.github.com>
Date: Sat, 10 Feb 2024 17:42:30 +0100
Subject: [PATCH 033/180] delay importing of modules.config (#2195)

---
 launch.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/launch.py b/launch.py
index 9dbd3b6a..36fad9e0 100644
--- a/launch.py
+++ b/launch.py
@@ -21,7 +21,6 @@ import fooocus_version
 from build_launcher import build_launcher
 from modules.launch_util import is_installed, run, python, run_pip, requirements_met
 from modules.model_loader import load_file_from_url
-from modules import config
 
 
 REINSTALL_ALL = False
@@ -84,6 +83,8 @@ if args.gpu_device_id is not None:
     print("Set device to:", args.gpu_device_id)
 
 
+from modules import config
+
 def download_models():
     for file_name, url in vae_approx_filenames:
         load_file_from_url(url=url, model_dir=config.path_vae_approx, file_name=file_name)

From ac10e51364054a849251d6f09b8007842a33f054 Mon Sep 17 00:00:00 2001
From: Roman Schmitz <Schm1tz1@users.noreply.github.com>
Date: Sat, 10 Feb 2024 18:10:54 +0100
Subject: [PATCH 034/180] add auth to --listen and readme (#2127)

* Update webui.py

* Update readme.md

* Update webui.py

Only enable AuthN for --listen and --share

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* docs: rephrase documentation changes for auth

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 readme.md | 7 +++++++
 webui.py  | 2 +-
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/readme.md b/readme.md
index 77653816..7310cff4 100644
--- a/readme.md
+++ b/readme.md
@@ -281,6 +281,13 @@ Given different goals, the default models and configs of Fooocus are different:
 
 Note that the download is **automatic** - you do not need to do anything if the internet connection is okay. However, you can download them manually if you (or move them from somewhere else) have your own preparation.
 
+## UI Access and Authentication
+In addition to running on localhost, Fooocus can also expose its UI in two ways: 
+* Local UI listener: use `--listen` (specify port e.g. with `--port 8888`). 
+* API access: use `--share` (registers an endpoint at `.gradio.live`).
+
+In both ways the access is unauthenticated by default. You can add basic authentication by creating a file called `auth.json` in the main directory, which contains a list of JSON objects with the keys `user` and `pass` (see example in [auth-example.json](./auth-example.json)).
+
 ## List of "Hidden" Tricks
 <a name="tech_list"></a>
 
diff --git a/webui.py b/webui.py
index fadd852a..a3de1498 100644
--- a/webui.py
+++ b/webui.py
@@ -618,6 +618,6 @@ shared.gradio_root.launch(
     server_name=args_manager.args.listen,
     server_port=args_manager.args.port,
     share=args_manager.args.share,
-    auth=check_auth if args_manager.args.share and auth_enabled else None,
+    auth=check_auth if (args_manager.args.share or args_manager.args.listen) and auth_enabled else None,
     blocked_paths=[constants.AUTH_FILENAME]
 )

From b7715b0a0cf3f2b4bfceaf5f4b7aad0df928a28a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 10 Feb 2024 18:33:28 +0100
Subject: [PATCH 035/180] fix: prevents outdated history log link after
 midnight (#1979)

* feat: update history link date after each generation

prevents outdated date in link after midnight

* delay importing of modules.config (#2195)

* fix: disable queue for initial queue loading

---------

Co-authored-by: rsl8 <138326583+rsl8@users.noreply.github.com>
---
 webui.py | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/webui.py b/webui.py
index a3de1498..b9b620d2 100644
--- a/webui.py
+++ b/webui.py
@@ -255,8 +255,14 @@ with shared.gradio_root:
                 seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed],
                                    queue=False, show_progress=False)
 
-                if not args_manager.args.disable_image_log:
-                    gr.HTML(f'<a href="file={get_current_html_path()}" target="_blank">\U0001F4DA History Log</a>')
+                def update_history_link():
+                    if args_manager.args.disable_image_log:
+                        return gr.update(value='')
+                    
+                    return gr.update(value=f'<a href="file={get_current_html_path()}" target="_blank">\U0001F4DA History Log</a>')
+
+                history_link = gr.HTML()
+                shared.gradio_root.load(update_history_link, outputs=history_link, queue=False, show_progress=False)
 
             with gr.Tab(label='Style'):
                 style_sorter.try_load_sorted_styles(
@@ -586,6 +592,7 @@ with shared.gradio_root:
             .then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, progress_gallery, gallery]) \
             .then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), gr.update(visible=False, interactive=False), False),
                   outputs=[generate_button, stop_button, skip_button, state_is_generating]) \
+            .then(fn=update_history_link, outputs=history_link) \
             .then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed')
 
         for notification_file in ['notification.ogg', 'notification.mp3']:

From e4929a9ed79f8d461b387f8b013b23ad23f3cb90 Mon Sep 17 00:00:00 2001
From: rsl8 <138326583+rsl8@users.noreply.github.com>
Date: Sat, 10 Feb 2024 18:42:18 +0100
Subject: [PATCH 036/180] fix: do not overwrite $GRADIO_SERVER_PORT if it is
 already set (#1921)

---
 launch.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/launch.py b/launch.py
index 36fad9e0..db174f54 100644
--- a/launch.py
+++ b/launch.py
@@ -10,7 +10,8 @@ os.chdir(root)
 
 os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
 os.environ["PYTORCH_MPS_HIGH_WATERMARK_RATIO"] = "0.0"
-os.environ["GRADIO_SERVER_PORT"] = "7865"
+if "GRADIO_SERVER_PORT" not in os.environ:
+    os.environ["GRADIO_SERVER_PORT"] = "7865"
 
 ssl._create_default_https_context = ssl._create_unverified_context
 

From 231956065ff88da523c3472c7228a0072cffed70 Mon Sep 17 00:00:00 2001
From: "Dr. Christoph Mittendorf"
 <34183942+Cassini-chris@users.noreply.github.com>
Date: Sat, 10 Feb 2024 18:51:03 +0100
Subject: [PATCH 037/180] Removing unnecessary comments / old code (#1905)

---
 javascript/contextMenus.js | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/javascript/contextMenus.js b/javascript/contextMenus.js
index 2f32af1b..7494674d 100644
--- a/javascript/contextMenus.js
+++ b/javascript/contextMenus.js
@@ -154,12 +154,8 @@ let cancelGenerateForever = function() {
     let generateOnRepeatForButtons = function() {
         generateOnRepeat('#generate_button', '#stop_button');
     };
-
     appendContextMenuOption('#generate_button', 'Generate forever', generateOnRepeatForButtons);
-//    appendContextMenuOption('#stop_button', 'Generate forever', generateOnRepeatForButtons);
 
-//    appendContextMenuOption('#stop_button', 'Cancel generate forever', cancelGenerateForever);
-//    appendContextMenuOption('#generate_button', 'Cancel generate forever', cancelGenerateForever);
 })();
 //End example Context Menu Items
 

From 98ba1d5d475fa04bc37c88a09e7eb8f47f2cc68a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 10 Feb 2024 19:03:26 +0100
Subject: [PATCH 038/180] fix: correctly sort files, display deepest dir level
 first (#1784)

---
 modules/util.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/modules/util.py b/modules/util.py
index 052b746b..de9bd5b9 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -164,14 +164,14 @@ def get_files_from_folder(folder_path, exensions=None, name_filter=None):
 
     filenames = []
 
-    for root, dirs, files in os.walk(folder_path):
+    for root, dirs, files in os.walk(folder_path, topdown=False):
         relative_path = os.path.relpath(root, folder_path)
         if relative_path == ".":
             relative_path = ""
-        for filename in files:
+        for filename in sorted(files):
             _, file_extension = os.path.splitext(filename)
             if (exensions == None or file_extension.lower() in exensions) and (name_filter == None or name_filter in _):
                 path = os.path.join(relative_path, filename)
                 filenames.append(path)
 
-    return sorted(filenames, key=lambda x: -1 if os.sep in x else 1)
+    return filenames

From c32b9bdc44e8955947ba66fce4e9dfd2e1e6f259 Mon Sep 17 00:00:00 2001
From: Evgenii <ekublin@gmail.com>
Date: Sat, 10 Feb 2024 21:15:10 +0300
Subject: [PATCH 039/180] fix: replace regexp to support unicode chars (#1424)

---
 modules/launch_util.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/launch_util.py b/modules/launch_util.py
index 8d92fad0..b483d515 100644
--- a/modules/launch_util.py
+++ b/modules/launch_util.py
@@ -15,7 +15,7 @@ from packaging.requirements import Requirement
 logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR)  # sshh...
 logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
 
-re_requirement = re.compile(r"\s*([-_a-zA-Z0-9]+)\s*(?:==\s*([-+_.a-zA-Z0-9]+))?\s*")
+re_requirement = re.compile(r"\s*([-\w]+)\s*(?:==\s*([-+.\w]+))?\s*")
 
 python = sys.executable
 default_command_live = (os.environ.get('LAUNCH_LIVE_OUTPUT') == "1")

From b9d7e77b0df97e54f7cb9670d6257ffc09b65ada Mon Sep 17 00:00:00 2001
From: Praveen Kumar Sridhar
 <69740366+PraveenKumarSridhar@users.noreply.github.com>
Date: Sat, 10 Feb 2024 10:28:10 -0800
Subject: [PATCH 040/180] replaced the custom lcm function with math.lcm
 (#1122)

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 ldm_patched/modules/conds.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/ldm_patched/modules/conds.py b/ldm_patched/modules/conds.py
index ed03bd64..0ee184bc 100644
--- a/ldm_patched/modules/conds.py
+++ b/ldm_patched/modules/conds.py
@@ -3,8 +3,6 @@ import math
 import ldm_patched.modules.utils
 
 
-def lcm(a, b): #TODO: eventually replace by math.lcm (added in python3.9)
-    return abs(a*b) // math.gcd(a, b)
 
 class CONDRegular:
     def __init__(self, cond):
@@ -41,7 +39,7 @@ class CONDCrossAttn(CONDRegular):
             if s1[0] != s2[0] or s1[2] != s2[2]: #these 2 cases should not happen
                 return False
 
-            mult_min = lcm(s1[1], s2[1])
+            mult_min = math.lcm(s1[1], s2[1])
             diff = mult_min // min(s1[1], s2[1])
             if diff > 4: #arbitrary limit on the padding because it's probably going to impact performance negatively if it's too much
                 return False
@@ -52,7 +50,7 @@ class CONDCrossAttn(CONDRegular):
         crossattn_max_len = self.cond.shape[1]
         for x in others:
             c = x.cond
-            crossattn_max_len = lcm(crossattn_max_len, c.shape[1])
+            crossattn_max_len = math.lcm(crossattn_max_len, c.shape[1])
             conds.append(c)
 
         out = []

From eb3f4d745c5d8736d5f22cacfabd9856909ab00f Mon Sep 17 00:00:00 2001
From: hisk2323 <114307999+hisk2323@users.noreply.github.com>
Date: Sat, 10 Feb 2024 14:39:36 -0600
Subject: [PATCH 041/180] feat: add suffix ordinals (#845)

* add suffix ordinals with lambda

* delay importing of modules.config (#2195)

* refactor: use easier to read version to find matching ordinal suffix

---------

Co-authored-by: rsl8 <138326583+rsl8@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
---
 modules/async_worker.py | 5 ++---
 modules/util.py         | 4 ++++
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index b2af6712..67c2e707 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -40,7 +40,7 @@ def worker():
     from modules.private_logger import log
     from extras.expansion import safe_str
     from modules.util import remove_empty_str, HWC3, resize_image, \
-        get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image, erode_or_dilate
+        get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix
     from modules.upscaler import perform_upscale
 
     try:
@@ -732,8 +732,7 @@ def worker():
             done_steps = current_task_id * steps + step
             async_task.yields.append(['preview', (
                 int(15.0 + 85.0 * float(done_steps) / float(all_steps)),
-                f'Step {step}/{total_steps} in the {current_task_id + 1}-th Sampling',
-                y)])
+                f'Step {step}/{total_steps} in the {current_task_id + 1}{ordinal_suffix(current_task_id + 1)} Sampling', y)])
 
         for current_task_id, task in enumerate(tasks):
             execution_start_time = time.perf_counter()
diff --git a/modules/util.py b/modules/util.py
index de9bd5b9..c309480a 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -175,3 +175,7 @@ def get_files_from_folder(folder_path, exensions=None, name_filter=None):
                 filenames.append(path)
 
     return filenames
+
+
+def ordinal_suffix(number: int) -> str:
+    return 'th' if 10 <= number % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(number % 10, 'th')

From 2037de3fcb683434355cee4b5504046dfd9dc483 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Sat, 10 Feb 2024 21:54:50 +0100
Subject: [PATCH 042/180] chore: fix typos and adjust wording (#1521, #1644,
 #1691, #1772)

---
 .github/ISSUE_TEMPLATE/bug_report.md            | 4 ++--
 ldm_patched/pfn/architecture/face/codeformer.py | 2 +-
 readme.md                                       | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
index 331426a3..624cfe3e 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -9,10 +9,10 @@ assignees: ''
 
 **Read Troubleshoot**
 
-[x] I admit that I have read the [Troubleshoot](https://github.com/lllyasviel/Fooocus/blob/main/troubleshoot.md) before making this issue.
+[x] I confirm that I have read the [Troubleshoot](https://github.com/lllyasviel/Fooocus/blob/main/troubleshoot.md) guide before making this issue.
 
 **Describe the problem**
 A clear and concise description of what the bug is.
 
 **Full Console Log**
-Paste **full** console log here. You will make our job easier if you give a **full** log.
+Paste the **full** console log here. You will make our job easier if you give a **full** log.
diff --git a/ldm_patched/pfn/architecture/face/codeformer.py b/ldm_patched/pfn/architecture/face/codeformer.py
index 06614007..a0e2e985 100644
--- a/ldm_patched/pfn/architecture/face/codeformer.py
+++ b/ldm_patched/pfn/architecture/face/codeformer.py
@@ -2,7 +2,7 @@
 Modified from https://github.com/sczhou/CodeFormer
 VQGAN code, adapted from the original created by the Unleashing Transformers authors:
 https://github.com/samb-t/unleashing-transformers/blob/master/models/vqgan.py
-This verison of the arch specifically was gathered from an old version of GFPGAN. If this is a problem, please contact me.
+This version of the arch specifically was gathered from an old version of GFPGAN. If this is a problem, please contact me.
 """
 import math
 from typing import Optional
diff --git a/readme.md b/readme.md
index 7310cff4..fa7e829c 100644
--- a/readme.md
+++ b/readme.md
@@ -202,7 +202,7 @@ AMD is not intensively tested, however. The AMD support is in beta.
 
 Use `python entry_with_update.py --preset anime` or `python entry_with_update.py --preset realistic` for Fooocus Anime/Realistic Edition.
 
-### Windows(AMD GPUs)
+### Windows (AMD GPUs)
 
 Note that the [minimal requirement](#minimal-requirement) for different platforms is different.
 
@@ -295,7 +295,7 @@ The below things are already inside the software, and **users do not need to do
 
 1. GPT2-based [prompt expansion as a dynamic style "Fooocus V2".](https://github.com/lllyasviel/Fooocus/discussions/117#raw) (similar to Midjourney's hidden pre-processsing and "raw" mode, or the LeonardoAI's Prompt Magic).
 2. Native refiner swap inside one single k-sampler. The advantage is that the refiner model can now reuse the base model's momentum (or ODE's history parameters) collected from k-sampling to achieve more coherent sampling. In Automatic1111's high-res fix and ComfyUI's node system, the base model and refiner use two independent k-samplers, which means the momentum is largely wasted, and the sampling continuity is broken. Fooocus uses its own advanced k-diffusion sampling that ensures seamless, native, and continuous swap in a refiner setup. (Update Aug 13: Actually, I discussed this with Automatic1111 several days ago, and it seems that the “native refiner swap inside one single k-sampler” is [merged]( https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12371) into the dev branch of webui. Great!)
-3. Negative ADM guidance. Because the highest resolution level of XL Base does not have cross attentions, the positive and negative signals for XL's highest resolution level cannot receive enough contrasts during the CFG sampling, causing the results to look a bit plastic or overly smooth in certain cases. Fortunately, since the XL's highest resolution level is still conditioned on image aspect ratios (ADM), we can modify the adm on the positive/negative side to compensate for the lack of CFG contrast in the highest resolution level. (Update Aug 16, the IOS App [Drawing Things](https://apps.apple.com/us/app/draw-things-ai-generation/id6444050820) will support Negative ADM Guidance. Great!)
+3. Negative ADM guidance. Because the highest resolution level of XL Base does not have cross attentions, the positive and negative signals for XL's highest resolution level cannot receive enough contrasts during the CFG sampling, causing the results to look a bit plastic or overly smooth in certain cases. Fortunately, since the XL's highest resolution level is still conditioned on image aspect ratios (ADM), we can modify the adm on the positive/negative side to compensate for the lack of CFG contrast in the highest resolution level. (Update Aug 16, the IOS App [Draw Things](https://apps.apple.com/us/app/draw-things-ai-generation/id6444050820) will support Negative ADM Guidance. Great!)
 4. We implemented a carefully tuned variation of Section 5.1 of ["Improving Sample Quality of Diffusion Models Using Self-Attention Guidance"](https://arxiv.org/pdf/2210.00939.pdf). The weight is set to very low, but this is Fooocus's final guarantee to make sure that the XL will never yield an overly smooth or plastic appearance (examples [here](https://github.com/lllyasviel/Fooocus/discussions/117#sharpness)). This can almost eliminate all cases for which XL still occasionally produces overly smooth results, even with negative ADM guidance. (Update 2023 Aug 18, the Gaussian kernel of SAG is changed to an anisotropic kernel for better structure preservation and fewer artifacts.)
 5. We modified the style templates a bit and added the "cinematic-default".
 6. We tested the "sd_xl_offset_example-lora_1.0.safetensors" and it seems that when the lora weight is below 0.5, the results are always better than XL without lora.

From ee3ce9556689264cffa0151d891c12525a20cf24 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Sat, 10 Feb 2024 21:59:13 +0100
Subject: [PATCH 043/180] docs: update version

---
 fooocus_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index ff5a8830..91c2ddda 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.864'
+version = '2.1.865'

From 074b655dff89bfb69bcbe9a08cc947f2a0e33568 Mon Sep 17 00:00:00 2001
From: eddyizm <wtfisup@hotmail.com>
Date: Sun, 11 Feb 2024 04:03:10 -0800
Subject: [PATCH 044/180] fix: implement output path argument (#2074)

* added function to check output path arg and override, other wise, use temp or fallback to config

* added function to check output path arg and override, other wise, use temp or fallback to config #2065

* Revert to 1bcbd650

* moved path output arg handling inside config start up

* Revert "added function to check output path arg and override, other wise, use temp or fallback to config"

This reverts commit fecb97b59ccd3bde3a5fc2d2302245611eb85d2c.

* Updated tag to uppercase

* updated docstring to standard double quotes.

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* removed extra check on image log flag per feedback

* feat: update config_dict value when overriding path_outputs, change message

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 modules/config.py | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/modules/config.py b/modules/config.py
index 58107806..1f4e82eb 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -102,6 +102,18 @@ if isinstance(preset, str):
         print(e)
 
 
+def get_path_output() -> str:
+    """
+    Checking output path argument and overriding default path.
+    """
+    global config_dict
+    path_output = get_dir_or_set_default('path_outputs', '../outputs/')
+    if args_manager.args.output_path:
+        print(f'[CONFIG] Overriding config value path_outputs with {args_manager.args.output_path}')
+        config_dict['path_outputs'] = path_output = args_manager.args.output_path
+    return path_output
+
+
 def get_dir_or_set_default(key, default_value):
     global config_dict, visited_keys, always_save_keys
 
@@ -132,7 +144,7 @@ path_inpaint = get_dir_or_set_default('path_inpaint', '../models/inpaint/')
 path_controlnet = get_dir_or_set_default('path_controlnet', '../models/controlnet/')
 path_clip_vision = get_dir_or_set_default('path_clip_vision', '../models/clip_vision/')
 path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../models/prompt_expansion/fooocus_expansion')
-path_outputs = get_dir_or_set_default('path_outputs', '../outputs/')
+path_outputs = get_path_output()
 
 
 def get_config_item_or_set_default(key, default_value, validator, disable_empty_as_none=False):

From f4a8bf24cf33c8315101b67098298118eacbe572 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Sun, 11 Feb 2024 15:12:41 +0100
Subject: [PATCH 045/180] fix: correctly calculate refiner switch when
 overwrite_switch is > 0 (#2165)

When using custom steps, the calculation of switching timing is wrong. Now it is modified to calculate "steps x timing" after custom steps are used.
By @xhoxye
---
 modules/async_worker.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 67c2e707..40abb7fa 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -335,11 +335,11 @@ def worker():
         ip_adapter.load_ip_adapter(clip_vision_path, ip_negative_path, ip_adapter_path)
         ip_adapter.load_ip_adapter(clip_vision_path, ip_negative_path, ip_adapter_face_path)
 
-        switch = int(round(steps * refiner_switch))
-
         if advanced_parameters.overwrite_step > 0:
             steps = advanced_parameters.overwrite_step
 
+        switch = int(round(steps * refiner_switch))
+
         if advanced_parameters.overwrite_switch > 0:
             switch = advanced_parameters.overwrite_switch
 

From a78f66ffb5bf7b684c6a529314f74acc33d53775 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 12 Feb 2024 21:34:07 +0100
Subject: [PATCH 046/180] fix: sort with casefold, case insensitive

https://docs.python.org/3/library/stdtypes.html#str.casefold
---
 modules/util.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/util.py b/modules/util.py
index c309480a..9d4d0996 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -168,7 +168,7 @@ def get_files_from_folder(folder_path, exensions=None, name_filter=None):
         relative_path = os.path.relpath(root, folder_path)
         if relative_path == ".":
             relative_path = ""
-        for filename in sorted(files):
+        for filename in sorted(files, key=lambda s: s.casefold()):
             _, file_extension = os.path.splitext(filename)
             if (exensions == None or file_extension.lower() in exensions) and (name_filter == None or name_filter in _):
                 path = os.path.join(relative_path, filename)

From f8ca04a4061a0dabb420c5c271cfd115f88169cd Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Mon, 19 Feb 2024 15:22:10 +0100
Subject: [PATCH 047/180] feat: add early return for prompt expansion when no
 new tokens should be added

closes https://github.com/lllyasviel/Fooocus/issues/2278, also removes comma at the end added before tokenizer
---
 extras/expansion.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/extras/expansion.py b/extras/expansion.py
index c1b59b8a..34c1ee8d 100644
--- a/extras/expansion.py
+++ b/extras/expansion.py
@@ -112,6 +112,9 @@ class FooocusExpansion:
         max_token_length = 75 * int(math.ceil(float(current_token_length) / 75.0))
         max_new_tokens = max_token_length - current_token_length
 
+        if max_new_tokens == 0:
+            return prompt[:-1]
+
         # https://huggingface.co/blog/introducing-csearch
         # https://huggingface.co/docs/transformers/generation_strategies
         features = self.model.generate(**tokenized_kwargs,

From 187f4a76c66ebd4281f5313533af13b6b47a5bf7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Charlie=20=E2=9A=A1=EF=B8=8F?= <charliewilc0@pm.me>
Date: Tue, 20 Feb 2024 21:51:01 -0500
Subject: [PATCH 048/180] Remove mac generated invisible files

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index de2f5778..85914986 100644
--- a/.gitignore
+++ b/.gitignore
@@ -51,3 +51,4 @@ user_path_config-deprecated.txt
 /package-lock.json
 /.coverage*
 /auth.json
+.DS_Store

From 5b7ddf8b22d3c682de612218fc31245b70f492d8 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 24 Feb 2024 18:59:57 +0100
Subject: [PATCH 049/180] feat: advanced params refactoring + prevent users
 from skipping/stopping other users tasks in queue (#981)

* only make stop_button and skip_button interactive when rendering process starts

fix inconsistency in behaviour of stop_button and skip_button as it was possible to skip or stop other users processes while still being in queue

* use AsyncTask for last_stop handling instead of shared

* Revert "only make stop_button and skip_button interactive when rendering process starts"

This reverts commit d3f9156854b3d6b4c3d5d736f3b0454743203076.

* introduce state for task skipping/stopping

* fix return parameters of stop_clicked

* code cleanup, do not disable skip/stop on stop_clicked

* reset last_stop when skipping for further processing

* fix: replace fcbh with ldm_patched

* fix: use currentTask instead of ctrls after merging upstream

* feat: extract attribute disable_preview

* feat: extract attribute adm_scaler_positive

* feat: extract attribute adm_scaler_negative

* feat: extract attribute adm_scaler_end

* feat: extract attribute adaptive_cfg

* feat: extract attribute sampler_name

* feat: extract attribute scheduler_name

* feat: extract attribute generate_image_grid

* feat: extract attribute overwrite_step

* feat: extract attribute overwrite_switch

* feat: extract attribute overwrite_width

* feat: extract attribute overwrite_height

* feat: extract attribute overwrite_vary_strength

* feat: extract attribute overwrite_upscale_strength

* feat: extract attribute mixing_image_prompt_and_vary_upscale

* feat: extract attribute mixing_image_prompt_and_inpaint

* feat: extract attribute debugging_cn_preprocessor

* feat: extract attribute skipping_cn_preprocessor

* feat: extract attribute canny_low_threshold

* feat: extract attribute canny_high_threshold

* feat: extract attribute refiner_swap_method

* feat: extract freeu_ctrls attributes

freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2

* feat: extract inpaint_ctrls attributes

debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate

* wip: add TODOs

* chore: cleanup code

* feat: extract attribute controlnet_softness

* feat: extract remaining attributes, do not use globals in patch

* fix: resolve circular import, patch_all now in async_worker

* chore: cleanup pid code
---
 extras/preprocessors.py        |  17 ++-
 modules/advanced_parameters.py |  33 ------
 modules/async_worker.py        | 203 ++++++++++++++++++++-------------
 modules/core.py                |  10 +-
 modules/default_pipeline.py    |  17 ++-
 modules/patch.py               |  70 ++++++------
 shared.py                      |   3 +-
 webui.py                       |  61 +++++-----
 8 files changed, 218 insertions(+), 196 deletions(-)
 delete mode 100644 modules/advanced_parameters.py

diff --git a/extras/preprocessors.py b/extras/preprocessors.py
index 798fe15d..0aa83109 100644
--- a/extras/preprocessors.py
+++ b/extras/preprocessors.py
@@ -1,27 +1,26 @@
 import cv2
 import numpy as np
-import modules.advanced_parameters as advanced_parameters
 
 
-def centered_canny(x: np.ndarray):
+def centered_canny(x: np.ndarray, canny_low_threshold, canny_high_threshold):
     assert isinstance(x, np.ndarray)
     assert x.ndim == 2 and x.dtype == np.uint8
 
-    y = cv2.Canny(x, int(advanced_parameters.canny_low_threshold), int(advanced_parameters.canny_high_threshold))
+    y = cv2.Canny(x, int(canny_low_threshold), int(canny_high_threshold))
     y = y.astype(np.float32) / 255.0
     return y
 
 
-def centered_canny_color(x: np.ndarray):
+def centered_canny_color(x: np.ndarray, canny_low_threshold, canny_high_threshold):
     assert isinstance(x, np.ndarray)
     assert x.ndim == 3 and x.shape[2] == 3
 
-    result = [centered_canny(x[..., i]) for i in range(3)]
+    result = [centered_canny(x[..., i], canny_low_threshold, canny_high_threshold) for i in range(3)]
     result = np.stack(result, axis=2)
     return result
 
 
-def pyramid_canny_color(x: np.ndarray):
+def pyramid_canny_color(x: np.ndarray, canny_low_threshold, canny_high_threshold):
     assert isinstance(x, np.ndarray)
     assert x.ndim == 3 and x.shape[2] == 3
 
@@ -31,7 +30,7 @@ def pyramid_canny_color(x: np.ndarray):
     for k in [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]:
         Hs, Ws = int(H * k), int(W * k)
         small = cv2.resize(x, (Ws, Hs), interpolation=cv2.INTER_AREA)
-        edge = centered_canny_color(small)
+        edge = centered_canny_color(small, canny_low_threshold, canny_high_threshold)
         if acc_edge is None:
             acc_edge = edge
         else:
@@ -54,11 +53,11 @@ def norm255(x, low=4, high=96):
     return x * 255.0
 
 
-def canny_pyramid(x):
+def canny_pyramid(x, canny_low_threshold, canny_high_threshold):
     # For some reasons, SAI's Control-lora Canny seems to be trained on canny maps with non-standard resolutions.
     # Then we use pyramid to use all resolutions to avoid missing any structure in specific resolutions.
 
-    color_canny = pyramid_canny_color(x)
+    color_canny = pyramid_canny_color(x, canny_low_threshold, canny_high_threshold)
     result = np.sum(color_canny, axis=2)
 
     return norm255(result, low=1, high=99).clip(0, 255).astype(np.uint8)
diff --git a/modules/advanced_parameters.py b/modules/advanced_parameters.py
deleted file mode 100644
index 0caa3eec..00000000
--- a/modules/advanced_parameters.py
+++ /dev/null
@@ -1,33 +0,0 @@
-disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name,  \
-    scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height, \
-    overwrite_vary_strength, overwrite_upscale_strength, \
-    mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint, \
-    debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
-    refiner_swap_method, \
-    freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
-    debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
-    inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate = [None] * 35
-
-
-def set_all_advanced_parameters(*args):
-    global disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name, \
-        scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height, \
-        overwrite_vary_strength, overwrite_upscale_strength, \
-        mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint, \
-        debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
-        refiner_swap_method, \
-        freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
-        debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
-        inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate
-
-    disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name, \
-        scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height, \
-        overwrite_vary_strength, overwrite_upscale_strength, \
-        mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint, \
-        debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold, \
-        refiner_swap_method, \
-        freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2, \
-        debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, inpaint_strength, inpaint_respective_field, \
-        inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate = args
-
-    return
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 40abb7fa..d0ce4ba9 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -1,4 +1,8 @@
 import threading
+import os
+from modules.patch import PatchSettings, patch_settings, patch_all
+
+patch_all()
 
 
 class AsyncTask:
@@ -6,6 +10,8 @@ class AsyncTask:
         self.args = args
         self.yields = []
         self.results = []
+        self.last_stop = False
+        self.processing = False
 
 
 async_tasks = []
@@ -31,7 +37,6 @@ def worker():
     import extras.preprocessors as preprocessors
     import modules.inpaint_worker as inpaint_worker
     import modules.constants as constants
-    import modules.advanced_parameters as advanced_parameters
     import extras.ip_adapter as ip_adapter
     import extras.face_crop
     import fooocus_version
@@ -43,6 +48,9 @@ def worker():
         get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix
     from modules.upscaler import perform_upscale
 
+    pid = os.getpid()
+    print(f'Started worker with PID {pid}')
+
     try:
         async_gradio_app = shared.gradio_root
         flag = f'''App started successful. Use the app with {str(async_gradio_app.local_url)} or {str(async_gradio_app.server_name)}:{str(async_gradio_app.server_port)}'''
@@ -69,9 +77,6 @@ def worker():
         return
 
     def build_image_wall(async_task):
-        if not advanced_parameters.generate_image_grid:
-            return
-
         results = async_task.results
 
         if len(results) < 2:
@@ -115,6 +120,7 @@ def worker():
     @torch.inference_mode()
     def handler(async_task):
         execution_start_time = time.perf_counter()
+        async_task.processing = True
 
         args = async_task.args
         args.reverse()
@@ -140,6 +146,40 @@ def worker():
         inpaint_input_image = args.pop()
         inpaint_additional_prompt = args.pop()
         inpaint_mask_image_upload = args.pop()
+        disable_preview = args.pop()
+        adm_scaler_positive = args.pop()
+        adm_scaler_negative = args.pop()
+        adm_scaler_end = args.pop()
+        adaptive_cfg = args.pop()
+        sampler_name = args.pop()
+        scheduler_name = args.pop()
+        overwrite_step = args.pop()
+        overwrite_switch = args.pop()
+        overwrite_width = args.pop()
+        overwrite_height = args.pop()
+        overwrite_vary_strength = args.pop()
+        overwrite_upscale_strength = args.pop()
+        mixing_image_prompt_and_vary_upscale = args.pop()
+        mixing_image_prompt_and_inpaint = args.pop()
+        debugging_cn_preprocessor = args.pop()
+        skipping_cn_preprocessor = args.pop()
+        canny_low_threshold = args.pop()
+        canny_high_threshold = args.pop()
+        refiner_swap_method = args.pop()
+        controlnet_softness = args.pop()
+        freeu_enabled = args.pop()
+        freeu_b1 = args.pop()
+        freeu_b2 = args.pop()
+        freeu_s1 = args.pop()
+        freeu_s2 = args.pop()
+        debugging_inpaint_preprocessor = args.pop()
+        inpaint_disable_initial_latent = args.pop()
+        inpaint_engine = args.pop()
+        inpaint_strength = args.pop()
+        inpaint_respective_field = args.pop()
+        inpaint_mask_upload_checkbox = args.pop()
+        invert_mask_checkbox = args.pop()
+        inpaint_erode_or_dilate = args.pop()
 
         cn_tasks = {x: [] for x in flags.ip_list}
         for _ in range(4):
@@ -186,30 +226,33 @@ def worker():
                 print(f'Refiner disabled in LCM mode.')
 
             refiner_model_name = 'None'
-            sampler_name = advanced_parameters.sampler_name = 'lcm'
-            scheduler_name = advanced_parameters.scheduler_name = 'lcm'
-            modules.patch.sharpness = sharpness = 0.0
-            cfg_scale = guidance_scale = 1.0
-            modules.patch.adaptive_cfg = advanced_parameters.adaptive_cfg = 1.0
+            sampler_name = 'lcm'
+            scheduler_name = 'lcm'
+            sharpness = 0.0
+            guidance_scale = 1.0
+            adaptive_cfg = 1.0
             refiner_switch = 1.0
-            modules.patch.positive_adm_scale = advanced_parameters.adm_scaler_positive = 1.0
-            modules.patch.negative_adm_scale = advanced_parameters.adm_scaler_negative = 1.0
-            modules.patch.adm_scaler_end = advanced_parameters.adm_scaler_end = 0.0
+            adm_scaler_positive = 1.0
+            adm_scaler_negative = 1.0
+            adm_scaler_end = 0.0
             steps = 8
 
-        modules.patch.adaptive_cfg = advanced_parameters.adaptive_cfg
-        print(f'[Parameters] Adaptive CFG = {modules.patch.adaptive_cfg}')
-
-        modules.patch.sharpness = sharpness
-        print(f'[Parameters] Sharpness = {modules.patch.sharpness}')
-
-        modules.patch.positive_adm_scale = advanced_parameters.adm_scaler_positive
-        modules.patch.negative_adm_scale = advanced_parameters.adm_scaler_negative
-        modules.patch.adm_scaler_end = advanced_parameters.adm_scaler_end
+        print(f'[Parameters] Adaptive CFG = {adaptive_cfg}')
+        print(f'[Parameters] Sharpness = {sharpness}')
+        print(f'[Parameters] ControlNet Softness = {controlnet_softness}')
         print(f'[Parameters] ADM Scale = '
-              f'{modules.patch.positive_adm_scale} : '
-              f'{modules.patch.negative_adm_scale} : '
-              f'{modules.patch.adm_scaler_end}')
+              f'{adm_scaler_positive} : '
+              f'{adm_scaler_negative} : '
+              f'{adm_scaler_end}')
+
+        patch_settings[pid] = PatchSettings(
+            sharpness,
+            adm_scaler_end,
+            adm_scaler_positive,
+            adm_scaler_negative,
+            controlnet_softness,
+            adaptive_cfg
+        )
 
         cfg_scale = float(guidance_scale)
         print(f'[Parameters] CFG = {cfg_scale}')
@@ -222,10 +265,9 @@ def worker():
         width, height = int(width), int(height)
 
         skip_prompt_processing = False
-        refiner_swap_method = advanced_parameters.refiner_swap_method
 
         inpaint_worker.current_task = None
-        inpaint_parameterized = advanced_parameters.inpaint_engine != 'None'
+        inpaint_parameterized = inpaint_engine != 'None'
         inpaint_image = None
         inpaint_mask = None
         inpaint_head_model_path = None
@@ -239,15 +281,12 @@ def worker():
         seed = int(image_seed)
         print(f'[Parameters] Seed = {seed}')
 
-        sampler_name = advanced_parameters.sampler_name
-        scheduler_name = advanced_parameters.scheduler_name
-
         goals = []
         tasks = []
 
         if input_image_checkbox:
             if (current_tab == 'uov' or (
-                    current_tab == 'ip' and advanced_parameters.mixing_image_prompt_and_vary_upscale)) \
+                    current_tab == 'ip' and mixing_image_prompt_and_vary_upscale)) \
                     and uov_method != flags.disabled and uov_input_image is not None:
                 uov_input_image = HWC3(uov_input_image)
                 if 'vary' in uov_method:
@@ -271,12 +310,12 @@ def worker():
                     progressbar(async_task, 1, 'Downloading upscale models ...')
                     modules.config.downloading_upscale_model()
             if (current_tab == 'inpaint' or (
-                    current_tab == 'ip' and advanced_parameters.mixing_image_prompt_and_inpaint)) \
+                    current_tab == 'ip' and mixing_image_prompt_and_inpaint)) \
                     and isinstance(inpaint_input_image, dict):
                 inpaint_image = inpaint_input_image['image']
                 inpaint_mask = inpaint_input_image['mask'][:, :, 0]
-                
-                if advanced_parameters.inpaint_mask_upload_checkbox:
+
+                if inpaint_mask_upload_checkbox:
                     if isinstance(inpaint_mask_image_upload, np.ndarray):
                         if inpaint_mask_image_upload.ndim == 3:
                             H, W, C = inpaint_image.shape
@@ -285,10 +324,10 @@ def worker():
                             inpaint_mask_image_upload = (inpaint_mask_image_upload > 127).astype(np.uint8) * 255
                             inpaint_mask = np.maximum(inpaint_mask, inpaint_mask_image_upload)
 
-                if int(advanced_parameters.inpaint_erode_or_dilate) != 0:
-                    inpaint_mask = erode_or_dilate(inpaint_mask, advanced_parameters.inpaint_erode_or_dilate)
+                if int(inpaint_erode_or_dilate) != 0:
+                    inpaint_mask = erode_or_dilate(inpaint_mask, inpaint_erode_or_dilate)
 
-                if advanced_parameters.invert_mask_checkbox:
+                if invert_mask_checkbox:
                     inpaint_mask = 255 - inpaint_mask
 
                 inpaint_image = HWC3(inpaint_image)
@@ -299,7 +338,7 @@ def worker():
                     if inpaint_parameterized:
                         progressbar(async_task, 1, 'Downloading inpainter ...')
                         inpaint_head_model_path, inpaint_patch_model_path = modules.config.downloading_inpaint_models(
-                            advanced_parameters.inpaint_engine)
+                            inpaint_engine)
                         base_model_additional_loras += [(inpaint_patch_model_path, 1.0)]
                         print(f'[Inpaint] Current inpaint model is {inpaint_patch_model_path}')
                         if refiner_model_name == 'None':
@@ -315,8 +354,8 @@ def worker():
                             prompt = inpaint_additional_prompt + '\n' + prompt
                     goals.append('inpaint')
             if current_tab == 'ip' or \
-                    advanced_parameters.mixing_image_prompt_and_inpaint or \
-                    advanced_parameters.mixing_image_prompt_and_vary_upscale:
+                    mixing_image_prompt_and_vary_upscale or \
+                    mixing_image_prompt_and_inpaint:
                 goals.append('cn')
                 progressbar(async_task, 1, 'Downloading control models ...')
                 if len(cn_tasks[flags.cn_canny]) > 0:
@@ -335,19 +374,19 @@ def worker():
         ip_adapter.load_ip_adapter(clip_vision_path, ip_negative_path, ip_adapter_path)
         ip_adapter.load_ip_adapter(clip_vision_path, ip_negative_path, ip_adapter_face_path)
 
-        if advanced_parameters.overwrite_step > 0:
-            steps = advanced_parameters.overwrite_step
+        if overwrite_step > 0:
+            steps = overwrite_step
 
         switch = int(round(steps * refiner_switch))
 
-        if advanced_parameters.overwrite_switch > 0:
-            switch = advanced_parameters.overwrite_switch
+        if overwrite_switch > 0:
+            switch = overwrite_switch
 
-        if advanced_parameters.overwrite_width > 0:
-            width = advanced_parameters.overwrite_width
+        if overwrite_width > 0:
+            width = overwrite_width
 
-        if advanced_parameters.overwrite_height > 0:
-            height = advanced_parameters.overwrite_height
+        if overwrite_height > 0:
+            height = overwrite_height
 
         print(f'[Parameters] Sampler = {sampler_name} - {scheduler_name}')
         print(f'[Parameters] Steps = {steps} - {switch}')
@@ -446,8 +485,8 @@ def worker():
                 denoising_strength = 0.5
             if 'strong' in uov_method:
                 denoising_strength = 0.85
-            if advanced_parameters.overwrite_vary_strength > 0:
-                denoising_strength = advanced_parameters.overwrite_vary_strength
+            if overwrite_vary_strength > 0:
+                denoising_strength = overwrite_vary_strength
 
             shape_ceil = get_image_shape_ceil(uov_input_image)
             if shape_ceil < 1024:
@@ -518,8 +557,8 @@ def worker():
             tiled = True
             denoising_strength = 0.382
 
-            if advanced_parameters.overwrite_upscale_strength > 0:
-                denoising_strength = advanced_parameters.overwrite_upscale_strength
+            if overwrite_upscale_strength > 0:
+                denoising_strength = overwrite_upscale_strength
 
             initial_pixels = core.numpy_to_pytorch(uov_input_image)
             progressbar(async_task, 13, 'VAE encoding ...')
@@ -563,19 +602,19 @@ def worker():
 
                 inpaint_image = np.ascontiguousarray(inpaint_image.copy())
                 inpaint_mask = np.ascontiguousarray(inpaint_mask.copy())
-                advanced_parameters.inpaint_strength = 1.0
-                advanced_parameters.inpaint_respective_field = 1.0
+                inpaint_strength = 1.0
+                inpaint_respective_field = 1.0
 
-            denoising_strength = advanced_parameters.inpaint_strength
+            denoising_strength = inpaint_strength
 
             inpaint_worker.current_task = inpaint_worker.InpaintWorker(
                 image=inpaint_image,
                 mask=inpaint_mask,
                 use_fill=denoising_strength > 0.99,
-                k=advanced_parameters.inpaint_respective_field
+                k=inpaint_respective_field
             )
 
-            if advanced_parameters.debugging_inpaint_preprocessor:
+            if debugging_inpaint_preprocessor:
                 yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(),
                              do_not_show_finished_images=True)
                 return
@@ -621,7 +660,7 @@ def worker():
                     model=pipeline.final_unet
                 )
 
-            if not advanced_parameters.inpaint_disable_initial_latent:
+            if not inpaint_disable_initial_latent:
                 initial_latent = {'samples': latent_fill}
 
             B, C, H, W = latent_fill.shape
@@ -634,24 +673,24 @@ def worker():
                 cn_img, cn_stop, cn_weight = task
                 cn_img = resize_image(HWC3(cn_img), width=width, height=height)
 
-                if not advanced_parameters.skipping_cn_preprocessor:
-                    cn_img = preprocessors.canny_pyramid(cn_img)
+                if not skipping_cn_preprocessor:
+                    cn_img = preprocessors.canny_pyramid(cn_img, canny_low_threshold, canny_high_threshold)
 
                 cn_img = HWC3(cn_img)
                 task[0] = core.numpy_to_pytorch(cn_img)
-                if advanced_parameters.debugging_cn_preprocessor:
+                if debugging_cn_preprocessor:
                     yield_result(async_task, cn_img, do_not_show_finished_images=True)
                     return
             for task in cn_tasks[flags.cn_cpds]:
                 cn_img, cn_stop, cn_weight = task
                 cn_img = resize_image(HWC3(cn_img), width=width, height=height)
 
-                if not advanced_parameters.skipping_cn_preprocessor:
+                if not skipping_cn_preprocessor:
                     cn_img = preprocessors.cpds(cn_img)
 
                 cn_img = HWC3(cn_img)
                 task[0] = core.numpy_to_pytorch(cn_img)
-                if advanced_parameters.debugging_cn_preprocessor:
+                if debugging_cn_preprocessor:
                     yield_result(async_task, cn_img, do_not_show_finished_images=True)
                     return
             for task in cn_tasks[flags.cn_ip]:
@@ -662,21 +701,21 @@ def worker():
                 cn_img = resize_image(cn_img, width=224, height=224, resize_mode=0)
 
                 task[0] = ip_adapter.preprocess(cn_img, ip_adapter_path=ip_adapter_path)
-                if advanced_parameters.debugging_cn_preprocessor:
+                if debugging_cn_preprocessor:
                     yield_result(async_task, cn_img, do_not_show_finished_images=True)
                     return
             for task in cn_tasks[flags.cn_ip_face]:
                 cn_img, cn_stop, cn_weight = task
                 cn_img = HWC3(cn_img)
 
-                if not advanced_parameters.skipping_cn_preprocessor:
+                if not skipping_cn_preprocessor:
                     cn_img = extras.face_crop.crop_image(cn_img)
 
                 # https://github.com/tencent-ailab/IP-Adapter/blob/d580c50a291566bbf9fc7ac0f760506607297e6d/README.md?plain=1#L75
                 cn_img = resize_image(cn_img, width=224, height=224, resize_mode=0)
 
                 task[0] = ip_adapter.preprocess(cn_img, ip_adapter_path=ip_adapter_face_path)
-                if advanced_parameters.debugging_cn_preprocessor:
+                if debugging_cn_preprocessor:
                     yield_result(async_task, cn_img, do_not_show_finished_images=True)
                     return
 
@@ -685,14 +724,14 @@ def worker():
             if len(all_ip_tasks) > 0:
                 pipeline.final_unet = ip_adapter.patch_model(pipeline.final_unet, all_ip_tasks)
 
-        if advanced_parameters.freeu_enabled:
+        if freeu_enabled:
             print(f'FreeU is enabled!')
             pipeline.final_unet = core.apply_freeu(
                 pipeline.final_unet,
-                advanced_parameters.freeu_b1,
-                advanced_parameters.freeu_b2,
-                advanced_parameters.freeu_s1,
-                advanced_parameters.freeu_s2
+                freeu_b1,
+                freeu_b2,
+                freeu_s1,
+                freeu_s2
             )
 
         all_steps = steps * image_number
@@ -738,6 +777,8 @@ def worker():
             execution_start_time = time.perf_counter()
 
             try:
+                if async_task.last_stop is not False:
+                    ldm_patched.model_management.interrupt_current_processing()
                 positive_cond, negative_cond = task['c'], task['uc']
 
                 if 'cn' in goals:
@@ -765,7 +806,8 @@ def worker():
                     denoise=denoising_strength,
                     tiled=tiled,
                     cfg_scale=cfg_scale,
-                    refiner_swap_method=refiner_swap_method
+                    refiner_swap_method=refiner_swap_method,
+                    disable_preview=disable_preview
                 )
 
                 del task['c'], task['uc'], positive_cond, negative_cond  # Save memory
@@ -784,9 +826,9 @@ def worker():
                         ('Sharpness', sharpness),
                         ('Guidance Scale', guidance_scale),
                         ('ADM Guidance', str((
-                            modules.patch.positive_adm_scale,
-                            modules.patch.negative_adm_scale,
-                            modules.patch.adm_scaler_end))),
+                            modules.patch.patch_settings[pid].positive_adm_scale,
+                            modules.patch.patch_settings[pid].negative_adm_scale,
+                            modules.patch.patch_settings[pid].adm_scaler_end))),
                         ('Base Model', base_model_name),
                         ('Refiner Model', refiner_model_name),
                         ('Refiner Switch', refiner_switch),
@@ -802,8 +844,9 @@ def worker():
 
                 yield_result(async_task, imgs, do_not_show_finished_images=len(tasks) == 1)
             except ldm_patched.modules.model_management.InterruptProcessingException as e:
-                if shared.last_stop == 'skip':
+                if async_task.last_stop == 'skip':
                     print('User skipped')
+                    async_task.last_stop = False
                     continue
                 else:
                     print('User stopped')
@@ -811,21 +854,27 @@ def worker():
 
             execution_time = time.perf_counter() - execution_start_time
             print(f'Generating and saving time: {execution_time:.2f} seconds')
-
+        async_task.processing = False
         return
 
     while True:
         time.sleep(0.01)
         if len(async_tasks) > 0:
             task = async_tasks.pop(0)
+            generate_image_grid = task.args.pop(0)
+
             try:
                 handler(task)
-                build_image_wall(task)
+                if generate_image_grid:
+                    build_image_wall(task)
                 task.yields.append(['finish', task.results])
                 pipeline.prepare_text_encoder(async_call=True)
             except:
                 traceback.print_exc()
                 task.yields.append(['finish', task.results])
+            finally:
+                if pid in modules.patch.patch_settings:
+                    del modules.patch.patch_settings[pid]
     pass
 
 
diff --git a/modules/core.py b/modules/core.py
index 989b8e32..7a29d988 100644
--- a/modules/core.py
+++ b/modules/core.py
@@ -1,8 +1,3 @@
-from modules.patch import patch_all
-
-patch_all()
-
-
 import os
 import einops
 import torch
@@ -16,7 +11,6 @@ import ldm_patched.modules.controlnet
 import modules.sample_hijack
 import ldm_patched.modules.samplers
 import ldm_patched.modules.latent_formats
-import modules.advanced_parameters
 
 from ldm_patched.modules.sd import load_checkpoint_guess_config
 from ldm_patched.contrib.external import VAEDecode, EmptyLatentImage, VAEEncode, VAEEncodeTiled, VAEDecodeTiled, \
@@ -268,7 +262,7 @@ def get_previewer(model):
 def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=7.0, sampler_name='dpmpp_2m_sde_gpu',
              scheduler='karras', denoise=1.0, disable_noise=False, start_step=None, last_step=None,
              force_full_denoise=False, callback_function=None, refiner=None, refiner_switch=-1,
-             previewer_start=None, previewer_end=None, sigmas=None, noise_mean=None):
+             previewer_start=None, previewer_end=None, sigmas=None, noise_mean=None, disable_preview=False):
 
     if sigmas is not None:
         sigmas = sigmas.clone().to(ldm_patched.modules.model_management.get_torch_device())
@@ -299,7 +293,7 @@ def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=7.0, sa
     def callback(step, x0, x, total_steps):
         ldm_patched.modules.model_management.throw_exception_if_processing_interrupted()
         y = None
-        if previewer is not None and not modules.advanced_parameters.disable_preview:
+        if previewer is not None and not disable_preview:
             y = previewer(x0, previewer_start + step, previewer_end)
         if callback_function is not None:
             callback_function(previewer_start + step, x0, x, previewer_end, y)
diff --git a/modules/default_pipeline.py b/modules/default_pipeline.py
index 6001d97f..2f45667c 100644
--- a/modules/default_pipeline.py
+++ b/modules/default_pipeline.py
@@ -315,7 +315,7 @@ def get_candidate_vae(steps, switch, denoise=1.0, refiner_swap_method='joint'):
 
 @torch.no_grad()
 @torch.inference_mode()
-def process_diffusion(positive_cond, negative_cond, steps, switch, width, height, image_seed, callback, sampler_name, scheduler_name, latent=None, denoise=1.0, tiled=False, cfg_scale=7.0, refiner_swap_method='joint'):
+def process_diffusion(positive_cond, negative_cond, steps, switch, width, height, image_seed, callback, sampler_name, scheduler_name, latent=None, denoise=1.0, tiled=False, cfg_scale=7.0, refiner_swap_method='joint', disable_preview=False):
     target_unet, target_vae, target_refiner_unet, target_refiner_vae, target_clip \
         = final_unet, final_vae, final_refiner_unet, final_refiner_vae, final_clip
 
@@ -374,6 +374,7 @@ def process_diffusion(positive_cond, negative_cond, steps, switch, width, height
             refiner_switch=switch,
             previewer_start=0,
             previewer_end=steps,
+            disable_preview=disable_preview
         )
         decoded_latent = core.decode_vae(vae=target_vae, latent_image=sampled_latent, tiled=tiled)
 
@@ -392,6 +393,7 @@ def process_diffusion(positive_cond, negative_cond, steps, switch, width, height
             scheduler=scheduler_name,
             previewer_start=0,
             previewer_end=steps,
+            disable_preview=disable_preview
         )
         print('Refiner swapped by changing ksampler. Noise preserved.')
 
@@ -414,6 +416,7 @@ def process_diffusion(positive_cond, negative_cond, steps, switch, width, height
             scheduler=scheduler_name,
             previewer_start=switch,
             previewer_end=steps,
+            disable_preview=disable_preview
         )
 
         target_model = target_refiner_vae
@@ -422,7 +425,7 @@ def process_diffusion(positive_cond, negative_cond, steps, switch, width, height
         decoded_latent = core.decode_vae(vae=target_model, latent_image=sampled_latent, tiled=tiled)
 
     if refiner_swap_method == 'vae':
-        modules.patch.eps_record = 'vae'
+        modules.patch.patch_settings[os.getpid()].eps_record = 'vae'
 
         if modules.inpaint_worker.current_task is not None:
             modules.inpaint_worker.current_task.unswap()
@@ -440,7 +443,8 @@ def process_diffusion(positive_cond, negative_cond, steps, switch, width, height
             sampler_name=sampler_name,
             scheduler=scheduler_name,
             previewer_start=0,
-            previewer_end=steps
+            previewer_end=steps,
+            disable_preview=disable_preview
         )
         print('Fooocus VAE-based swap.')
 
@@ -459,7 +463,7 @@ def process_diffusion(positive_cond, negative_cond, steps, switch, width, height
                                   denoise=denoise)[switch:] * k_sigmas
         len_sigmas = len(sigmas) - 1
 
-        noise_mean = torch.mean(modules.patch.eps_record, dim=1, keepdim=True)
+        noise_mean = torch.mean(modules.patch.patch_settings[os.getpid()].eps_record, dim=1, keepdim=True)
 
         if modules.inpaint_worker.current_task is not None:
             modules.inpaint_worker.current_task.swap()
@@ -479,7 +483,8 @@ def process_diffusion(positive_cond, negative_cond, steps, switch, width, height
             previewer_start=switch,
             previewer_end=steps,
             sigmas=sigmas,
-            noise_mean=noise_mean
+            noise_mean=noise_mean,
+            disable_preview=disable_preview
         )
 
         target_model = target_refiner_vae
@@ -488,5 +493,5 @@ def process_diffusion(positive_cond, negative_cond, steps, switch, width, height
         decoded_latent = core.decode_vae(vae=target_model, latent_image=sampled_latent, tiled=tiled)
 
     images = core.pytorch_to_numpy(decoded_latent)
-    modules.patch.eps_record = None
+    modules.patch.patch_settings[os.getpid()].eps_record = None
     return images
diff --git a/modules/patch.py b/modules/patch.py
index 2e2409c5..3c2dd8f4 100644
--- a/modules/patch.py
+++ b/modules/patch.py
@@ -17,7 +17,6 @@ import ldm_patched.controlnet.cldm
 import ldm_patched.modules.model_patcher
 import ldm_patched.modules.samplers
 import ldm_patched.modules.args_parser
-import modules.advanced_parameters as advanced_parameters
 import warnings
 import safetensors.torch
 import modules.constants as constants
@@ -29,15 +28,25 @@ from modules.patch_precision import patch_all_precision
 from modules.patch_clip import patch_all_clip
 
 
-sharpness = 2.0
+class PatchSettings:
+    def __init__(self,
+                 sharpness=2.0,
+                 adm_scaler_end=0.3,
+                 positive_adm_scale=1.5,
+                 negative_adm_scale=0.8,
+                 controlnet_softness=0.25,
+                 adaptive_cfg=7.0):
+        self.sharpness = sharpness
+        self.adm_scaler_end = adm_scaler_end
+        self.positive_adm_scale = positive_adm_scale
+        self.negative_adm_scale = negative_adm_scale
+        self.controlnet_softness = controlnet_softness
+        self.adaptive_cfg = adaptive_cfg
+        self.global_diffusion_progress = 0
+        self.eps_record = None
 
-adm_scaler_end = 0.3
-positive_adm_scale = 1.5
-negative_adm_scale = 0.8
 
-adaptive_cfg = 7.0
-global_diffusion_progress = 0
-eps_record = None
+patch_settings = {}
 
 
 def calculate_weight_patched(self, patches, weight, key):
@@ -201,14 +210,13 @@ class BrownianTreeNoiseSamplerPatched:
 
 
 def compute_cfg(uncond, cond, cfg_scale, t):
-    global adaptive_cfg
-
-    mimic_cfg = float(adaptive_cfg)
+    pid = os.getpid()
+    mimic_cfg = float(patch_settings[pid].adaptive_cfg)
     real_cfg = float(cfg_scale)
 
     real_eps = uncond + real_cfg * (cond - uncond)
 
-    if cfg_scale > adaptive_cfg:
+    if cfg_scale > patch_settings[pid].adaptive_cfg:
         mimicked_eps = uncond + mimic_cfg * (cond - uncond)
         return real_eps * t + mimicked_eps * (1 - t)
     else:
@@ -216,13 +224,13 @@ def compute_cfg(uncond, cond, cfg_scale, t):
 
 
 def patched_sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options=None, seed=None):
-    global eps_record
+    pid = os.getpid()
 
     if math.isclose(cond_scale, 1.0) and not model_options.get("disable_cfg1_optimization", False):
         final_x0 = calc_cond_uncond_batch(model, cond, None, x, timestep, model_options)[0]
 
-        if eps_record is not None:
-            eps_record = ((x - final_x0) / timestep).cpu()
+        if patch_settings[pid].eps_record is not None:
+            patch_settings[pid].eps_record = ((x - final_x0) / timestep).cpu()
 
         return final_x0
 
@@ -231,16 +239,16 @@ def patched_sampling_function(model, x, timestep, uncond, cond, cond_scale, mode
     positive_eps = x - positive_x0
     negative_eps = x - negative_x0
 
-    alpha = 0.001 * sharpness * global_diffusion_progress
+    alpha = 0.001 * patch_settings[pid].sharpness * patch_settings[pid].global_diffusion_progress
 
     positive_eps_degraded = anisotropic.adaptive_anisotropic_filter(x=positive_eps, g=positive_x0)
     positive_eps_degraded_weighted = positive_eps_degraded * alpha + positive_eps * (1.0 - alpha)
 
     final_eps = compute_cfg(uncond=negative_eps, cond=positive_eps_degraded_weighted,
-                            cfg_scale=cond_scale, t=global_diffusion_progress)
+                            cfg_scale=cond_scale, t=patch_settings[pid].global_diffusion_progress)
 
-    if eps_record is not None:
-        eps_record = (final_eps / timestep).cpu()
+    if patch_settings[pid].eps_record is not None:
+        patch_settings[pid].eps_record = (final_eps / timestep).cpu()
 
     return x - final_eps
 
@@ -255,20 +263,19 @@ def round_to_64(x):
 
 
 def sdxl_encode_adm_patched(self, **kwargs):
-    global positive_adm_scale, negative_adm_scale
-
     clip_pooled = ldm_patched.modules.model_base.sdxl_pooled(kwargs, self.noise_augmentor)
     width = kwargs.get("width", 1024)
     height = kwargs.get("height", 1024)
     target_width = width
     target_height = height
+    pid = os.getpid()
 
     if kwargs.get("prompt_type", "") == "negative":
-        width = float(width) * negative_adm_scale
-        height = float(height) * negative_adm_scale
+        width = float(width) * patch_settings[pid].negative_adm_scale
+        height = float(height) * patch_settings[pid].negative_adm_scale
     elif kwargs.get("prompt_type", "") == "positive":
-        width = float(width) * positive_adm_scale
-        height = float(height) * positive_adm_scale
+        width = float(width) * patch_settings[pid].positive_adm_scale
+        height = float(height) * patch_settings[pid].positive_adm_scale
 
     def embedder(number_list):
         h = self.embedder(torch.tensor(number_list, dtype=torch.float32))
@@ -322,7 +329,7 @@ def patched_KSamplerX0Inpaint_forward(self, x, sigma, uncond, cond, cond_scale,
 
 def timed_adm(y, timesteps):
     if isinstance(y, torch.Tensor) and int(y.dim()) == 2 and int(y.shape[1]) == 5632:
-        y_mask = (timesteps > 999.0 * (1.0 - float(adm_scaler_end))).to(y)[..., None]
+        y_mask = (timesteps > 999.0 * (1.0 - float(patch_settings[os.getpid()].adm_scaler_end))).to(y)[..., None]
         y_with_adm = y[..., :2816].clone()
         y_without_adm = y[..., 2816:].clone()
         return y_with_adm * y_mask + y_without_adm * (1.0 - y_mask)
@@ -332,6 +339,7 @@ def timed_adm(y, timesteps):
 def patched_cldm_forward(self, x, hint, timesteps, context, y=None, **kwargs):
     t_emb = ldm_patched.ldm.modules.diffusionmodules.openaimodel.timestep_embedding(timesteps, self.model_channels, repeat_only=False).to(x.dtype)
     emb = self.time_embed(t_emb)
+    pid = os.getpid()
 
     guided_hint = self.input_hint_block(hint, emb, context)
 
@@ -357,19 +365,17 @@ def patched_cldm_forward(self, x, hint, timesteps, context, y=None, **kwargs):
     h = self.middle_block(h, emb, context)
     outs.append(self.middle_block_out(h, emb, context))
 
-    if advanced_parameters.controlnet_softness > 0:
+    if patch_settings[pid].controlnet_softness > 0:
         for i in range(10):
             k = 1.0 - float(i) / 9.0
-            outs[i] = outs[i] * (1.0 - advanced_parameters.controlnet_softness * k)
+            outs[i] = outs[i] * (1.0 - patch_settings[pid].controlnet_softness * k)
 
     return outs
 
 
 def patched_unet_forward(self, x, timesteps=None, context=None, y=None, control=None, transformer_options={}, **kwargs):
-    global global_diffusion_progress
-
     self.current_step = 1.0 - timesteps.to(x) / 999.0
-    global_diffusion_progress = float(self.current_step.detach().cpu().numpy().tolist()[0])
+    patch_settings[os.getpid()].global_diffusion_progress = float(self.current_step.detach().cpu().numpy().tolist()[0])
 
     y = timed_adm(y, timesteps)
 
@@ -483,7 +489,7 @@ def patch_all():
     if ldm_patched.modules.model_management.directml_enabled:
         ldm_patched.modules.model_management.lowvram_available = True
         ldm_patched.modules.model_management.OOM_EXCEPTION = Exception
-    
+
     patch_all_precision()
     patch_all_clip()
 
diff --git a/shared.py b/shared.py
index 269809e3..21a2a864 100644
--- a/shared.py
+++ b/shared.py
@@ -1,2 +1 @@
-gradio_root = None
-last_stop = None
+gradio_root = None
\ No newline at end of file
diff --git a/webui.py b/webui.py
index b9b620d2..05b7d20e 100644
--- a/webui.py
+++ b/webui.py
@@ -11,7 +11,6 @@ import modules.async_worker as worker
 import modules.constants as constants
 import modules.flags as flags
 import modules.gradio_hijack as grh
-import modules.advanced_parameters as advanced_parameters
 import modules.style_sorter as style_sorter
 import modules.meta_parser
 import args_manager
@@ -22,17 +21,19 @@ from modules.private_logger import get_current_html_path
 from modules.ui_gradio_extensions import reload_javascript
 from modules.auth import auth_enabled, check_auth
 
+def get_task(*args):
+    args = list(args)
+    args.pop(0)
 
-def generate_clicked(*args):
+    return worker.AsyncTask(args=args)
+
+def generate_clicked(task):
     import ldm_patched.modules.model_management as model_management
 
     with model_management.interrupt_processing_mutex:
         model_management.interrupt_processing = False
-
     # outputs=[progress_html, progress_window, progress_gallery, gallery]
-
     execution_start_time = time.perf_counter()
-    task = worker.AsyncTask(args=list(args))
     finished = False
 
     yield gr.update(visible=True, value=modules.html.make_progress_html(1, 'Waiting for task to start ...')), \
@@ -88,6 +89,7 @@ shared.gradio_root = gr.Blocks(
     css=modules.html.css).queue()
 
 with shared.gradio_root:
+    currentTask = gr.State(worker.AsyncTask(args=[]))
     with gr.Row():
         with gr.Column(scale=2):
             with gr.Row():
@@ -115,21 +117,22 @@ with shared.gradio_root:
                     skip_button = gr.Button(label="Skip", value="Skip", elem_classes='type_row_half', visible=False)
                     stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row_half', elem_id='stop_button', visible=False)
 
-                    def stop_clicked():
+                    def stop_clicked(currentTask):
                         import ldm_patched.modules.model_management as model_management
-                        shared.last_stop = 'stop'
-                        model_management.interrupt_current_processing()
-                        return [gr.update(interactive=False)] * 2
+                        currentTask.last_stop = 'stop'
+                        if (currentTask.processing):
+                            model_management.interrupt_current_processing()
+                        return currentTask
 
-                    def skip_clicked():
+                    def skip_clicked(currentTask):
                         import ldm_patched.modules.model_management as model_management
-                        shared.last_stop = 'skip'
-                        model_management.interrupt_current_processing()
-                        return
+                        currentTask.last_stop = 'skip'
+                        if (currentTask.processing):
+                            model_management.interrupt_current_processing()
+                        return currentTask
 
-                    stop_button.click(stop_clicked, outputs=[skip_button, stop_button],
-                                      queue=False, show_progress=False, _js='cancelGenerateForever')
-                    skip_button.click(skip_clicked, queue=False, show_progress=False)
+                    stop_button.click(stop_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False, _js='cancelGenerateForever')
+                    skip_button.click(skip_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False)
             with gr.Row(elem_classes='advanced_check_row'):
                 input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check')
                 advanced_checkbox = gr.Checkbox(label='Advanced', value=modules.config.default_advanced_checkbox, container=False, elem_classes='min_check')
@@ -435,7 +438,7 @@ with shared.gradio_root:
                                                                  '(default is 0, always process before any mask invert)')
                         inpaint_mask_upload_checkbox = gr.Checkbox(label='Enable Mask Upload', value=False)
                         invert_mask_checkbox = gr.Checkbox(label='Invert Mask', value=False)
-                        
+
                         inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine,
                                          inpaint_strength, inpaint_respective_field,
                                          inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate]
@@ -452,15 +455,6 @@ with shared.gradio_root:
                         freeu_s2 = gr.Slider(label='S2', minimum=0, maximum=4, step=0.01, value=0.95)
                         freeu_ctrls = [freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2]
 
-                adps = [disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name,
-                        scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height,
-                        overwrite_vary_strength, overwrite_upscale_strength,
-                        mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint,
-                        debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness,
-                        canny_low_threshold, canny_high_threshold, refiner_swap_method]
-                adps += freeu_ctrls
-                adps += inpaint_ctrls
-
                 def dev_mode_checked(r):
                     return gr.update(visible=r)
 
@@ -525,7 +519,8 @@ with shared.gradio_root:
             inpaint_strength, inpaint_respective_field
         ], show_progress=False, queue=False)
 
-        ctrls = [
+        ctrls = [currentTask, generate_image_grid]
+        ctrls += [
             prompt, negative_prompt, style_selections,
             performance_selection, aspect_ratios_selection, image_number, image_seed, sharpness, guidance_scale
         ]
@@ -534,6 +529,14 @@ with shared.gradio_root:
         ctrls += [input_image_checkbox, current_tab]
         ctrls += [uov_method, uov_input_image]
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
+        ctrls += [disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
+        ctrls += [sampler_name, scheduler_name]
+        ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
+        ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]
+        ctrls += [debugging_cn_preprocessor, skipping_cn_preprocessor, canny_low_threshold, canny_high_threshold]
+        ctrls += [refiner_swap_method, controlnet_softness]
+        ctrls += freeu_ctrls
+        ctrls += inpaint_ctrls
         ctrls += ip_ctrls
 
         state_is_generating = gr.State(False)
@@ -588,8 +591,8 @@ with shared.gradio_root:
         generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), [], True),
                               outputs=[stop_button, skip_button, generate_button, gallery, state_is_generating]) \
             .then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed) \
-            .then(advanced_parameters.set_all_advanced_parameters, inputs=adps) \
-            .then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, progress_gallery, gallery]) \
+            .then(fn=get_task, inputs=ctrls, outputs=currentTask) \
+            .then(fn=generate_clicked, inputs=currentTask, outputs=[progress_html, progress_window, progress_gallery, gallery]) \
             .then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), gr.update(visible=False, interactive=False), False),
                   outputs=[generate_button, stop_button, skip_button, state_is_generating]) \
             .then(fn=update_history_link, outputs=history_link) \

From 965364cd80e63686bd1138306995bbcea29a4d14 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 24 Feb 2024 19:03:25 +0100
Subject: [PATCH 050/180] feat: add list of 100 most popular animals to
 wildcards (#985)

---
 wildcards/animal.txt | 100 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 100 insertions(+)
 create mode 100644 wildcards/animal.txt

diff --git a/wildcards/animal.txt b/wildcards/animal.txt
new file mode 100644
index 00000000..9a6f09ba
--- /dev/null
+++ b/wildcards/animal.txt
@@ -0,0 +1,100 @@
+Alligator
+Ant
+Antelope
+Armadillo
+Badger
+Bat
+Bear
+Beaver
+Bison
+Boar
+Bobcat
+Bull
+Camel
+Chameleon
+Cheetah
+Chicken
+Chihuahua
+Chimpanzee
+Chinchilla
+Chipmunk
+Comodo Dragon
+Cow
+Coyote
+Crocodile
+Crow
+Deer
+Dinosaur
+Dolphin
+Donkey
+Duck
+Eagle
+Eel
+Elephant
+Elk
+Emu
+Falcon
+Ferret
+Flamingo
+Flying Squirrel
+Giraffe
+Goose
+Guinea pig
+Hawk
+Hedgehog
+Hippopotamus
+Horse
+Hummingbird
+Hyena
+Jackal
+Jaguar
+Jellyfish
+Kangaroo
+King Cobra
+Koala bear
+Leopard
+Lion
+Lizard
+Magpie
+Marten
+Meerkat
+Mole
+Monkey
+Moose
+Mouse
+Octopus
+Okapi
+Orangutan
+Ostrich
+Otter
+Owl
+Panda
+Pangolin
+Panther
+Penguin
+Pig
+Porcupine
+Possum
+Puma
+Quokka
+Rabbit
+Raccoon
+Raven
+Reindeer
+Rhinoceros
+Seal
+Shark
+Sheep
+Snail
+Snake
+Sparrow
+Spider
+Squirrel
+Swallow
+Tiger
+Walrus
+Whale
+Wolf
+Wombat
+Yak
+Zebra
\ No newline at end of file

From 7cfb5e742db2b22eab61966b4be5300bd96dc53c Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 24 Feb 2024 20:07:36 +0100
Subject: [PATCH 051/180] feat: add advanced parameter for
 disable_intermediate_results (progress_gallery) (#1013)

* add advanced parameter for disable_intermediate_results

prevents gradio frontend process from clogging image output and updates in high throughput scenarios such as LCM with image number >= 4

* update disable_intermediate_results correctly

based on default and selected performance

* chore: add missing translations
---
 language/en.json        |  4 ++++
 modules/async_worker.py |  3 ++-
 webui.py                | 12 +++++++++---
 3 files changed, 15 insertions(+), 4 deletions(-)

diff --git a/language/en.json b/language/en.json
index fd40ca2f..8a782e3f 100644
--- a/language/en.json
+++ b/language/en.json
@@ -342,6 +342,10 @@
     "Forced Overwrite of Denoising Strength of \"Vary\"": "Forced Overwrite of Denoising Strength of \"Vary\"",
     "Set as negative number to disable. For developer debugging.": "Set as negative number to disable. For developer debugging.",
     "Forced Overwrite of Denoising Strength of \"Upscale\"": "Forced Overwrite of Denoising Strength of \"Upscale\"",
+    "Disable Preview": "Disable Preview",
+    "Disable preview during generation.": "Disable preview during generation.",
+    "Disable Intermediate Results": "Disable Intermediate Results",
+    "Disable intermediate results during generation, only show final gallery.": "Disable intermediate results during generation, only show final gallery.",
     "Inpaint Engine": "Inpaint Engine",
     "v1": "v1",
     "Version of Fooocus inpaint model": "Version of Fooocus inpaint model",
diff --git a/modules/async_worker.py b/modules/async_worker.py
index d0ce4ba9..a304e697 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -147,6 +147,7 @@ def worker():
         inpaint_additional_prompt = args.pop()
         inpaint_mask_image_upload = args.pop()
         disable_preview = args.pop()
+        disable_intermediate_results = args.pop()
         adm_scaler_positive = args.pop()
         adm_scaler_negative = args.pop()
         adm_scaler_end = args.pop()
@@ -842,7 +843,7 @@ def worker():
                     d.append(('Version', 'v' + fooocus_version.version))
                     log(x, d)
 
-                yield_result(async_task, imgs, do_not_show_finished_images=len(tasks) == 1)
+                yield_result(async_task, imgs, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
             except ldm_patched.modules.model_management.InterruptProcessingException as e:
                 if async_task.last_stop == 'skip':
                     print('User skipped')
diff --git a/webui.py b/webui.py
index 05b7d20e..0d8c3c04 100644
--- a/webui.py
+++ b/webui.py
@@ -390,6 +390,10 @@ with shared.gradio_root:
                                                                info='Set as negative number to disable. For developer debugging.')
                         disable_preview = gr.Checkbox(label='Disable Preview', value=False,
                                                       info='Disable preview during generation.')
+                        disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results', 
+                                                      value=modules.config.default_performance == 'Extreme Speed',
+                                                      interactive=modules.config.default_performance != 'Extreme Speed',
+                                                      info='Disable intermediate results during generation, only show final gallery.')
 
                     with gr.Tab(label='Control'):
                         debugging_cn_preprocessor = gr.Checkbox(label='Debug Preprocessors', value=False,
@@ -474,12 +478,13 @@ with shared.gradio_root:
                                     queue=False, show_progress=False)
 
         performance_selection.change(lambda x: [gr.update(interactive=x != 'Extreme Speed')] * 11 +
-                                               [gr.update(visible=x != 'Extreme Speed')] * 1,
+                                               [gr.update(visible=x != 'Extreme Speed')] * 1 +
+                                               [gr.update(interactive=x != 'Extreme Speed', value=x == 'Extreme Speed', )] * 1,
                                      inputs=performance_selection,
                                      outputs=[
                                          guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive,
                                          adm_scaler_negative, refiner_switch, refiner_model, sampler_name,
-                                         scheduler_name, adaptive_cfg, refiner_swap_method, negative_prompt
+                                         scheduler_name, adaptive_cfg, refiner_swap_method, negative_prompt, disable_intermediate_results
                                      ], queue=False, show_progress=False)
 
         advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, advanced_column,
@@ -529,7 +534,8 @@ with shared.gradio_root:
         ctrls += [input_image_checkbox, current_tab]
         ctrls += [uov_method, uov_input_image]
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
-        ctrls += [disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
+        ctrls += [disable_preview, disable_intermediate_results]
+        ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
         ctrls += [sampler_name, scheduler_name]
         ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
         ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]

From ef1999c52c8b0ae7fb26ee4563dfca9cc3b5c5c6 Mon Sep 17 00:00:00 2001
From: dooglewoogle <46539436+dooglewoogle@users.noreply.github.com>
Date: Mon, 26 Feb 2024 00:47:14 +1300
Subject: [PATCH 052/180] feat: add ability to load checkpoints and loras from
 multiple locations (#1256)

* Add ability to load checkpoints and loras from multiple locations

* Found another location a default path is required

* feat: use array as default

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 launch.py                   |  9 ++++-----
 modules/config.py           | 35 +++++++++++++++++++++++++----------
 modules/core.py             |  3 ++-
 modules/default_pipeline.py |  5 +++--
 modules/util.py             |  9 +++++++++
 5 files changed, 43 insertions(+), 18 deletions(-)

diff --git a/launch.py b/launch.py
index db174f54..4269f1fc 100644
--- a/launch.py
+++ b/launch.py
@@ -68,7 +68,6 @@ vae_approx_filenames = [
      'https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors')
 ]
 
-
 def ini_args():
     from args_manager import args
     return args
@@ -101,9 +100,9 @@ def download_models():
         return
 
     if not args.always_download_new_model:
-        if not os.path.exists(os.path.join(config.path_checkpoints, config.default_base_model_name)):
+        if not os.path.exists(os.path.join(config.paths_checkpoints[0], config.default_base_model_name)):
             for alternative_model_name in config.previous_default_models:
-                if os.path.exists(os.path.join(config.path_checkpoints, alternative_model_name)):
+                if os.path.exists(os.path.join(config.paths_checkpoints[0], alternative_model_name)):
                     print(f'You do not have [{config.default_base_model_name}] but you have [{alternative_model_name}].')
                     print(f'Fooocus will use [{alternative_model_name}] to avoid downloading new models, '
                           f'but you are not using latest models.')
@@ -113,11 +112,11 @@ def download_models():
                     break
 
     for file_name, url in config.checkpoint_downloads.items():
-        load_file_from_url(url=url, model_dir=config.path_checkpoints, file_name=file_name)
+        load_file_from_url(url=url, model_dir=config.paths_checkpoints[0], file_name=file_name)
     for file_name, url in config.embeddings_downloads.items():
         load_file_from_url(url=url, model_dir=config.path_embeddings, file_name=file_name)
     for file_name, url in config.lora_downloads.items():
-        load_file_from_url(url=url, model_dir=config.path_loras, file_name=file_name)
+        load_file_from_url(url=url, model_dir=config.paths_loras[0], file_name=file_name)
 
     return
 
diff --git a/modules/config.py b/modules/config.py
index 1f4e82eb..d3be1f21 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -114,7 +114,7 @@ def get_path_output() -> str:
     return path_output
 
 
-def get_dir_or_set_default(key, default_value):
+def get_dir_or_set_default(key, default_value, as_array=False):
     global config_dict, visited_keys, always_save_keys
 
     if key not in visited_keys:
@@ -125,18 +125,29 @@ def get_dir_or_set_default(key, default_value):
 
     v = config_dict.get(key, None)
     if isinstance(v, str) and os.path.exists(v) and os.path.isdir(v):
+        return v if not as_array else [v]
+    elif isinstance(v, list) and all([os.path.exists(d) and os.path.isdir(d) for d in v]):
         return v
     else:
         if v is not None:
             print(f'Failed to load config key: {json.dumps({key:v})} is invalid or does not exist; will use {json.dumps({key:default_value})} instead.')
-        dp = os.path.abspath(os.path.join(os.path.dirname(__file__), default_value))
-        os.makedirs(dp, exist_ok=True)
+        if isinstance(default_value, list):
+            dp = []
+            for path in default_value:
+                abs_path = os.path.abspath(os.path.join(os.path.dirname(__file__), path))
+                dp.append(abs_path)
+                os.makedirs(abs_path, exist_ok=True)
+        else:
+            dp = os.path.abspath(os.path.join(os.path.dirname(__file__), default_value))
+            os.makedirs(dp, exist_ok=True)
+            if as_array:
+                dp = [dp]
         config_dict[key] = dp
         return dp
 
 
-path_checkpoints = get_dir_or_set_default('path_checkpoints', '../models/checkpoints/')
-path_loras = get_dir_or_set_default('path_loras', '../models/loras/')
+paths_checkpoints = get_dir_or_set_default('path_checkpoints', ['../models/checkpoints/'], True)
+paths_loras = get_dir_or_set_default('path_loras', ['../models/loras/'], True)
 path_embeddings = get_dir_or_set_default('path_embeddings', '../models/embeddings/')
 path_vae_approx = get_dir_or_set_default('path_vae_approx', '../models/vae_approx/')
 path_upscale_models = get_dir_or_set_default('path_upscale_models', '../models/upscale_models/')
@@ -404,14 +415,18 @@ model_filenames = []
 lora_filenames = []
 
 
-def get_model_filenames(folder_path, name_filter=None):
-    return get_files_from_folder(folder_path, ['.pth', '.ckpt', '.bin', '.safetensors', '.fooocus.patch'], name_filter)
+def get_model_filenames(folder_paths, name_filter=None):
+    extensions = ['.pth', '.ckpt', '.bin', '.safetensors', '.fooocus.patch']
+    files = []
+    for folder in folder_paths:
+        files += get_files_from_folder(folder, extensions, name_filter)
+    return files
 
 
 def update_all_model_names():
     global model_filenames, lora_filenames
-    model_filenames = get_model_filenames(path_checkpoints)
-    lora_filenames = get_model_filenames(path_loras)
+    model_filenames = get_model_filenames(paths_checkpoints)
+    lora_filenames = get_model_filenames(paths_loras)
     return
 
 
@@ -456,7 +471,7 @@ def downloading_inpaint_models(v):
 def downloading_sdxl_lcm_lora():
     load_file_from_url(
         url='https://huggingface.co/lllyasviel/misc/resolve/main/sdxl_lcm_lora.safetensors',
-        model_dir=path_loras,
+        model_dir=paths_loras[0],
         file_name='sdxl_lcm_lora.safetensors'
     )
     return 'sdxl_lcm_lora.safetensors'
diff --git a/modules/core.py b/modules/core.py
index 7a29d988..bfc44966 100644
--- a/modules/core.py
+++ b/modules/core.py
@@ -18,6 +18,7 @@ from ldm_patched.contrib.external import VAEDecode, EmptyLatentImage, VAEEncode,
 from ldm_patched.contrib.external_freelunch import FreeU_V2
 from ldm_patched.modules.sample import prepare_mask
 from modules.lora import match_lora
+from modules.util import get_file_from_folder_list
 from ldm_patched.modules.lora import model_lora_keys_unet, model_lora_keys_clip
 from modules.config import path_embeddings
 from ldm_patched.contrib.external_model_advanced import ModelSamplingDiscrete
@@ -79,7 +80,7 @@ class StableDiffusionModel:
             if os.path.exists(name):
                 lora_filename = name
             else:
-                lora_filename = os.path.join(modules.config.path_loras, name)
+                lora_filename = get_file_from_folder_list(name, modules.config.paths_loras)
 
             if not os.path.exists(lora_filename):
                 print(f'Lora file not found: {lora_filename}')
diff --git a/modules/default_pipeline.py b/modules/default_pipeline.py
index 2f45667c..f8edfae1 100644
--- a/modules/default_pipeline.py
+++ b/modules/default_pipeline.py
@@ -11,6 +11,7 @@ from extras.expansion import FooocusExpansion
 
 from ldm_patched.modules.model_base import SDXL, SDXLRefiner
 from modules.sample_hijack import clip_separate
+from modules.util import get_file_from_folder_list
 
 
 model_base = core.StableDiffusionModel()
@@ -60,7 +61,7 @@ def assert_model_integrity():
 def refresh_base_model(name):
     global model_base
 
-    filename = os.path.abspath(os.path.realpath(os.path.join(modules.config.path_checkpoints, name)))
+    filename = get_file_from_folder_list(name, modules.config.paths_checkpoints)
 
     if model_base.filename == filename:
         return
@@ -76,7 +77,7 @@ def refresh_base_model(name):
 def refresh_refiner_model(name):
     global model_refiner
 
-    filename = os.path.abspath(os.path.realpath(os.path.join(modules.config.path_checkpoints, name)))
+    filename = get_file_from_folder_list(name, modules.config.paths_checkpoints)
 
     if model_refiner.filename == filename:
         return
diff --git a/modules/util.py b/modules/util.py
index 9d4d0996..3c23a992 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -177,5 +177,14 @@ def get_files_from_folder(folder_path, exensions=None, name_filter=None):
     return filenames
 
 
+def get_file_from_folder_list(name, folders):
+    for folder in folders:
+        filename = os.path.abspath(os.path.realpath(os.path.join(folder, name)))
+        if os.path.isfile(filename):
+            return filename
+
+    return os.path.abspath(os.path.realpath(os.path.join(folders[0], name)))
+
+
 def ordinal_suffix(number: int) -> str:
     return 'th' if 10 <= number % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(number % 10, 'th')

From 4d34f31a7207e7f2f4e2040be6a62fccd892a57d Mon Sep 17 00:00:00 2001
From: Maxim Saplin <smaxmail@gmail.com>
Date: Sun, 25 Feb 2024 19:14:17 +0300
Subject: [PATCH 053/180] feat: allow users to specify the number of threads
 when running on CPU (#1601)

* CPU_NUM_THREADS

* refactor: optimize code, type is already strict

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 ldm_patched/modules/args_parser.py      | 2 +-
 ldm_patched/modules/model_management.py | 3 +++
 readme.md                               | 2 +-
 3 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/ldm_patched/modules/args_parser.py b/ldm_patched/modules/args_parser.py
index e5b84dc1..272deb83 100644
--- a/ldm_patched/modules/args_parser.py
+++ b/ldm_patched/modules/args_parser.py
@@ -100,7 +100,7 @@ vram_group.add_argument("--always-high-vram", action="store_true")
 vram_group.add_argument("--always-normal-vram", action="store_true")
 vram_group.add_argument("--always-low-vram", action="store_true")
 vram_group.add_argument("--always-no-vram", action="store_true")
-vram_group.add_argument("--always-cpu", action="store_true")
+vram_group.add_argument("--always-cpu", type=int, nargs="?", metavar="CPU_NUM_THREADS", const=-1)
 
 
 parser.add_argument("--always-offload-from-vram", action="store_true")
diff --git a/ldm_patched/modules/model_management.py b/ldm_patched/modules/model_management.py
index 6f88579d..840d79a0 100644
--- a/ldm_patched/modules/model_management.py
+++ b/ldm_patched/modules/model_management.py
@@ -60,6 +60,9 @@ except:
     pass
 
 if args.always_cpu:
+    if args.always_cpu > 0:
+        torch.set_num_threads(args.always_cpu)
+    print(f"Running on {torch.get_num_threads()} CPU threads")
     cpu_state = CPUState.CPU
 
 def is_intel_xpu():
diff --git a/readme.md b/readme.md
index fa7e829c..18b48f3a 100644
--- a/readme.md
+++ b/readme.md
@@ -370,7 +370,7 @@ entry_with_update.py  [-h] [--listen [IP]] [--port PORT]
                       [--attention-split | --attention-quad | --attention-pytorch]
                       [--disable-xformers]
                       [--always-gpu | --always-high-vram | --always-normal-vram | 
-                       --always-low-vram | --always-no-vram | --always-cpu]
+                       --always-low-vram | --always-no-vram | --always-cpu [CPU_NUM_THREADS]]
                       [--always-offload-from-vram] [--disable-server-log]
                       [--debug-mode] [--is-windows-embedded-python]
                       [--disable-server-info] [--share] [--preset PRESET]

From 9c19300a3e3ed184b0d27fbd8fc6bc52eb2d38cb Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 25 Feb 2024 18:04:46 +0100
Subject: [PATCH 054/180] feat: improve bug report and feature request issue
 templates (#1631)

* refactor and improve bug report and feature request issue templates

* update operating system placeholder to Windows 10

most common usage i assume

* use already existing label "enhancement" instead of "feature"

* feat: add checkbox for latest version check, add triage to feature requests

* feat: add link to ask a question

* feat: use templates of stable-diffusion-webui-forge as basis

* feat: add optional hosting and operating system inputs
---
 .github/ISSUE_TEMPLATE/bug_report.md       |  18 ----
 .github/ISSUE_TEMPLATE/bug_report.yml      | 106 +++++++++++++++++++++
 .github/ISSUE_TEMPLATE/config.yml          |   5 +
 .github/ISSUE_TEMPLATE/feature_request.md  |  14 ---
 .github/ISSUE_TEMPLATE/feature_request.yml |  40 ++++++++
 5 files changed, 151 insertions(+), 32 deletions(-)
 delete mode 100644 .github/ISSUE_TEMPLATE/bug_report.md
 create mode 100644 .github/ISSUE_TEMPLATE/bug_report.yml
 create mode 100644 .github/ISSUE_TEMPLATE/config.yml
 delete mode 100644 .github/ISSUE_TEMPLATE/feature_request.md
 create mode 100644 .github/ISSUE_TEMPLATE/feature_request.yml

diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
deleted file mode 100644
index 624cfe3e..00000000
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ /dev/null
@@ -1,18 +0,0 @@
----
-name: Bug report
-about: Describe a problem
-title: ''
-labels: ''
-assignees: ''
-
----
-
-**Read Troubleshoot**
-
-[x] I confirm that I have read the [Troubleshoot](https://github.com/lllyasviel/Fooocus/blob/main/troubleshoot.md) guide before making this issue.
-
-**Describe the problem**
-A clear and concise description of what the bug is.
-
-**Full Console Log**
-Paste the **full** console log here. You will make our job easier if you give a **full** log.
diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
new file mode 100644
index 00000000..483e0de1
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -0,0 +1,106 @@
+name: Bug Report
+description: You think something is broken in Fooocus
+title: "[Bug]: "
+labels: ["bug", "triage"]
+
+body:
+  - type: markdown
+    attributes:
+      value: |
+        > The title of the bug report should be short and descriptive.
+        > Use relevant keywords for searchability.
+        > Do not leave it blank, but also do not put an entire error log in it.
+  - type: checkboxes
+    attributes:
+      label: Checklist
+      description: |
+        Please perform basic debugging to see if your configuration is the cause of the issue.
+        Basic debug procedure
+        　2. Update Fooocus - sometimes things just need to be updated
+        　3. Backup and remove your config.txt - check if the issue is caused by bad configuration
+        　5. Try a fresh installation of Fooocus in a different directory - see if a clean installation solves the issue
+        Before making a issue report please, check that the issue hasn't been reported recently.
+      options:
+        - label: The issue exists on a clean installation of Fooocus
+        - label: The issue exists in the current version of Fooocus
+        - label: The issue has not been reported before recently
+        - label: The issue has been reported before but has not been fixed yet
+  - type: markdown
+    attributes:
+      value: |
+        > Please fill this form with as much information as possible. Don't forget to add information about "What browsers" and provide screenshots if possible
+  - type: textarea
+    id: what-did
+    attributes:
+      label: What happened?
+      description: Tell us what happened in a very clear and simple way
+      placeholder: |
+        image generation is not working as intended.
+    validations:
+      required: true
+  - type: textarea
+    id: steps
+    attributes:
+      label: Steps to reproduce the problem
+      description: Please provide us with precise step by step instructions on how to reproduce the bug
+      placeholder: |
+        1. Go to ...
+        2. Press ...
+        3. ...
+    validations:
+      required: true
+  - type: textarea
+    id: what-should
+    attributes:
+      label: What should have happened?
+      description: Tell us what you think the normal behavior should be
+      placeholder: |
+        Fooocus should ...
+    validations:
+      required: true
+  - type: dropdown
+    id: browsers
+    attributes:
+      label: What browsers do you use to access Fooocus?
+      multiple: true
+      options:
+        - Mozilla Firefox
+        - Google Chrome
+        - Brave
+        - Apple Safari
+        - Microsoft Edge
+        - Android
+        - iOS
+        - Other
+  - type: dropdown
+    id: hosting
+    attributes:
+      label: Where are you running Fooocus?
+      multiple: false
+      options:
+        - Locally
+        - Locally with virtualization (e.g. Docker)
+        - Cloud (Google Colab)
+        - Cloud (other)
+  - type: input
+    id: operating-system
+    attributes:
+      label: What operating system are you using?
+      placeholder: |
+        Windows 10
+  - type: textarea
+    id: logs
+    attributes:
+      label: Console logs
+      description: Please provide **full** cmd/terminal logs from the moment you started UI to the end of it, after the bug occured. If it's very long, provide a link to pastebin or similar service.
+      render: Shell
+    validations:
+      required: true
+  - type: textarea
+    id: misc
+    attributes:
+      label: Additional information
+      description: | 
+        Please provide us with any relevant additional info or context.
+        Examples:
+        　I have updated my GPU driver recently.
\ No newline at end of file
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
new file mode 100644
index 00000000..7bbf022a
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1,5 @@
+blank_issues_enabled: false
+contact_links:
+  - name: Ask a question
+    url: https://github.com/lllyasviel/Fooocus/discussions/new?category=q-a
+    about: Ask the community for help
\ No newline at end of file
diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md
deleted file mode 100644
index 8101bc36..00000000
--- a/.github/ISSUE_TEMPLATE/feature_request.md
+++ /dev/null
@@ -1,14 +0,0 @@
----
-name: Feature request
-about: Suggest an idea for this project
-title: ''
-labels: ''
-assignees: ''
-
----
-
-**Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
-
-**Describe the idea you'd like**
-A clear and concise description of what you want to happen.
diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml
new file mode 100644
index 00000000..90e594e4
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -0,0 +1,40 @@
+name: Feature request
+description: Suggest an idea for this project
+title: "[Feature Request]: "
+labels: ["enhancement", "triage"]
+
+body:
+  - type: checkboxes
+    attributes:
+      label: Is there an existing issue for this?
+      description: Please search to see if an issue already exists for the feature you want, and that it's not implemented in a recent build/commit.
+      options:
+        - label: I have searched the existing issues and checked the recent builds/commits
+          required: true
+  - type: markdown
+    attributes:
+      value: |
+        *Please fill this form with as much information as possible, provide screenshots and/or illustrations of the feature if possible*
+  - type: textarea
+    id: feature
+    attributes:
+      label: What would your feature do?
+      description: Tell us about your feature in a very clear and simple way, and what problem it would solve
+    validations:
+      required: true
+  - type: textarea
+    id: workflow
+    attributes:
+      label: Proposed workflow
+      description: Please provide us with step by step information on how you'd like the feature to be accessed and used
+      value: |
+        1. Go to .... 
+        2. Press ....
+        3. ...
+    validations:
+      required: true
+  - type: textarea
+    id: misc
+    attributes:
+      label: Additional information
+      description: Add any other context or screenshots about the feature request here.
\ No newline at end of file

From b5f019fb6237ef0074f3e930f6176e4635456ff3 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 25 Feb 2024 18:41:43 +0100
Subject: [PATCH 055/180] fix: correctly create directory for path_outputs if
 not existing (#1668)

* correctly create directory for outputs if not existing

* feat: add make_directory parameter checks for list, extract make_directory to util
---
 modules/config.py | 55 ++++++++++++++++++++++++++---------------------
 modules/util.py   |  7 ++++++
 2 files changed, 37 insertions(+), 25 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index d3be1f21..6f713916 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -7,7 +7,7 @@ import modules.flags
 import modules.sdxl_styles
 
 from modules.model_loader import load_file_from_url
-from modules.util import get_files_from_folder
+from modules.util import get_files_from_folder, makedirs_with_log
 
 
 config_path = os.path.abspath("./config.txt")
@@ -107,14 +107,14 @@ def get_path_output() -> str:
     Checking output path argument and overriding default path.
     """
     global config_dict
-    path_output = get_dir_or_set_default('path_outputs', '../outputs/')
+    path_output = get_dir_or_set_default('path_outputs', '../outputs/', make_directory=True)
     if args_manager.args.output_path:
         print(f'[CONFIG] Overriding config value path_outputs with {args_manager.args.output_path}')
         config_dict['path_outputs'] = path_output = args_manager.args.output_path
     return path_output
 
 
-def get_dir_or_set_default(key, default_value, as_array=False):
+def get_dir_or_set_default(key, default_value, as_array=False, make_directory=False):
     global config_dict, visited_keys, always_save_keys
 
     if key not in visited_keys:
@@ -124,26 +124,34 @@ def get_dir_or_set_default(key, default_value, as_array=False):
         always_save_keys.append(key)
 
     v = config_dict.get(key, None)
-    if isinstance(v, str) and os.path.exists(v) and os.path.isdir(v):
-        return v if not as_array else [v]
-    elif isinstance(v, list) and all([os.path.exists(d) and os.path.isdir(d) for d in v]):
-        return v
+
+    if isinstance(v, str):
+        if make_directory:
+            makedirs_with_log(v)
+        if os.path.exists(v) and os.path.isdir(v):
+            return v if not as_array else [v]
+    elif isinstance(v, list):
+        if make_directory:
+            for d in v:
+                makedirs_with_log(d)
+        if all([os.path.exists(d) and os.path.isdir(d) for d in v]):
+            return v
+
+    if v is not None:
+        print(f'Failed to load config key: {json.dumps({key:v})} is invalid or does not exist; will use {json.dumps({key:default_value})} instead.')
+    if isinstance(default_value, list):
+        dp = []
+        for path in default_value:
+            abs_path = os.path.abspath(os.path.join(os.path.dirname(__file__), path))
+            dp.append(abs_path)
+            os.makedirs(abs_path, exist_ok=True)
     else:
-        if v is not None:
-            print(f'Failed to load config key: {json.dumps({key:v})} is invalid or does not exist; will use {json.dumps({key:default_value})} instead.')
-        if isinstance(default_value, list):
-            dp = []
-            for path in default_value:
-                abs_path = os.path.abspath(os.path.join(os.path.dirname(__file__), path))
-                dp.append(abs_path)
-                os.makedirs(abs_path, exist_ok=True)
-        else:
-            dp = os.path.abspath(os.path.join(os.path.dirname(__file__), default_value))
-            os.makedirs(dp, exist_ok=True)
-            if as_array:
-                dp = [dp]
-        config_dict[key] = dp
-        return dp
+        dp = os.path.abspath(os.path.join(os.path.dirname(__file__), default_value))
+        os.makedirs(dp, exist_ok=True)
+        if as_array:
+            dp = [dp]
+    config_dict[key] = dp
+    return dp
 
 
 paths_checkpoints = get_dir_or_set_default('path_checkpoints', ['../models/checkpoints/'], True)
@@ -408,9 +416,6 @@ with open(config_example_path, "w", encoding="utf-8") as json_file:
                       'and there is no "," before the last "}". \n\n\n')
     json.dump({k: config_dict[k] for k in visited_keys}, json_file, indent=4)
 
-
-os.makedirs(path_outputs, exist_ok=True)
-
 model_filenames = []
 lora_filenames = []
 
diff --git a/modules/util.py b/modules/util.py
index 3c23a992..1b165115 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -188,3 +188,10 @@ def get_file_from_folder_list(name, folders):
 
 def ordinal_suffix(number: int) -> str:
     return 'th' if 10 <= number % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(number % 10, 'th')
+
+
+def makedirs_with_log(path):
+    try:
+        os.makedirs(path, exist_ok=True)
+    except OSError as error:
+        print(f'Directory {path} could not be created, reason: {error}')

From eebd7752ab7aaa42e4928d1472115bb896468286 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 25 Feb 2024 18:44:28 +0100
Subject: [PATCH 056/180] fix: allow path_outputs to be outside of root dir
 (#2332)

allows Gradio to serve outputs when folder has been changed in the config
---
 webui.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/webui.py b/webui.py
index 0d8c3c04..6d72c67c 100644
--- a/webui.py
+++ b/webui.py
@@ -635,5 +635,6 @@ shared.gradio_root.launch(
     server_port=args_manager.args.port,
     share=args_manager.args.share,
     auth=check_auth if (args_manager.args.share or args_manager.args.listen) and auth_enabled else None,
+    allowed_paths=[modules.config.path_outputs],
     blocked_paths=[constants.AUTH_FILENAME]
 )

From 468d704b299e0bf10ace1662506289ccd85be018 Mon Sep 17 00:00:00 2001
From: MindOfMatter <35126123+MindOfMatter@users.noreply.github.com>
Date: Sun, 25 Feb 2024 13:59:28 -0500
Subject: [PATCH 057/180] feat: add button to enable LoRAs (#2210)

* Initial commit

* Update README.md

* sync with original main Fooocus repo

* update with my gitignore setup

* add max lora config feature

* Revert "add max lora config feature"

This reverts commit cfe7463fe25475b6d59f36072ade410a2d8d5124.

* add lora enabler feature

* Update README.md

* Update .gitignore

* update

* merge

* revert changes

* revert

* feat: change width of LoRA columns

* refactor: rename lora_enable to lora_enabled, optimize code

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 modules/async_worker.py | 10 +++++++++-
 modules/html.py         | 24 ++++++++++++++++++++++++
 modules/meta_parser.py  |  6 ++++--
 webui.py                |  9 ++++++---
 4 files changed, 43 insertions(+), 6 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index a304e697..34cd2e5a 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -115,6 +115,14 @@ def worker():
         # must use deep copy otherwise gradio is super laggy. Do not use list.append() .
         async_task.results = async_task.results + [wall]
         return
+    
+    def apply_enabled_loras(loras):
+        enabled_loras = []
+        for lora_enabled, lora_model, lora_weight in loras:
+            if lora_enabled:
+                enabled_loras.append([lora_model, lora_weight])
+                
+        return enabled_loras
 
     @torch.no_grad()
     @torch.inference_mode()
@@ -137,7 +145,7 @@ def worker():
         base_model_name = args.pop()
         refiner_model_name = args.pop()
         refiner_switch = args.pop()
-        loras = [[str(args.pop()), float(args.pop())] for _ in range(5)]
+        loras = apply_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop()), ] for _ in range(5)])
         input_image_checkbox = args.pop()
         current_tab = args.pop()
         uov_method = args.pop()
diff --git a/modules/html.py b/modules/html.py
index 3ec6f2d6..47a1483a 100644
--- a/modules/html.py
+++ b/modules/html.py
@@ -112,6 +112,30 @@ progress::after {
     margin-left: -5px !important;
 }
 
+.lora_enable {
+  flex-grow: 1 !important;
+}
+
+.lora_enable label {
+  height: 100%;
+}
+
+.lora_enable label input {
+  margin: auto;
+}
+
+.lora_enable label span {
+  display: none;
+}
+
+.lora_model {
+  flex-grow: 5 !important;
+}
+
+.lora_weight {
+  flex-grow: 5 !important;
+}
+
 '''
 progress_html = '''
 <div class="loader-container">
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 07b42a16..bd8f555e 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -139,10 +139,12 @@ def load_parameter_button_click(raw_prompt_txt, is_generating):
         try:
             n, w = loaded_parameter_dict.get(f'LoRA {i}').split(' : ')
             w = float(w)
+            results.append(True)
             results.append(n)
             results.append(w)
         except:
-            results.append(gr.update())
-            results.append(gr.update())
+            results.append(True)
+            results.append("None")
+            results.append(1.0)
 
     return results
diff --git a/webui.py b/webui.py
index 6d72c67c..1463ff90 100644
--- a/webui.py
+++ b/webui.py
@@ -322,11 +322,14 @@ with shared.gradio_root:
 
                     for i, (n, v) in enumerate(modules.config.default_loras):
                         with gr.Row():
+                            lora_enabled = gr.Checkbox(label='Enable', value=True,
+                                                       elem_classes=['lora_enable', 'min_check'])
                             lora_model = gr.Dropdown(label=f'LoRA {i + 1}',
-                                                     choices=['None'] + modules.config.lora_filenames, value=n)
+                                                     choices=['None'] + modules.config.lora_filenames, value=n,
+                                                     elem_classes='lora_model')
                             lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=v,
                                                     elem_classes='lora_weight')
-                            lora_ctrls += [lora_model, lora_weight]
+                            lora_ctrls += [lora_enabled, lora_model, lora_weight]
 
                 with gr.Row():
                     model_refresh = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
@@ -471,7 +474,7 @@ with shared.gradio_root:
                     results = []
                     results += [gr.update(choices=modules.config.model_filenames), gr.update(choices=['None'] + modules.config.model_filenames)]
                     for i in range(5):
-                        results += [gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
+                        results += [gr.update(choices=['None'] + modules.config.lora_filenames), gr.update(), gr.update(interactive=True)]
                     return results
 
                 model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,

From 18f9f7dc313ee279fd3241784aafad9e948b402b Mon Sep 17 00:00:00 2001
From: MindOfMatter <35126123+MindOfMatter@users.noreply.github.com>
Date: Sun, 25 Feb 2024 15:12:26 -0500
Subject: [PATCH 058/180] feat: make lora number editable in config (#2215)

* Initial commit

* Update README.md

* sync with original main Fooocus repo

* update with my gitignore setup

* add max lora config feature

* Revert "add max lora config feature"

This reverts commit cfe7463fe25475b6d59f36072ade410a2d8d5124.

* add max loras config feature

* Update README.md

* Update .gitignore

* update

* merge

* revert

* refactor: rename default_loras_max_number to default_max_lora_number, validate config for int

* fix: add missing patch_all call and imports again

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 modules/async_worker.py | 7 +++----
 modules/config.py       | 8 +++++++-
 modules/meta_parser.py  | 6 +++---
 webui.py                | 8 ++++----
 4 files changed, 17 insertions(+), 12 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 34cd2e5a..47848ad6 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -4,7 +4,6 @@ from modules.patch import PatchSettings, patch_settings, patch_all
 
 patch_all()
 
-
 class AsyncTask:
     def __init__(self, args):
         self.args = args
@@ -115,13 +114,13 @@ def worker():
         # must use deep copy otherwise gradio is super laggy. Do not use list.append() .
         async_task.results = async_task.results + [wall]
         return
-    
+
     def apply_enabled_loras(loras):
         enabled_loras = []
         for lora_enabled, lora_model, lora_weight in loras:
             if lora_enabled:
                 enabled_loras.append([lora_model, lora_weight])
-                
+
         return enabled_loras
 
     @torch.no_grad()
@@ -145,7 +144,7 @@ def worker():
         base_model_name = args.pop()
         refiner_model_name = args.pop()
         refiner_switch = args.pop()
-        loras = apply_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop()), ] for _ in range(5)])
+        loras = apply_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop()), ] for _ in range(modules.config.default_max_lora_number)])
         input_image_checkbox = args.pop()
         current_tab = args.pop()
         uov_method = args.pop()
diff --git a/modules/config.py b/modules/config.py
index 6f713916..bb1ee26c 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -235,6 +235,11 @@ default_loras = get_config_item_or_set_default(
     ],
     validator=lambda x: isinstance(x, list) and all(len(y) == 2 and isinstance(y[0], str) and isinstance(y[1], numbers.Number) for y in x)
 )
+default_max_lora_number = get_config_item_or_set_default(
+    key='default_max_lora_number',
+    default_value=len(default_loras),
+    validator=lambda x: isinstance(x, int) and x >= 1
+)
 default_cfg_scale = get_config_item_or_set_default(
     key='default_cfg_scale',
     default_value=7.0,
@@ -357,13 +362,14 @@ example_inpaint_prompts = get_config_item_or_set_default(
 
 example_inpaint_prompts = [[x] for x in example_inpaint_prompts]
 
-config_dict["default_loras"] = default_loras = default_loras[:5] + [['None', 1.0] for _ in range(5 - len(default_loras))]
+config_dict["default_loras"] = default_loras = default_loras[:default_max_lora_number] + [['None', 1.0] for _ in range(default_max_lora_number - len(default_loras))]
 
 possible_preset_keys = [
     "default_model",
     "default_refiner",
     "default_refiner_switch",
     "default_loras",
+    "default_max_lora_number",
     "default_cfg_scale",
     "default_sample_sharpness",
     "default_sampler",
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index bd8f555e..061e1f8a 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -135,16 +135,16 @@ def load_parameter_button_click(raw_prompt_txt, is_generating):
     
     results.append(gr.update(visible=False))
 
-    for i in range(1, 6):
+    for i in range(1, modules.config.default_max_lora_number + 1):
         try:
-            n, w = loaded_parameter_dict.get(f'LoRA {i}').split(' : ')
+            n, w = loaded_parameter_dict.get(f'LoRA {i}', ' : ').split(' : ')
             w = float(w)
             results.append(True)
             results.append(n)
             results.append(w)
         except:
             results.append(True)
-            results.append("None")
+            results.append('None')
             results.append(1.0)
 
     return results
diff --git a/webui.py b/webui.py
index 1463ff90..270f0ffa 100644
--- a/webui.py
+++ b/webui.py
@@ -471,10 +471,10 @@ with shared.gradio_root:
 
                 def model_refresh_clicked():
                     modules.config.update_all_model_names()
-                    results = []
-                    results += [gr.update(choices=modules.config.model_filenames), gr.update(choices=['None'] + modules.config.model_filenames)]
-                    for i in range(5):
-                        results += [gr.update(choices=['None'] + modules.config.lora_filenames), gr.update(), gr.update(interactive=True)]
+                    results = [gr.update(choices=modules.config.model_filenames)]
+                    results += [gr.update(choices=['None'] + modules.config.model_filenames)]
+                    for i in range(modules.config.default_max_lora_number):
+                        results += [gr.update(interactive=True), gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
                     return results
 
                 model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,

From 3be76ef8a3d503273f3800fa35b8148888bb9d4d Mon Sep 17 00:00:00 2001
From: MindOfMatter <35126123+MindOfMatter@users.noreply.github.com>
Date: Sun, 25 Feb 2024 15:36:25 -0500
Subject: [PATCH 059/180] feat: make lora min max weight editable in config
 (#2216)

* Initial commit

* Update README.md

* sync with original main Fooocus repo

* update with my gitignore setup

* add min max weight configs feature

* add max lora config feature

* Revert "add max lora config feature"

This reverts commit cfe7463fe25475b6d59f36072ade410a2d8d5124.

* Update README.md

* Update .gitignore

* update

* merge

* revert

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 modules/config.py | 12 ++++++++++++
 webui.py          |  3 ++-
 2 files changed, 14 insertions(+), 1 deletion(-)

diff --git a/modules/config.py b/modules/config.py
index bb1ee26c..acf19b60 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -209,6 +209,16 @@ default_refiner_switch = get_config_item_or_set_default(
     default_value=0.8,
     validator=lambda x: isinstance(x, numbers.Number) and 0 <= x <= 1
 )
+default_loras_min_weight = get_config_item_or_set_default(
+    key='default_loras_min_weight',
+    default_value=-2,
+    validator=lambda x: isinstance(x, numbers.Number) and -10 <= x <= 10
+)
+default_loras_max_weight = get_config_item_or_set_default(
+    key='default_loras_max_weight',
+    default_value=2,
+    validator=lambda x: isinstance(x, numbers.Number) and -10 <= x <= 10
+)
 default_loras = get_config_item_or_set_default(
     key='default_loras',
     default_value=[
@@ -368,6 +378,8 @@ possible_preset_keys = [
     "default_model",
     "default_refiner",
     "default_refiner_switch",
+    "default_loras_min_weight",
+    "default_loras_max_weight",
     "default_loras",
     "default_max_lora_number",
     "default_cfg_scale",
diff --git a/webui.py b/webui.py
index 270f0ffa..a3cb45e4 100644
--- a/webui.py
+++ b/webui.py
@@ -327,7 +327,8 @@ with shared.gradio_root:
                             lora_model = gr.Dropdown(label=f'LoRA {i + 1}',
                                                      choices=['None'] + modules.config.lora_filenames, value=n,
                                                      elem_classes='lora_model')
-                            lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=v,
+                            lora_weight = gr.Slider(label='Weight', minimum=modules.config.default_loras_min_weight,
+                                                    maximum=modules.config.default_loras_max_weight, step=0.01, value=v,
                                                     elem_classes='lora_weight')
                             lora_ctrls += [lora_enabled, lora_model, lora_weight]
 

From c898e6a4dca5199653e0f05e0420c6d158bdd4f2 Mon Sep 17 00:00:00 2001
From: Brian Flannery <flannerybhmail@gmail.com>
Date: Sun, 25 Feb 2024 15:22:49 -0600
Subject: [PATCH 060/180] feat: add array support on main prompt (#1503)

* prompt array support

* update change log

* update change log

* docs: remove 2.1.847 change log

* refactor: rename freeze_seed to disable_seed_increment, move to developer debug mode

* feat: add translation for new labels

* fix: use task_rng based on task_seed, not initial seed

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 language/en.json        |  2 ++
 modules/async_worker.py | 11 ++++++++---
 modules/sdxl_styles.py  | 36 ++++++++++++++++++++++++++++++++++++
 webui.py                |  5 ++++-
 4 files changed, 50 insertions(+), 4 deletions(-)

diff --git a/language/en.json b/language/en.json
index 8a782e3f..a3e47c1a 100644
--- a/language/en.json
+++ b/language/en.json
@@ -48,6 +48,8 @@
     "Describing what you do not want to see.": "Describing what you do not want to see.",
     "Random": "Random",
     "Seed": "Seed",
+    "Disable seed increment": "Disable seed increment",
+    "Disable automatic seed increment when image number is > 1.": "Disable automatic seed increment when image number is > 1.",
     "\ud83d\udcda History Log": "\uD83D\uDCDA History Log",
     "Image Style": "Image Style",
     "Fooocus V2": "Fooocus V2",
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 47848ad6..4fca0966 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -40,7 +40,7 @@ def worker():
     import extras.face_crop
     import fooocus_version
 
-    from modules.sdxl_styles import apply_style, apply_wildcards, fooocus_expansion
+    from modules.sdxl_styles import apply_style, apply_wildcards, fooocus_expansion, apply_arrays
     from modules.private_logger import log
     from extras.expansion import safe_str
     from modules.util import remove_empty_str, HWC3, resize_image, \
@@ -155,6 +155,7 @@ def worker():
         inpaint_mask_image_upload = args.pop()
         disable_preview = args.pop()
         disable_intermediate_results = args.pop()
+        disable_seed_increment = args.pop()
         adm_scaler_positive = args.pop()
         adm_scaler_negative = args.pop()
         adm_scaler_end = args.pop()
@@ -424,10 +425,14 @@ def worker():
             progressbar(async_task, 3, 'Processing prompts ...')
             tasks = []
             for i in range(image_number):
-                task_seed = (seed + i) % (constants.MAX_SEED + 1)  # randint is inclusive, % is not
-                task_rng = random.Random(task_seed)  # may bind to inpaint noise in the future
+                if disable_seed_increment:
+                    task_seed = seed
+                else:
+                    task_seed = (seed + i) % (constants.MAX_SEED + 1)  # randint is inclusive, % is not
 
+                task_rng = random.Random(task_seed)  # may bind to inpaint noise in the future
                 task_prompt = apply_wildcards(prompt, task_rng)
+                task_prompt = apply_arrays(task_prompt, i)
                 task_negative_prompt = apply_wildcards(negative_prompt, task_rng)
                 task_extra_positive_prompts = [apply_wildcards(pmt, task_rng) for pmt in extra_positive_prompts]
                 task_extra_negative_prompts = [apply_wildcards(pmt, task_rng) for pmt in extra_negative_prompts]
diff --git a/modules/sdxl_styles.py b/modules/sdxl_styles.py
index f5bb6276..71afc402 100644
--- a/modules/sdxl_styles.py
+++ b/modules/sdxl_styles.py
@@ -1,6 +1,7 @@
 import os
 import re
 import json
+import math
 
 from modules.util import get_files_from_folder
 
@@ -80,3 +81,38 @@ def apply_wildcards(wildcard_text, rng, directory=wildcards_path):
 
     print(f'[Wildcards] BFS stack overflow. Current text: {wildcard_text}')
     return wildcard_text
+
+def get_words(arrays, totalMult, index):
+    if(len(arrays) == 1):
+        return [arrays[0].split(',')[index]]
+    else:
+        words = arrays[0].split(',')
+        word = words[index % len(words)]
+        index -= index % len(words)
+        index /= len(words)
+        index = math.floor(index)
+        return [word] + get_words(arrays[1:], math.floor(totalMult/len(words)), index)
+
+
+
+def apply_arrays(text, index):
+    arrays = re.findall(r'\[\[([\s,\w-]+)\]\]', text)
+    if len(arrays) == 0:
+        return text
+
+    print(f'[Arrays] processing: {text}')
+    mult = 1
+    for arr in arrays:
+        words = arr.split(',')
+        mult *= len(words)
+    
+    index %= mult
+    chosen_words = get_words(arrays, mult, index)
+    
+    i = 0
+    for arr in arrays:
+        text = text.replace(f'[[{arr}]]', chosen_words[i], 1)   
+        i = i+1
+    
+    return text
+
diff --git a/webui.py b/webui.py
index a3cb45e4..14ba2a1f 100644
--- a/webui.py
+++ b/webui.py
@@ -398,6 +398,9 @@ with shared.gradio_root:
                                                       value=modules.config.default_performance == 'Extreme Speed',
                                                       interactive=modules.config.default_performance != 'Extreme Speed',
                                                       info='Disable intermediate results during generation, only show final gallery.')
+                        disable_seed_increment = gr.Checkbox(label='Disable seed increment',
+                                                             info='Disable automatic seed increment when image number is > 1.',
+                                                             value=False)
 
                     with gr.Tab(label='Control'):
                         debugging_cn_preprocessor = gr.Checkbox(label='Debug Preprocessors', value=False,
@@ -538,7 +541,7 @@ with shared.gradio_root:
         ctrls += [input_image_checkbox, current_tab]
         ctrls += [uov_method, uov_input_image]
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
-        ctrls += [disable_preview, disable_intermediate_results]
+        ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment]
         ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
         ctrls += [sampler_name, scheduler_name]
         ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]

From d3113f5c3f6aa266cf9cae498690cece6f3784c3 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 25 Feb 2024 22:56:38 +0100
Subject: [PATCH 061/180] feat: use consistent file name in gradio (#1932)

* feat: use consistent file name in gradio

returns and uses filepaths instead of numpy image by saving to temp dir
uses double the temp dir file storage on disk as it saves to temp dir and gradio temp dir when displaying the image, but reuses logged output image

* feat: delete temp images after yielding to gradio

* feat: use args temp path if given

* chore: code cleanup, remove redundant if statement
---
 args_manager.py                    |  6 ++++++
 ldm_patched/modules/args_parser.py |  1 -
 modules/async_worker.py            |  9 +++++----
 modules/private_logger.py          | 16 +++++++++-------
 webui.py                           |  5 +++++
 5 files changed, 25 insertions(+), 12 deletions(-)

diff --git a/args_manager.py b/args_manager.py
index eeb38e1f..1675c31d 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -1,5 +1,7 @@
 import ldm_patched.modules.args_parser as args_parser
+import os
 
+from tempfile import gettempdir
 
 args_parser.parser.add_argument("--share", action='store_true', help="Set whether to share on Gradio.")
 args_parser.parser.add_argument("--preset", type=str, default=None, help="Apply specified UI preset.")
@@ -40,7 +42,11 @@ args_parser.args.always_offload_from_vram = not args_parser.args.disable_offload
 if args_parser.args.disable_analytics:
     import os
     os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
+
 if args_parser.args.disable_in_browser:
     args_parser.args.in_browser = False
 
+if args_parser.args.temp_path is None:
+    args_parser.args.temp_path = os.path.join(gettempdir(), 'Fooocus')
+
 args = args_parser.args
diff --git a/ldm_patched/modules/args_parser.py b/ldm_patched/modules/args_parser.py
index 272deb83..0c6165a7 100644
--- a/ldm_patched/modules/args_parser.py
+++ b/ldm_patched/modules/args_parser.py
@@ -102,7 +102,6 @@ vram_group.add_argument("--always-low-vram", action="store_true")
 vram_group.add_argument("--always-no-vram", action="store_true")
 vram_group.add_argument("--always-cpu", type=int, nargs="?", metavar="CPU_NUM_THREADS", const=-1)
 
-
 parser.add_argument("--always-offload-from-vram", action="store_true")
 parser.add_argument("--pytorch-deterministic", action="store_true")
 
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 4fca0966..2a31aae1 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -563,8 +563,8 @@ def worker():
 
             if direct_return:
                 d = [('Upscale (Fast)', '2x')]
-                log(uov_input_image, d)
-                yield_result(async_task, uov_input_image, do_not_show_finished_images=True)
+                uov_input_image_path = log(uov_input_image, d)
+                yield_result(async_task, uov_input_image_path, do_not_show_finished_images=True)
                 return
 
             tiled = True
@@ -828,6 +828,7 @@ def worker():
                 if inpaint_worker.current_task is not None:
                     imgs = [inpaint_worker.current_task.post_process(x) for x in imgs]
 
+                img_paths = []
                 for x in imgs:
                     d = [
                         ('Prompt', task['log_positive_prompt']),
@@ -853,9 +854,9 @@ def worker():
                         if n != 'None':
                             d.append((f'LoRA {li + 1}', f'{n} : {w}'))
                     d.append(('Version', 'v' + fooocus_version.version))
-                    log(x, d)
+                    img_paths.append(log(x, d))
 
-                yield_result(async_task, imgs, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
+                yield_result(async_task, img_paths, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
             except ldm_patched.modules.model_management.InterruptProcessingException as e:
                 if async_task.last_stop == 'skip':
                     print('User skipped')
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 49f17dca..506b1055 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -6,7 +6,7 @@ import urllib.parse
 
 from PIL import Image
 from modules.util import generate_temp_filename
-
+from tempfile import gettempdir
 
 log_cache = {}
 
@@ -18,13 +18,15 @@ def get_current_html_path():
     return html_name
 
 
-def log(img, dic):
-    if args_manager.args.disable_image_log:
-        return
-
-    date_string, local_temp_filename, only_name = generate_temp_filename(folder=modules.config.path_outputs, extension='png')
+def log(img, dic) -> str:
+    path_outputs = args_manager.args.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
+    date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension='png')
     os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True)
     Image.fromarray(img).save(local_temp_filename)
+
+    if args_manager.args.disable_image_log:
+        return local_temp_filename
+
     html_name = os.path.join(os.path.dirname(local_temp_filename), 'log.html')
 
     css_styles = (
@@ -105,4 +107,4 @@ def log(img, dic):
 
     log_cache[html_name] = middle_part
 
-    return
+    return local_temp_filename
diff --git a/webui.py b/webui.py
index 14ba2a1f..a3663dfa 100644
--- a/webui.py
+++ b/webui.py
@@ -72,6 +72,11 @@ def generate_clicked(task):
                     gr.update(visible=True, value=product)
                 finished = True
 
+                # delete Fooocus temp images, only keep gradio temp images
+                if args_manager.args.disable_image_log:
+                    for filepath in product:
+                        os.remove(filepath)
+
     execution_time = time.perf_counter() - execution_start_time
     print(f'Total time: {execution_time:.2f} seconds')
     return

From ba9eadbcda33839b3f6f12b21ce7b10a4c90a93c Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Mon, 26 Feb 2024 14:27:57 +0100
Subject: [PATCH 062/180] feat: add metadata to images (#1940)

* feat: add metadata logging for images

inspired by https://github.com/MoonRide303/Fooocus-MRE

* feat: add config and checkbox for save_metadata_to_images

* feat: add argument disable_metadata

* feat: add support for A1111 metadata schema

https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/cf2772fab0af5573da775e7437e6acdca424f26e/modules/processing.py#L672

* feat: add model hash support for a1111

* feat: use resolved prompts with included expansion and styles for a1111 metadata

* fix: code cleanup and resolved prompt fixes

* feat: add config metadata_created_by

* fix: use stting isntead of quote wrap for A1111 created_by

* fix: correctlyy hide/show metadata schema on app start

* fix: do not generate hashes when arg --disable-metadata is used

* refactor: rename metadata_schema to metadata_scheme

* fix: use pnginfo "parameters" insteadf of "Comments"

see https://github.com/RupertAvery/DiffusionToolkit/issues/202 and https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/cf2772fab0af5573da775e7437e6acdca424f26e/modules/processing.py#L939

* feat: add resolved prompts to metadata

* fix: use correct default value in metadata check for created_by

* wip: add metadata mapping, reading and writing

applying data after reading currently not functional for A1111

* feat: rename metadata tab and import button label

* feat: map basic information for scheme A1111

* wip: optimize handling for metadata in Gradio calls

* feat: add enums for Performance, Steps and StepsUOV

also move MetadataSchema enum to prevent circular dependency

* fix: correctly map resolution, use empty styles for A1111

* chore: code cleanup

* feat: add A1111 prompt style detection

only detects one style as Fooocus doesn't wrap {prompt} with the whole style, but has a separate prompt string for each style

* wip: add prompt style extraction for A1111 scheme

* feat: sort styles after metadata import

* refactor: use central flag for LoRA count

* refactor: use central flag for ControlNet image count

* fix: use correct LoRA mapping, add fallback for backwards compatibility

* feat: add created_by again

* feat: add prefix "Fooocus" to version

* wip: code cleanup, update todos

* fix: use correct order to read LoRA in meta parser

* wip: code cleanup, update todos

* feat: make sha256 with length 10 default

* feat: add lora handling to A1111 scheme

* feat: override existing LoRA values when importing, would cause images to differ

* fix: correctly extract prompt style when only prompt expansion is selected

* feat: allow model / LoRA loading from subfolders

* feat: code cleanup, do not queue metadata preview on image upload

* refactor: add flag for refiner_swap_method

* feat: add metadata handling for all non-img2img parameters

* refactor: code cleanup

* chore: use str as return type in calculate_sha256

* feat: add hash cache to metadata

* chore: code cleanup

* feat: add method get_scheme to Metadata

* fix: align handling for scheme Fooocus by removing lcm lora from json parsing

* refactor: add step before parsing to set data in parser

- add constructor for MetadataSchema class
- remove showable and copyable from log output
- add functional hash cache (model hashing takes about 5 seconds, only required once per model, using hash lazy loading)

* feat: sort metadata attributes before writing to image

* feat: add translations and hint for image prompt parameters

* chore: check and remove ToDo's

* refactor: merge metadata.py into meta_parser.py

* fix: add missing refiner in A1111 parse_json

* wip: add TODO for ultiline prompt style resolution

* fix: remove sorting for A1111, change performance key position

fixes https://github.com/lllyasviel/Fooocus/pull/1940#issuecomment-1924444633

* fix: add workaround for multiline prompts

* feat: add sampler mapping

* feat: prevent config reset by renaming metadata_scheme to match config options

* chore: remove remaining todos after analysis

refiner is added when set
restoring multiline prompts has been resolved by using separate parameters "raw_prompt" and "raw_negative_prompt"

* chore: specify too broad exception types

* feat: add mapping for _gpu samplers to cpu samplers

gpu samplers are less deterministic than cpu but in general similar, see https://www.reddit.com/r/comfyui/comments/15hayzo/comment/juqcpep/

* feat: add better handling for image import with empty metadata

* fix: parse adaptive_cfg as float instead of string

* chore: loosen strict type for parse_json, fix indent

* chore: make steps enums more strict

* feat: only override steps if metadata value is not in steps enum or in steps enum and performance is not the same

* fix: handle empty strings in metadata

e.g. raw negative prompt when none is set
---
 args_manager.py           |   5 +-
 language/en.json          |   9 +-
 modules/async_worker.py   | 101 ++++----
 modules/config.py         |  22 +-
 modules/flags.py          |  91 ++++++-
 modules/meta_parser.py    | 529 ++++++++++++++++++++++++++++++++------
 modules/private_logger.py |  28 +-
 modules/util.py           | 169 +++++++++++-
 webui.py                  | 102 +++++---
 9 files changed, 871 insertions(+), 185 deletions(-)

diff --git a/args_manager.py b/args_manager.py
index 1675c31d..c7c1b7ab 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -20,7 +20,10 @@ args_parser.parser.add_argument("--disable-image-log", action='store_true',
                                 help="Prevent writing images and logs to hard drive.")
 
 args_parser.parser.add_argument("--disable-analytics", action='store_true',
-                                help="Disables analytics for Gradio", default=False)
+                                help="Disables analytics for Gradio.")
+
+args_parser.parser.add_argument("--disable-metadata", action='store_true',
+                                help="Disables saving metadata to images.")
 
 args_parser.parser.add_argument("--disable-preset-download", action='store_true',
                                 help="Disables downloading models for presets", default=False)
diff --git a/language/en.json b/language/en.json
index a3e47c1a..cb5603f9 100644
--- a/language/en.json
+++ b/language/en.json
@@ -374,5 +374,12 @@
     "* Powered by Fooocus Inpaint Engine (beta)": "* Powered by Fooocus Inpaint Engine (beta)",
     "Fooocus Enhance": "Fooocus Enhance",
     "Fooocus Cinematic": "Fooocus Cinematic",
-    "Fooocus Sharp": "Fooocus Sharp"
+    "Fooocus Sharp": "Fooocus Sharp",
+    "Drag any image generated by Fooocus here": "Drag any image generated by Fooocus here",
+    "Metadata": "Metadata",
+    "Apply Metadata": "Apply Metadata",
+    "Metadata Scheme": "Metadata Scheme",
+    "Image Prompt parameters are not included. Use a1111 for compatibility with Civitai.": "Image Prompt parameters are not included. Use a1111 for compatibility with Civitai.",
+    "fooocus (json)": "fooocus (json)",
+    "a1111 (plain text)": "a1111 (plain text)"
 }
\ No newline at end of file
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 2a31aae1..677cf469 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -19,6 +19,7 @@ async_tasks = []
 def worker():
     global async_tasks
 
+    import os
     import traceback
     import math
     import numpy as np
@@ -39,6 +40,7 @@ def worker():
     import extras.ip_adapter as ip_adapter
     import extras.face_crop
     import fooocus_version
+    import args_manager
 
     from modules.sdxl_styles import apply_style, apply_wildcards, fooocus_expansion, apply_arrays
     from modules.private_logger import log
@@ -46,6 +48,8 @@ def worker():
     from modules.util import remove_empty_str, HWC3, resize_image, \
         get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix
     from modules.upscaler import perform_upscale
+    from modules.flags import Performance
+    from modules.meta_parser import get_metadata_parser, MetadataScheme
 
     pid = os.getpid()
     print(f'Started worker with PID {pid}')
@@ -135,7 +139,7 @@ def worker():
         prompt = args.pop()
         negative_prompt = args.pop()
         style_selections = args.pop()
-        performance_selection = args.pop()
+        performance_selection = Performance(args.pop())
         aspect_ratios_selection = args.pop()
         image_number = args.pop()
         image_seed = args.pop()
@@ -153,6 +157,7 @@ def worker():
         inpaint_input_image = args.pop()
         inpaint_additional_prompt = args.pop()
         inpaint_mask_image_upload = args.pop()
+
         disable_preview = args.pop()
         disable_intermediate_results = args.pop()
         disable_seed_increment = args.pop()
@@ -190,8 +195,11 @@ def worker():
         invert_mask_checkbox = args.pop()
         inpaint_erode_or_dilate = args.pop()
 
+        save_metadata_to_images = args.pop() if not args_manager.args.disable_metadata else False
+        metadata_scheme = MetadataScheme(args.pop()) if not args_manager.args.disable_metadata else MetadataScheme.FOOOCUS
+
         cn_tasks = {x: [] for x in flags.ip_list}
-        for _ in range(4):
+        for _ in range(flags.controlnet_image_count):
             cn_img = args.pop()
             cn_stop = args.pop()
             cn_weight = args.pop()
@@ -216,17 +224,9 @@ def worker():
             print(f'Refiner disabled because base model and refiner are same.')
             refiner_model_name = 'None'
 
-        assert performance_selection in ['Speed', 'Quality', 'Extreme Speed']
+        steps = performance_selection.steps()
 
-        steps = 30
-
-        if performance_selection == 'Speed':
-            steps = 30
-
-        if performance_selection == 'Quality':
-            steps = 60
-
-        if performance_selection == 'Extreme Speed':
+        if performance_selection == Performance.EXTREME_SPEED:
             print('Enter LCM mode.')
             progressbar(async_task, 1, 'Downloading LCM components ...')
             loras += [(modules.config.downloading_sdxl_lcm_lora(), 1.0)]
@@ -244,7 +244,6 @@ def worker():
             adm_scaler_positive = 1.0
             adm_scaler_negative = 1.0
             adm_scaler_end = 0.0
-            steps = 8
 
         print(f'[Parameters] Adaptive CFG = {adaptive_cfg}')
         print(f'[Parameters] Sharpness = {sharpness}')
@@ -305,16 +304,7 @@ def worker():
                     if 'fast' in uov_method:
                         skip_prompt_processing = True
                     else:
-                        steps = 18
-
-                        if performance_selection == 'Speed':
-                            steps = 18
-
-                        if performance_selection == 'Quality':
-                            steps = 36
-
-                        if performance_selection == 'Extreme Speed':
-                            steps = 8
+                        steps = performance_selection.steps_uov()
 
                     progressbar(async_task, 1, 'Downloading upscale models ...')
                     modules.config.downloading_upscale_model()
@@ -830,31 +820,50 @@ def worker():
 
                 img_paths = []
                 for x in imgs:
-                    d = [
-                        ('Prompt', task['log_positive_prompt']),
-                        ('Negative Prompt', task['log_negative_prompt']),
-                        ('Fooocus V2 Expansion', task['expansion']),
-                        ('Styles', str(raw_style_selections)),
-                        ('Performance', performance_selection),
-                        ('Resolution', str((width, height))),
-                        ('Sharpness', sharpness),
-                        ('Guidance Scale', guidance_scale),
-                        ('ADM Guidance', str((
-                            modules.patch.patch_settings[pid].positive_adm_scale,
-                            modules.patch.patch_settings[pid].negative_adm_scale,
-                            modules.patch.patch_settings[pid].adm_scaler_end))),
-                        ('Base Model', base_model_name),
-                        ('Refiner Model', refiner_model_name),
-                        ('Refiner Switch', refiner_switch),
-                        ('Sampler', sampler_name),
-                        ('Scheduler', scheduler_name),
-                        ('Seed', task['task_seed']),
-                    ]
+                    d = [('Prompt', 'prompt', task['log_positive_prompt']),
+                         ('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),
+                         ('Fooocus V2 Expansion', 'prompt_expansion', task['expansion']),
+                         ('Styles', 'styles', str(raw_style_selections)),
+                         ('Performance', 'performance', performance_selection.value),
+                         ('Resolution', 'resolution', str((width, height))),
+                         ('Guidance Scale', 'guidance_scale', guidance_scale),
+                         ('Sharpness', 'sharpness', sharpness),
+                         ('ADM Guidance', 'adm_guidance', str((
+                             modules.patch.patch_settings[pid].positive_adm_scale,
+                             modules.patch.patch_settings[pid].negative_adm_scale,
+                             modules.patch.patch_settings[pid].adm_scaler_end))),
+                         ('Base Model', 'base_model', base_model_name),
+                         ('Refiner Model', 'refiner_model', refiner_model_name),
+                         ('Refiner Switch', 'refiner_switch', refiner_switch)]
+
+                    if refiner_model_name != 'None':
+                        if overwrite_switch > 0:
+                            d.append(('Overwrite Switch', 'overwrite_switch', overwrite_switch))
+                        if refiner_swap_method != flags.refiner_swap_method:
+                            d.append(('Refiner Swap Method', 'refiner_swap_method', refiner_swap_method))
+                    if modules.patch.patch_settings[pid].adaptive_cfg != modules.config.default_cfg_tsnr:
+                        d.append(('CFG Mimicking from TSNR', 'adaptive_cfg', modules.patch.patch_settings[pid].adaptive_cfg))
+
+                    d.append(('Sampler', 'sampler', sampler_name))
+                    d.append(('Scheduler', 'scheduler', scheduler_name))
+                    d.append(('Seed', 'seed', task['task_seed']))
+
+                    if freeu_enabled:
+                        d.append(('FreeU', 'freeu', str((freeu_b1, freeu_b2, freeu_s1, freeu_s2))))
+
+                    metadata_parser = None
+                    if save_metadata_to_images:
+                        metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
+                        metadata_parser.set_data(task['log_positive_prompt'], task['positive'],
+                                                 task['log_negative_prompt'], task['negative'],
+                                                 steps, base_model_name, refiner_model_name, loras)
+
                     for li, (n, w) in enumerate(loras):
                         if n != 'None':
-                            d.append((f'LoRA {li + 1}', f'{n} : {w}'))
-                    d.append(('Version', 'v' + fooocus_version.version))
-                    img_paths.append(log(x, d))
+                            d.append((f'LoRA {li + 1}', f'lora_combined_{li + 1}', f'{n} : {w}'))
+
+                    d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
+                    img_paths.append(log(x, d, metadata_parser))
 
                 yield_result(async_task, img_paths, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
             except ldm_patched.modules.model_management.InterruptProcessingException as e:
diff --git a/modules/config.py b/modules/config.py
index acf19b60..a393e24c 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -8,7 +8,7 @@ import modules.sdxl_styles
 
 from modules.model_loader import load_file_from_url
 from modules.util import get_files_from_folder, makedirs_with_log
-
+from modules.flags import Performance, MetadataScheme
 
 config_path = os.path.abspath("./config.txt")
 config_example_path = os.path.abspath("config_modification_tutorial.txt")
@@ -293,8 +293,8 @@ default_prompt = get_config_item_or_set_default(
 )
 default_performance = get_config_item_or_set_default(
     key='default_performance',
-    default_value='Speed',
-    validator=lambda x: x in modules.flags.performance_selections
+    default_value=Performance.SPEED.value,
+    validator=lambda x: x in Performance.list()
 )
 default_advanced_checkbox = get_config_item_or_set_default(
     key='default_advanced_checkbox',
@@ -369,6 +369,21 @@ example_inpaint_prompts = get_config_item_or_set_default(
     ],
     validator=lambda x: isinstance(x, list) and all(isinstance(v, str) for v in x)
 )
+default_save_metadata_to_images = get_config_item_or_set_default(
+    key='default_save_metadata_to_images',
+    default_value=False,
+    validator=lambda x: isinstance(x, bool)
+)
+default_metadata_scheme = get_config_item_or_set_default(
+    key='default_metadata_scheme',
+    default_value=MetadataScheme.FOOOCUS.value,
+    validator=lambda x: x in [y[1] for y in modules.flags.metadata_scheme if y[1] == x]
+)
+metadata_created_by = get_config_item_or_set_default(
+    key='metadata_created_by',
+    default_value='',
+    validator=lambda x: isinstance(x, str)
+)
 
 example_inpaint_prompts = [[x] for x in example_inpaint_prompts]
 
@@ -391,6 +406,7 @@ possible_preset_keys = [
     "default_prompt_negative",
     "default_styles",
     "default_aspect_ratio",
+    "default_save_metadata_to_images",
     "checkpoint_downloads",
     "embeddings_downloads",
     "lora_downloads",
diff --git a/modules/flags.py b/modules/flags.py
index 27f2d716..206f5121 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -1,3 +1,5 @@
+from enum import IntEnum, Enum
+
 disabled = 'Disabled'
 enabled = 'Enabled'
 subtle_variation = 'Vary (Subtle)'
@@ -10,16 +12,49 @@ uov_list = [
     disabled, subtle_variation, strong_variation, upscale_15, upscale_2, upscale_fast
 ]
 
-KSAMPLER_NAMES = ["euler", "euler_ancestral", "heun", "heunpp2","dpm_2", "dpm_2_ancestral",
-                  "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu",
-                  "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm"]
+CIVITAI_NO_KARRAS = ["euler", "euler_ancestral", "heun", "dpm_fast", "dpm_adaptive", "ddim", "uni_pc"]
+
+# fooocus: a1111 (Civitai)
+KSAMPLER = {
+    "euler": "Euler",
+    "euler_ancestral": "Euler a",
+    "heun": "Heun",
+    "heunpp2": "",
+    "dpm_2": "DPM2",
+    "dpm_2_ancestral": "DPM2 a",
+    "lms": "LMS",
+    "dpm_fast": "DPM fast",
+    "dpm_adaptive": "DPM adaptive",
+    "dpmpp_2s_ancestral": "DPM++ 2S a",
+    "dpmpp_sde": "DPM++ SDE",
+    "dpmpp_sde_gpu": "DPM++ SDE",
+    "dpmpp_2m": "DPM++ 2M",
+    "dpmpp_2m_sde": "DPM++ 2M SDE",
+    "dpmpp_2m_sde_gpu": "DPM++ 2M SDE",
+    "dpmpp_3m_sde": "",
+    "dpmpp_3m_sde_gpu": "",
+    "ddpm": "",
+    "lcm": "LCM"
+}
+
+SAMPLER_EXTRA = {
+    "ddim": "DDIM",
+    "uni_pc": "UniPC",
+    "uni_pc_bh2": ""
+}
+
+SAMPLERS = KSAMPLER | SAMPLER_EXTRA
+
+KSAMPLER_NAMES = list(KSAMPLER.keys())
 
 SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo"]
-SAMPLER_NAMES = KSAMPLER_NAMES + ["ddim", "uni_pc", "uni_pc_bh2"]
+SAMPLER_NAMES = KSAMPLER_NAMES + list(SAMPLER_EXTRA.keys())
 
 sampler_list = SAMPLER_NAMES
 scheduler_list = SCHEDULER_NAMES
 
+refiner_swap_method = 'joint'
+
 cn_ip = "ImagePrompt"
 cn_ip_face = "FaceSwap"
 cn_canny = "PyraCanny"
@@ -33,8 +68,6 @@ default_parameters = {
 }  # stop, weight
 
 inpaint_engine_versions = ['None', 'v1', 'v2.5', 'v2.6']
-performance_selections = ['Speed', 'Quality', 'Extreme Speed']
-
 inpaint_option_default = 'Inpaint or Outpaint (default)'
 inpaint_option_detail = 'Improve Detail (face, hand, eyes, etc.)'
 inpaint_option_modify = 'Modify Content (add objects, change background, etc.)'
@@ -42,3 +75,49 @@ inpaint_options = [inpaint_option_default, inpaint_option_detail, inpaint_option
 
 desc_type_photo = 'Photograph'
 desc_type_anime = 'Art/Anime'
+
+
+class MetadataScheme(Enum):
+    FOOOCUS = 'fooocus'
+    A1111 = 'a1111'
+
+
+metadata_scheme = [
+    (f'{MetadataScheme.FOOOCUS.value} (json)', MetadataScheme.FOOOCUS.value),
+    (f'{MetadataScheme.A1111.value} (plain text)', MetadataScheme.A1111.value),
+]
+
+lora_count = 5
+
+controlnet_image_count = 4
+
+
+class Steps(IntEnum):
+    QUALITY = 60
+    SPEED = 30
+    EXTREME_SPEED = 8
+
+
+class StepsUOV(IntEnum):
+    QUALITY = 36
+    SPEED = 18
+    EXTREME_SPEED = 8
+
+
+class Performance(Enum):
+    QUALITY = 'Quality'
+    SPEED = 'Speed'
+    EXTREME_SPEED = 'Extreme Speed'
+
+    @classmethod
+    def list(cls) -> list:
+        return list(map(lambda c: c.value, cls))
+
+    def steps(self) -> int | None:
+        return Steps[self.name].value if Steps[self.name] else None
+
+    def steps_uov(self) -> int | None:
+        return StepsUOV[self.name].value if Steps[self.name] else None
+
+
+performance_selections = Performance.list()
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 061e1f8a..e9f1d033 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -1,45 +1,113 @@
 import json
+import os
+import re
+from abc import ABC, abstractmethod
+from pathlib import Path
+
 import gradio as gr
+from PIL import Image
+
 import modules.config
+import modules.sdxl_styles
+from modules.flags import MetadataScheme, Performance, Steps
+from modules.flags import SAMPLERS, CIVITAI_NO_KARRAS
+from modules.util import quote, unquote, extract_styles_from_prompt, is_json, get_file_from_folder_list, calculate_sha256
+
+re_param_code = r'\s*(\w[\w \-/]+):\s*("(?:\\.|[^\\"])+"|[^,]*)(?:,|$)'
+re_param = re.compile(re_param_code)
+re_imagesize = re.compile(r"^(\d+)x(\d+)$")
+
+hash_cache = {}
 
 
-def load_parameter_button_click(raw_prompt_txt, is_generating):
-    loaded_parameter_dict = json.loads(raw_prompt_txt)
+def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
+    loaded_parameter_dict = raw_metadata
+    if isinstance(raw_metadata, str):
+        loaded_parameter_dict = json.loads(raw_metadata)
     assert isinstance(loaded_parameter_dict, dict)
 
-    results = [True, 1]
+    results = [len(loaded_parameter_dict) > 0, 1]
 
+    get_str('prompt', 'Prompt', loaded_parameter_dict, results)
+    get_str('negative_prompt', 'Negative Prompt', loaded_parameter_dict, results)
+    get_list('styles', 'Styles', loaded_parameter_dict, results)
+    get_str('performance', 'Performance', loaded_parameter_dict, results)
+    get_steps('steps', 'Steps', loaded_parameter_dict, results)
+    get_float('overwrite_switch', 'Overwrite Switch', loaded_parameter_dict, results)
+    get_resolution('resolution', 'Resolution', loaded_parameter_dict, results)
+    get_float('guidance_scale', 'Guidance Scale', loaded_parameter_dict, results)
+    get_float('sharpness', 'Sharpness', loaded_parameter_dict, results)
+    get_adm_guidance('adm_guidance', 'ADM Guidance', loaded_parameter_dict, results)
+    get_str('refiner_swap_method', 'Refiner Swap Method', loaded_parameter_dict, results)
+    get_float('adaptive_cfg', 'CFG Mimicking from TSNR', loaded_parameter_dict, results)
+    get_str('base_model', 'Base Model', loaded_parameter_dict, results)
+    get_str('refiner_model', 'Refiner Model', loaded_parameter_dict, results)
+    get_float('refiner_switch', 'Refiner Switch', loaded_parameter_dict, results)
+    get_str('sampler', 'Sampler', loaded_parameter_dict, results)
+    get_str('scheduler', 'Scheduler', loaded_parameter_dict, results)
+    get_seed('seed', 'Seed', loaded_parameter_dict, results)
+
+    if is_generating:
+        results.append(gr.update())
+    else:
+        results.append(gr.update(visible=True))
+
+    results.append(gr.update(visible=False))
+
+    get_freeu('freeu', 'FreeU', loaded_parameter_dict, results)
+
+    for i in range(modules.config.default_max_lora_number):
+        get_lora(f'lora_combined_{i + 1}', f'LoRA {i + 1}', loaded_parameter_dict, results)
+
+    return results
+
+
+def get_str(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
-        h = loaded_parameter_dict.get('Prompt', None)
+        h = source_dict.get(key, source_dict.get(fallback, default))
         assert isinstance(h, str)
         results.append(h)
     except:
         results.append(gr.update())
 
-    try:
-        h = loaded_parameter_dict.get('Negative Prompt', None)
-        assert isinstance(h, str)
-        results.append(h)
-    except:
-        results.append(gr.update())
 
+def get_list(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
-        h = loaded_parameter_dict.get('Styles', None)
+        h = source_dict.get(key, source_dict.get(fallback, default))
         h = eval(h)
         assert isinstance(h, list)
         results.append(h)
     except:
         results.append(gr.update())
 
+
+def get_float(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
-        h = loaded_parameter_dict.get('Performance', None)
-        assert isinstance(h, str)
+        h = source_dict.get(key, source_dict.get(fallback, default))
+        assert h is not None
+        h = float(h)
         results.append(h)
     except:
         results.append(gr.update())
 
+
+def get_steps(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
-        h = loaded_parameter_dict.get('Resolution', None)
+        h = source_dict.get(key, source_dict.get(fallback, default))
+        assert h is not None
+        h = int(h)
+        # if not in steps or in steps and performance is not the same
+        if h not in iter(Steps) or Steps(h).name.casefold() != source_dict.get('performance', '').replace(' ', '_').casefold():
+            results.append(h)
+            return
+        results.append(-1)
+    except:
+        results.append(-1)
+
+
+def get_resolution(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
+    try:
+        h = source_dict.get(key, source_dict.get(fallback, default))
         width, height = eval(h)
         formatted = modules.config.add_ratio(f'{width}*{height}')
         if formatted in modules.config.available_aspect_ratios:
@@ -55,24 +123,22 @@ def load_parameter_button_click(raw_prompt_txt, is_generating):
         results.append(gr.update())
         results.append(gr.update())
 
+
+def get_seed(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
-        h = loaded_parameter_dict.get('Sharpness', None)
+        h = source_dict.get(key, source_dict.get(fallback, default))
         assert h is not None
-        h = float(h)
+        h = int(h)
+        results.append(False)
         results.append(h)
     except:
         results.append(gr.update())
-
-    try:
-        h = loaded_parameter_dict.get('Guidance Scale', None)
-        assert h is not None
-        h = float(h)
-        results.append(h)
-    except:
         results.append(gr.update())
 
+
+def get_adm_guidance(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
-        h = loaded_parameter_dict.get('ADM Guidance', None)
+        h = source_dict.get(key, source_dict.get(fallback, default))
         p, n, e = eval(h)
         results.append(float(p))
         results.append(float(n))
@@ -82,69 +148,368 @@ def load_parameter_button_click(raw_prompt_txt, is_generating):
         results.append(gr.update())
         results.append(gr.update())
 
-    try:
-        h = loaded_parameter_dict.get('Base Model', None)
-        assert isinstance(h, str)
-        results.append(h)
-    except:
-        results.append(gr.update())
 
+def get_freeu(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
-        h = loaded_parameter_dict.get('Refiner Model', None)
-        assert isinstance(h, str)
-        results.append(h)
+        h = source_dict.get(key, source_dict.get(fallback, default))
+        b1, b2, s1, s2 = eval(h)
+        results.append(True)
+        results.append(float(b1))
+        results.append(float(b2))
+        results.append(float(s1))
+        results.append(float(s2))
     except:
-        results.append(gr.update())
-
-    try:
-        h = loaded_parameter_dict.get('Refiner Switch', None)
-        assert h is not None
-        h = float(h)
-        results.append(h)
-    except:
-        results.append(gr.update())
-
-    try:
-        h = loaded_parameter_dict.get('Sampler', None)
-        assert isinstance(h, str)
-        results.append(h)
-    except:
-        results.append(gr.update())
-
-    try:
-        h = loaded_parameter_dict.get('Scheduler', None)
-        assert isinstance(h, str)
-        results.append(h)
-    except:
-        results.append(gr.update())
-
-    try:
-        h = loaded_parameter_dict.get('Seed', None)
-        assert h is not None
-        h = int(h)
         results.append(False)
-        results.append(h)
+        results.append(gr.update())
+        results.append(gr.update())
+        results.append(gr.update())
+        results.append(gr.update())
+
+
+def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
+    try:
+        n, w = source_dict.get(key, source_dict.get(fallback)).split(' : ')
+        w = float(w)
+        results.append(True)
+        results.append(n)
+        results.append(w)
     except:
-        results.append(gr.update())
-        results.append(gr.update())
+        results.append(True)
+        results.append('None')
+        results.append(1)
 
-    if is_generating:
-        results.append(gr.update())
-    else:
-        results.append(gr.update(visible=True))
-    
-    results.append(gr.update(visible=False))
 
-    for i in range(1, modules.config.default_max_lora_number + 1):
-        try:
-            n, w = loaded_parameter_dict.get(f'LoRA {i}', ' : ').split(' : ')
-            w = float(w)
-            results.append(True)
-            results.append(n)
-            results.append(w)
-        except:
-            results.append(True)
-            results.append('None')
-            results.append(1.0)
+def get_sha256(filepath):
+    global hash_cache
 
-    return results
+    if filepath not in hash_cache:
+        hash_cache[filepath] = calculate_sha256(filepath)
+
+    return hash_cache[filepath]
+
+
+class MetadataParser(ABC):
+    def __init__(self):
+        self.raw_prompt: str = ''
+        self.full_prompt: str = ''
+        self.raw_negative_prompt: str = ''
+        self.full_negative_prompt: str = ''
+        self.steps: int = 30
+        self.base_model_name: str = ''
+        self.base_model_hash: str = ''
+        self.refiner_model_name: str = ''
+        self.refiner_model_hash: str = ''
+        self.loras: list = []
+
+    @abstractmethod
+    def get_scheme(self) -> MetadataScheme:
+        raise NotImplementedError
+
+    @abstractmethod
+    def parse_json(self, metadata: dict | str) -> dict:
+        raise NotImplementedError
+
+    @abstractmethod
+    def parse_string(self, metadata: dict) -> str:
+        raise NotImplementedError
+
+    def set_data(self, raw_prompt, full_prompt, raw_negative_prompt, full_negative_prompt, steps, base_model_name, refiner_model_name, loras):
+        self.raw_prompt = raw_prompt
+        self.full_prompt = full_prompt
+        self.raw_negative_prompt = raw_negative_prompt
+        self.full_negative_prompt = full_negative_prompt
+        self.steps = steps
+        self.base_model_name = Path(base_model_name).stem
+
+        base_model_path = get_file_from_folder_list(base_model_name, modules.config.paths_checkpoints)
+        self.base_model_hash = get_sha256(base_model_path)
+
+        if refiner_model_name not in ['', 'None']:
+            self.refiner_model_name = Path(refiner_model_name).stem
+            refiner_model_path = get_file_from_folder_list(refiner_model_name, modules.config.paths_checkpoints)
+            self.refiner_model_hash = get_sha256(refiner_model_path)
+
+        self.loras = []
+        for (lora_name, lora_weight) in loras:
+            if lora_name != 'None':
+                lora_path = get_file_from_folder_list(lora_name, modules.config.paths_loras)
+                lora_hash = get_sha256(lora_path)
+                self.loras.append((Path(lora_name).stem, lora_weight, lora_hash))
+
+
+class A1111MetadataParser(MetadataParser):
+    def get_scheme(self) -> MetadataScheme:
+        return MetadataScheme.A1111
+
+    fooocus_to_a1111 = {
+        'raw_prompt': 'Raw prompt',
+        'raw_negative_prompt': 'Raw negative prompt',
+        'negative_prompt': 'Negative prompt',
+        'styles': 'Styles',
+        'performance': 'Performance',
+        'steps': 'Steps',
+        'sampler': 'Sampler',
+        'scheduler': 'Scheduler',
+        'guidance_scale': 'CFG scale',
+        'seed': 'Seed',
+        'resolution': 'Size',
+        'sharpness': 'Sharpness',
+        'adm_guidance': 'ADM Guidance',
+        'refiner_swap_method': 'Refiner Swap Method',
+        'adaptive_cfg': 'Adaptive CFG',
+        'overwrite_switch': 'Overwrite Switch',
+        'freeu': 'FreeU',
+        'base_model': 'Model',
+        'base_model_hash': 'Model hash',
+        'refiner_model': 'Refiner',
+        'refiner_model_hash': 'Refiner hash',
+        'lora_hashes': 'Lora hashes',
+        'lora_weights': 'Lora weights',
+        'created_by': 'User',
+        'version': 'Version'
+    }
+
+    def parse_json(self, metadata: str) -> dict:
+        metadata_prompt = ''
+        metadata_negative_prompt = ''
+
+        done_with_prompt = False
+
+        *lines, lastline = metadata.strip().split("\n")
+        if len(re_param.findall(lastline)) < 3:
+            lines.append(lastline)
+            lastline = ''
+
+        for line in lines:
+            line = line.strip()
+            if line.startswith(f"{self.fooocus_to_a1111['negative_prompt']}:"):
+                done_with_prompt = True
+                line = line[len(f"{self.fooocus_to_a1111['negative_prompt']}:"):].strip()
+            if done_with_prompt:
+                metadata_negative_prompt += ('' if metadata_negative_prompt == '' else "\n") + line
+            else:
+                metadata_prompt += ('' if metadata_prompt == '' else "\n") + line
+
+        found_styles, prompt, negative_prompt = extract_styles_from_prompt(metadata_prompt, metadata_negative_prompt)
+
+        data = {
+            'prompt': prompt,
+            'negative_prompt': negative_prompt
+        }
+
+        for k, v in re_param.findall(lastline):
+            try:
+                if v != '' and v[0] == '"' and v[-1] == '"':
+                    v = unquote(v)
+
+                m = re_imagesize.match(v)
+                if m is not None:
+                    data['resolution'] = str((m.group(1), m.group(2)))
+                else:
+                    data[list(self.fooocus_to_a1111.keys())[list(self.fooocus_to_a1111.values()).index(k)]] = v
+            except Exception:
+                print(f"Error parsing \"{k}: {v}\"")
+
+        # workaround for multiline prompts
+        if 'raw_prompt' in data:
+            data['prompt'] = data['raw_prompt']
+            raw_prompt = data['raw_prompt'].replace("\n", ', ')
+            if metadata_prompt != raw_prompt and modules.sdxl_styles.fooocus_expansion not in found_styles:
+                found_styles.append(modules.sdxl_styles.fooocus_expansion)
+
+        if 'raw_negative_prompt' in data:
+            data['negative_prompt'] = data['raw_negative_prompt']
+
+        data['styles'] = str(found_styles)
+
+        # try to load performance based on steps, fallback for direct A1111 imports
+        if 'steps' in data and 'performance' not in data:
+            try:
+                data['performance'] = Performance[Steps(int(data['steps'])).name].value
+            except ValueError | KeyError:
+                pass
+
+        if 'sampler' in data:
+            data['sampler'] = data['sampler'].replace(' Karras', '')
+            # get key
+            for k, v in SAMPLERS.items():
+                if v == data['sampler']:
+                    data['sampler'] = k
+                    break
+
+        for key in ['base_model', 'refiner_model']:
+            if key in data:
+                for filename in modules.config.model_filenames:
+                    path = Path(filename)
+                    if data[key] == path.stem:
+                        data[key] = filename
+                        break
+
+        if 'lora_hashes' in data:
+            lora_filenames = modules.config.lora_filenames.copy()
+            lora_filenames.remove(modules.config.downloading_sdxl_lcm_lora())
+            for li, lora in enumerate(data['lora_hashes'].split(', ')):
+                lora_name, lora_hash, lora_weight = lora.split(': ')
+                for filename in lora_filenames:
+                    path = Path(filename)
+                    if lora_name == path.stem:
+                        data[f'lora_combined_{li + 1}'] = f'{filename} : {lora_weight}'
+                        break
+
+        return data
+
+    def parse_string(self, metadata: dict) -> str:
+        data = {k: v for _, k, v in metadata}
+
+        width, height = eval(data['resolution'])
+
+        sampler = data['sampler']
+        scheduler = data['scheduler']
+        if sampler in SAMPLERS and SAMPLERS[sampler] != '':
+            sampler = SAMPLERS[sampler]
+            if sampler not in CIVITAI_NO_KARRAS and scheduler == 'karras':
+                sampler += f' Karras'
+
+        generation_params = {
+            self.fooocus_to_a1111['steps']: self.steps,
+            self.fooocus_to_a1111['sampler']: sampler,
+            self.fooocus_to_a1111['seed']: data['seed'],
+            self.fooocus_to_a1111['resolution']: f'{width}x{height}',
+            self.fooocus_to_a1111['guidance_scale']: data['guidance_scale'],
+            self.fooocus_to_a1111['sharpness']: data['sharpness'],
+            self.fooocus_to_a1111['adm_guidance']: data['adm_guidance'],
+            self.fooocus_to_a1111['base_model']: Path(data['base_model']).stem,
+            self.fooocus_to_a1111['base_model_hash']: self.base_model_hash,
+
+            self.fooocus_to_a1111['performance']: data['performance'],
+            self.fooocus_to_a1111['scheduler']: scheduler,
+            # workaround for multiline prompts
+            self.fooocus_to_a1111['raw_prompt']: self.raw_prompt,
+            self.fooocus_to_a1111['raw_negative_prompt']: self.raw_negative_prompt,
+        }
+
+        if self.refiner_model_name not in ['', 'None']:
+            generation_params |= {
+                self.fooocus_to_a1111['refiner_model']: self.refiner_model_name,
+                self.fooocus_to_a1111['refiner_model_hash']: self.refiner_model_hash
+            }
+
+        for key in ['adaptive_cfg', 'overwrite_switch', 'refiner_swap_method', 'freeu']:
+            if key in data:
+                generation_params[self.fooocus_to_a1111[key]] = data[key]
+
+        lora_hashes = []
+        for index, (lora_name, lora_weight, lora_hash) in enumerate(self.loras):
+            # workaround for Fooocus not knowing LoRA name in LoRA metadata
+            lora_hashes.append(f'{lora_name}: {lora_hash}: {lora_weight}')
+        lora_hashes_string = ', '.join(lora_hashes)
+
+        generation_params |= {
+            self.fooocus_to_a1111['lora_hashes']: lora_hashes_string,
+            self.fooocus_to_a1111['version']: data['version']
+        }
+
+        if modules.config.metadata_created_by != '':
+            generation_params[self.fooocus_to_a1111['created_by']] = modules.config.metadata_created_by
+
+        generation_params_text = ", ".join(
+            [k if k == v else f'{k}: {quote(v)}' for k, v in generation_params.items() if
+             v is not None])
+        positive_prompt_resolved = ', '.join(self.full_prompt)
+        negative_prompt_resolved = ', '.join(self.full_negative_prompt)
+        negative_prompt_text = f"\nNegative prompt: {negative_prompt_resolved}" if negative_prompt_resolved else ""
+        return f"{positive_prompt_resolved}{negative_prompt_text}\n{generation_params_text}".strip()
+
+
+class FooocusMetadataParser(MetadataParser):
+    def get_scheme(self) -> MetadataScheme:
+        return MetadataScheme.FOOOCUS
+
+    def parse_json(self, metadata: dict) -> dict:
+        model_filenames = modules.config.model_filenames.copy()
+        lora_filenames = modules.config.lora_filenames.copy()
+        lora_filenames.remove(modules.config.downloading_sdxl_lcm_lora())
+
+        for key, value in metadata.items():
+            if value in ['', 'None']:
+                continue
+            if key in ['base_model', 'refiner_model']:
+                metadata[key] = self.replace_value_with_filename(key, value, model_filenames)
+            elif key.startswith('lora_combined_'):
+                metadata[key] = self.replace_value_with_filename(key, value, lora_filenames)
+            else:
+                continue
+
+        return metadata
+
+    def parse_string(self, metadata: list) -> str:
+        for li, (label, key, value) in enumerate(metadata):
+            # remove model folder paths from metadata
+            if key.startswith('lora_combined_'):
+                name, weight = value.split(' : ')
+                name = Path(name).stem
+                value = f'{name} : {weight}'
+                metadata[li] = (label, key, value)
+
+        res = {k: v for _, k, v in metadata}
+
+        res['full_prompt'] = self.full_prompt
+        res['full_negative_prompt'] = self.full_negative_prompt
+        res['steps'] = self.steps
+        res['base_model'] = self.base_model_name
+        res['base_model_hash'] = self.base_model_hash
+
+        if self.refiner_model_name not in ['', 'None']:
+            res['refiner_model'] = self.refiner_model_name
+            res['refiner_model_hash'] = self.refiner_model_hash
+
+        res['loras'] = self.loras
+
+        if modules.config.metadata_created_by != '':
+            res['created_by'] = modules.config.metadata_created_by
+
+        return json.dumps(dict(sorted(res.items())))
+
+    @staticmethod
+    def replace_value_with_filename(key, value, filenames):
+        for filename in filenames:
+            path = Path(filename)
+            if key.startswith('lora_combined_'):
+                name, weight = value.split(' : ')
+                if name == path.stem:
+                    return f'{filename} : {weight}'
+            elif value == path.stem:
+                return filename
+
+
+def get_metadata_parser(metadata_scheme: MetadataScheme) -> MetadataParser:
+    match metadata_scheme:
+        case MetadataScheme.FOOOCUS:
+            return FooocusMetadataParser()
+        case MetadataScheme.A1111:
+            return A1111MetadataParser()
+        case _:
+            raise NotImplementedError
+
+
+def read_info_from_image(filepath) -> tuple[str | None, dict, MetadataScheme | None]:
+    with Image.open(filepath) as image:
+        items = (image.info or {}).copy()
+
+    parameters = items.pop('parameters', None)
+    if parameters is not None and is_json(parameters):
+        parameters = json.loads(parameters)
+
+    try:
+        metadata_scheme = MetadataScheme(items.pop('fooocus_scheme', None))
+    except ValueError:
+        metadata_scheme = None
+
+        # broad fallback
+        if isinstance(parameters, dict):
+            metadata_scheme = MetadataScheme.FOOOCUS
+
+        if isinstance(parameters, str):
+            metadata_scheme = MetadataScheme.A1111
+
+    return parameters, items, metadata_scheme
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 506b1055..2213cbba 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -5,7 +5,9 @@ import json
 import urllib.parse
 
 from PIL import Image
+from PIL.PngImagePlugin import PngInfo
 from modules.util import generate_temp_filename
+from modules.meta_parser import MetadataParser
 from tempfile import gettempdir
 
 log_cache = {}
@@ -18,11 +20,21 @@ def get_current_html_path():
     return html_name
 
 
-def log(img, dic) -> str:
+def log(img, metadata, metadata_parser: MetadataParser | None = None) -> str:
     path_outputs = args_manager.args.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
     date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension='png')
     os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True)
-    Image.fromarray(img).save(local_temp_filename)
+
+    parsed_parameters = metadata_parser.parse_string(metadata) if metadata_parser is not None else ''
+    image = Image.fromarray(img)
+
+    if parsed_parameters != '':
+        pnginfo = PngInfo()
+        pnginfo.add_text('parameters', parsed_parameters)
+        pnginfo.add_text('fooocus_scheme', metadata_parser.get_scheme().value)
+    else:
+        pnginfo = None
+    image.save(local_temp_filename, pnginfo=pnginfo)
 
     if args_manager.args.disable_image_log:
         return local_temp_filename
@@ -34,7 +46,7 @@ def log(img, dic) -> str:
         "body { background-color: #121212; color: #E0E0E0; } "
         "a { color: #BB86FC; } "
         ".metadata { border-collapse: collapse; width: 100%; } "
-        ".metadata .key { width: 15%; } "
+        ".metadata .label { width: 15%; } "
         ".metadata .value { width: 85%; font-weight: bold; } "
         ".metadata th, .metadata td { border: 1px solid #4d4d4d; padding: 4px; } "
         ".image-container img { height: auto; max-width: 512px; display: block; padding-right:10px; } "
@@ -87,13 +99,13 @@ def log(img, dic) -> str:
     item = f"<div id=\"{div_name}\" class=\"image-container\"><hr><table><tr>\n"
     item += f"<td><a href=\"{only_name}\" target=\"_blank\"><img src='{only_name}' onerror=\"this.closest('.image-container').style.display='none';\" loading='lazy'/></a><div>{only_name}</div></td>"
     item += "<td><table class='metadata'>"
-    for key, value in dic:
-        value_txt = str(value).replace('\n', ' <br/> ')
-        item += f"<tr><td class='key'>{key}</td><td class='value'>{value_txt}</td></tr>\n"
+    for label, key, value in metadata:
+        value_txt = str(value).replace('\n', ' </br> ')
+        item += f"<tr><td class='label'>{label}</td><td class='value'>{value_txt}</td></tr>\n"
     item += "</table>"
 
-    js_txt = urllib.parse.quote(json.dumps({k: v for k, v in dic}, indent=0), safe='')
-    item += f"<br/><button onclick=\"to_clipboard('{js_txt}')\">Copy to Clipboard</button>"
+    js_txt = urllib.parse.quote(json.dumps({k: v for _, k, v in metadata}, indent=0), safe='')
+    item += f"</br><button onclick=\"to_clipboard('{js_txt}')\">Copy to Clipboard</button>"
 
     item += "</td>"
     item += "</tr></table></div>\n\n"
diff --git a/modules/util.py b/modules/util.py
index 1b165115..29d48696 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -1,15 +1,20 @@
+import typing
+
 import numpy as np
 import datetime
 import random
 import math
 import os
 import cv2
+import json
 
 from PIL import Image
+from hashlib import sha256
 
+import modules.sdxl_styles
 
 LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
-
+HASH_SHA256_LENGTH = 10
 
 def erode_or_dilate(x, k):
     k = int(k)
@@ -170,13 +175,173 @@ def get_files_from_folder(folder_path, exensions=None, name_filter=None):
             relative_path = ""
         for filename in sorted(files, key=lambda s: s.casefold()):
             _, file_extension = os.path.splitext(filename)
-            if (exensions == None or file_extension.lower() in exensions) and (name_filter == None or name_filter in _):
+            if (exensions is None or file_extension.lower() in exensions) and (name_filter is None or name_filter in _):
                 path = os.path.join(relative_path, filename)
                 filenames.append(path)
 
     return filenames
 
 
+def calculate_sha256(filename, length=HASH_SHA256_LENGTH) -> str:
+    hash_sha256 = sha256()
+    blksize = 1024 * 1024
+
+    with open(filename, "rb") as f:
+        for chunk in iter(lambda: f.read(blksize), b""):
+            hash_sha256.update(chunk)
+
+    res = hash_sha256.hexdigest()
+    return res[:length] if length else res
+
+
+def quote(text):
+    if ',' not in str(text) and '\n' not in str(text) and ':' not in str(text):
+        return text
+
+    return json.dumps(text, ensure_ascii=False)
+
+
+def unquote(text):
+    if len(text) == 0 or text[0] != '"' or text[-1] != '"':
+        return text
+
+    try:
+        return json.loads(text)
+    except Exception:
+        return text
+
+
+def unwrap_style_text_from_prompt(style_text, prompt):
+    """
+    Checks the prompt to see if the style text is wrapped around it. If so,
+    returns True plus the prompt text without the style text. Otherwise, returns
+    False with the original prompt.
+
+    Note that the "cleaned" version of the style text is only used for matching
+    purposes here. It isn't returned; the original style text is not modified.
+    """
+    stripped_prompt = prompt
+    stripped_style_text = style_text
+    if "{prompt}" in stripped_style_text:
+        # Work out whether the prompt is wrapped in the style text. If so, we
+        # return True and the "inner" prompt text that isn't part of the style.
+        try:
+            left, right = stripped_style_text.split("{prompt}", 2)
+        except ValueError as e:
+            # If the style text has multple "{prompt}"s, we can't split it into
+            # two parts. This is an error, but we can't do anything about it.
+            print(f"Unable to compare style text to prompt:\n{style_text}")
+            print(f"Error: {e}")
+            return False, prompt, ''
+
+        left_pos = stripped_prompt.find(left)
+        right_pos = stripped_prompt.find(right)
+        if 0 <= left_pos < right_pos:
+            real_prompt = stripped_prompt[left_pos + len(left):right_pos]
+            prompt = stripped_prompt.replace(left + real_prompt + right, '', 1)
+            if prompt.startswith(", "):
+                prompt = prompt[2:]
+            if prompt.endswith(", "):
+                prompt = prompt[:-2]
+            return True, prompt, real_prompt
+    else:
+        # Work out whether the given prompt starts with the style text. If so, we
+        # return True and the prompt text up to where the style text starts.
+        if stripped_prompt.endswith(stripped_style_text):
+            prompt = stripped_prompt[: len(stripped_prompt) - len(stripped_style_text)]
+            if prompt.endswith(", "):
+                prompt = prompt[:-2]
+            return True, prompt, prompt
+
+    return False, prompt, ''
+
+
+def extract_original_prompts(style, prompt, negative_prompt):
+    """
+    Takes a style and compares it to the prompt and negative prompt. If the style
+    matches, returns True plus the prompt and negative prompt with the style text
+    removed. Otherwise, returns False with the original prompt and negative prompt.
+    """
+    if not style.prompt and not style.negative_prompt:
+        return False, prompt, negative_prompt
+
+    match_positive, extracted_positive, real_prompt = unwrap_style_text_from_prompt(
+        style.prompt, prompt
+    )
+    if not match_positive:
+        return False, prompt, negative_prompt, ''
+
+    match_negative, extracted_negative, _ = unwrap_style_text_from_prompt(
+        style.negative_prompt, negative_prompt
+    )
+    if not match_negative:
+        return False, prompt, negative_prompt, ''
+
+    return True, extracted_positive, extracted_negative, real_prompt
+
+
+def extract_styles_from_prompt(prompt, negative_prompt):
+    extracted = []
+    applicable_styles = []
+
+    for style_name, (style_prompt, style_negative_prompt) in modules.sdxl_styles.styles.items():
+        applicable_styles.append(PromptStyle(name=style_name, prompt=style_prompt, negative_prompt=style_negative_prompt))
+
+    real_prompt = ''
+
+    while True:
+        found_style = None
+
+        for style in applicable_styles:
+            is_match, new_prompt, new_neg_prompt, new_real_prompt = extract_original_prompts(
+                style, prompt, negative_prompt
+            )
+            if is_match:
+                found_style = style
+                prompt = new_prompt
+                negative_prompt = new_neg_prompt
+                if real_prompt == '' and new_real_prompt != '' and new_real_prompt != prompt:
+                    real_prompt = new_real_prompt
+                break
+
+        if not found_style:
+            break
+
+        applicable_styles.remove(found_style)
+        extracted.append(found_style.name)
+
+    # add prompt expansion if not all styles could be resolved
+    if prompt != '':
+        if real_prompt != '':
+            extracted.append(modules.sdxl_styles.fooocus_expansion)
+        else:
+            # find real_prompt when only prompt expansion is selected
+            first_word = prompt.split(', ')[0]
+            first_word_positions = [i for i in range(len(prompt)) if prompt.startswith(first_word, i)]
+            if len(first_word_positions) > 1:
+                real_prompt = prompt[:first_word_positions[-1]]
+                extracted.append(modules.sdxl_styles.fooocus_expansion)
+                if real_prompt.endswith(', '):
+                    real_prompt = real_prompt[:-2]
+
+    return list(reversed(extracted)), real_prompt, negative_prompt
+
+
+class PromptStyle(typing.NamedTuple):
+    name: str
+    prompt: str
+    negative_prompt: str
+
+
+def is_json(data: str) -> bool:
+    try:
+        loaded_json = json.loads(data)
+        assert isinstance(loaded_json, dict)
+    except (ValueError, AssertionError):
+        return False
+    return True
+
+
 def get_file_from_folder_list(name, folders):
     for folder in folders:
         filename = os.path.abspath(os.path.realpath(os.path.join(folder, name)))
diff --git a/webui.py b/webui.py
index a3663dfa..7020438e 100644
--- a/webui.py
+++ b/webui.py
@@ -20,6 +20,7 @@ from modules.sdxl_styles import legal_style_names
 from modules.private_logger import get_current_html_path
 from modules.ui_gradio_extensions import reload_javascript
 from modules.auth import auth_enabled, check_auth
+from modules.util import is_json
 
 def get_task(*args):
     args = list(args)
@@ -158,7 +159,7 @@ with shared.gradio_root:
                             ip_weights = []
                             ip_ctrls = []
                             ip_ad_cols = []
-                            for _ in range(4):
+                            for _ in range(flags.controlnet_image_count):
                                 with gr.Column():
                                     ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300)
                                     ip_images.append(ip_image)
@@ -216,6 +217,30 @@ with shared.gradio_root:
                                     value=flags.desc_type_photo)
                                 desc_btn = gr.Button(value='Describe this Image into Prompt')
                                 gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/1363" target="_blank">\U0001F4D4 Document</a>')
+                    with gr.TabItem(label='Metadata') as load_tab:
+                        with gr.Column():
+                            metadata_input_image = grh.Image(label='Drag any image generated by Fooocus here', source='upload', type='filepath')
+                            metadata_json = gr.JSON(label='Metadata')
+                            metadata_import_button = gr.Button(value='Apply Metadata')
+
+                        def trigger_metadata_preview(filepath):
+                            parameters, items, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
+
+                            results = {}
+                            if parameters is not None:
+                                results['parameters'] = parameters
+
+                            if items:
+                                results['items'] = items
+
+                            if isinstance(metadata_scheme, flags.MetadataScheme):
+                                results['metadata_scheme'] = metadata_scheme.value
+
+                            return results
+
+                        metadata_input_image.upload(trigger_metadata_preview, inputs=metadata_input_image,
+                                                    outputs=metadata_json, queue=False, show_progress=True)
+
             switch_js = "(x) => {if(x){viewer_to_bottom(100);viewer_to_bottom(500);}else{viewer_to_top();} return x;}"
             down_js = "() => {viewer_to_bottom();}"
 
@@ -359,7 +384,7 @@ with shared.gradio_root:
                                                    step=0.001, value=0.3,
                                                    info='When to end the guidance from positive/negative ADM. ')
 
-                        refiner_swap_method = gr.Dropdown(label='Refiner swap method', value='joint',
+                        refiner_swap_method = gr.Dropdown(label='Refiner swap method', value=flags.refiner_swap_method,
                                                           choices=['joint', 'separate', 'vae'])
 
                         adaptive_cfg = gr.Slider(label='CFG Mimicking from TSNR', minimum=1.0, maximum=30.0, step=0.01,
@@ -407,6 +432,16 @@ with shared.gradio_root:
                                                              info='Disable automatic seed increment when image number is > 1.',
                                                              value=False)
 
+                        if not args_manager.args.disable_metadata:
+                            save_metadata_to_images = gr.Checkbox(label='Save Metadata to Images', value=modules.config.default_save_metadata_to_images,
+                                                                  info='Adds parameters to generated images allowing manual regeneration.')
+                            metadata_scheme = gr.Radio(label='Metadata Scheme', choices=flags.metadata_scheme, value=modules.config.default_metadata_scheme,
+                                                       info='Image Prompt parameters are not included. Use a1111 for compatibility with Civitai.',
+                                                       visible=modules.config.default_save_metadata_to_images)
+
+                            save_metadata_to_images.change(lambda x: gr.update(visible=x), inputs=[save_metadata_to_images], outputs=[metadata_scheme], 
+                                                           queue=False, show_progress=False)
+
                     with gr.Tab(label='Control'):
                         debugging_cn_preprocessor = gr.Checkbox(label='Debug Preprocessors', value=False,
                                                                 info='See the results from preprocessors.')
@@ -484,7 +519,6 @@ with shared.gradio_root:
                     results += [gr.update(choices=['None'] + modules.config.model_filenames)]
                     for i in range(modules.config.default_max_lora_number):
                         results += [gr.update(interactive=True), gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
-                    return results
 
                 model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,
                                     queue=False, show_progress=False)
@@ -555,20 +589,18 @@ with shared.gradio_root:
         ctrls += [refiner_swap_method, controlnet_softness]
         ctrls += freeu_ctrls
         ctrls += inpaint_ctrls
+
+        if not args_manager.args.disable_metadata:
+            ctrls += [save_metadata_to_images, metadata_scheme]
+
         ctrls += ip_ctrls
 
         state_is_generating = gr.State(False)
 
         def parse_meta(raw_prompt_txt, is_generating):
             loaded_json = None
-            try:
-                if '{' in raw_prompt_txt:
-                    if '}' in raw_prompt_txt:
-                        if ':' in raw_prompt_txt:
-                            loaded_json = json.loads(raw_prompt_txt)
-                            assert isinstance(loaded_json, dict)
-            except:
-                loaded_json = None
+            if is_json(raw_prompt_txt):
+                loaded_json = json.loads(raw_prompt_txt)
 
             if loaded_json is None:
                 if is_generating:
@@ -580,31 +612,29 @@ with shared.gradio_root:
 
         prompt.input(parse_meta, inputs=[prompt, state_is_generating], outputs=[prompt, generate_button, load_parameter_button], queue=False, show_progress=False)
 
-        load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=[
-            advanced_checkbox,
-            image_number,
-            prompt,
-            negative_prompt,
-            style_selections,
-            performance_selection,
-            aspect_ratios_selection,
-            overwrite_width,
-            overwrite_height,
-            sharpness,
-            guidance_scale,
-            adm_scaler_positive,
-            adm_scaler_negative,
-            adm_scaler_end,
-            base_model,
-            refiner_model,
-            refiner_switch,
-            sampler_name,
-            scheduler_name,
-            seed_random,
-            image_seed,
-            generate_button,
-            load_parameter_button
-        ] + lora_ctrls, queue=False, show_progress=False)
+        load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
+                             performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
+                             overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
+                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
+                             refiner_model, refiner_switch, sampler_name, scheduler_name, seed_random, image_seed,
+                             generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
+
+        load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=False)
+
+        def trigger_metadata_import(filepath, state_is_generating):
+            parameters, items, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
+            if parameters is None:
+                print('Could not find metadata in the image!')
+                parsed_parameters = {}
+            else:
+                metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
+                parsed_parameters = metadata_parser.parse_json(parameters)
+
+            return modules.meta_parser.load_parameter_button_click(parsed_parameters, state_is_generating)
+
+
+        metadata_import_button.click(trigger_metadata_import, inputs=[metadata_input_image, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
+            .then(style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False)
 
         generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), [], True),
                               outputs=[stop_button, skip_button, generate_button, gallery, state_is_generating]) \

From b6d23670d87277f4ae237c499237d4eb3b9d9903 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 26 Feb 2024 15:31:32 +0100
Subject: [PATCH 063/180] feat: add jpg and webp support, add exif data
 handling for metadata (#1863)

* feature: added flag, config and ui update for image extension change #1789

* moved function to config module

* moved image extension to webui via async worker. Passing as parameter to log and get_current_html_path functions per feedback

* check flag before displaying image extension radio button

* disabled if image log flag is passed in

* fix: add missing image_extension parameter to log call

* refactor: change label

* feat: add webp to image_extensions

supported image extemsions: see https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html

* feat: use consistent file name in gradio

returns and uses filepaths instead of numpy image by saving to temp dir
uses double the temp dir file storage on disk as it saves to temp dir and gradio temp dir when displaying the image, but reuses logged output image

* feat: delete temp images after yielding to gradio

* feat: use args temp path if given

* chore: code cleanup, remove redundant if statement

* feat: always show image_extension element

this is now possible due to image extension support in gradio via https://github.com/lllyasviel/Fooocus/pull/1932

* refactor: rename image_extension to image_file_extension

* feat: use optimized jpg parameters when saving the image

quality=95
optimize=True
progressive=True

* refactor: rename image_file_extension to output_format

* feat: add exif handling

* refactor: code cleanup, remove items from metadata output

---------

Co-authored-by: Manuel Schmid <dev@mash1t.de>
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
Co-authored by: eddyizm <wtfisup@hotmail.com>
---
 modules/async_worker.py   |  7 +++--
 modules/config.py         |  5 +++
 modules/flags.py          |  2 ++
 modules/meta_parser.py    | 66 ++++++++++++++++++++++++++++++++++++---
 modules/private_logger.py | 32 ++++++++++++-------
 webui.py                  | 20 +++++++-----
 6 files changed, 104 insertions(+), 28 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 677cf469..2c029cfb 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -1,5 +1,4 @@
 import threading
-import os
 from modules.patch import PatchSettings, patch_settings, patch_all
 
 patch_all()
@@ -142,6 +141,7 @@ def worker():
         performance_selection = Performance(args.pop())
         aspect_ratios_selection = args.pop()
         image_number = args.pop()
+        output_format = args.pop()
         image_seed = args.pop()
         sharpness = args.pop()
         guidance_scale = args.pop()
@@ -414,6 +414,7 @@ def worker():
 
             progressbar(async_task, 3, 'Processing prompts ...')
             tasks = []
+            
             for i in range(image_number):
                 if disable_seed_increment:
                     task_seed = seed
@@ -553,7 +554,7 @@ def worker():
 
             if direct_return:
                 d = [('Upscale (Fast)', '2x')]
-                uov_input_image_path = log(uov_input_image, d)
+                uov_input_image_path = log(uov_input_image, d, output_format)
                 yield_result(async_task, uov_input_image_path, do_not_show_finished_images=True)
                 return
 
@@ -863,7 +864,7 @@ def worker():
                             d.append((f'LoRA {li + 1}', f'lora_combined_{li + 1}', f'{n} : {w}'))
 
                     d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
-                    img_paths.append(log(x, d, metadata_parser))
+                    img_paths.append(log(x, d, metadata_parser, output_format))
 
                 yield_result(async_task, img_paths, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
             except ldm_patched.modules.model_management.InterruptProcessingException as e:
diff --git a/modules/config.py b/modules/config.py
index a393e24c..6800c004 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -306,6 +306,11 @@ default_max_image_number = get_config_item_or_set_default(
     default_value=32,
     validator=lambda x: isinstance(x, int) and x >= 1
 )
+default_output_format = get_config_item_or_set_default(
+    key='default_output_format',
+    default_value='png',
+    validator=lambda x: x in modules.flags.output_formats
+)
 default_image_number = get_config_item_or_set_default(
     key='default_image_number',
     default_value=2,
diff --git a/modules/flags.py b/modules/flags.py
index 206f5121..6f12bc8f 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -67,6 +67,8 @@ default_parameters = {
     cn_ip: (0.5, 0.6), cn_ip_face: (0.9, 0.75), cn_canny: (0.5, 1.0), cn_cpds: (0.5, 1.0)
 }  # stop, weight
 
+output_formats = ['png', 'jpg', 'webp']
+
 inpaint_engine_versions = ['None', 'v1', 'v2.5', 'v2.6']
 inpaint_option_default = 'Inpaint or Outpaint (default)'
 inpaint_option_detail = 'Improve Detail (face, hand, eyes, etc.)'
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index e9f1d033..9b2dadb3 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -7,6 +7,7 @@ from pathlib import Path
 import gradio as gr
 from PIL import Image
 
+import fooocus_version
 import modules.config
 import modules.sdxl_styles
 from modules.flags import MetadataScheme, Performance, Steps
@@ -181,13 +182,43 @@ def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
 
 def get_sha256(filepath):
     global hash_cache
-
     if filepath not in hash_cache:
         hash_cache[filepath] = calculate_sha256(filepath)
 
     return hash_cache[filepath]
 
 
+def parse_meta_from_preset(preset_content):
+    assert isinstance(preset_content, dict)
+    preset_prepared = {}
+    items = preset_content
+
+    for settings_key, meta_key in modules.config.possible_preset_keys.items():
+        if settings_key == "default_loras":
+            loras = getattr(modules.config, settings_key)
+            if settings_key in items:
+                loras = items[settings_key]
+            for index, lora in enumerate(loras[:5]):
+                preset_prepared[f'lora_combined_{index + 1}'] = ' : '.join(map(str, lora))
+        elif settings_key == "default_aspect_ratio":
+            if settings_key in items and items[settings_key] is not None:
+                default_aspect_ratio = items[settings_key]
+                width, height = default_aspect_ratio.split('*')
+            else:
+                default_aspect_ratio = getattr(modules.config, settings_key)
+                width, height = default_aspect_ratio.split('×')
+                height = height[:height.index(" ")]
+            preset_prepared[meta_key] = (width, height)
+        else:
+            preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[
+                settings_key] is not None else getattr(modules.config, settings_key)
+
+        if settings_key == "default_styles" or settings_key == "default_aspect_ratio":
+            preset_prepared[meta_key] = str(preset_prepared[meta_key])
+
+    return preset_prepared
+
+
 class MetadataParser(ABC):
     def __init__(self):
         self.raw_prompt: str = ''
@@ -213,7 +244,8 @@ class MetadataParser(ABC):
     def parse_string(self, metadata: dict) -> str:
         raise NotImplementedError
 
-    def set_data(self, raw_prompt, full_prompt, raw_negative_prompt, full_negative_prompt, steps, base_model_name, refiner_model_name, loras):
+    def set_data(self, raw_prompt, full_prompt, raw_negative_prompt, full_negative_prompt, steps, base_model_name,
+                 refiner_model_name, loras):
         self.raw_prompt = raw_prompt
         self.full_prompt = full_prompt
         self.raw_negative_prompt = raw_negative_prompt
@@ -492,16 +524,28 @@ def get_metadata_parser(metadata_scheme: MetadataScheme) -> MetadataParser:
             raise NotImplementedError
 
 
-def read_info_from_image(filepath) -> tuple[str | None, dict, MetadataScheme | None]:
+def read_info_from_image(filepath) -> tuple[str | None, MetadataScheme | None]:
     with Image.open(filepath) as image:
         items = (image.info or {}).copy()
 
     parameters = items.pop('parameters', None)
+    metadata_scheme = items.pop('fooocus_scheme', None)
+    exif = items.pop('exif', None)
+
     if parameters is not None and is_json(parameters):
         parameters = json.loads(parameters)
+    elif exif is not None:
+        exif = image.getexif()
+        # 0x9286 = UserComment
+        parameters = exif.get(0x9286, None)
+        # 0x927C = MakerNote
+        metadata_scheme = exif.get(0x927C, None)
+
+        if is_json(parameters):
+            parameters = json.loads(parameters)
 
     try:
-        metadata_scheme = MetadataScheme(items.pop('fooocus_scheme', None))
+        metadata_scheme = MetadataScheme(metadata_scheme)
     except ValueError:
         metadata_scheme = None
 
@@ -512,4 +556,16 @@ def read_info_from_image(filepath) -> tuple[str | None, dict, MetadataScheme | N
         if isinstance(parameters, str):
             metadata_scheme = MetadataScheme.A1111
 
-    return parameters, items, metadata_scheme
+    return parameters, metadata_scheme
+
+
+def get_exif(metadata: str | None, metadata_scheme: str):
+    exif = Image.Exif()
+    # tags see see https://github.com/python-pillow/Pillow/blob/9.2.x/src/PIL/ExifTags.py
+    # 0x9286 = UserComment
+    exif[0x9286] = metadata
+    # 0x0131 = Software
+    exif[0x0131] = 'Fooocus v' + fooocus_version.version
+    # 0x927C = MakerNote
+    exif[0x927C] = metadata_scheme
+    return exif
\ No newline at end of file
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 2213cbba..8fa5f73c 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -7,34 +7,42 @@ import urllib.parse
 from PIL import Image
 from PIL.PngImagePlugin import PngInfo
 from modules.util import generate_temp_filename
-from modules.meta_parser import MetadataParser
-from tempfile import gettempdir
+from modules.meta_parser import MetadataParser, get_exif
 
 log_cache = {}
 
 
-def get_current_html_path():
+def get_current_html_path(output_format=None):
+    output_format = output_format if output_format else modules.config.default_output_format
     date_string, local_temp_filename, only_name = generate_temp_filename(folder=modules.config.path_outputs,
-                                                                         extension='png')
+                                                                         extension=output_format)
     html_name = os.path.join(os.path.dirname(local_temp_filename), 'log.html')
     return html_name
 
 
-def log(img, metadata, metadata_parser: MetadataParser | None = None) -> str:
+def log(img, metadata, metadata_parser: MetadataParser | None = None, output_format=None) -> str:
     path_outputs = args_manager.args.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
-    date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension='png')
+    output_format = output_format if output_format else modules.config.default_output_format
+    date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension=output_format)
     os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True)
 
     parsed_parameters = metadata_parser.parse_string(metadata) if metadata_parser is not None else ''
     image = Image.fromarray(img)
 
-    if parsed_parameters != '':
-        pnginfo = PngInfo()
-        pnginfo.add_text('parameters', parsed_parameters)
-        pnginfo.add_text('fooocus_scheme', metadata_parser.get_scheme().value)
+    if output_format == 'png':
+        if parsed_parameters != '':
+            pnginfo = PngInfo()
+            pnginfo.add_text('parameters', parsed_parameters)
+            pnginfo.add_text('fooocus_scheme', metadata_parser.get_scheme().value)
+        else:
+            pnginfo = None
+        image.save(local_temp_filename, pnginfo=pnginfo)
+    elif output_format == 'jpg':
+        image.save(local_temp_filename, quality=95, optimize=True, progressive=True, exif=get_exif(parsed_parameters, metadata_parser.get_scheme().value) if metadata_parser else Image.Exif())
+    elif output_format == 'webp':
+        image.save(local_temp_filename, quality=95, lossless=False, exif=get_exif(parsed_parameters, metadata_parser.get_scheme().value) if metadata_parser else Image.Exif())
     else:
-        pnginfo = None
-    image.save(local_temp_filename, pnginfo=pnginfo)
+        image.save(local_temp_filename)
 
     if args_manager.args.disable_image_log:
         return local_temp_filename
diff --git a/webui.py b/webui.py
index 7020438e..5e8853ed 100644
--- a/webui.py
+++ b/webui.py
@@ -224,15 +224,12 @@ with shared.gradio_root:
                             metadata_import_button = gr.Button(value='Apply Metadata')
 
                         def trigger_metadata_preview(filepath):
-                            parameters, items, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
+                            parameters, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
 
                             results = {}
                             if parameters is not None:
                                 results['parameters'] = parameters
 
-                            if items:
-                                results['items'] = items
-
                             if isinstance(metadata_scheme, flags.MetadataScheme):
                                 results['metadata_scheme'] = metadata_scheme.value
 
@@ -263,6 +260,11 @@ with shared.gradio_root:
                                                    value=modules.config.default_aspect_ratio, info='width × height',
                                                    elem_classes='aspect_ratios')
                 image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)
+
+                output_format = gr.Radio(label='Output Format',
+                                            choices=modules.flags.output_formats,
+                                            value=modules.config.default_output_format)
+
                 negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
                                              info='Describing what you do not want to see.', lines=2,
                                              elem_id='negative_prompt',
@@ -292,7 +294,7 @@ with shared.gradio_root:
                     if args_manager.args.disable_image_log:
                         return gr.update(value='')
                     
-                    return gr.update(value=f'<a href="file={get_current_html_path()}" target="_blank">\U0001F4DA History Log</a>')
+                    return gr.update(value=f'<a href="file={get_current_html_path(output_format)}" target="_blank">\U0001F4DA History Log</a>')
 
                 history_link = gr.HTML()
                 shared.gradio_root.load(update_history_link, outputs=history_link, queue=False, show_progress=False)
@@ -532,7 +534,9 @@ with shared.gradio_root:
                                          adm_scaler_negative, refiner_switch, refiner_model, sampler_name,
                                          scheduler_name, adaptive_cfg, refiner_swap_method, negative_prompt, disable_intermediate_results
                                      ], queue=False, show_progress=False)
-
+        
+        output_format.input(lambda x: gr.update(output_format=x), inputs=output_format)
+        
         advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, advanced_column,
                                  queue=False, show_progress=False) \
             .then(fn=lambda: None, _js='refresh_grid_delayed', queue=False, show_progress=False)
@@ -573,7 +577,7 @@ with shared.gradio_root:
         ctrls = [currentTask, generate_image_grid]
         ctrls += [
             prompt, negative_prompt, style_selections,
-            performance_selection, aspect_ratios_selection, image_number, image_seed, sharpness, guidance_scale
+            performance_selection, aspect_ratios_selection, image_number, output_format, image_seed, sharpness, guidance_scale
         ]
 
         ctrls += [base_model, refiner_model, refiner_switch] + lora_ctrls
@@ -622,7 +626,7 @@ with shared.gradio_root:
         load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=False)
 
         def trigger_metadata_import(filepath, state_is_generating):
-            parameters, items, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
+            parameters, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
             if parameters is None:
                 print('Could not find metadata in the image!')
                 parsed_parameters = {}

From f4a6350300e03fb0aa7619d02a4704434dd5e89c Mon Sep 17 00:00:00 2001
From: whitehara <58582589+whitehara@users.noreply.github.com>
Date: Mon, 26 Feb 2024 18:30:05 +0200
Subject: [PATCH 064/180] feat: add docker files (#1418)

* Add docker files

* Add python precompiled cache file in the image

* Add Notes in docker.md

* Create docker-publish.yml

* Modify docker-compose.yml not to use the bind mount

* Update torch version

* Change --share to --listen

* Update torch version

* Change '--share' to '--listen`

* adjust code comments

* Update requirements-docker.txt

* chore: code cleanup

- default_model env var isn't necessary as model is included in default preset, same for speed
- ENV CMDARGS --listen is now synched with docker-compose.yml file
- remove

* Change entry_with_update.py to launch.py in entrypoint.sh

* Change CMD in Dockerfile

* Change default CMDARGS to --listen in Dockerfile

* Modify CMD in Dockerfile

* Fix docker-compose.yml

* Import files from models,outputs

* docs: change wording in docker.md, change git clone URL, add quotes to port mapping

* docs: remove docker publish github action, remove pre-built image from docs

* Modify modules versions for linux/arm64

* docs: update docker readme

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <dev@mash1t.de>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 .dockerignore           |  1 +
 Dockerfile              | 29 ++++++++++++++++++
 docker-compose.yml      | 38 ++++++++++++++++++++++++
 docker.md               | 66 +++++++++++++++++++++++++++++++++++++++++
 entrypoint.sh           | 33 +++++++++++++++++++++
 modules/config.py       | 25 +++++++++++++---
 modules/util.py         |  2 +-
 readme.md               |  4 +++
 requirements_docker.txt |  5 ++++
 9 files changed, 198 insertions(+), 5 deletions(-)
 create mode 100644 .dockerignore
 create mode 100644 Dockerfile
 create mode 100644 docker-compose.yml
 create mode 100644 docker.md
 create mode 100755 entrypoint.sh
 create mode 100644 requirements_docker.txt

diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 00000000..485dee64
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1 @@
+.idea
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 00000000..2aea2810
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,29 @@
+FROM nvidia/cuda:12.3.1-base-ubuntu22.04
+ENV DEBIAN_FRONTEND noninteractive
+ENV CMDARGS --listen
+
+RUN apt-get update -y && \
+	apt-get install -y curl libgl1 libglib2.0-0 python3-pip python-is-python3 git && \
+	apt-get clean && \
+	rm -rf /var/lib/apt/lists/*
+
+COPY requirements_docker.txt requirements_versions.txt /tmp/
+RUN pip install --no-cache-dir -r /tmp/requirements_docker.txt -r /tmp/requirements_versions.txt && \
+	rm -f /tmp/requirements_docker.txt /tmp/requirements_versions.txt
+RUN pip install --no-cache-dir xformers==0.0.22 --no-dependencies
+RUN curl -fsL -o /usr/local/lib/python3.10/dist-packages/gradio/frpc_linux_amd64_v0.2 https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_linux_amd64 && \
+	chmod +x /usr/local/lib/python3.10/dist-packages/gradio/frpc_linux_amd64_v0.2
+
+RUN adduser --disabled-password --gecos '' user && \
+	mkdir -p /content/app /content/data
+
+COPY entrypoint.sh /content/
+RUN chown -R user:user /content
+
+WORKDIR /content
+USER user
+
+RUN git clone https://github.com/lllyasviel/Fooocus /content/app
+RUN mv /content/app/models /content/app/models.org
+
+CMD [ "sh", "-c", "/content/entrypoint.sh ${CMDARGS}" ]
diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 00000000..dee7b3e7
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,38 @@
+version: '3.9'
+
+volumes:
+  fooocus-data:
+
+services:
+  app:
+    build: .
+    image: fooocus
+    ports:
+     - "7865:7865"
+    environment:
+      - CMDARGS=--listen    # Arguments for launch.py.
+      - DATADIR=/content/data   # Directory which stores models, outputs dir
+      - config_path=/content/data/config.txt
+      - config_example_path=/content/data/config_modification_tutorial.txt
+      - path_checkpoints=/content/data/models/checkpoints/
+      - path_loras=/content/data/models/loras/
+      - path_embeddings=/content/data/models/embeddings/
+      - path_vae_approx=/content/data/models/vae_approx/
+      - path_upscale_models=/content/data/models/upscale_models/
+      - path_inpaint=/content/data/models/inpaint/
+      - path_controlnet=/content/data/models/controlnet/
+      - path_clip_vision=/content/data/models/clip_vision/
+      - path_fooocus_expansion=/content/data/models/prompt_expansion/fooocus_expansion/
+      - path_outputs=/content/app/outputs/    # Warning: If it is not located under '/content/app', you can't see history log!
+    volumes:
+      - fooocus-data:/content/data
+      #- ./models:/import/models   # Once you import files, you don't need to mount again.
+      #- ./outputs:/import/outputs  # Once you import files, you don't need to mount again.
+    tty: true
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              device_ids: ['0']
+              capabilities: [compute, utility]
diff --git a/docker.md b/docker.md
new file mode 100644
index 00000000..36cfa632
--- /dev/null
+++ b/docker.md
@@ -0,0 +1,66 @@
+# Fooocus on Docker
+
+The docker image is based on NVIDIA CUDA 12.3 and PyTorch 2.0, see [Dockerfile](Dockerfile) and [requirements_docker.txt](requirements_docker.txt) for details.
+
+## Quick start
+
+**This is just an easy way for testing. Please find more information in the [notes](#notes).**
+
+1. Clone this repository
+2. Build the image with `docker compose build`
+3. Run the docker container with `docker compose up`. Building the image takes some time.
+
+When you see the message  `Use the app with http://0.0.0.0:7865/` in the console, you can access the URL in your browser.
+
+Your models and outputs are stored in the `fooocus-data` volume, which, depending on OS, is stored in `/var/lib/docker/volumes`.
+
+## Details
+
+### Update the container manually
+
+When you are using `docker compose up` continuously, the container is not updated to the latest version of Fooocus automatically.
+Run `git pull` before executing `docker compose build --no-cache` to build an image with the latest Fooocus version.
+You can then start it with `docker compose up`
+
+### Import models, outputs
+If you want to import files from models or the outputs folder, you can uncomment the following settings in the [docker-compose.yml](docker-compose.yml):
+```
+#- ./models:/import/models   # Once you import files, you don't need to mount again.
+#- ./outputs:/import/outputs  # Once you import files, you don't need to mount again.
+```
+After running `docker compose up`, your files will be copied into `/content/data/models` and `/content/data/outputs`
+Since `/content/data` is a persistent volume folder, your files will be persisted even when you re-run `docker compose up --build` without above volume settings.
+
+
+### Paths inside the container
+
+|Path|Details|
+|-|-|
+|/content/app|The application stored folder|
+|/content/app/models.org|Original 'models' folder.<br> Files are copied to the '/content/app/models' which is symlinked to '/content/data/models' every time the container boots. (Existing files will not be overwritten.) |
+|/content/data|Persistent volume mount point|
+|/content/data/models|The folder is symlinked to '/content/app/models'|
+|/content/data/outputs|The folder is symlinked to '/content/app/outputs'|
+
+### Environments
+
+You can change `config.txt` parameters by using environment variables.
+**The priority of using the environments is higher than the values defined in `config.txt`, and they will be saved to the `config_modification_tutorial.txt`**
+
+Docker specified environments are there. They are used by 'entrypoint.sh'
+|Environment|Details|
+|-|-|
+|DATADIR|'/content/data' location.|
+|CMDARGS|Arguments for [entry_with_update.py](entry_with_update.py) which is called by [entrypoint.sh](entrypoint.sh)|
+|config_path|'config.txt' location|
+|config_example_path|'config_modification_tutorial.txt' location|
+
+You can also use the same json key names and values explained in the 'config_modification_tutorial.txt' as the environments.
+See examples in the [docker-compose.yml](docker-compose.yml)
+
+## Notes
+
+- Please keep 'path_outputs' under '/content/app'. Otherwise, you may get an error when you open the history log.
+- Docker on Mac/Windows still has issues in the form of slow volume access when you use "bind mount" volumes. Please refer to [this article](https://docs.docker.com/storage/volumes/#use-a-volume-with-docker-compose) for not using "bind mount".
+- The MPS backend (Metal Performance Shaders, Apple Silicon M1/M2/etc.) is not yet supported in Docker, see https://github.com/pytorch/pytorch/issues/81224
+- You can also use `docker compose up -d` to start the container detached and connect to the logs with `docker compose logs -f`. This way you can also close the terminal and keep the container running.
\ No newline at end of file
diff --git a/entrypoint.sh b/entrypoint.sh
new file mode 100755
index 00000000..d0dba09c
--- /dev/null
+++ b/entrypoint.sh
@@ -0,0 +1,33 @@
+#!/bin/bash
+
+ORIGINALDIR=/content/app
+# Use predefined DATADIR if it is defined
+[[ x"${DATADIR}" == "x" ]] && DATADIR=/content/data
+
+# Make persistent dir from original dir
+function mklink () {
+	mkdir -p $DATADIR/$1
+	ln -s $DATADIR/$1 $ORIGINALDIR
+}
+
+# Copy old files from import dir
+function import () {
+	(test -d /import/$1 && cd /import/$1 && cp -Rpn . $DATADIR/$1/)
+}
+
+cd $ORIGINALDIR
+
+# models
+mklink models
+# Copy original files
+(cd $ORIGINALDIR/models.org && cp -Rpn . $ORIGINALDIR/models/)
+# Import old files
+import models
+
+# outputs
+mklink outputs
+# Import old files
+import outputs
+
+# Start application
+python launch.py $*
diff --git a/modules/config.py b/modules/config.py
index 6800c004..328878cc 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -10,8 +10,16 @@ from modules.model_loader import load_file_from_url
 from modules.util import get_files_from_folder, makedirs_with_log
 from modules.flags import Performance, MetadataScheme
 
-config_path = os.path.abspath("./config.txt")
-config_example_path = os.path.abspath("config_modification_tutorial.txt")
+def get_config_path(key, default_value):
+    env = os.getenv(key)
+    if env is not None and isinstance(env, str):
+        print(f"Environment: {key} = {env}")
+        return env
+    else:
+        return os.path.abspath(default_value)
+
+config_path = get_config_path('config_path', "./config.txt")
+config_example_path = get_config_path('config_example_path', "config_modification_tutorial.txt")
 config_dict = {}
 always_save_keys = []
 visited_keys = []
@@ -123,7 +131,12 @@ def get_dir_or_set_default(key, default_value, as_array=False, make_directory=Fa
     if key not in always_save_keys:
         always_save_keys.append(key)
 
-    v = config_dict.get(key, None)
+    v = os.getenv(key)
+    if v is not None:
+        print(f"Environment: {key} = {v}")
+        config_dict[key] = v
+    else:
+        v = config_dict.get(key, None)
 
     if isinstance(v, str):
         if make_directory:
@@ -165,13 +178,17 @@ path_clip_vision = get_dir_or_set_default('path_clip_vision', '../models/clip_vi
 path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../models/prompt_expansion/fooocus_expansion')
 path_outputs = get_path_output()
 
-
 def get_config_item_or_set_default(key, default_value, validator, disable_empty_as_none=False):
     global config_dict, visited_keys
 
     if key not in visited_keys:
         visited_keys.append(key)
     
+    v = os.getenv(key)
+    if v is not None:
+        print(f"Environment: {key} = {v}")
+        config_dict[key] = v
+
     if key not in config_dict:
         config_dict[key] = default_value
         return default_value
diff --git a/modules/util.py b/modules/util.py
index 29d48696..c7923ec8 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -160,7 +160,7 @@ def generate_temp_filename(folder='./outputs/', extension='png'):
     random_number = random.randint(1000, 9999)
     filename = f"{time_string}_{random_number}.{extension}"
     result = os.path.join(folder, date_string, filename)
-    return date_string, os.path.abspath(os.path.realpath(result)), filename
+    return date_string, os.path.abspath(result), filename
 
 
 def get_files_from_folder(folder_path, exensions=None, name_filter=None):
diff --git a/readme.md b/readme.md
index 18b48f3a..a1e62fa4 100644
--- a/readme.md
+++ b/readme.md
@@ -237,6 +237,10 @@ You can install Fooocus on Apple Mac silicon (M1 or M2) with macOS 'Catalina' or
 
 Use `python entry_with_update.py --preset anime` or `python entry_with_update.py --preset realistic` for Fooocus Anime/Realistic Edition.
 
+### Docker
+
+See [docker.md](docker.md)
+
 ### Download Previous Version
 
 See the guidelines [here](https://github.com/lllyasviel/Fooocus/discussions/1405).
diff --git a/requirements_docker.txt b/requirements_docker.txt
new file mode 100644
index 00000000..3cf4aa89
--- /dev/null
+++ b/requirements_docker.txt
@@ -0,0 +1,5 @@
+torch==2.0.1
+torchvision==0.15.2
+torchaudio==2.0.2
+torchtext==0.15.2
+torchdata==0.6.1

From 4e526e255ea52ea7420b2b85897bd36430915b57 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 26 Feb 2024 17:39:29 +0100
Subject: [PATCH 065/180] docs: add missing release notes for 2.1.865

---
 update_log.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/update_log.md b/update_log.md
index e052d24c..79b523a4 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,8 @@
+# 2.1.865
+
+* Various bugfixes
+* Add authentication to --listen
+
 # 2.1.864
 
 * New model list. See also discussions.

From 692beadbdcf36e4e9f04d21eafba3090448915ee Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 26 Feb 2024 17:41:29 +0100
Subject: [PATCH 066/180] docs: bump version number to 2.2.0-rc1

easier debugging and issue handling
---
 fooocus_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index 91c2ddda..de51863a 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.1.865'
+version = '2.2.0-rc1'

From 9c30961efda2c63726c0aede238b16f666b1dfaa Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Mon, 26 Feb 2024 21:12:27 +0100
Subject: [PATCH 067/180] fix: add missing return statement in
 model_refresh_clicked

---
 webui.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/webui.py b/webui.py
index 5e8853ed..180c7d2b 100644
--- a/webui.py
+++ b/webui.py
@@ -521,6 +521,7 @@ with shared.gradio_root:
                     results += [gr.update(choices=['None'] + modules.config.model_filenames)]
                     for i in range(modules.config.default_max_lora_number):
                         results += [gr.update(interactive=True), gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
+                    return results
 
                 model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,
                                     queue=False, show_progress=False)

From 4f4d23f4e3e6896daeb16025b483f9de50f8cdc6 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Mon, 26 Feb 2024 21:14:11 +0100
Subject: [PATCH 068/180] fix: use filename instead of download function call
 for lcm lora

do not require lcm lora to be downloaded for metadata parsing
---
 modules/config.py      | 5 +++--
 modules/meta_parser.py | 6 ++++--
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index 328878cc..09c8fd7c 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -474,6 +474,7 @@ with open(config_example_path, "w", encoding="utf-8") as json_file:
 
 model_filenames = []
 lora_filenames = []
+sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
 
 
 def get_model_filenames(folder_paths, name_filter=None):
@@ -533,9 +534,9 @@ def downloading_sdxl_lcm_lora():
     load_file_from_url(
         url='https://huggingface.co/lllyasviel/misc/resolve/main/sdxl_lcm_lora.safetensors',
         model_dir=paths_loras[0],
-        file_name='sdxl_lcm_lora.safetensors'
+        file_name=sdxl_lcm_lora
     )
-    return 'sdxl_lcm_lora.safetensors'
+    return sdxl_lcm_lora
 
 
 def downloading_controlnet_canny():
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 9b2dadb3..da8c70b2 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -379,7 +379,8 @@ class A1111MetadataParser(MetadataParser):
 
         if 'lora_hashes' in data:
             lora_filenames = modules.config.lora_filenames.copy()
-            lora_filenames.remove(modules.config.downloading_sdxl_lcm_lora())
+            if modules.config.sdxl_lcm_lora in lora_filenames:
+                lora_filenames.remove(modules.config.sdxl_lcm_lora)
             for li, lora in enumerate(data['lora_hashes'].split(', ')):
                 lora_name, lora_hash, lora_weight = lora.split(': ')
                 for filename in lora_filenames:
@@ -460,7 +461,8 @@ class FooocusMetadataParser(MetadataParser):
     def parse_json(self, metadata: dict) -> dict:
         model_filenames = modules.config.model_filenames.copy()
         lora_filenames = modules.config.lora_filenames.copy()
-        lora_filenames.remove(modules.config.downloading_sdxl_lcm_lora())
+        if modules.config.sdxl_lcm_lora in lora_filenames:
+            lora_filenames.remove(modules.config.sdxl_lcm_lora)
 
         for key, value in metadata.items():
             if value in ['', 'None']:

From 41e88a4e8d9acd20dd088e2a13e09d3ae2fd0500 Mon Sep 17 00:00:00 2001
From: Gianluca Teti <51110452+gteti@users.noreply.github.com>
Date: Thu, 29 Feb 2024 16:10:34 +0100
Subject: [PATCH 069/180] docs: fix typo in readme (#2368)

---
 readme.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/readme.md b/readme.md
index a1e62fa4..0bfee5b4 100644
--- a/readme.md
+++ b/readme.md
@@ -297,7 +297,7 @@ In both ways the access is unauthenticated by default. You can add basic authent
 
 The below things are already inside the software, and **users do not need to do anything about these**.
 
-1. GPT2-based [prompt expansion as a dynamic style "Fooocus V2".](https://github.com/lllyasviel/Fooocus/discussions/117#raw) (similar to Midjourney's hidden pre-processsing and "raw" mode, or the LeonardoAI's Prompt Magic).
+1. GPT2-based [prompt expansion as a dynamic style "Fooocus V2".](https://github.com/lllyasviel/Fooocus/discussions/117#raw) (similar to Midjourney's hidden pre-processing and "raw" mode, or the LeonardoAI's Prompt Magic).
 2. Native refiner swap inside one single k-sampler. The advantage is that the refiner model can now reuse the base model's momentum (or ODE's history parameters) collected from k-sampling to achieve more coherent sampling. In Automatic1111's high-res fix and ComfyUI's node system, the base model and refiner use two independent k-samplers, which means the momentum is largely wasted, and the sampling continuity is broken. Fooocus uses its own advanced k-diffusion sampling that ensures seamless, native, and continuous swap in a refiner setup. (Update Aug 13: Actually, I discussed this with Automatic1111 several days ago, and it seems that the “native refiner swap inside one single k-sampler” is [merged]( https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12371) into the dev branch of webui. Great!)
 3. Negative ADM guidance. Because the highest resolution level of XL Base does not have cross attentions, the positive and negative signals for XL's highest resolution level cannot receive enough contrasts during the CFG sampling, causing the results to look a bit plastic or overly smooth in certain cases. Fortunately, since the XL's highest resolution level is still conditioned on image aspect ratios (ADM), we can modify the adm on the positive/negative side to compensate for the lack of CFG contrast in the highest resolution level. (Update Aug 16, the IOS App [Draw Things](https://apps.apple.com/us/app/draw-things-ai-generation/id6444050820) will support Negative ADM Guidance. Great!)
 4. We implemented a carefully tuned variation of Section 5.1 of ["Improving Sample Quality of Diffusion Models Using Self-Attention Guidance"](https://arxiv.org/pdf/2210.00939.pdf). The weight is set to very low, but this is Fooocus's final guarantee to make sure that the XL will never yield an overly smooth or plastic appearance (examples [here](https://github.com/lllyasviel/Fooocus/discussions/117#sharpness)). This can almost eliminate all cases for which XL still occasionally produces overly smooth results, even with negative ADM guidance. (Update 2023 Aug 18, the Gaussian kernel of SAG is changed to an anisotropic kernel for better structure preservation and fewer artifacts.)

From 6db14acf8e2c383d6e33f689646ebf9599f83e9a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Sat, 2 Mar 2024 16:25:31 +0100
Subject: [PATCH 070/180] docs: update version and changelog

---
 fooocus_version.py |  2 +-
 update_log.md      | 10 +++++++++-
 2 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index de51863a..d4b750f9 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.2.0-rc1'
+version = '2.2.0'
diff --git a/update_log.md b/update_log.md
index 79b523a4..b0192d0d 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,4 +1,12 @@
-# 2.1.865
+# [2.2.0](https://github.com/lllyasviel/Fooocus/releases/tag/2.2.0)
+
+* Isolate every image generation to truly allow multi-user usage
+* Add array support, changes the main prompt when increasing the image number. Syntax: `[[red, green, blue]] flower` 
+* Add optional metadata to images, allowing you to regenerate and modify them later with the same parameters 
+* Now supports native PNG, JPG and WEBP image generation
+* Add Docker support
+
+# [2.1.865](https://github.com/lllyasviel/Fooocus/releases/tag/2.1.865)
 
 * Various bugfixes
 * Add authentication to --listen

From 90839430da4cd0badff2f718f1365fd81e00b673 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 2 Mar 2024 19:05:11 +0100
Subject: [PATCH 071/180] fix: adjust parameters for upscale fast 2x (#2411)

---
 modules/async_worker.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 2c029cfb..908cc8c2 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -553,8 +553,8 @@ def worker():
                 direct_return = False
 
             if direct_return:
-                d = [('Upscale (Fast)', '2x')]
-                uov_input_image_path = log(uov_input_image, d, output_format)
+                d = [('Upscale (Fast)', 'upscale_fast', '2x')]
+                uov_input_image_path = log(uov_input_image, d, output_format=output_format)
                 yield_result(async_task, uov_input_image_path, do_not_show_finished_images=True)
                 return
 

From 4ea3baff501f876f1e1e6628491b56fb5a3832ee Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 3 Mar 2024 00:21:59 +0100
Subject: [PATCH 072/180] fix: add handling for filepaths to image grid (#2414)

previously skipped due to not being in np.ndarray format but string
---
 modules/async_worker.py | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 908cc8c2..fd785f07 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -22,6 +22,7 @@ def worker():
     import traceback
     import math
     import numpy as np
+    import cv2
     import torch
     import time
     import shared
@@ -79,16 +80,20 @@ def worker():
         return
 
     def build_image_wall(async_task):
-        results = async_task.results
+        results = []
 
-        if len(results) < 2:
+        if len(async_task.results) < 2:
             return
 
-        for img in results:
+        for img in async_task.results:
+            if isinstance(img, str) and os.path.exists(img):
+                img = cv2.imread(img)
+                img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
             if not isinstance(img, np.ndarray):
                 return
             if img.ndim != 3:
                 return
+            results.append(img)
 
         H, W, C = results[0].shape
 

From fb94394b10807b4ae23d21fe69e703dc85abae94 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 3 Mar 2024 18:46:26 +0100
Subject: [PATCH 073/180] fix: add fallback value for default_max_lora_number
 when default_loras is empty (#2430)

---
 modules/config.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/config.py b/modules/config.py
index 09c8fd7c..a68bd218 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -264,7 +264,7 @@ default_loras = get_config_item_or_set_default(
 )
 default_max_lora_number = get_config_item_or_set_default(
     key='default_max_lora_number',
-    default_value=len(default_loras),
+    default_value=len(default_loras) if isinstance(default_loras, list) and len(default_loras) > 0 else 5,
     validator=lambda x: isinstance(x, int) and x >= 1
 )
 default_cfg_scale = get_config_item_or_set_default(

From c3fd57acb9dc29383a81542b07ae8c2ac863a1ea Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 3 Mar 2024 19:34:38 +0100
Subject: [PATCH 074/180] feat: add metadata flag and steps override to history
 log (#2425)

* feat: add metadata hint to history log

* feat: add actual metadata_scheme to log instead of only boolean

* feat: add steps to log if they were overridden

* fix: pass copy of metadata

prevents LoRA file extension removal in history log caused by passing reference to meta_parser fooocus scheme
---
 modules/async_worker.py   | 36 ++++++++++++++++++++----------------
 modules/private_logger.py |  4 ++--
 2 files changed, 22 insertions(+), 18 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index fd785f07..a8661f4d 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -830,17 +830,21 @@ def worker():
                          ('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),
                          ('Fooocus V2 Expansion', 'prompt_expansion', task['expansion']),
                          ('Styles', 'styles', str(raw_style_selections)),
-                         ('Performance', 'performance', performance_selection.value),
-                         ('Resolution', 'resolution', str((width, height))),
-                         ('Guidance Scale', 'guidance_scale', guidance_scale),
-                         ('Sharpness', 'sharpness', sharpness),
-                         ('ADM Guidance', 'adm_guidance', str((
-                             modules.patch.patch_settings[pid].positive_adm_scale,
-                             modules.patch.patch_settings[pid].negative_adm_scale,
-                             modules.patch.patch_settings[pid].adm_scaler_end))),
-                         ('Base Model', 'base_model', base_model_name),
-                         ('Refiner Model', 'refiner_model', refiner_model_name),
-                         ('Refiner Switch', 'refiner_switch', refiner_switch)]
+                         ('Performance', 'performance', performance_selection.value)]
+
+                    if performance_selection.steps() != steps:
+                        d.append(('Steps', 'steps', steps))
+
+                    d += [('Resolution', 'resolution', str((width, height))),
+                          ('Guidance Scale', 'guidance_scale', guidance_scale),
+                          ('Sharpness', 'sharpness', sharpness),
+                          ('ADM Guidance', 'adm_guidance', str((
+                              modules.patch.patch_settings[pid].positive_adm_scale,
+                              modules.patch.patch_settings[pid].negative_adm_scale,
+                              modules.patch.patch_settings[pid].adm_scaler_end))),
+                          ('Base Model', 'base_model', base_model_name),
+                          ('Refiner Model', 'refiner_model', refiner_model_name),
+                          ('Refiner Switch', 'refiner_switch', refiner_switch)]
 
                     if refiner_model_name != 'None':
                         if overwrite_switch > 0:
@@ -857,17 +861,17 @@ def worker():
                     if freeu_enabled:
                         d.append(('FreeU', 'freeu', str((freeu_b1, freeu_b2, freeu_s1, freeu_s2))))
 
+                    for li, (n, w) in enumerate(loras):
+                        if n != 'None':
+                            d.append((f'LoRA {li + 1}', f'lora_combined_{li + 1}', f'{n} : {w}'))
+
                     metadata_parser = None
                     if save_metadata_to_images:
                         metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
                         metadata_parser.set_data(task['log_positive_prompt'], task['positive'],
                                                  task['log_negative_prompt'], task['negative'],
                                                  steps, base_model_name, refiner_model_name, loras)
-
-                    for li, (n, w) in enumerate(loras):
-                        if n != 'None':
-                            d.append((f'LoRA {li + 1}', f'lora_combined_{li + 1}', f'{n} : {w}'))
-
+                    d.append(('Metadata Scheme', 'metadata_scheme', metadata_scheme.value if save_metadata_to_images else save_metadata_to_images))
                     d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
                     img_paths.append(log(x, d, metadata_parser, output_format))
 
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 8fa5f73c..01e570a7 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -26,7 +26,7 @@ def log(img, metadata, metadata_parser: MetadataParser | None = None, output_for
     date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension=output_format)
     os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True)
 
-    parsed_parameters = metadata_parser.parse_string(metadata) if metadata_parser is not None else ''
+    parsed_parameters = metadata_parser.parse_string(metadata.copy()) if metadata_parser is not None else ''
     image = Image.fromarray(img)
 
     if output_format == 'png':
@@ -90,7 +90,7 @@ def log(img, metadata, metadata_parser: MetadataParser | None = None, output_for
         </script>"""
     )
 
-    begin_part = f"<!DOCTYPE html><html><head><title>Fooocus Log {date_string}</title>{css_styles}</head><body>{js}<p>Fooocus Log {date_string} (private)</p>\n<p>All images are clean, without any hidden data/meta, and safe to share with others.</p><!--fooocus-log-split-->\n\n"
+    begin_part = f"<!DOCTYPE html><html><head><title>Fooocus Log {date_string}</title>{css_styles}</head><body>{js}<p>Fooocus Log {date_string} (private)</p>\n<p>Metadata is embedded if enabled in the config or developer debug mode. You can find the information for each image in line Metadata Scheme.</p><!--fooocus-log-split-->\n\n"
     end_part = f'\n<!--fooocus-log-split--></body></html>'
 
     middle_part = log_cache.get(html_name, "")

From e241c53f0e20df66135625f8751dec58a4ca6cb5 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 3 Mar 2024 21:15:42 +0100
Subject: [PATCH 075/180] feat: adjust width of lora_weight for firefox (#2431)

---
 modules/html.py | 14 ++++----------
 webui.py        |  6 +++---
 2 files changed, 7 insertions(+), 13 deletions(-)

diff --git a/modules/html.py b/modules/html.py
index 47a1483a..769151a9 100644
--- a/modules/html.py
+++ b/modules/html.py
@@ -112,10 +112,6 @@ progress::after {
     margin-left: -5px !important;
 }
 
-.lora_enable {
-  flex-grow: 1 !important;
-}
-
 .lora_enable label {
   height: 100%;
 }
@@ -128,12 +124,10 @@ progress::after {
   display: none;
 }
 
-.lora_model {
-  flex-grow: 5 !important;
-}
-
-.lora_weight {
-  flex-grow: 5 !important;
+@-moz-document url-prefix() {
+  .lora_weight input[type=number] {
+    width: 80px;
+  }
 }
 
 '''
diff --git a/webui.py b/webui.py
index 180c7d2b..944f49b7 100644
--- a/webui.py
+++ b/webui.py
@@ -355,13 +355,13 @@ with shared.gradio_root:
                     for i, (n, v) in enumerate(modules.config.default_loras):
                         with gr.Row():
                             lora_enabled = gr.Checkbox(label='Enable', value=True,
-                                                       elem_classes=['lora_enable', 'min_check'])
+                                                       elem_classes=['lora_enable', 'min_check'], scale=1)
                             lora_model = gr.Dropdown(label=f'LoRA {i + 1}',
                                                      choices=['None'] + modules.config.lora_filenames, value=n,
-                                                     elem_classes='lora_model')
+                                                     elem_classes='lora_model', scale=5)
                             lora_weight = gr.Slider(label='Weight', minimum=modules.config.default_loras_min_weight,
                                                     maximum=modules.config.default_loras_max_weight, step=0.01, value=v,
-                                                    elem_classes='lora_weight')
+                                                    elem_classes='lora_weight', scale=5)
                             lora_ctrls += [lora_enabled, lora_model, lora_weight]
 
                 with gr.Row():

From e965bfc39caaef96a08f2198633a50815afb2b02 Mon Sep 17 00:00:00 2001
From: eddyizm <eddyizm@gmail.com>
Date: Sun, 3 Mar 2024 15:22:47 -0800
Subject: [PATCH 076/180] fix: add hint for png to metadata scheme selection
 (#2434)

---
 language/en.json | 2 +-
 webui.py         | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/language/en.json b/language/en.json
index cb5603f9..f61255c9 100644
--- a/language/en.json
+++ b/language/en.json
@@ -379,7 +379,7 @@
     "Metadata": "Metadata",
     "Apply Metadata": "Apply Metadata",
     "Metadata Scheme": "Metadata Scheme",
-    "Image Prompt parameters are not included. Use a1111 for compatibility with Civitai.": "Image Prompt parameters are not included. Use a1111 for compatibility with Civitai.",
+    "Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.": "Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.",
     "fooocus (json)": "fooocus (json)",
     "a1111 (plain text)": "a1111 (plain text)"
 }
\ No newline at end of file
diff --git a/webui.py b/webui.py
index 944f49b7..42dd890f 100644
--- a/webui.py
+++ b/webui.py
@@ -438,7 +438,7 @@ with shared.gradio_root:
                             save_metadata_to_images = gr.Checkbox(label='Save Metadata to Images', value=modules.config.default_save_metadata_to_images,
                                                                   info='Adds parameters to generated images allowing manual regeneration.')
                             metadata_scheme = gr.Radio(label='Metadata Scheme', choices=flags.metadata_scheme, value=modules.config.default_metadata_scheme,
-                                                       info='Image Prompt parameters are not included. Use a1111 for compatibility with Civitai.',
+                                                       info='Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.',
                                                        visible=modules.config.default_save_metadata_to_images)
 
                             save_metadata_to_images.change(lambda x: gr.update(visible=x), inputs=[save_metadata_to_images], outputs=[metadata_scheme], 

From e54fb54f914575dc3b9da5f8b81facdb295fb879 Mon Sep 17 00:00:00 2001
From: nbs <nbst88@gmail.com>
Date: Mon, 4 Mar 2024 02:19:49 -0700
Subject: [PATCH 077/180] fix: typo in wildcards/animal.txt (#2433)

* Fix typo in animal wildcards

* Update animal.txt
---
 wildcards/animal.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/wildcards/animal.txt b/wildcards/animal.txt
index 9a6f09ba..3c479daa 100644
--- a/wildcards/animal.txt
+++ b/wildcards/animal.txt
@@ -18,7 +18,7 @@ Chihuahua
 Chimpanzee
 Chinchilla
 Chipmunk
-Comodo Dragon
+Komodo Dragon
 Cow
 Coyote
 Crocodile
@@ -97,4 +97,4 @@ Whale
 Wolf
 Wombat
 Yak
-Zebra
\ No newline at end of file
+Zebra

From 9155d940674d8f90c927920b60e0ce066ae0cf16 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Mon, 4 Mar 2024 11:22:24 +0100
Subject: [PATCH 078/180] feat: match anything in array syntax, not only words
 and whitespace (#2438)

allows e.g. [[ (red:1.1), (blue:1.2) ]] and enables same seed checks for different prompt weight
---
 modules/sdxl_styles.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/modules/sdxl_styles.py b/modules/sdxl_styles.py
index 71afc402..2a310024 100644
--- a/modules/sdxl_styles.py
+++ b/modules/sdxl_styles.py
@@ -94,9 +94,8 @@ def get_words(arrays, totalMult, index):
         return [word] + get_words(arrays[1:], math.floor(totalMult/len(words)), index)
 
 
-
 def apply_arrays(text, index):
-    arrays = re.findall(r'\[\[([\s,\w-]+)\]\]', text)
+    arrays = re.findall(r'\[\[(.*?)\]\]', text)
     if len(arrays) == 0:
         return text
 

From ee96b854d973d16fbf69c2c251578c9d74782152 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Mon, 4 Mar 2024 11:33:49 +0100
Subject: [PATCH 079/180] docs: update version and changelog

---
 fooocus_version.py | 2 +-
 update_log.md      | 6 ++++++
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index d4b750f9..6c3c2c90 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.2.0'
+version = '2.2.1'
diff --git a/update_log.md b/update_log.md
index b0192d0d..322c19c1 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,9 @@
+# [2.2.1](https://github.com/lllyasviel/Fooocus/releases/tag/2.2.1)
+
+* Fix some small bugs (e.g. image grid, upscale fast 2x, LoRA weight width in Firefox)
+* Allow prompt weights in array syntax
+* Add steps override and metadata scheme to history log
+
 # [2.2.0](https://github.com/lllyasviel/Fooocus/releases/tag/2.2.0)
 
 * Isolate every image generation to truly allow multi-user usage

From 6cfcc620004be58830a55e9f5ee67ca11cfba12c Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 5 Mar 2024 18:18:47 +0100
Subject: [PATCH 080/180] fix: parse width and height as int when applying
 metadata (#2452)

fixes an issue with A1111 metadata scheme where width and height are strings after splitting resolution
---
 modules/meta_parser.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index da8c70b2..546c093f 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -117,8 +117,8 @@ def get_resolution(key: str, fallback: str | None, source_dict: dict, results: l
             results.append(-1)
         else:
             results.append(gr.update())
-            results.append(width)
-            results.append(height)
+            results.append(int(width))
+            results.append(int(height))
     except:
         results.append(gr.update())
         results.append(gr.update())

From 3a64fe3eb376d8c89dda839f169733a79edcca43 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 5 Mar 2024 21:16:21 +0100
Subject: [PATCH 081/180] fix: do not attempt to remove non-existing image grid
 file (#2456)

image grid is actually not an image here but a numpy array, as the grid isn't saved by default
---
 webui.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/webui.py b/webui.py
index 42dd890f..80b1a3d8 100644
--- a/webui.py
+++ b/webui.py
@@ -76,7 +76,8 @@ def generate_clicked(task):
                 # delete Fooocus temp images, only keep gradio temp images
                 if args_manager.args.disable_image_log:
                     for filepath in product:
-                        os.remove(filepath)
+                        if isinstance(filepath, str) and os.path.exists(filepath):
+                            os.remove(filepath)
 
     execution_time = time.perf_counter() - execution_start_time
     print(f'Total time: {execution_time:.2f} seconds')

From 831c6b93cc95048da8a37f15c3babe2f894db2fb Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 9 Mar 2024 14:13:16 +0100
Subject: [PATCH 082/180] feat: add troubleshooting guide to bug report
 template again (#2489)

---
 .github/ISSUE_TEMPLATE/bug_report.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
index 483e0de1..5b9cded6 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.yml
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -21,6 +21,7 @@ body:
         　5. Try a fresh installation of Fooocus in a different directory - see if a clean installation solves the issue
         Before making a issue report please, check that the issue hasn't been reported recently.
       options:
+        - label: The issue has not been resolved by following the [troubleshooting guide](https://github.com/lllyasviel/Fooocus/blob/main/troubleshoot.md)
         - label: The issue exists on a clean installation of Fooocus
         - label: The issue exists in the current version of Fooocus
         - label: The issue has not been reported before recently

From b6e4bb86f4dc39119f069657b3dd502af7251378 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 9 Mar 2024 16:00:25 +0100
Subject: [PATCH 083/180] feat: use jpeg instead of jpg, use enums instead of
 strings (#2453)

* fix: parse width and height as int when applying metadata (#2452)

fixes an issue with A1111 metadata scheme where width and height are strings after splitting resolution

* feat: use jpeg instead of jpg, use enums instead of strings
---
 modules/config.py         |  4 ++--
 modules/flags.py          | 17 +++++++++++------
 modules/meta_parser.py    |  4 ++--
 modules/private_logger.py |  9 +++++----
 webui.py                  | 14 +++++++-------
 5 files changed, 27 insertions(+), 21 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index a68bd218..ef6de2ae 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -8,7 +8,7 @@ import modules.sdxl_styles
 
 from modules.model_loader import load_file_from_url
 from modules.util import get_files_from_folder, makedirs_with_log
-from modules.flags import Performance, MetadataScheme
+from modules.flags import OutputFormat, Performance, MetadataScheme
 
 def get_config_path(key, default_value):
     env = os.getenv(key)
@@ -326,7 +326,7 @@ default_max_image_number = get_config_item_or_set_default(
 default_output_format = get_config_item_or_set_default(
     key='default_output_format',
     default_value='png',
-    validator=lambda x: x in modules.flags.output_formats
+    validator=lambda x: x in OutputFormat.list()
 )
 default_image_number = get_config_item_or_set_default(
     key='default_image_number',
diff --git a/modules/flags.py b/modules/flags.py
index 6f12bc8f..95621c2b 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -67,7 +67,7 @@ default_parameters = {
     cn_ip: (0.5, 0.6), cn_ip_face: (0.9, 0.75), cn_canny: (0.5, 1.0), cn_cpds: (0.5, 1.0)
 }  # stop, weight
 
-output_formats = ['png', 'jpg', 'webp']
+output_formats = ['png', 'jpeg', 'webp']
 
 inpaint_engine_versions = ['None', 'v1', 'v2.5', 'v2.6']
 inpaint_option_default = 'Inpaint or Outpaint (default)'
@@ -89,11 +89,19 @@ metadata_scheme = [
     (f'{MetadataScheme.A1111.value} (plain text)', MetadataScheme.A1111.value),
 ]
 
-lora_count = 5
-
 controlnet_image_count = 4
 
 
+class OutputFormat(Enum):
+    PNG = 'png'
+    JPEG = 'jpeg'
+    WEBP = 'webp'
+
+    @classmethod
+    def list(cls) -> list:
+        return list(map(lambda c: c.value, cls))
+
+
 class Steps(IntEnum):
     QUALITY = 60
     SPEED = 30
@@ -120,6 +128,3 @@ class Performance(Enum):
 
     def steps_uov(self) -> int | None:
         return StepsUOV[self.name].value if Steps[self.name] else None
-
-
-performance_selections = Performance.list()
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index da8c70b2..546c093f 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -117,8 +117,8 @@ def get_resolution(key: str, fallback: str | None, source_dict: dict, results: l
             results.append(-1)
         else:
             results.append(gr.update())
-            results.append(width)
-            results.append(height)
+            results.append(int(width))
+            results.append(int(height))
     except:
         results.append(gr.update())
         results.append(gr.update())
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 01e570a7..916d7bf0 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -6,8 +6,9 @@ import urllib.parse
 
 from PIL import Image
 from PIL.PngImagePlugin import PngInfo
-from modules.util import generate_temp_filename
+from modules.flags import OutputFormat
 from modules.meta_parser import MetadataParser, get_exif
+from modules.util import generate_temp_filename
 
 log_cache = {}
 
@@ -29,7 +30,7 @@ def log(img, metadata, metadata_parser: MetadataParser | None = None, output_for
     parsed_parameters = metadata_parser.parse_string(metadata.copy()) if metadata_parser is not None else ''
     image = Image.fromarray(img)
 
-    if output_format == 'png':
+    if output_format == OutputFormat.PNG.value:
         if parsed_parameters != '':
             pnginfo = PngInfo()
             pnginfo.add_text('parameters', parsed_parameters)
@@ -37,9 +38,9 @@ def log(img, metadata, metadata_parser: MetadataParser | None = None, output_for
         else:
             pnginfo = None
         image.save(local_temp_filename, pnginfo=pnginfo)
-    elif output_format == 'jpg':
+    elif output_format == OutputFormat.JPEG.value:
         image.save(local_temp_filename, quality=95, optimize=True, progressive=True, exif=get_exif(parsed_parameters, metadata_parser.get_scheme().value) if metadata_parser else Image.Exif())
-    elif output_format == 'webp':
+    elif output_format == OutputFormat.WEBP.value:
         image.save(local_temp_filename, quality=95, lossless=False, exif=get_exif(parsed_parameters, metadata_parser.get_scheme().value) if metadata_parser else Image.Exif())
     else:
         image.save(local_temp_filename)
diff --git a/webui.py b/webui.py
index 42dd890f..5dab79d0 100644
--- a/webui.py
+++ b/webui.py
@@ -254,7 +254,7 @@ with shared.gradio_root:
         with gr.Column(scale=1, visible=modules.config.default_advanced_checkbox) as advanced_column:
             with gr.Tab(label='Setting'):
                 performance_selection = gr.Radio(label='Performance',
-                                                 choices=modules.flags.performance_selections,
+                                                 choices=flags.Performance.list(),
                                                  value=modules.config.default_performance)
                 aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=modules.config.available_aspect_ratios,
                                                    value=modules.config.default_aspect_ratio, info='width × height',
@@ -262,7 +262,7 @@ with shared.gradio_root:
                 image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)
 
                 output_format = gr.Radio(label='Output Format',
-                                            choices=modules.flags.output_formats,
+                                            choices=flags.OutputFormat.list(),
                                             value=modules.config.default_output_format)
 
                 negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
@@ -427,8 +427,8 @@ with shared.gradio_root:
                         disable_preview = gr.Checkbox(label='Disable Preview', value=False,
                                                       info='Disable preview during generation.')
                         disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results', 
-                                                      value=modules.config.default_performance == 'Extreme Speed',
-                                                      interactive=modules.config.default_performance != 'Extreme Speed',
+                                                      value=modules.config.default_performance == flags.Performance.EXTREME_SPEED.value,
+                                                      interactive=modules.config.default_performance != flags.Performance.EXTREME_SPEED.value,
                                                       info='Disable intermediate results during generation, only show final gallery.')
                         disable_seed_increment = gr.Checkbox(label='Disable seed increment',
                                                              info='Disable automatic seed increment when image number is > 1.',
@@ -526,9 +526,9 @@ with shared.gradio_root:
                 model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,
                                     queue=False, show_progress=False)
 
-        performance_selection.change(lambda x: [gr.update(interactive=x != 'Extreme Speed')] * 11 +
-                                               [gr.update(visible=x != 'Extreme Speed')] * 1 +
-                                               [gr.update(interactive=x != 'Extreme Speed', value=x == 'Extreme Speed', )] * 1,
+        performance_selection.change(lambda x: [gr.update(interactive=x != flags.Performance.EXTREME_SPEED.value)] * 11 +
+                                               [gr.update(visible=x != flags.Performance.EXTREME_SPEED.value)] * 1 +
+                                               [gr.update(interactive=x != flags.Performance.EXTREME_SPEED.value, value=x == flags.Performance.EXTREME_SPEED.value, )] * 1,
                                      inputs=performance_selection,
                                      outputs=[
                                          guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive,

From 25650b4bc4a9e6103c1d384d31c61aae13391de5 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 10 Mar 2024 14:34:48 +0100
Subject: [PATCH 084/180] feat: add performance lightning with 4 step LoRA
 (#2415)

* feat: add performance sdxl lightning

based on https://huggingface.co/ByteDance/SDXL-Lightning/blob/main/sdxl_lightning_4step_lora.safetensors

* feat: add method for centralized restriction of features for specific performance modes

* feat: add lightning preset
---
 modules/async_worker.py | 19 +++++++++++++++
 modules/config.py       |  9 +++++++
 modules/flags.py        |  9 +++++++
 presets/lightning.json  | 52 +++++++++++++++++++++++++++++++++++++++++
 webui.py                |  6 ++---
 5 files changed, 92 insertions(+), 3 deletions(-)
 create mode 100644 presets/lightning.json

diff --git a/modules/async_worker.py b/modules/async_worker.py
index a8661f4d..17c2645c 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -250,6 +250,25 @@ def worker():
             adm_scaler_negative = 1.0
             adm_scaler_end = 0.0
 
+        elif performance_selection == Performance.LIGHTNING:
+            print('Enter Lightning mode.')
+            progressbar(async_task, 1, 'Downloading Lightning components ...')
+            loras += [(modules.config.downloading_sdxl_lightning_lora(), 1.0)]
+
+            if refiner_model_name != 'None':
+                print(f'Refiner disabled in Lightning mode.')
+
+            refiner_model_name = 'None'
+            sampler_name = 'euler'
+            scheduler_name = 'sgm_uniform'
+            sharpness = 0.0
+            guidance_scale = 1.0
+            adaptive_cfg = 1.0
+            refiner_switch = 1.0
+            adm_scaler_positive = 1.0
+            adm_scaler_negative = 1.0
+            adm_scaler_end = 0.0
+
         print(f'[Parameters] Adaptive CFG = {adaptive_cfg}')
         print(f'[Parameters] Sharpness = {sharpness}')
         print(f'[Parameters] ControlNet Softness = {controlnet_softness}')
diff --git a/modules/config.py b/modules/config.py
index ef6de2ae..0d4156c7 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -475,6 +475,7 @@ with open(config_example_path, "w", encoding="utf-8") as json_file:
 model_filenames = []
 lora_filenames = []
 sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
+sdxl_lightning_lora = 'sdxl_lightning_4step_lora.safetensors'
 
 
 def get_model_filenames(folder_paths, name_filter=None):
@@ -538,6 +539,14 @@ def downloading_sdxl_lcm_lora():
     )
     return sdxl_lcm_lora
 
+def downloading_sdxl_lightning_lora():
+    load_file_from_url(
+        url='https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_4step_lora.safetensors',
+        model_dir=paths_loras[0],
+        file_name=sdxl_lightning_lora
+    )
+    return sdxl_lightning_lora
+
 
 def downloading_controlnet_canny():
     load_file_from_url(
diff --git a/modules/flags.py b/modules/flags.py
index 95621c2b..c9d13fd8 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -106,23 +106,32 @@ class Steps(IntEnum):
     QUALITY = 60
     SPEED = 30
     EXTREME_SPEED = 8
+    LIGHTNING = 4
 
 
 class StepsUOV(IntEnum):
     QUALITY = 36
     SPEED = 18
     EXTREME_SPEED = 8
+    LIGHTNING = 4
 
 
 class Performance(Enum):
     QUALITY = 'Quality'
     SPEED = 'Speed'
     EXTREME_SPEED = 'Extreme Speed'
+    LIGHTNING = 'Lightning'
 
     @classmethod
     def list(cls) -> list:
         return list(map(lambda c: c.value, cls))
 
+    @classmethod
+    def has_restricted_features(cls, x) -> bool:
+        if isinstance(x, Performance):
+            x = x.value
+        return x in [cls.EXTREME_SPEED.value, cls.LIGHTNING.value]
+
     def steps(self) -> int | None:
         return Steps[self.name].value if Steps[self.name] else None
 
diff --git a/presets/lightning.json b/presets/lightning.json
new file mode 100644
index 00000000..64249358
--- /dev/null
+++ b/presets/lightning.json
@@ -0,0 +1,52 @@
+{
+    "default_model": "juggernautXL_v8Rundiffusion.safetensors",
+    "default_refiner": "None",
+    "default_refiner_switch": 0.5,
+    "default_loras": [
+        [
+            "None",
+            1.0
+        ],
+        [
+            "None",
+            1.0
+        ],
+        [
+            "None",
+            1.0
+        ],
+        [
+            "None",
+            1.0
+        ],
+        [
+            "None",
+            1.0
+        ]
+    ],
+    "default_cfg_scale": 4.0,
+    "default_sample_sharpness": 2.0,
+    "default_sampler": "dpmpp_2m_sde_gpu",
+    "default_scheduler": "karras",
+    "default_performance": "Lightning",
+    "default_prompt": "",
+    "default_prompt_negative": "",
+    "default_styles": [
+        "Fooocus V2",
+        "Fooocus Enhance",
+        "Fooocus Sharp"
+    ],
+    "default_aspect_ratio": "1152*896",
+    "checkpoint_downloads": {
+        "juggernautXL_v8Rundiffusion.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_v8Rundiffusion.safetensors"
+    },
+    "embeddings_downloads": {},
+    "lora_downloads": {},
+    "previous_default_models": [
+        "juggernautXL_version8Rundiffusion.safetensors",
+        "juggernautXL_version7Rundiffusion.safetensors",
+        "juggernautXL_v7Rundiffusion.safetensors",
+        "juggernautXL_version6Rundiffusion.safetensors",
+        "juggernautXL_v6Rundiffusion.safetensors"
+    ]
+}
\ No newline at end of file
diff --git a/webui.py b/webui.py
index 5dab79d0..bcd2a5fd 100644
--- a/webui.py
+++ b/webui.py
@@ -526,9 +526,9 @@ with shared.gradio_root:
                 model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,
                                     queue=False, show_progress=False)
 
-        performance_selection.change(lambda x: [gr.update(interactive=x != flags.Performance.EXTREME_SPEED.value)] * 11 +
-                                               [gr.update(visible=x != flags.Performance.EXTREME_SPEED.value)] * 1 +
-                                               [gr.update(interactive=x != flags.Performance.EXTREME_SPEED.value, value=x == flags.Performance.EXTREME_SPEED.value, )] * 1,
+        performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
+                                               [gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +
+                                               [gr.update(interactive=not flags.Performance.has_restricted_features(x), value=flags.Performance.has_restricted_features(x))] * 1,
                                      inputs=performance_selection,
                                      outputs=[
                                          guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive,

From db7d2018ca6d34757e1a6b97fab22c4c0ef3cd19 Mon Sep 17 00:00:00 2001
From: xhoxye <129571231+xhoxye@users.noreply.github.com>
Date: Sun, 10 Mar 2024 21:42:03 +0800
Subject: [PATCH 085/180] fix: change synthetic refiner switch from 0.5 to 0.8
 (#2165)

* fix problem

1. In partial redrawing, when refiner is empty, enable use_synthetic_refiner. The default switching timing of 0.5 is too early, which is now modified to SDXL default of 0.8.
2. When using custom steps, the calculation of switching timing is wrong. Now it is modified to calculate "steps x timing" after custom steps are used.

* fix: parse width and height as int when applying metadata (#2452)

fixes an issue with A1111 metadata scheme where width and height are strings after splitting resolution

* fix: do not attempt to remove non-existing image grid file (#2456)

image grid is actually not an image here but a numpy array, as the grid isn't saved by default

* feat: add troubleshooting guide to bug report template again (#2489)

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 modules/async_worker.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 17c2645c..d4fbd95d 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -366,7 +366,7 @@ def worker():
                         print(f'[Inpaint] Current inpaint model is {inpaint_patch_model_path}')
                         if refiner_model_name == 'None':
                             use_synthetic_refiner = True
-                            refiner_switch = 0.5
+                            refiner_switch = 0.8
                     else:
                         inpaint_head_model_path, inpaint_patch_model_path = None, None
                         print(f'[Inpaint] Parameterized inpaint is disabled.')

From 85e8aa8ce20dad2f87ebc4eafbc97707174ba64b Mon Sep 17 00:00:00 2001
From: Magee <koshms3@gmail.com>
Date: Sun, 10 Mar 2024 16:06:08 -0400
Subject: [PATCH 086/180] feat: add config for temp path and temp path cleanup
 on launch (#1992)

* Added options to set the Gradio cache path and  clear cache on launch.

* Renamed cache to temp

* clear temp

* feat: do not delete temp folder but only clean content

also use fallback to system temp dir
see https://github.com/gradio-app/gradio/blob/6683ab2589f9d8658e1f51acc1b7526edce988d3/gradio/utils.py#L1151

* refactor: code cleanup

* feat: unify arg --temp-path and new temp_path config value

* feat: change default temp dir from gradio to fooocus

* refactor: move temp path method definition and configs

* feat: rename get_temp_path to init_temp_path

---------

Co-authored-by: steveyourcreativepeople <steve@yourcreativepeople.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 args_manager.py           |  3 ---
 launch.py                 | 21 ++++++++++++++-------
 modules/config.py         | 36 +++++++++++++++++++++++++++++++++++-
 modules/launch_util.py    | 20 +++++++++++++++++---
 modules/private_logger.py |  2 +-
 5 files changed, 67 insertions(+), 15 deletions(-)

diff --git a/args_manager.py b/args_manager.py
index c7c1b7ab..8c3e1918 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -49,7 +49,4 @@ if args_parser.args.disable_analytics:
 if args_parser.args.disable_in_browser:
     args_parser.args.in_browser = False
 
-if args_parser.args.temp_path is None:
-    args_parser.args.temp_path = os.path.join(gettempdir(), 'Fooocus')
-
 args = args_parser.args
diff --git a/launch.py b/launch.py
index 4269f1fc..b3b06d6e 100644
--- a/launch.py
+++ b/launch.py
@@ -1,6 +1,6 @@
 import os
-import sys
 import ssl
+import sys
 
 print('[System ARGV] ' + str(sys.argv))
 
@@ -15,15 +15,13 @@ if "GRADIO_SERVER_PORT" not in os.environ:
 
 ssl._create_default_https_context = ssl._create_unverified_context
 
-
 import platform
 import fooocus_version
 
 from build_launcher import build_launcher
-from modules.launch_util import is_installed, run, python, run_pip, requirements_met
+from modules.launch_util import is_installed, run, python, run_pip, requirements_met, delete_folder_content
 from modules.model_loader import load_file_from_url
 
-
 REINSTALL_ALL = False
 TRY_INSTALL_XFORMERS = False
 
@@ -68,6 +66,7 @@ vae_approx_filenames = [
      'https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors')
 ]
 
+
 def ini_args():
     from args_manager import args
     return args
@@ -77,14 +76,23 @@ prepare_environment()
 build_launcher()
 args = ini_args()
 
-
 if args.gpu_device_id is not None:
     os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
     print("Set device to:", args.gpu_device_id)
 
-
 from modules import config
 
+os.environ['GRADIO_TEMP_DIR'] = config.temp_path
+
+if config.temp_path_cleanup_on_launch:
+    print(f'[Cleanup] Attempting to delete content of temp dir {config.temp_path}')
+    result = delete_folder_content(config.temp_path, '[Cleanup] ')
+    if result:
+        print("[Cleanup] Cleanup successful")
+    else:
+        print(f"[Cleanup] Failed to delete content of temp dir.")
+
+
 def download_models():
     for file_name, url in vae_approx_filenames:
         load_file_from_url(url=url, model_dir=config.path_vae_approx, file_name=file_name)
@@ -123,5 +131,4 @@ def download_models():
 
 download_models()
 
-
 from webui import *
diff --git a/modules/config.py b/modules/config.py
index a68bd218..543bba5e 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -3,6 +3,7 @@ import json
 import math
 import numbers
 import args_manager
+import tempfile
 import modules.flags
 import modules.sdxl_styles
 
@@ -10,6 +11,7 @@ from modules.model_loader import load_file_from_url
 from modules.util import get_files_from_folder, makedirs_with_log
 from modules.flags import Performance, MetadataScheme
 
+
 def get_config_path(key, default_value):
     env = os.getenv(key)
     if env is not None and isinstance(env, str):
@@ -18,6 +20,7 @@ def get_config_path(key, default_value):
     else:
         return os.path.abspath(default_value)
 
+
 config_path = get_config_path('config_path', "./config.txt")
 config_example_path = get_config_path('config_example_path', "config_modification_tutorial.txt")
 config_dict = {}
@@ -117,7 +120,7 @@ def get_path_output() -> str:
     global config_dict
     path_output = get_dir_or_set_default('path_outputs', '../outputs/', make_directory=True)
     if args_manager.args.output_path:
-        print(f'[CONFIG] Overriding config value path_outputs with {args_manager.args.output_path}')
+        print(f'Overriding config value path_outputs with {args_manager.args.output_path}')
         config_dict['path_outputs'] = path_output = args_manager.args.output_path
     return path_output
 
@@ -178,6 +181,7 @@ path_clip_vision = get_dir_or_set_default('path_clip_vision', '../models/clip_vi
 path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../models/prompt_expansion/fooocus_expansion')
 path_outputs = get_path_output()
 
+
 def get_config_item_or_set_default(key, default_value, validator, disable_empty_as_none=False):
     global config_dict, visited_keys
 
@@ -206,6 +210,36 @@ def get_config_item_or_set_default(key, default_value, validator, disable_empty_
         return default_value
 
 
+def init_temp_path(path: str | None, default_path: str) -> str:
+    if args_manager.args.temp_path:
+        path = args_manager.args.temp_path
+
+    if path != '' and path != default_path:
+        try:
+            if not os.path.isabs(path):
+                path = os.path.abspath(path)
+            os.makedirs(path, exist_ok=True)
+            print(f'Using temp path {path}')
+            return path
+        except Exception as e:
+            print(f'Could not create temp path {path}. Reason: {e}')
+            print(f'Using default temp path {default_path} instead.')
+
+    os.makedirs(default_path, exist_ok=True)
+    return default_path
+
+
+default_temp_path = os.path.join(tempfile.gettempdir(), 'fooocus')
+temp_path = init_temp_path(get_config_item_or_set_default(
+    key='temp_path',
+    default_value=default_temp_path,
+    validator=lambda x: isinstance(x, str),
+), default_temp_path)
+temp_path_cleanup_on_launch = get_config_item_or_set_default(
+    key='temp_path_cleanup_on_launch',
+    default_value=True,
+    validator=lambda x: isinstance(x, bool)
+)
 default_base_model_name = get_config_item_or_set_default(
     key='default_model',
     default_value='model.safetensors',
diff --git a/modules/launch_util.py b/modules/launch_util.py
index b483d515..370dc048 100644
--- a/modules/launch_util.py
+++ b/modules/launch_util.py
@@ -1,6 +1,7 @@
 import os
 import importlib
 import importlib.util
+import shutil
 import subprocess
 import sys
 import re
@@ -9,9 +10,6 @@ import importlib.metadata
 import packaging.version
 from packaging.requirements import Requirement
 
-
-
-
 logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR)  # sshh...
 logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
 
@@ -101,3 +99,19 @@ def requirements_met(requirements_file):
 
     return True
 
+
+def delete_folder_content(folder, prefix=None):
+    result = True
+
+    for filename in os.listdir(folder):
+        file_path = os.path.join(folder, filename)
+        try:
+            if os.path.isfile(file_path) or os.path.islink(file_path):
+                os.unlink(file_path)
+            elif os.path.isdir(file_path):
+                shutil.rmtree(file_path)
+        except Exception as e:
+            print(f'{prefix}Failed to delete {file_path}. Reason: {e}')
+            result = False
+
+    return result
\ No newline at end of file
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 01e570a7..73fdda54 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -21,7 +21,7 @@ def get_current_html_path(output_format=None):
 
 
 def log(img, metadata, metadata_parser: MetadataParser | None = None, output_format=None) -> str:
-    path_outputs = args_manager.args.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
+    path_outputs = modules.config.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
     output_format = output_format if output_format else modules.config.default_output_format
     date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension=output_format)
     os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True)

From 5409bfdb2610bc50804b6bedf36d152339aaadc2 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 10 Mar 2024 21:08:55 +0100
Subject: [PATCH 087/180] Revert "feat: add config for temp path and temp path
 cleanup on launch (#1992)" (#2502)

This reverts commit 85e8aa8ce20dad2f87ebc4eafbc97707174ba64b.
---
 args_manager.py           |  3 +++
 launch.py                 | 21 +++++++--------------
 modules/config.py         | 36 +-----------------------------------
 modules/launch_util.py    | 20 +++-----------------
 modules/private_logger.py |  2 +-
 5 files changed, 15 insertions(+), 67 deletions(-)

diff --git a/args_manager.py b/args_manager.py
index 8c3e1918..c7c1b7ab 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -49,4 +49,7 @@ if args_parser.args.disable_analytics:
 if args_parser.args.disable_in_browser:
     args_parser.args.in_browser = False
 
+if args_parser.args.temp_path is None:
+    args_parser.args.temp_path = os.path.join(gettempdir(), 'Fooocus')
+
 args = args_parser.args
diff --git a/launch.py b/launch.py
index b3b06d6e..4269f1fc 100644
--- a/launch.py
+++ b/launch.py
@@ -1,6 +1,6 @@
 import os
-import ssl
 import sys
+import ssl
 
 print('[System ARGV] ' + str(sys.argv))
 
@@ -15,13 +15,15 @@ if "GRADIO_SERVER_PORT" not in os.environ:
 
 ssl._create_default_https_context = ssl._create_unverified_context
 
+
 import platform
 import fooocus_version
 
 from build_launcher import build_launcher
-from modules.launch_util import is_installed, run, python, run_pip, requirements_met, delete_folder_content
+from modules.launch_util import is_installed, run, python, run_pip, requirements_met
 from modules.model_loader import load_file_from_url
 
+
 REINSTALL_ALL = False
 TRY_INSTALL_XFORMERS = False
 
@@ -66,7 +68,6 @@ vae_approx_filenames = [
      'https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors')
 ]
 
-
 def ini_args():
     from args_manager import args
     return args
@@ -76,23 +77,14 @@ prepare_environment()
 build_launcher()
 args = ini_args()
 
+
 if args.gpu_device_id is not None:
     os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
     print("Set device to:", args.gpu_device_id)
 
+
 from modules import config
 
-os.environ['GRADIO_TEMP_DIR'] = config.temp_path
-
-if config.temp_path_cleanup_on_launch:
-    print(f'[Cleanup] Attempting to delete content of temp dir {config.temp_path}')
-    result = delete_folder_content(config.temp_path, '[Cleanup] ')
-    if result:
-        print("[Cleanup] Cleanup successful")
-    else:
-        print(f"[Cleanup] Failed to delete content of temp dir.")
-
-
 def download_models():
     for file_name, url in vae_approx_filenames:
         load_file_from_url(url=url, model_dir=config.path_vae_approx, file_name=file_name)
@@ -131,4 +123,5 @@ def download_models():
 
 download_models()
 
+
 from webui import *
diff --git a/modules/config.py b/modules/config.py
index 543bba5e..a68bd218 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -3,7 +3,6 @@ import json
 import math
 import numbers
 import args_manager
-import tempfile
 import modules.flags
 import modules.sdxl_styles
 
@@ -11,7 +10,6 @@ from modules.model_loader import load_file_from_url
 from modules.util import get_files_from_folder, makedirs_with_log
 from modules.flags import Performance, MetadataScheme
 
-
 def get_config_path(key, default_value):
     env = os.getenv(key)
     if env is not None and isinstance(env, str):
@@ -20,7 +18,6 @@ def get_config_path(key, default_value):
     else:
         return os.path.abspath(default_value)
 
-
 config_path = get_config_path('config_path', "./config.txt")
 config_example_path = get_config_path('config_example_path', "config_modification_tutorial.txt")
 config_dict = {}
@@ -120,7 +117,7 @@ def get_path_output() -> str:
     global config_dict
     path_output = get_dir_or_set_default('path_outputs', '../outputs/', make_directory=True)
     if args_manager.args.output_path:
-        print(f'Overriding config value path_outputs with {args_manager.args.output_path}')
+        print(f'[CONFIG] Overriding config value path_outputs with {args_manager.args.output_path}')
         config_dict['path_outputs'] = path_output = args_manager.args.output_path
     return path_output
 
@@ -181,7 +178,6 @@ path_clip_vision = get_dir_or_set_default('path_clip_vision', '../models/clip_vi
 path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../models/prompt_expansion/fooocus_expansion')
 path_outputs = get_path_output()
 
-
 def get_config_item_or_set_default(key, default_value, validator, disable_empty_as_none=False):
     global config_dict, visited_keys
 
@@ -210,36 +206,6 @@ def get_config_item_or_set_default(key, default_value, validator, disable_empty_
         return default_value
 
 
-def init_temp_path(path: str | None, default_path: str) -> str:
-    if args_manager.args.temp_path:
-        path = args_manager.args.temp_path
-
-    if path != '' and path != default_path:
-        try:
-            if not os.path.isabs(path):
-                path = os.path.abspath(path)
-            os.makedirs(path, exist_ok=True)
-            print(f'Using temp path {path}')
-            return path
-        except Exception as e:
-            print(f'Could not create temp path {path}. Reason: {e}')
-            print(f'Using default temp path {default_path} instead.')
-
-    os.makedirs(default_path, exist_ok=True)
-    return default_path
-
-
-default_temp_path = os.path.join(tempfile.gettempdir(), 'fooocus')
-temp_path = init_temp_path(get_config_item_or_set_default(
-    key='temp_path',
-    default_value=default_temp_path,
-    validator=lambda x: isinstance(x, str),
-), default_temp_path)
-temp_path_cleanup_on_launch = get_config_item_or_set_default(
-    key='temp_path_cleanup_on_launch',
-    default_value=True,
-    validator=lambda x: isinstance(x, bool)
-)
 default_base_model_name = get_config_item_or_set_default(
     key='default_model',
     default_value='model.safetensors',
diff --git a/modules/launch_util.py b/modules/launch_util.py
index 370dc048..b483d515 100644
--- a/modules/launch_util.py
+++ b/modules/launch_util.py
@@ -1,7 +1,6 @@
 import os
 import importlib
 import importlib.util
-import shutil
 import subprocess
 import sys
 import re
@@ -10,6 +9,9 @@ import importlib.metadata
 import packaging.version
 from packaging.requirements import Requirement
 
+
+
+
 logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR)  # sshh...
 logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
 
@@ -99,19 +101,3 @@ def requirements_met(requirements_file):
 
     return True
 
-
-def delete_folder_content(folder, prefix=None):
-    result = True
-
-    for filename in os.listdir(folder):
-        file_path = os.path.join(folder, filename)
-        try:
-            if os.path.isfile(file_path) or os.path.islink(file_path):
-                os.unlink(file_path)
-            elif os.path.isdir(file_path):
-                shutil.rmtree(file_path)
-        except Exception as e:
-            print(f'{prefix}Failed to delete {file_path}. Reason: {e}')
-            result = False
-
-    return result
\ No newline at end of file
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 73fdda54..01e570a7 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -21,7 +21,7 @@ def get_current_html_path(output_format=None):
 
 
 def log(img, metadata, metadata_parser: MetadataParser | None = None, output_format=None) -> str:
-    path_outputs = modules.config.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
+    path_outputs = args_manager.args.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
     output_format = output_format if output_format else modules.config.default_output_format
     date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension=output_format)
     os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True)

From 400471f7afa68d6ee90b4cfc4f181e5bc9cf0a6a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Sun, 10 Mar 2024 21:09:49 +0100
Subject: [PATCH 088/180] feat: add config for temp path and temp path cleanup
 on launch (#1992)

* Added options to set the Gradio cache path and clear cache on launch.

* Renamed cache to temp

* clear temp

* feat: do not delete temp folder but only clean content

also use fallback to system temp dir
see https://github.com/gradio-app/gradio/blob/6683ab2589f9d8658e1f51acc1b7526edce988d3/gradio/utils.py#L1151

* refactor: code cleanup

* feat: unify arg --temp-path and new temp_path config value

* feat: change default temp dir from gradio to fooocus

* refactor: move temp path method definition and configs

* feat: rename get_temp_path to init_temp_path

---------

Co-authored-by: Magee <koshms3@gmail.com>
Co-authored-by: steveyourcreativepeople <steve@yourcreativepeople.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 args_manager.py           |  3 ---
 launch.py                 | 21 ++++++++++++++-------
 modules/config.py         | 36 +++++++++++++++++++++++++++++++++++-
 modules/launch_util.py    | 20 +++++++++++++++++---
 modules/private_logger.py |  2 +-
 5 files changed, 67 insertions(+), 15 deletions(-)

diff --git a/args_manager.py b/args_manager.py
index c7c1b7ab..8c3e1918 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -49,7 +49,4 @@ if args_parser.args.disable_analytics:
 if args_parser.args.disable_in_browser:
     args_parser.args.in_browser = False
 
-if args_parser.args.temp_path is None:
-    args_parser.args.temp_path = os.path.join(gettempdir(), 'Fooocus')
-
 args = args_parser.args
diff --git a/launch.py b/launch.py
index 4269f1fc..b3b06d6e 100644
--- a/launch.py
+++ b/launch.py
@@ -1,6 +1,6 @@
 import os
-import sys
 import ssl
+import sys
 
 print('[System ARGV] ' + str(sys.argv))
 
@@ -15,15 +15,13 @@ if "GRADIO_SERVER_PORT" not in os.environ:
 
 ssl._create_default_https_context = ssl._create_unverified_context
 
-
 import platform
 import fooocus_version
 
 from build_launcher import build_launcher
-from modules.launch_util import is_installed, run, python, run_pip, requirements_met
+from modules.launch_util import is_installed, run, python, run_pip, requirements_met, delete_folder_content
 from modules.model_loader import load_file_from_url
 
-
 REINSTALL_ALL = False
 TRY_INSTALL_XFORMERS = False
 
@@ -68,6 +66,7 @@ vae_approx_filenames = [
      'https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors')
 ]
 
+
 def ini_args():
     from args_manager import args
     return args
@@ -77,14 +76,23 @@ prepare_environment()
 build_launcher()
 args = ini_args()
 
-
 if args.gpu_device_id is not None:
     os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
     print("Set device to:", args.gpu_device_id)
 
-
 from modules import config
 
+os.environ['GRADIO_TEMP_DIR'] = config.temp_path
+
+if config.temp_path_cleanup_on_launch:
+    print(f'[Cleanup] Attempting to delete content of temp dir {config.temp_path}')
+    result = delete_folder_content(config.temp_path, '[Cleanup] ')
+    if result:
+        print("[Cleanup] Cleanup successful")
+    else:
+        print(f"[Cleanup] Failed to delete content of temp dir.")
+
+
 def download_models():
     for file_name, url in vae_approx_filenames:
         load_file_from_url(url=url, model_dir=config.path_vae_approx, file_name=file_name)
@@ -123,5 +131,4 @@ def download_models():
 
 download_models()
 
-
 from webui import *
diff --git a/modules/config.py b/modules/config.py
index 0d4156c7..66904096 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -3,6 +3,7 @@ import json
 import math
 import numbers
 import args_manager
+import tempfile
 import modules.flags
 import modules.sdxl_styles
 
@@ -10,6 +11,7 @@ from modules.model_loader import load_file_from_url
 from modules.util import get_files_from_folder, makedirs_with_log
 from modules.flags import OutputFormat, Performance, MetadataScheme
 
+
 def get_config_path(key, default_value):
     env = os.getenv(key)
     if env is not None and isinstance(env, str):
@@ -18,6 +20,7 @@ def get_config_path(key, default_value):
     else:
         return os.path.abspath(default_value)
 
+
 config_path = get_config_path('config_path', "./config.txt")
 config_example_path = get_config_path('config_example_path', "config_modification_tutorial.txt")
 config_dict = {}
@@ -117,7 +120,7 @@ def get_path_output() -> str:
     global config_dict
     path_output = get_dir_or_set_default('path_outputs', '../outputs/', make_directory=True)
     if args_manager.args.output_path:
-        print(f'[CONFIG] Overriding config value path_outputs with {args_manager.args.output_path}')
+        print(f'Overriding config value path_outputs with {args_manager.args.output_path}')
         config_dict['path_outputs'] = path_output = args_manager.args.output_path
     return path_output
 
@@ -178,6 +181,7 @@ path_clip_vision = get_dir_or_set_default('path_clip_vision', '../models/clip_vi
 path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../models/prompt_expansion/fooocus_expansion')
 path_outputs = get_path_output()
 
+
 def get_config_item_or_set_default(key, default_value, validator, disable_empty_as_none=False):
     global config_dict, visited_keys
 
@@ -206,6 +210,36 @@ def get_config_item_or_set_default(key, default_value, validator, disable_empty_
         return default_value
 
 
+def init_temp_path(path: str | None, default_path: str) -> str:
+    if args_manager.args.temp_path:
+        path = args_manager.args.temp_path
+
+    if path != '' and path != default_path:
+        try:
+            if not os.path.isabs(path):
+                path = os.path.abspath(path)
+            os.makedirs(path, exist_ok=True)
+            print(f'Using temp path {path}')
+            return path
+        except Exception as e:
+            print(f'Could not create temp path {path}. Reason: {e}')
+            print(f'Using default temp path {default_path} instead.')
+
+    os.makedirs(default_path, exist_ok=True)
+    return default_path
+
+
+default_temp_path = os.path.join(tempfile.gettempdir(), 'fooocus')
+temp_path = init_temp_path(get_config_item_or_set_default(
+    key='temp_path',
+    default_value=default_temp_path,
+    validator=lambda x: isinstance(x, str),
+), default_temp_path)
+temp_path_cleanup_on_launch = get_config_item_or_set_default(
+    key='temp_path_cleanup_on_launch',
+    default_value=True,
+    validator=lambda x: isinstance(x, bool)
+)
 default_base_model_name = get_config_item_or_set_default(
     key='default_model',
     default_value='model.safetensors',
diff --git a/modules/launch_util.py b/modules/launch_util.py
index b483d515..370dc048 100644
--- a/modules/launch_util.py
+++ b/modules/launch_util.py
@@ -1,6 +1,7 @@
 import os
 import importlib
 import importlib.util
+import shutil
 import subprocess
 import sys
 import re
@@ -9,9 +10,6 @@ import importlib.metadata
 import packaging.version
 from packaging.requirements import Requirement
 
-
-
-
 logging.getLogger("torch.distributed.nn").setLevel(logging.ERROR)  # sshh...
 logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
 
@@ -101,3 +99,19 @@ def requirements_met(requirements_file):
 
     return True
 
+
+def delete_folder_content(folder, prefix=None):
+    result = True
+
+    for filename in os.listdir(folder):
+        file_path = os.path.join(folder, filename)
+        try:
+            if os.path.isfile(file_path) or os.path.islink(file_path):
+                os.unlink(file_path)
+            elif os.path.isdir(file_path):
+                shutil.rmtree(file_path)
+        except Exception as e:
+            print(f'{prefix}Failed to delete {file_path}. Reason: {e}')
+            result = False
+
+    return result
\ No newline at end of file
diff --git a/modules/private_logger.py b/modules/private_logger.py
index 916d7bf0..edd9457d 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -22,7 +22,7 @@ def get_current_html_path(output_format=None):
 
 
 def log(img, metadata, metadata_parser: MetadataParser | None = None, output_format=None) -> str:
-    path_outputs = args_manager.args.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
+    path_outputs = modules.config.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
     output_format = output_format if output_format else modules.config.default_output_format
     date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension=output_format)
     os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True)

From f6117180d4e02fa90e356755f86ca661af628542 Mon Sep 17 00:00:00 2001
From: Cruxial <benjamin@theones.dk>
Date: Sun, 10 Mar 2024 21:35:41 +0100
Subject: [PATCH 089/180] feat: scan wildcard subdirectories (#2466)

* Fix typo

* Scan wildcards recursively

Adds a method for getting the top-most occurrence of a given file in a directory tree

* Use already existing method for locating files

* Fix issue with incorrect files being loaded

When using the `name-filter` parameter in `get_model_filenames`, it doesn't guarantee the best match to be in the first index. This change adds a step to ensure the correct wildcard is being loaded.

* feat: make path for wildcards configurable, cache filenames on refresh files, rename button variable

* Fix formatting

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 modules/config.py      | 15 ++++++++++-----
 modules/sdxl_styles.py | 11 ++++++-----
 modules/util.py        |  4 ++--
 webui.py               |  9 ++++-----
 4 files changed, 22 insertions(+), 17 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index 66904096..83590a24 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -179,6 +179,7 @@ path_inpaint = get_dir_or_set_default('path_inpaint', '../models/inpaint/')
 path_controlnet = get_dir_or_set_default('path_controlnet', '../models/controlnet/')
 path_clip_vision = get_dir_or_set_default('path_clip_vision', '../models/clip_vision/')
 path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../models/prompt_expansion/fooocus_expansion')
+path_wildcards = get_dir_or_set_default('path_wildcards', '../wildcards/')
 path_outputs = get_path_output()
 
 
@@ -508,22 +509,26 @@ with open(config_example_path, "w", encoding="utf-8") as json_file:
 
 model_filenames = []
 lora_filenames = []
+wildcard_filenames = []
+
 sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
 sdxl_lightning_lora = 'sdxl_lightning_4step_lora.safetensors'
 
 
-def get_model_filenames(folder_paths, name_filter=None):
-    extensions = ['.pth', '.ckpt', '.bin', '.safetensors', '.fooocus.patch']
+def get_model_filenames(folder_paths, extensions=None, name_filter=None):
+    if extensions is None:
+        extensions = ['.pth', '.ckpt', '.bin', '.safetensors', '.fooocus.patch']
     files = []
     for folder in folder_paths:
         files += get_files_from_folder(folder, extensions, name_filter)
     return files
 
 
-def update_all_model_names():
-    global model_filenames, lora_filenames
+def update_files():
+    global model_filenames, lora_filenames, wildcard_filenames
     model_filenames = get_model_filenames(paths_checkpoints)
     lora_filenames = get_model_filenames(paths_loras)
+    wildcard_filenames = get_files_from_folder(path_wildcards, ['.txt'])
     return
 
 
@@ -647,4 +652,4 @@ def downloading_upscale_model():
     return os.path.join(path_upscale_models, 'fooocus_upscaler_s409985e5.bin')
 
 
-update_all_model_names()
+update_files()
diff --git a/modules/sdxl_styles.py b/modules/sdxl_styles.py
index 2a310024..0b07339c 100644
--- a/modules/sdxl_styles.py
+++ b/modules/sdxl_styles.py
@@ -2,13 +2,12 @@ import os
 import re
 import json
 import math
+import modules.config
 
 from modules.util import get_files_from_folder
 
-
 # cannot use modules.config - validators causing circular imports
 styles_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../sdxl_styles/'))
-wildcards_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../wildcards/'))
 wildcards_max_bfs_depth = 64
 
 
@@ -60,7 +59,7 @@ def apply_style(style, positive):
     return p.replace('{prompt}', positive).splitlines(), n.splitlines()
 
 
-def apply_wildcards(wildcard_text, rng, directory=wildcards_path):
+def apply_wildcards(wildcard_text, rng):
     for _ in range(wildcards_max_bfs_depth):
         placeholders = re.findall(r'__([\w-]+)__', wildcard_text)
         if len(placeholders) == 0:
@@ -69,7 +68,8 @@ def apply_wildcards(wildcard_text, rng, directory=wildcards_path):
         print(f'[Wildcards] processing: {wildcard_text}')
         for placeholder in placeholders:
             try:
-                words = open(os.path.join(directory, f'{placeholder}.txt'), encoding='utf-8').read().splitlines()
+                matches = [x for x in modules.config.wildcard_filenames if os.path.splitext(os.path.basename(x))[0] == placeholder]
+                words = open(os.path.join(modules.config.path_wildcards, matches[0]), encoding='utf-8').read().splitlines()
                 words = [x for x in words if x != '']
                 assert len(words) > 0
                 wildcard_text = wildcard_text.replace(f'__{placeholder}__', rng.choice(words), 1)
@@ -82,8 +82,9 @@ def apply_wildcards(wildcard_text, rng, directory=wildcards_path):
     print(f'[Wildcards] BFS stack overflow. Current text: {wildcard_text}')
     return wildcard_text
 
+
 def get_words(arrays, totalMult, index):
-    if(len(arrays) == 1):
+    if len(arrays) == 1:
         return [arrays[0].split(',')[index]]
     else:
         words = arrays[0].split(',')
diff --git a/modules/util.py b/modules/util.py
index c7923ec8..9c432eb6 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -163,7 +163,7 @@ def generate_temp_filename(folder='./outputs/', extension='png'):
     return date_string, os.path.abspath(result), filename
 
 
-def get_files_from_folder(folder_path, exensions=None, name_filter=None):
+def get_files_from_folder(folder_path, extensions=None, name_filter=None):
     if not os.path.isdir(folder_path):
         raise ValueError("Folder path is not a valid directory.")
 
@@ -175,7 +175,7 @@ def get_files_from_folder(folder_path, exensions=None, name_filter=None):
             relative_path = ""
         for filename in sorted(files, key=lambda s: s.casefold()):
             _, file_extension = os.path.splitext(filename)
-            if (exensions is None or file_extension.lower() in exensions) and (name_filter is None or name_filter in _):
+            if (extensions is None or file_extension.lower() in extensions) and (name_filter is None or name_filter in _):
                 path = os.path.join(relative_path, filename)
                 filenames.append(path)
 
diff --git a/webui.py b/webui.py
index c0f1ec91..808db72d 100644
--- a/webui.py
+++ b/webui.py
@@ -366,7 +366,7 @@ with shared.gradio_root:
                             lora_ctrls += [lora_enabled, lora_model, lora_weight]
 
                 with gr.Row():
-                    model_refresh = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
+                    refresh_files = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
             with gr.Tab(label='Advanced'):
                 guidance_scale = gr.Slider(label='Guidance Scale', minimum=1.0, maximum=30.0, step=0.01,
                                            value=modules.config.default_cfg_scale,
@@ -512,19 +512,18 @@ with shared.gradio_root:
                 def dev_mode_checked(r):
                     return gr.update(visible=r)
 
-
                 dev_mode.change(dev_mode_checked, inputs=[dev_mode], outputs=[dev_tools],
                                 queue=False, show_progress=False)
 
-                def model_refresh_clicked():
-                    modules.config.update_all_model_names()
+                def refresh_files_clicked():
+                    modules.config.update_files()
                     results = [gr.update(choices=modules.config.model_filenames)]
                     results += [gr.update(choices=['None'] + modules.config.model_filenames)]
                     for i in range(modules.config.default_max_lora_number):
                         results += [gr.update(interactive=True), gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
                     return results
 
-                model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,
+                refresh_files.click(refresh_files_clicked, [], [base_model, refiner_model] + lora_ctrls,
                                     queue=False, show_progress=False)
 
         performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +

From bc9c58608291592504613129e74eabdd57339847 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 10 Mar 2024 23:13:09 +0100
Subject: [PATCH 090/180] fix: use correct method call for
 interrupt_current_processing (#2506)

actually achieves the same result, stopping the task
---
 modules/async_worker.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index a8661f4d..83fc3912 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -787,7 +787,7 @@ def worker():
 
             try:
                 if async_task.last_stop is not False:
-                    ldm_patched.model_management.interrupt_current_processing()
+                    ldm_patched.modules.model_management.interrupt_current_processing()
                 positive_cond, negative_cond = task['c'], task['uc']
 
                 if 'cn' in goals:

From ead24c9361337a1ab52720c85b3daab431b00f24 Mon Sep 17 00:00:00 2001
From: xhoxye <129571231+xhoxye@users.noreply.github.com>
Date: Mon, 11 Mar 2024 06:18:36 +0800
Subject: [PATCH 091/180] =?UTF-8?q?feat:=20read=20wildcards=20in=20order?=
 =?UTF-8?q?=20=E9=80=9A=E9=85=8D=E7=AC=A6=E5=A2=9E=E5=BC=BA=EF=BC=8C?=
 =?UTF-8?q?=E5=88=87=E6=8D=A2=E9=A1=BA=E5=BA=8F=E8=AF=BB=E5=8F=96=E3=80=82?=
 =?UTF-8?q?(#1761)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* 通配符增强，切换顺序读取

通配符增强，通过勾选切换通配符读取方法，默认不勾选为随机读取一行，勾选后为按顺序读取，并使用相同的种子。

* 代码来自刁璐璐

* update

* Update async_worker.py

* refactor: rename read_wildcard_in_order_checkbox to read_wildcard_in_order

* fix: use correct method call for interrupt_current_processing

actually achieves the same result, stopping the task

* refactor: move checkbox to developer debug mode, rename to plural

below disable seed increment

* refactor: code cleanup, separate code for disable_seed_increment

* i18n: add translation for checkbox text

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 language/en.json        |  1 +
 modules/async_worker.py | 12 +++++++-----
 modules/sdxl_styles.py  |  7 +++++--
 webui.py                |  4 +++-
 4 files changed, 16 insertions(+), 8 deletions(-)

diff --git a/language/en.json b/language/en.json
index f61255c9..241c5d54 100644
--- a/language/en.json
+++ b/language/en.json
@@ -50,6 +50,7 @@
     "Seed": "Seed",
     "Disable seed increment": "Disable seed increment",
     "Disable automatic seed increment when image number is > 1.": "Disable automatic seed increment when image number is > 1.",
+    "Read wildcards in order": "Read wildcards in order",
     "\ud83d\udcda History Log": "\uD83D\uDCDA History Log",
     "Image Style": "Image Style",
     "Fooocus V2": "Fooocus V2",
diff --git a/modules/async_worker.py b/modules/async_worker.py
index c7df14f5..c5953a58 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -1,4 +1,5 @@
 import threading
+import re
 from modules.patch import PatchSettings, patch_settings, patch_all
 
 patch_all()
@@ -148,6 +149,7 @@ def worker():
         image_number = args.pop()
         output_format = args.pop()
         image_seed = args.pop()
+        read_wildcards_in_order = args.pop()
         sharpness = args.pop()
         guidance_scale = args.pop()
         base_model_name = args.pop()
@@ -441,16 +443,16 @@ def worker():
             
             for i in range(image_number):
                 if disable_seed_increment:
-                    task_seed = seed
+                    task_seed = seed % (constants.MAX_SEED + 1)
                 else:
                     task_seed = (seed + i) % (constants.MAX_SEED + 1)  # randint is inclusive, % is not
 
                 task_rng = random.Random(task_seed)  # may bind to inpaint noise in the future
-                task_prompt = apply_wildcards(prompt, task_rng)
+                task_prompt = apply_wildcards(prompt, task_rng, i, read_wildcards_in_order)
                 task_prompt = apply_arrays(task_prompt, i)
-                task_negative_prompt = apply_wildcards(negative_prompt, task_rng)
-                task_extra_positive_prompts = [apply_wildcards(pmt, task_rng) for pmt in extra_positive_prompts]
-                task_extra_negative_prompts = [apply_wildcards(pmt, task_rng) for pmt in extra_negative_prompts]
+                task_negative_prompt = apply_wildcards(negative_prompt, task_rng, i, read_wildcards_in_order)
+                task_extra_positive_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in extra_positive_prompts]
+                task_extra_negative_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in extra_negative_prompts]
 
                 positive_basic_workloads = []
                 negative_basic_workloads = []
diff --git a/modules/sdxl_styles.py b/modules/sdxl_styles.py
index 0b07339c..77ad6b57 100644
--- a/modules/sdxl_styles.py
+++ b/modules/sdxl_styles.py
@@ -59,7 +59,7 @@ def apply_style(style, positive):
     return p.replace('{prompt}', positive).splitlines(), n.splitlines()
 
 
-def apply_wildcards(wildcard_text, rng):
+def apply_wildcards(wildcard_text, rng, i, read_wildcards_in_order):
     for _ in range(wildcards_max_bfs_depth):
         placeholders = re.findall(r'__([\w-]+)__', wildcard_text)
         if len(placeholders) == 0:
@@ -72,7 +72,10 @@ def apply_wildcards(wildcard_text, rng):
                 words = open(os.path.join(modules.config.path_wildcards, matches[0]), encoding='utf-8').read().splitlines()
                 words = [x for x in words if x != '']
                 assert len(words) > 0
-                wildcard_text = wildcard_text.replace(f'__{placeholder}__', rng.choice(words), 1)
+                if read_wildcards_in_order:
+                    wildcard_text = wildcard_text.replace(f'__{placeholder}__', words[i % len(words)], 1)
+                else:
+                    wildcard_text = wildcard_text.replace(f'__{placeholder}__', rng.choice(words), 1)
             except:
                 print(f'[Wildcards] Warning: {placeholder}.txt missing or empty. '
                       f'Using "{placeholder}" as a normal word.')
diff --git a/webui.py b/webui.py
index 808db72d..ee7edc2d 100644
--- a/webui.py
+++ b/webui.py
@@ -434,6 +434,7 @@ with shared.gradio_root:
                         disable_seed_increment = gr.Checkbox(label='Disable seed increment',
                                                              info='Disable automatic seed increment when image number is > 1.',
                                                              value=False)
+                        read_wildcards_in_order = gr.Checkbox(label="Read wildcards in order", value=False)
 
                         if not args_manager.args.disable_metadata:
                             save_metadata_to_images = gr.Checkbox(label='Save Metadata to Images', value=modules.config.default_save_metadata_to_images,
@@ -578,7 +579,8 @@ with shared.gradio_root:
         ctrls = [currentTask, generate_image_grid]
         ctrls += [
             prompt, negative_prompt, style_selections,
-            performance_selection, aspect_ratios_selection, image_number, output_format, image_seed, sharpness, guidance_scale
+            performance_selection, aspect_ratios_selection, image_number, output_format, image_seed,
+            read_wildcards_in_order, sharpness, guidance_scale
         ]
 
         ctrls += [base_model, refiner_model, refiner_switch] + lora_ctrls

From 84e3124c37e26acb39371b73e00edbb611335cd9 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 11 Mar 2024 00:47:31 +0100
Subject: [PATCH 092/180] i18n: add translation for lightning

---
 language/en.json | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/language/en.json b/language/en.json
index 241c5d54..3e42fff0 100644
--- a/language/en.json
+++ b/language/en.json
@@ -41,6 +41,8 @@
     "Performance": "Performance",
     "Speed": "Speed",
     "Quality": "Quality",
+    "Extreme Speed": "Extreme Speed",
+    "Lightning": "Lightning",
     "Aspect Ratios": "Aspect Ratios",
     "width \u00d7 height": "width \u00d7 height",
     "Image Number": "Image Number",
@@ -368,7 +370,6 @@
     "B2": "B2",
     "S1": "S1",
     "S2": "S2",
-    "Extreme Speed": "Extreme Speed",
     "\uD83D\uDD0E Type here to search styles ...": "\uD83D\uDD0E Type here to search styles ...",
     "Type prompt here.": "Type prompt here.",
     "Outpaint Expansion Direction:": "Outpaint Expansion Direction:",

From 2831dc70a7fb772f077776d7e92208af2ff62c7b Mon Sep 17 00:00:00 2001
From: hswlab <hswlab@googlemail.com>
Date: Mon, 11 Mar 2024 16:35:03 +0100
Subject: [PATCH 093/180] feat: use scrollable 2 column layout for styles
 (#1883)

* Styles Grouping/Sorting #1770

* Update css/style.css

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* Update javascript/script.js

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* feat: use standard padding again

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 css/style.css        | 45 ++++++++++++++++++++++++++++++++++++++++++++
 javascript/script.js | 16 +++++++++++-----
 webui.py             |  2 +-
 3 files changed, 57 insertions(+), 6 deletions(-)

diff --git a/css/style.css b/css/style.css
index 010c8e7f..3cc1e5e5 100644
--- a/css/style.css
+++ b/css/style.css
@@ -218,3 +218,48 @@
 #stylePreviewOverlay.lower-half {
     transform: translate(-140px, -140px);
 }
+
+/* scrollable box for style selections */
+.contain .tabs {
+  height: 100%;
+}
+
+.contain .tabs .tabitem.style_selections_tab {
+  height: 100%;
+}
+
+.contain .tabs .tabitem.style_selections_tab > div:first-child {
+  height: 100%;
+}
+
+.contain .tabs .tabitem.style_selections_tab .style_selections {
+  min-height: 200px;
+  height: 100%;
+}
+
+.contain .tabs .tabitem.style_selections_tab .style_selections .wrap[data-testid="checkbox-group"] {
+  position: absolute; /* remove this to disable scrolling within the checkbox-group */
+  overflow: auto;
+  padding-right: 2px;
+  max-height: 100%;
+}
+
+.contain .tabs .tabitem.style_selections_tab .style_selections .wrap[data-testid="checkbox-group"] label {
+  /* max-width: calc(35% - 15px) !important; */ /* add this to enable 3 columns layout */
+  flex: calc(50% - 5px) !important;
+}
+
+.contain .tabs .tabitem.style_selections_tab .style_selections .wrap[data-testid="checkbox-group"] label span {
+  /* white-space:nowrap; */ /* add this to disable text wrapping (better choice for 3 columns layout) */
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+/* styles preview tooltip */
+.preview-tooltip {
+  background-color: #fff8;
+  font-family: monospace;
+  text-align: center;
+  border-radius-top: 5px;
+  display: none; /* remove this to enable tooltip in preview image */
+}
\ No newline at end of file
diff --git a/javascript/script.js b/javascript/script.js
index 8f4cac58..9aa0b5c1 100644
--- a/javascript/script.js
+++ b/javascript/script.js
@@ -150,9 +150,12 @@ function initStylePreviewOverlay() {
     let overlayVisible = false;
     const samplesPath = document.querySelector("meta[name='samples-path']").getAttribute("content")
     const overlay = document.createElement('div');
+    const tooltip = document.createElement('div');
+    tooltip.className = 'preview-tooltip';
+    overlay.appendChild(tooltip);
     overlay.id = 'stylePreviewOverlay';
     document.body.appendChild(overlay);
-    document.addEventListener('mouseover', function(e) {
+    document.addEventListener('mouseover', function (e) {
         const label = e.target.closest('.style_selections label');
         if (!label) return;
         label.removeEventListener("mouseout", onMouseLeave);
@@ -162,9 +165,12 @@ function initStylePreviewOverlay() {
         const originalText = label.querySelector("span").getAttribute("data-original-text");
         const name = originalText || label.querySelector("span").textContent;
         overlay.style.backgroundImage = `url("${samplesPath.replace(
-          "fooocus_v2",
-          name.toLowerCase().replaceAll(" ", "_")
+            "fooocus_v2",
+            name.toLowerCase().replaceAll(" ", "_")
         ).replaceAll("\\", "\\\\")}")`;
+
+        tooltip.textContent = name;
+
         function onMouseLeave() {
             overlayVisible = false;
             overlay.style.opacity = "0";
@@ -172,8 +178,8 @@ function initStylePreviewOverlay() {
             label.removeEventListener("mouseout", onMouseLeave);
         }
     });
-    document.addEventListener('mousemove', function(e) {
-        if(!overlayVisible) return;
+    document.addEventListener('mousemove', function (e) {
+        if (!overlayVisible) return;
         overlay.style.left = `${e.clientX}px`;
         overlay.style.top = `${e.clientY}px`;
         overlay.className = e.clientY > window.innerHeight / 2 ? "lower-half" : "upper-half";
diff --git a/webui.py b/webui.py
index ee7edc2d..832cc194 100644
--- a/webui.py
+++ b/webui.py
@@ -300,7 +300,7 @@ with shared.gradio_root:
                 history_link = gr.HTML()
                 shared.gradio_root.load(update_history_link, outputs=history_link, queue=False, show_progress=False)
 
-            with gr.Tab(label='Style'):
+            with gr.Tab(label='Style', elem_classes=['style_selections_tab']):
                 style_sorter.try_load_sorted_styles(
                     style_names=legal_style_names,
                     default_selected=modules.config.default_styles)

From 39669453cda5bbbbdb322246beda195d0ae46af6 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Mon, 11 Mar 2024 17:59:58 +0100
Subject: [PATCH 094/180] feat: allow to add disabled LoRAs in config on
 application start (#2507)

add LoRA checkbox enable/disable handling to all necessary occurrences
---
 modules/config.py      |  7 ++++++-
 modules/core.py        | 13 ++++++++-----
 presets/anime.json     |  5 +++++
 presets/default.json   |  5 +++++
 presets/lcm.json       |  5 +++++
 presets/realistic.json |  5 +++++
 presets/sai.json       |  5 +++++
 webui.py               |  8 ++++----
 8 files changed, 43 insertions(+), 10 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index 83590a24..8fec8e05 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -275,27 +275,32 @@ default_loras = get_config_item_or_set_default(
     key='default_loras',
     default_value=[
         [
+            True,
             "None",
             1.0
         ],
         [
+            True,
             "None",
             1.0
         ],
         [
+            True,
             "None",
             1.0
         ],
         [
+            True,
             "None",
             1.0
         ],
         [
+            True,
             "None",
             1.0
         ]
     ],
-    validator=lambda x: isinstance(x, list) and all(len(y) == 2 and isinstance(y[0], str) and isinstance(y[1], numbers.Number) for y in x)
+    validator=lambda x: isinstance(x, list) and all(len(y) == 3 and isinstance(y[0], bool) and isinstance(y[1], str) and isinstance(y[2], numbers.Number) for y in x)
 )
 default_max_lora_number = get_config_item_or_set_default(
     key='default_max_lora_number',
diff --git a/modules/core.py b/modules/core.py
index bfc44966..e8e19397 100644
--- a/modules/core.py
+++ b/modules/core.py
@@ -73,14 +73,17 @@ class StableDiffusionModel:
 
         loras_to_load = []
 
-        for name, weight in loras:
-            if name == 'None':
+        for enabled, filename, weight in loras:
+            if not enabled:
                 continue
 
-            if os.path.exists(name):
-                lora_filename = name
+            if filename == 'None':
+                continue
+
+            if os.path.exists(filename):
+                lora_filename = filename
             else:
-                lora_filename = get_file_from_folder_list(name, modules.config.paths_loras)
+                lora_filename = get_file_from_folder_list(filename, modules.config.paths_loras)
 
             if not os.path.exists(lora_filename):
                 print(f'Lora file not found: {lora_filename}')
diff --git a/presets/anime.json b/presets/anime.json
index 8bd2813b..1f2b26a9 100644
--- a/presets/anime.json
+++ b/presets/anime.json
@@ -4,22 +4,27 @@
     "default_refiner_switch": 0.5,
     "default_loras": [
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ]
diff --git a/presets/default.json b/presets/default.json
index 7930c92f..963f7a63 100644
--- a/presets/default.json
+++ b/presets/default.json
@@ -4,22 +4,27 @@
     "default_refiner_switch": 0.5,
     "default_loras": [
         [
+            false,
             "sd_xl_offset_example-lora_1.0.safetensors",
             0.1
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ]
diff --git a/presets/lcm.json b/presets/lcm.json
index 3897f881..6713fdd5 100644
--- a/presets/lcm.json
+++ b/presets/lcm.json
@@ -4,22 +4,27 @@
     "default_refiner_switch": 0.5,
     "default_loras": [
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ]
diff --git a/presets/realistic.json b/presets/realistic.json
index 7799c96a..95f8b6e0 100644
--- a/presets/realistic.json
+++ b/presets/realistic.json
@@ -4,22 +4,27 @@
     "default_refiner_switch": 0.5,
     "default_loras": [
         [
+            true,
             "SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors",
             0.25
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ]
diff --git a/presets/sai.json b/presets/sai.json
index fecf047b..918028f3 100644
--- a/presets/sai.json
+++ b/presets/sai.json
@@ -4,22 +4,27 @@
     "default_refiner_switch": 0.75,
     "default_loras": [
         [
+            true,
             "sd_xl_offset_example-lora_1.0.safetensors",
             0.5
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ]
diff --git a/webui.py b/webui.py
index 832cc194..7fe10f15 100644
--- a/webui.py
+++ b/webui.py
@@ -353,15 +353,15 @@ with shared.gradio_root:
                 with gr.Group():
                     lora_ctrls = []
 
-                    for i, (n, v) in enumerate(modules.config.default_loras):
+                    for i, (enabled, filename, weight) in enumerate(modules.config.default_loras):
                         with gr.Row():
-                            lora_enabled = gr.Checkbox(label='Enable', value=True,
+                            lora_enabled = gr.Checkbox(label='Enable', value=enabled,
                                                        elem_classes=['lora_enable', 'min_check'], scale=1)
                             lora_model = gr.Dropdown(label=f'LoRA {i + 1}',
-                                                     choices=['None'] + modules.config.lora_filenames, value=n,
+                                                     choices=['None'] + modules.config.lora_filenames, value=filename,
                                                      elem_classes='lora_model', scale=5)
                             lora_weight = gr.Slider(label='Weight', minimum=modules.config.default_loras_min_weight,
-                                                    maximum=modules.config.default_loras_max_weight, step=0.01, value=v,
+                                                    maximum=modules.config.default_loras_max_weight, step=0.01, value=weight,
                                                     elem_classes='lora_weight', scale=5)
                             lora_ctrls += [lora_enabled, lora_model, lora_weight]
 

From d57afc88a48359bc1642c2ae30a091f0426eff43 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 11 Mar 2024 18:26:04 +0100
Subject: [PATCH 095/180] feat: merge webui css into one file

---
 css/style.css   | 131 +++++++++++++++++++++++++++++++++++++++++++++++
 modules/html.py | 133 ------------------------------------------------
 webui.py        |   4 +-
 3 files changed, 132 insertions(+), 136 deletions(-)

diff --git a/css/style.css b/css/style.css
index 3cc1e5e5..c702a725 100644
--- a/css/style.css
+++ b/css/style.css
@@ -1,5 +1,136 @@
 /* based on https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/v1.6.0/style.css */
 
+.loader-container {
+  display: flex; /* Use flex to align items horizontally */
+  align-items: center; /* Center items vertically within the container */
+  white-space: nowrap; /* Prevent line breaks within the container */
+}
+
+.loader {
+  border: 8px solid #f3f3f3; /* Light grey */
+  border-top: 8px solid #3498db; /* Blue */
+  border-radius: 50%;
+  width: 30px;
+  height: 30px;
+  animation: spin 2s linear infinite;
+}
+
+@keyframes spin {
+  0% { transform: rotate(0deg); }
+  100% { transform: rotate(360deg); }
+}
+
+/* Style the progress bar */
+progress {
+  appearance: none; /* Remove default styling */
+  height: 20px; /* Set the height of the progress bar */
+  border-radius: 5px; /* Round the corners of the progress bar */
+  background-color: #f3f3f3; /* Light grey background */
+  width: 100%;
+}
+
+/* Style the progress bar container */
+.progress-container {
+  margin-left: 20px;
+  margin-right: 20px;
+  flex-grow: 1; /* Allow the progress container to take up remaining space */
+}
+
+/* Set the color of the progress bar fill */
+progress::-webkit-progress-value {
+  background-color: #3498db; /* Blue color for the fill */
+}
+
+progress::-moz-progress-bar {
+  background-color: #3498db; /* Blue color for the fill in Firefox */
+}
+
+/* Style the text on the progress bar */
+progress::after {
+  content: attr(value '%'); /* Display the progress value followed by '%' */
+  position: absolute;
+  top: 50%;
+  left: 50%;
+  transform: translate(-50%, -50%);
+  color: white; /* Set text color */
+  font-size: 14px; /* Set font size */
+}
+
+/* Style other texts */
+.loader-container > span {
+  margin-left: 5px; /* Add spacing between the progress bar and the text */
+}
+
+.progress-bar > .generating {
+  display: none !important;
+}
+
+.progress-bar{
+  height: 30px !important;
+}
+
+.type_row{
+  height: 80px !important;
+}
+
+.type_row_half{
+  height: 32px !important;
+}
+
+.scroll-hide{
+  resize: none !important;
+}
+
+.refresh_button{
+  border: none !important;
+  background: none !important;
+  font-size: none !important;
+  box-shadow: none !important;
+}
+
+.advanced_check_row{
+  width: 250px !important;
+}
+
+.min_check{
+  min-width: min(1px, 100%) !important;
+}
+
+.resizable_area {
+  resize: vertical;
+  overflow: auto !important;
+}
+
+.aspect_ratios label {
+    width: 140px !important;
+}
+
+.aspect_ratios label span {
+    white-space: nowrap !important;
+}
+
+.aspect_ratios label input {
+    margin-left: -5px !important;
+}
+
+.lora_enable label {
+  height: 100%;
+}
+
+.lora_enable label input {
+  margin: auto;
+}
+
+.lora_enable label span {
+  display: none;
+}
+
+@-moz-document url-prefix() {
+  .lora_weight input[type=number] {
+    width: 80px;
+  }
+}
+
 #context-menu{
     z-index:9999;
     position:absolute;
diff --git a/modules/html.py b/modules/html.py
index 769151a9..25771cb9 100644
--- a/modules/html.py
+++ b/modules/html.py
@@ -1,136 +1,3 @@
-css = '''
-.loader-container {
-  display: flex; /* Use flex to align items horizontally */
-  align-items: center; /* Center items vertically within the container */
-  white-space: nowrap; /* Prevent line breaks within the container */
-}
-
-.loader {
-  border: 8px solid #f3f3f3; /* Light grey */
-  border-top: 8px solid #3498db; /* Blue */
-  border-radius: 50%;
-  width: 30px;
-  height: 30px;
-  animation: spin 2s linear infinite;
-}
-
-@keyframes spin {
-  0% { transform: rotate(0deg); }
-  100% { transform: rotate(360deg); }
-}
-
-/* Style the progress bar */
-progress {
-  appearance: none; /* Remove default styling */
-  height: 20px; /* Set the height of the progress bar */
-  border-radius: 5px; /* Round the corners of the progress bar */
-  background-color: #f3f3f3; /* Light grey background */
-  width: 100%;
-}
-
-/* Style the progress bar container */
-.progress-container {
-  margin-left: 20px;
-  margin-right: 20px;
-  flex-grow: 1; /* Allow the progress container to take up remaining space */
-}
-
-/* Set the color of the progress bar fill */
-progress::-webkit-progress-value {
-  background-color: #3498db; /* Blue color for the fill */
-}
-
-progress::-moz-progress-bar {
-  background-color: #3498db; /* Blue color for the fill in Firefox */
-}
-
-/* Style the text on the progress bar */
-progress::after {
-  content: attr(value '%'); /* Display the progress value followed by '%' */
-  position: absolute;
-  top: 50%;
-  left: 50%;
-  transform: translate(-50%, -50%);
-  color: white; /* Set text color */
-  font-size: 14px; /* Set font size */
-}
-
-/* Style other texts */
-.loader-container > span {
-  margin-left: 5px; /* Add spacing between the progress bar and the text */
-}
-
-.progress-bar > .generating {
-  display: none !important;
-}
-
-.progress-bar{
-  height: 30px !important;
-}
-
-.type_row{
-  height: 80px !important;
-}
-
-.type_row_half{
-  height: 32px !important;
-}
-
-.scroll-hide{
-  resize: none !important;
-}
-
-.refresh_button{
-  border: none !important;
-  background: none !important;
-  font-size: none !important;
-  box-shadow: none !important;
-}
-
-.advanced_check_row{
-  width: 250px !important;
-}
-
-.min_check{
-  min-width: min(1px, 100%) !important;
-}
-
-.resizable_area {
-  resize: vertical;
-  overflow: auto !important;
-}
-
-.aspect_ratios label {
-    width: 140px !important;
-}
-
-.aspect_ratios label span {
-    white-space: nowrap !important;
-}
-
-.aspect_ratios label input {
-    margin-left: -5px !important;
-}
-
-.lora_enable label {
-  height: 100%;
-}
-
-.lora_enable label input {
-  margin: auto;
-}
-
-.lora_enable label span {
-  display: none;
-}
-
-@-moz-document url-prefix() {
-  .lora_weight input[type=number] {
-    width: 80px;
-  }
-}
-
-'''
 progress_html = '''
 <div class="loader-container">
   <div class="loader"></div>
diff --git a/webui.py b/webui.py
index 7fe10f15..d68ade62 100644
--- a/webui.py
+++ b/webui.py
@@ -91,9 +91,7 @@ title = f'Fooocus {fooocus_version.version}'
 if isinstance(args_manager.args.preset, str):
     title += ' ' + args_manager.args.preset
 
-shared.gradio_root = gr.Blocks(
-    title=title,
-    css=modules.html.css).queue()
+shared.gradio_root = gr.Blocks(title=title).queue()
 
 with shared.gradio_root:
     currentTask = gr.State(worker.AsyncTask(args=[]))

From 532401df766af637488e194f39fe1cec1ddd4739 Mon Sep 17 00:00:00 2001
From: Giuseppe Speranza <gsperanza204@protonmail.com>
Date: Mon, 11 Mar 2024 19:58:25 +0100
Subject: [PATCH 096/180] fix: prioritize VRAM over RAM in Colab, preventing
 out of memory issues (#1710)

* colab: balance the use of RAM

enables the use of VRAM memory so as not to saturate the system RAM

* feat: use --always-high-vram by default for Colab, adjust readme

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
---
 fooocus_colab.ipynb | 2 +-
 readme.md           | 6 ++++--
 2 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/fooocus_colab.ipynb b/fooocus_colab.ipynb
index 205dac55..7fa98879 100644
--- a/fooocus_colab.ipynb
+++ b/fooocus_colab.ipynb
@@ -12,7 +12,7 @@
     "%cd /content\n",
     "!git clone https://github.com/lllyasviel/Fooocus.git\n",
     "%cd /content/Fooocus\n",
-    "!python entry_with_update.py --share\n"
+    "!python entry_with_update.py --share --always-high-vram\n"
    ]
   }
  ],
diff --git a/readme.md b/readme.md
index 0bfee5b4..4e47ac08 100644
--- a/readme.md
+++ b/readme.md
@@ -115,16 +115,18 @@ See also the common problems and troubleshoots [here](troubleshoot.md).
 
 ### Colab
 
-(Last tested - 2023 Dec 12)
+(Last tested - 2024 Mar 11)
 
 | Colab | Info
 | --- | --- |
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/lllyasviel/Fooocus/blob/main/fooocus_colab.ipynb) | Fooocus Official
 
-In Colab, you can modify the last line to `!python entry_with_update.py --share` or `!python entry_with_update.py --preset anime --share` or `!python entry_with_update.py --preset realistic --share` for Fooocus Default/Anime/Realistic Edition.
+In Colab, you can modify the last line to `!python entry_with_update.py --share --always-high-vram` or `!python entry_with_update.py --share --always-high-vram --preset anime` or `!python entry_with_update.py --share --always-high-vram --preset realistic` for Fooocus Default/Anime/Realistic Edition.
 
 Note that this Colab will disable refiner by default because Colab free's resources are relatively limited (and some "big" features like image prompt may cause free-tier Colab to disconnect). We make sure that basic text-to-image is always working on free-tier Colab.
 
+Using `--always-high-vram` shifts resource allocation from RAM to VRAM and achieves the overall best balance between performance, flexibility and stability on the default T4 instance.
+
 Thanks to [camenduru](https://github.com/camenduru)!
 
 ### Linux (Using Anaconda)

From 57a01865b99e3334fc83da25adc48ab989d853ab Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Mon, 11 Mar 2024 23:49:45 +0100
Subject: [PATCH 097/180] refactor: only use LoRA activate on handover to async
 worker, extract method

---
 modules/async_worker.py     | 14 +++-----------
 modules/core.py             |  5 +----
 modules/default_pipeline.py |  4 ++--
 modules/util.py             |  4 ++++
 presets/lightning.json      |  5 +++++
 5 files changed, 15 insertions(+), 17 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index c5953a58..ee997852 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -46,8 +46,8 @@ def worker():
     from modules.sdxl_styles import apply_style, apply_wildcards, fooocus_expansion, apply_arrays
     from modules.private_logger import log
     from extras.expansion import safe_str
-    from modules.util import remove_empty_str, HWC3, resize_image, \
-        get_image_shape_ceil, set_image_shape_ceil, get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix
+    from modules.util import remove_empty_str, HWC3, resize_image, get_image_shape_ceil, set_image_shape_ceil, \
+        get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix, get_enabled_loras
     from modules.upscaler import perform_upscale
     from modules.flags import Performance
     from modules.meta_parser import get_metadata_parser, MetadataScheme
@@ -124,14 +124,6 @@ def worker():
         async_task.results = async_task.results + [wall]
         return
 
-    def apply_enabled_loras(loras):
-        enabled_loras = []
-        for lora_enabled, lora_model, lora_weight in loras:
-            if lora_enabled:
-                enabled_loras.append([lora_model, lora_weight])
-
-        return enabled_loras
-
     @torch.no_grad()
     @torch.inference_mode()
     def handler(async_task):
@@ -155,7 +147,7 @@ def worker():
         base_model_name = args.pop()
         refiner_model_name = args.pop()
         refiner_switch = args.pop()
-        loras = apply_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop()), ] for _ in range(modules.config.default_max_lora_number)])
+        loras = get_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop())] for _ in range(modules.config.default_max_lora_number)])
         input_image_checkbox = args.pop()
         current_tab = args.pop()
         uov_method = args.pop()
diff --git a/modules/core.py b/modules/core.py
index e8e19397..38ee8e8d 100644
--- a/modules/core.py
+++ b/modules/core.py
@@ -73,10 +73,7 @@ class StableDiffusionModel:
 
         loras_to_load = []
 
-        for enabled, filename, weight in loras:
-            if not enabled:
-                continue
-
+        for filename, weight in loras:
             if filename == 'None':
                 continue
 
diff --git a/modules/default_pipeline.py b/modules/default_pipeline.py
index f8edfae1..190601ec 100644
--- a/modules/default_pipeline.py
+++ b/modules/default_pipeline.py
@@ -11,7 +11,7 @@ from extras.expansion import FooocusExpansion
 
 from ldm_patched.modules.model_base import SDXL, SDXLRefiner
 from modules.sample_hijack import clip_separate
-from modules.util import get_file_from_folder_list
+from modules.util import get_file_from_folder_list, get_enabled_loras
 
 
 model_base = core.StableDiffusionModel()
@@ -254,7 +254,7 @@ def refresh_everything(refiner_model_name, base_model_name, loras,
 refresh_everything(
     refiner_model_name=modules.config.default_refiner_model_name,
     base_model_name=modules.config.default_base_model_name,
-    loras=modules.config.default_loras
+    loras=get_enabled_loras(modules.config.default_loras)
 )
 
 
diff --git a/modules/util.py b/modules/util.py
index 9c432eb6..7c46d946 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -360,3 +360,7 @@ def makedirs_with_log(path):
         os.makedirs(path, exist_ok=True)
     except OSError as error:
         print(f'Directory {path} could not be created, reason: {error}')
+
+
+def get_enabled_loras(loras: list) -> list:
+    return [[lora[1], lora[2]] for lora in loras if lora[0]]
diff --git a/presets/lightning.json b/presets/lightning.json
index 64249358..d1466c10 100644
--- a/presets/lightning.json
+++ b/presets/lightning.json
@@ -4,22 +4,27 @@
     "default_refiner_switch": 0.5,
     "default_loras": [
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ],
         [
+            true,
             "None",
             1.0
         ]

From 6da0441cc75d2e40df76780109a2ea4bcb58c1c1 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 12 Mar 2024 23:13:38 +0100
Subject: [PATCH 098/180] fix: update xformers to 0.0.23 (#2517)

WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.1.0+cu121)
    Python  3.10.11 (you have 3.10.9)
---
 launch.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/launch.py b/launch.py
index 4269f1fc..f545c39e 100644
--- a/launch.py
+++ b/launch.py
@@ -42,7 +42,7 @@ def prepare_environment():
 
     if TRY_INSTALL_XFORMERS:
         if REINSTALL_ALL or not is_installed("xformers"):
-            xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.20')
+            xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.23')
             if platform.system() == "Windows":
                 if platform.python_version().startswith("3.10"):
                     run_pip(f"install -U -I --no-deps {xformers_package}", "xformers", live=True)

From 4363dbc303f6c022bfeccb43c2b55f4a19fc96a5 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Wed, 13 Mar 2024 00:32:54 +0100
Subject: [PATCH 099/180] fix: revert testing change to default lora activation

---
 presets/default.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/presets/default.json b/presets/default.json
index 963f7a63..d02bb8a4 100644
--- a/presets/default.json
+++ b/presets/default.json
@@ -4,7 +4,7 @@
     "default_refiner_switch": 0.5,
     "default_loras": [
         [
-            false,
+            true,
             "sd_xl_offset_example-lora_1.0.safetensors",
             0.1
         ],

From f51e0138e64a05b1d6ebe47ee1d5716fb700f7e4 Mon Sep 17 00:00:00 2001
From: josephrocca <1167575+josephrocca@users.noreply.github.com>
Date: Wed, 13 Mar 2024 22:12:06 +0800
Subject: [PATCH 100/180] feat: update xformers to 0.0.23 in Dockerfile (#2519)

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 2aea2810..b969cd0e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -10,7 +10,7 @@ RUN apt-get update -y && \
 COPY requirements_docker.txt requirements_versions.txt /tmp/
 RUN pip install --no-cache-dir -r /tmp/requirements_docker.txt -r /tmp/requirements_versions.txt && \
 	rm -f /tmp/requirements_docker.txt /tmp/requirements_versions.txt
-RUN pip install --no-cache-dir xformers==0.0.22 --no-dependencies
+RUN pip install --no-cache-dir xformers==0.0.23 --no-dependencies
 RUN curl -fsL -o /usr/local/lib/python3.10/dist-packages/gradio/frpc_linux_amd64_v0.2 https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_linux_amd64 && \
 	chmod +x /usr/local/lib/python3.10/dist-packages/gradio/frpc_linux_amd64_v0.2
 

From 9cd0366d300e6a70258c15e6cce6ae19c0f9b36b Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Fri, 15 Mar 2024 20:38:21 +0100
Subject: [PATCH 101/180] fix: parse seed as string to display correctly in
 metadata preview (#2536)

---
 modules/async_worker.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 83fc3912..62480f3f 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -856,7 +856,7 @@ def worker():
 
                     d.append(('Sampler', 'sampler', sampler_name))
                     d.append(('Scheduler', 'scheduler', scheduler_name))
-                    d.append(('Seed', 'seed', task['task_seed']))
+                    d.append(('Seed', 'seed', str(task['task_seed'])))
 
                     if freeu_enabled:
                         d.append(('FreeU', 'freeu', str((freeu_b1, freeu_b2, freeu_s1, freeu_s2))))

From 0da614f7e1072ac5dd4528273a624c09d01323ef Mon Sep 17 00:00:00 2001
From: Zxilly <zxilly@outlook.com>
Date: Sat, 16 Mar 2024 03:51:10 +0800
Subject: [PATCH 102/180] feat: allow users to add custom preset without
 blocking automatic update (#2520)

---
 presets/.gitignore | 6 ++++++
 1 file changed, 6 insertions(+)
 create mode 100644 presets/.gitignore

diff --git a/presets/.gitignore b/presets/.gitignore
new file mode 100644
index 00000000..481930c5
--- /dev/null
+++ b/presets/.gitignore
@@ -0,0 +1,6 @@
+*.json
+!anime.json
+!default.json
+!lcm.json
+!realistic.json
+!sai.json
\ No newline at end of file

From 4a44be36fd61aeb2e20fd7f2e2f639a1acab7d20 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Fri, 15 Mar 2024 22:04:27 +0100
Subject: [PATCH 103/180] feat: add preset selection to Gradio UI (session
 based) (#1570)

* add preset selection

uses meta parsing to set presets in user session (UI elements only)

* add LoRA handling

* use default config as fallback value

* add preset refresh on "Refresh All Files" click

* add special handling for default_styles and default_aspect_ratio

* sort styles after preset change

* code cleanup

* download missing models from preset

* set default refiner to "None" in preset realistic

* use state_is_generating for preset selection change

* DRY output parameter handling

* feat: add argument --disable-preset-selection

useful for cloud provisioning to prevent model switches and keep models loaded

* feat: keep prompt when not set in preset, use more robust syntax

* fix: add default return values when preset download is disabled

https://github.com/mashb1t/Fooocus/issues/20

* feat: add translation for preset label

* refactor: unify preset loading methods in config

* refactor: code cleanup
---
 args_manager.py        |   3 ++
 language/en.json       |   1 +
 launch.py              |  28 ++++++-----
 modules/config.py      | 105 +++++++++++++++++++++++++----------------
 modules/meta_parser.py |   7 ++-
 presets/realistic.json |   2 +-
 webui.py               |  57 +++++++++++++++++-----
 7 files changed, 133 insertions(+), 70 deletions(-)

diff --git a/args_manager.py b/args_manager.py
index 8c3e1918..6a3ae9dc 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -4,7 +4,10 @@ import os
 from tempfile import gettempdir
 
 args_parser.parser.add_argument("--share", action='store_true', help="Set whether to share on Gradio.")
+
 args_parser.parser.add_argument("--preset", type=str, default=None, help="Apply specified UI preset.")
+args_parser.parser.add_argument("--disable-preset-selection", action='store_true',
+                                help="Disables preset selection in Gradio.")
 
 args_parser.parser.add_argument("--language", type=str, default='default',
                                 help="Translate UI using json files in [language] folder. "
diff --git a/language/en.json b/language/en.json
index 3e42fff0..0f97e6e9 100644
--- a/language/en.json
+++ b/language/en.json
@@ -38,6 +38,7 @@
     "* \"Inpaint or Outpaint\" is powered by the sampler \"DPMPP Fooocus Seamless 2M SDE Karras Inpaint Sampler\" (beta)": "* \"Inpaint or Outpaint\" is powered by the sampler \"DPMPP Fooocus Seamless 2M SDE Karras Inpaint Sampler\" (beta)",
     "Setting": "Setting",
     "Style": "Style",
+    "Preset": "Preset",
     "Performance": "Performance",
     "Speed": "Speed",
     "Quality": "Quality",
diff --git a/launch.py b/launch.py
index 3cee7f9c..afa66705 100644
--- a/launch.py
+++ b/launch.py
@@ -93,7 +93,7 @@ if config.temp_path_cleanup_on_launch:
         print(f"[Cleanup] Failed to delete content of temp dir.")
 
 
-def download_models():
+def download_models(default_model, previous_default_models, checkpoint_downloads, embeddings_downloads, lora_downloads):
     for file_name, url in vae_approx_filenames:
         load_file_from_url(url=url, model_dir=config.path_vae_approx, file_name=file_name)
 
@@ -105,30 +105,32 @@ def download_models():
 
     if args.disable_preset_download:
         print('Skipped model download.')
-        return
+        return default_model, checkpoint_downloads
 
     if not args.always_download_new_model:
-        if not os.path.exists(os.path.join(config.paths_checkpoints[0], config.default_base_model_name)):
-            for alternative_model_name in config.previous_default_models:
+        if not os.path.exists(os.path.join(config.paths_checkpoints[0], default_model)):
+            for alternative_model_name in previous_default_models:
                 if os.path.exists(os.path.join(config.paths_checkpoints[0], alternative_model_name)):
-                    print(f'You do not have [{config.default_base_model_name}] but you have [{alternative_model_name}].')
+                    print(f'You do not have [{default_model}] but you have [{alternative_model_name}].')
                     print(f'Fooocus will use [{alternative_model_name}] to avoid downloading new models, '
-                          f'but you are not using latest models.')
+                          f'but you are not using the latest models.')
                     print('Use --always-download-new-model to avoid fallback and always get new models.')
-                    config.checkpoint_downloads = {}
-                    config.default_base_model_name = alternative_model_name
+                    checkpoint_downloads = {}
+                    default_model = alternative_model_name
                     break
 
-    for file_name, url in config.checkpoint_downloads.items():
+    for file_name, url in checkpoint_downloads.items():
         load_file_from_url(url=url, model_dir=config.paths_checkpoints[0], file_name=file_name)
-    for file_name, url in config.embeddings_downloads.items():
+    for file_name, url in embeddings_downloads.items():
         load_file_from_url(url=url, model_dir=config.path_embeddings, file_name=file_name)
-    for file_name, url in config.lora_downloads.items():
+    for file_name, url in lora_downloads.items():
         load_file_from_url(url=url, model_dir=config.paths_loras[0], file_name=file_name)
 
-    return
+    return default_model, checkpoint_downloads
 
 
-download_models()
+config.default_base_model_name, config.checkpoint_downloads = download_models(
+    config.default_base_model_name, config.previous_default_models, config.checkpoint_downloads,
+    config.embeddings_downloads, config.lora_downloads)
 
 from webui import *
diff --git a/modules/config.py b/modules/config.py
index 8fec8e05..c82f61c2 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -97,21 +97,44 @@ def try_load_deprecated_user_path_config():
 
 try_load_deprecated_user_path_config()
 
+
+def get_presets():
+    preset_folder = 'presets'
+    presets = ['initial']
+    if not os.path.exists(preset_folder):
+        print('No presets found.')
+        return presets
+
+    return presets + [f[:f.index('.json')] for f in os.listdir(preset_folder) if f.endswith('.json')]
+
+
+def try_get_preset_content(preset):
+    if isinstance(preset, str):
+        preset_path = os.path.abspath(f'./presets/{preset}.json')
+        try:
+            if os.path.exists(preset_path):
+                with open(preset_path, "r", encoding="utf-8") as json_file:
+                    json_content = json.load(json_file)
+                    print(f'Loaded preset: {preset_path}')
+                    return json_content
+            else:
+                raise FileNotFoundError
+        except Exception as e:
+            print(f'Load preset [{preset_path}] failed')
+            print(e)
+    return {}
+
+
+try:
+    with open(os.path.abspath(f'./presets/default.json'), "r", encoding="utf-8") as json_file:
+        config_dict.update(json.load(json_file))
+except Exception as e:
+    print(f'Load default preset failed.')
+    print(e)
+
+available_presets = get_presets()
 preset = args_manager.args.preset
-
-if isinstance(preset, str):
-    preset_path = os.path.abspath(f'./presets/{preset}.json')
-    try:
-        if os.path.exists(preset_path):
-            with open(preset_path, "r", encoding="utf-8") as json_file:
-                config_dict.update(json.load(json_file))
-                print(f'Loaded preset: {preset_path}')
-        else:
-            raise FileNotFoundError
-    except Exception as e:
-        print(f'Load preset [{preset_path}] failed')
-        print(e)
-
+config_dict.update(try_get_preset_content(preset))
 
 def get_path_output() -> str:
     """
@@ -241,7 +264,7 @@ temp_path_cleanup_on_launch = get_config_item_or_set_default(
     default_value=True,
     validator=lambda x: isinstance(x, bool)
 )
-default_base_model_name = get_config_item_or_set_default(
+default_base_model_name = default_model = get_config_item_or_set_default(
     key='default_model',
     default_value='model.safetensors',
     validator=lambda x: isinstance(x, str)
@@ -251,7 +274,7 @@ previous_default_models = get_config_item_or_set_default(
     default_value=[],
     validator=lambda x: isinstance(x, list) and all(isinstance(k, str) for k in x)
 )
-default_refiner_model_name = get_config_item_or_set_default(
+default_refiner_model_name = default_refiner = get_config_item_or_set_default(
     key='default_refiner',
     default_value='None',
     validator=lambda x: isinstance(x, str)
@@ -451,29 +474,30 @@ example_inpaint_prompts = [[x] for x in example_inpaint_prompts]
 
 config_dict["default_loras"] = default_loras = default_loras[:default_max_lora_number] + [['None', 1.0] for _ in range(default_max_lora_number - len(default_loras))]
 
-possible_preset_keys = [
-    "default_model",
-    "default_refiner",
-    "default_refiner_switch",
-    "default_loras_min_weight",
-    "default_loras_max_weight",
-    "default_loras",
-    "default_max_lora_number",
-    "default_cfg_scale",
-    "default_sample_sharpness",
-    "default_sampler",
-    "default_scheduler",
-    "default_performance",
-    "default_prompt",
-    "default_prompt_negative",
-    "default_styles",
-    "default_aspect_ratio",
-    "default_save_metadata_to_images",
-    "checkpoint_downloads",
-    "embeddings_downloads",
-    "lora_downloads",
-]
-
+# mapping config to meta parameter 
+possible_preset_keys = {
+    "default_model": "base_model",
+    "default_refiner": "refiner_model",
+    "default_refiner_switch": "refiner_switch",
+    "previous_default_models": "previous_default_models",
+    "default_loras_min_weight": "default_loras_min_weight",
+    "default_loras_max_weight": "default_loras_max_weight",
+    "default_loras": "<processed>",
+    "default_cfg_scale": "guidance_scale",
+    "default_sample_sharpness": "sharpness",
+    "default_sampler": "sampler",
+    "default_scheduler": "scheduler",
+    "default_overwrite_step": "steps",
+    "default_performance": "performance",
+    "default_prompt": "prompt",
+    "default_prompt_negative": "negative_prompt",
+    "default_styles": "styles",
+    "default_aspect_ratio": "resolution",
+    "default_save_metadata_to_images": "default_save_metadata_to_images",
+    "checkpoint_downloads": "checkpoint_downloads",
+    "embeddings_downloads": "embeddings_downloads",
+    "lora_downloads": "lora_downloads"
+}
 
 REWRITE_PRESET = False
 
@@ -530,10 +554,11 @@ def get_model_filenames(folder_paths, extensions=None, name_filter=None):
 
 
 def update_files():
-    global model_filenames, lora_filenames, wildcard_filenames
+    global model_filenames, lora_filenames, wildcard_filenames, available_presets
     model_filenames = get_model_filenames(paths_checkpoints)
     lora_filenames = get_model_filenames(paths_loras)
     wildcard_filenames = get_files_from_folder(path_wildcards, ['.txt'])
+    available_presets = get_presets()
     return
 
 
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 546c093f..0cdbdf1f 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -210,9 +210,8 @@ def parse_meta_from_preset(preset_content):
                 height = height[:height.index(" ")]
             preset_prepared[meta_key] = (width, height)
         else:
-            preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[
-                settings_key] is not None else getattr(modules.config, settings_key)
-
+            preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[settings_key] is not None else getattr(modules.config, settings_key)
+        
         if settings_key == "default_styles" or settings_key == "default_aspect_ratio":
             preset_prepared[meta_key] = str(preset_prepared[meta_key])
 
@@ -570,4 +569,4 @@ def get_exif(metadata: str | None, metadata_scheme: str):
     exif[0x0131] = 'Fooocus v' + fooocus_version.version
     # 0x927C = MakerNote
     exif[0x927C] = metadata_scheme
-    return exif
\ No newline at end of file
+    return exif
diff --git a/presets/realistic.json b/presets/realistic.json
index 95f8b6e0..6db6d0b7 100644
--- a/presets/realistic.json
+++ b/presets/realistic.json
@@ -1,6 +1,6 @@
 {
     "default_model": "realisticStockPhoto_v20.safetensors",
-    "default_refiner": "",
+    "default_refiner": "None",
     "default_refiner_switch": 0.5,
     "default_loras": [
         [
diff --git a/webui.py b/webui.py
index d68ade62..01c828df 100644
--- a/webui.py
+++ b/webui.py
@@ -15,6 +15,7 @@ import modules.style_sorter as style_sorter
 import modules.meta_parser
 import args_manager
 import copy
+import launch
 
 from modules.sdxl_styles import legal_style_names
 from modules.private_logger import get_current_html_path
@@ -252,6 +253,11 @@ with shared.gradio_root:
 
         with gr.Column(scale=1, visible=modules.config.default_advanced_checkbox) as advanced_column:
             with gr.Tab(label='Setting'):
+                if not args_manager.args.disable_preset_selection:
+                    preset_selection = gr.Radio(label='Preset',
+                                                choices=modules.config.available_presets,
+                                                value=args_manager.args.preset if args_manager.args.preset else "initial",
+                                                interactive=True)
                 performance_selection = gr.Radio(label='Performance',
                                                  choices=flags.Performance.list(),
                                                  value=modules.config.default_performance)
@@ -518,13 +524,50 @@ with shared.gradio_root:
                     modules.config.update_files()
                     results = [gr.update(choices=modules.config.model_filenames)]
                     results += [gr.update(choices=['None'] + modules.config.model_filenames)]
+                    if not args_manager.args.disable_preset_selection:
+                        results += [gr.update(choices=modules.config.available_presets)]
                     for i in range(modules.config.default_max_lora_number):
-                        results += [gr.update(interactive=True), gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
+                        results += [gr.update(interactive=True),
+                                    gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
                     return results
 
-                refresh_files.click(refresh_files_clicked, [], [base_model, refiner_model] + lora_ctrls,
+                refresh_files_output = [base_model, refiner_model]
+                if not args_manager.args.disable_preset_selection:
+                    refresh_files_output += [preset_selection]
+                refresh_files.click(refresh_files_clicked, [], refresh_files_output + lora_ctrls,
                                     queue=False, show_progress=False)
 
+        state_is_generating = gr.State(False)
+
+        load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
+                             performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
+                             overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
+                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
+                             refiner_model, refiner_switch, sampler_name, scheduler_name, seed_random, image_seed,
+                             generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
+
+        if not args_manager.args.disable_preset_selection:
+            def preset_selection_change(preset, is_generating):
+                preset_content = modules.config.try_get_preset_content(preset) if preset != 'initial' else {}
+                preset_prepared = modules.meta_parser.parse_meta_from_preset(preset_content)
+
+                default_model = preset_prepared.get('base_model')
+                previous_default_models = preset_prepared.get('previous_default_models', [])
+                checkpoint_downloads = preset_prepared.get('checkpoint_downloads', {})
+                embeddings_downloads = preset_prepared.get('embeddings_downloads', {})
+                lora_downloads = preset_prepared.get('lora_downloads', {})
+
+                preset_prepared['base_model'], preset_prepared['lora_downloads'] = launch.download_models(
+                    default_model, previous_default_models, checkpoint_downloads, embeddings_downloads, lora_downloads)
+
+                if 'prompt' in preset_prepared and preset_prepared.get('prompt') == '':
+                    del preset_prepared['prompt']
+
+                return modules.meta_parser.load_parameter_button_click(json.dumps(preset_prepared), is_generating)
+
+            preset_selection.change(preset_selection_change, inputs=[preset_selection, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
+                .then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
+
         performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
                                                [gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +
                                                [gr.update(interactive=not flags.Performance.has_restricted_features(x), value=flags.Performance.has_restricted_features(x))] * 1,
@@ -600,8 +643,6 @@ with shared.gradio_root:
 
         ctrls += ip_ctrls
 
-        state_is_generating = gr.State(False)
-
         def parse_meta(raw_prompt_txt, is_generating):
             loaded_json = None
             if is_json(raw_prompt_txt):
@@ -617,13 +658,6 @@ with shared.gradio_root:
 
         prompt.input(parse_meta, inputs=[prompt, state_is_generating], outputs=[prompt, generate_button, load_parameter_button], queue=False, show_progress=False)
 
-        load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
-                             performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
-                             overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
-                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
-                             refiner_model, refiner_switch, sampler_name, scheduler_name, seed_random, image_seed,
-                             generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
-
         load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=False)
 
         def trigger_metadata_import(filepath, state_is_generating):
@@ -637,7 +671,6 @@ with shared.gradio_root:
 
             return modules.meta_parser.load_parameter_button_click(parsed_parameters, state_is_generating)
 
-
         metadata_import_button.click(trigger_metadata_import, inputs=[metadata_input_image, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
             .then(style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False)
 

From 55e23a9374cbe09d70f182b7a73a7885411822db Mon Sep 17 00:00:00 2001
From: Spencer Hayes-Laverdiere <spencer.hayes.laverdiere@gmail.com>
Date: Fri, 15 Mar 2024 17:30:29 -0400
Subject: [PATCH 104/180] fix: add error output for unsupported images (#2537)

* Raise Error on bad decode

* Move task arg pop to try block

* fix: prevent empty task from getting queued

---------

Co-authored-by: Manuel Schmid <dev@mash1t.de>
---
 modules/gradio_hijack.py | 7 +++++--
 webui.py                 | 6 +++++-
 2 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/modules/gradio_hijack.py b/modules/gradio_hijack.py
index 181429ec..35df81c0 100644
--- a/modules/gradio_hijack.py
+++ b/modules/gradio_hijack.py
@@ -17,7 +17,7 @@ from gradio_client.documentation import document, set_documentation_group
 from gradio_client.serializing import ImgSerializable
 from PIL import Image as _Image  # using _ to minimize namespace pollution
 
-from gradio import processing_utils, utils
+from gradio import processing_utils, utils, Error
 from gradio.components.base import IOComponent, _Keywords, Block
 from gradio.deprecation import warn_style_method_deprecation
 from gradio.events import (
@@ -275,7 +275,10 @@ class Image(
                 x, mask = x["image"], x["mask"]
 
         assert isinstance(x, str)
-        im = processing_utils.decode_base64_to_image(x)
+        try:
+            im = processing_utils.decode_base64_to_image(x)
+        except PIL.UnidentifiedImageError:
+            raise Error("Unsupported image type in input")
         with warnings.catch_warnings():
             warnings.simplefilter("ignore")
             im = im.convert(self.image_mode)
diff --git a/webui.py b/webui.py
index 01c828df..98780bff 100644
--- a/webui.py
+++ b/webui.py
@@ -29,12 +29,16 @@ def get_task(*args):
 
     return worker.AsyncTask(args=args)
 
-def generate_clicked(task):
+def generate_clicked(task: worker.AsyncTask):
     import ldm_patched.modules.model_management as model_management
 
     with model_management.interrupt_processing_mutex:
         model_management.interrupt_processing = False
     # outputs=[progress_html, progress_window, progress_gallery, gallery]
+
+    if len(task.args) == 0:
+        return
+
     execution_start_time = time.perf_counter()
     finished = False
 

From 37274c652a044783c63f0966c087a4a062f09790 Mon Sep 17 00:00:00 2001
From: David Sage <162500231+DavidDragonsage@users.noreply.github.com>
Date: Fri, 15 Mar 2024 14:52:27 -0700
Subject: [PATCH 105/180] feat: improve anime preset by adding style Fooocus
 Semi Realistic (#2492)

* Add files via upload

In anime.json, at Line 36,
replace "Fooocus Negative" with "Fooocus Semi Realistic"

* Add files via upload

In sdxl_styles_fooocus.json, insert this text at Line 6:

    {
        "name": "Fooocus Semi Realistic",
        "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"
    },

* Add files via upload

Popup image for the new "Fooocus Semi Realistic" style

* Update sdxl_styles_fooocus.json

Removed "grayscale, bw" from the proposed Fooocus Realistic entry at Line 6 of sdxl_styles_fooocus.json

* refactor: cleanup files

* feat: use default model to create thumbnail

juggernautv8, seed 0, 1024x1024, no LoRAs, only this style, positive prompt "cat"

---------

Co-authored-by: Manuel Schmid <manuel.schmid@odt.net>
Co-authored-by: Manuel Schmid <dev@mash1t.de>
---
 presets/anime.json                             |   2 +-
 sdxl_styles/samples/fooocus_semi_realistic.jpg | Bin 0 -> 8565 bytes
 sdxl_styles/sdxl_styles_fooocus.json           |   4 ++++
 3 files changed, 5 insertions(+), 1 deletion(-)
 create mode 100644 sdxl_styles/samples/fooocus_semi_realistic.jpg

diff --git a/presets/anime.json b/presets/anime.json
index 1f2b26a9..6fe6e4ba 100644
--- a/presets/anime.json
+++ b/presets/anime.json
@@ -38,7 +38,7 @@
     "default_prompt_negative": "",
     "default_styles": [
         "Fooocus V2",
-        "Fooocus Negative",
+        "Fooocus Semi Realistic",
         "Fooocus Masterpiece"
     ],
     "default_aspect_ratio": "896*1152",
diff --git a/sdxl_styles/samples/fooocus_semi_realistic.jpg b/sdxl_styles/samples/fooocus_semi_realistic.jpg
new file mode 100644
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GIT binary patch
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literal 0
HcmV?d00001

diff --git a/sdxl_styles/sdxl_styles_fooocus.json b/sdxl_styles/sdxl_styles_fooocus.json
index 81d6442e..cf64eab4 100644
--- a/sdxl_styles/sdxl_styles_fooocus.json
+++ b/sdxl_styles/sdxl_styles_fooocus.json
@@ -3,6 +3,10 @@
         "name": "Fooocus Enhance",
         "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"
     },
+    {
+        "name": "Fooocus Semi Realistic",
+        "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"
+    },
     {
         "name": "Fooocus Sharp",
         "prompt": "cinematic still {prompt} . emotional, harmonious, vignette, 4k epic detailed, shot on kodak, 35mm photo, sharp focus, high budget, cinemascope, moody, epic, gorgeous, film grain, grainy",

From 86cba3f223720245269b96d86560d8ef16806c2a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Fri, 15 Mar 2024 23:11:26 +0100
Subject: [PATCH 106/180] feat: add translation for unsupported image error
 (#2537)

---
 language/en.json | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/language/en.json b/language/en.json
index 0f97e6e9..fefc79c4 100644
--- a/language/en.json
+++ b/language/en.json
@@ -384,5 +384,6 @@
     "Metadata Scheme": "Metadata Scheme",
     "Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.": "Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.",
     "fooocus (json)": "fooocus (json)",
-    "a1111 (plain text)": "a1111 (plain text)"
+    "a1111 (plain text)": "a1111 (plain text)",
+    "Unsupported image type in input": "Unsupported image type in input"
 }
\ No newline at end of file

From d057f2fae9c8222cb30a1eb20c549a7cf2c96bda Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 17 Mar 2024 14:01:10 +0100
Subject: [PATCH 107/180] fix: correctly handle empty lora array in a1111
 metadata log scheme (#2551)

---
 modules/meta_parser.py | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 546c093f..e518a9cf 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -377,7 +377,7 @@ class A1111MetadataParser(MetadataParser):
                         data[key] = filename
                         break
 
-        if 'lora_hashes' in data:
+        if 'lora_hashes' in data and data['lora_hashes'] != '':
             lora_filenames = modules.config.lora_filenames.copy()
             if modules.config.sdxl_lcm_lora in lora_filenames:
                 lora_filenames.remove(modules.config.sdxl_lcm_lora)
@@ -431,16 +431,15 @@ class A1111MetadataParser(MetadataParser):
             if key in data:
                 generation_params[self.fooocus_to_a1111[key]] = data[key]
 
-        lora_hashes = []
-        for index, (lora_name, lora_weight, lora_hash) in enumerate(self.loras):
-            # workaround for Fooocus not knowing LoRA name in LoRA metadata
-            lora_hashes.append(f'{lora_name}: {lora_hash}: {lora_weight}')
-        lora_hashes_string = ', '.join(lora_hashes)
+        if len(self.loras) > 0:
+            lora_hashes = []
+            for index, (lora_name, lora_weight, lora_hash) in enumerate(self.loras):
+                # workaround for Fooocus not knowing LoRA name in LoRA metadata
+                lora_hashes.append(f'{lora_name}: {lora_hash}: {lora_weight}')
+            lora_hashes_string = ', '.join(lora_hashes)
+            generation_params[self.fooocus_to_a1111['lora_hashes']] = lora_hashes_string
 
-        generation_params |= {
-            self.fooocus_to_a1111['lora_hashes']: lora_hashes_string,
-            self.fooocus_to_a1111['version']: data['version']
-        }
+        generation_params[self.fooocus_to_a1111['version']] = data['version']
 
         if modules.config.metadata_created_by != '':
             generation_params[self.fooocus_to_a1111['created_by']] = modules.config.metadata_created_by

From 6b44c101dbfe742fd912456c200ad1bfa4a88473 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 18 Mar 2024 12:30:39 +0100
Subject: [PATCH 108/180] feat: update changelog and readme

---
 readme.md     | 10 +++++++---
 update_log.md | 11 +++++++++++
 2 files changed, 18 insertions(+), 3 deletions(-)

diff --git a/readme.md b/readme.md
index 4e47ac08..6ec24eed 100644
--- a/readme.md
+++ b/readme.md
@@ -84,6 +84,10 @@ The first time you launch the software, it will automatically download models:
 
 After Fooocus 2.1.60, you will also have `run_anime.bat` and `run_realistic.bat`. They are different model presets (and require different models, but they will be automatically downloaded). [Check here for more details](https://github.com/lllyasviel/Fooocus/discussions/679).
 
+After Fooocus 2.3.0 you can also switch presets directly in the browser. Keep in mind to add these arguments if you want to change the default behavior:
+* Use `--disable-preset-selection` to disable preset selection in the browser.
+* Use `--always-download-new-model` to download missing models on preset switch. Default is fallback to `previous_default_models` defined in the corresponding preset, also see terminal output.
+
 ![image](https://github.com/lllyasviel/Fooocus/assets/19834515/d386f817-4bd7-490c-ad89-c1e228c23447)
 
 If you already have these files, you can copy them to the above locations to speed up installation.
@@ -115,7 +119,7 @@ See also the common problems and troubleshoots [here](troubleshoot.md).
 
 ### Colab
 
-(Last tested - 2024 Mar 11)
+(Last tested - 2024 Mar 18 - @mashb1t)
 
 | Colab | Info
 | --- | --- |
@@ -125,9 +129,9 @@ In Colab, you can modify the last line to `!python entry_with_update.py --share
 
 Note that this Colab will disable refiner by default because Colab free's resources are relatively limited (and some "big" features like image prompt may cause free-tier Colab to disconnect). We make sure that basic text-to-image is always working on free-tier Colab.
 
-Using `--always-high-vram` shifts resource allocation from RAM to VRAM and achieves the overall best balance between performance, flexibility and stability on the default T4 instance.
+Using `--always-high-vram` shifts resource allocation from RAM to VRAM and achieves the overall best balance between performance, flexibility and stability on the default T4 instance. Please find more information [here](https://github.com/lllyasviel/Fooocus/pull/1710#issuecomment-1989185346).
 
-Thanks to [camenduru](https://github.com/camenduru)!
+Thanks to [camenduru](https://github.com/camenduru) for the template!
 
 ### Linux (Using Anaconda)
 
diff --git a/update_log.md b/update_log.md
index 322c19c1..4e22db0a 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,14 @@
+# [2.3.0](https://github.com/lllyasviel/Fooocus/releases/tag/2.3.0)
+
+* Add performance "lightning" (based on [SDXL-Lightning 4 step LoRA](https://huggingface.co/ByteDance/SDXL-Lightning/blob/main/sdxl_lightning_4step_lora.safetensors))
+* Add preset selection to UI, disable with argument `--disable-preset-selection`. Use `--always-download-new-model` to download missing models on preset switch.
+* Improve face swap consistency by switching later in the process to (synthetic) refiner
+* Add temp path cleanup on startup
+* Add support for wildcard subdirectories
+* Add scrollable 2 column layout for styles for better structure
+* Improve Colab resource needs for T4 instances (default), positively tested with all image prompt features
+* Improve anime preset, now uses style `Fooocus Semi Realistic` instead of `Fooocus Negative` (less wet look images)
+
 # [2.2.1](https://github.com/lllyasviel/Fooocus/releases/tag/2.2.1)
 
 * Fix some small bugs (e.g. image grid, upscale fast 2x, LoRA weight width in Firefox)

From c08518abae926d596ac5095ba8af7c3c3d88cc4d Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 18 Mar 2024 17:40:37 +0100
Subject: [PATCH 109/180] feat: add backwards compatibility for presets without
 disable/enable LoRA boolean

https://github.com/lllyasviel/Fooocus/pull/2507
---
 modules/config.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/modules/config.py b/modules/config.py
index c82f61c2..f3bf7f1f 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -323,8 +323,12 @@ default_loras = get_config_item_or_set_default(
             1.0
         ]
     ],
-    validator=lambda x: isinstance(x, list) and all(len(y) == 3 and isinstance(y[0], bool) and isinstance(y[1], str) and isinstance(y[2], numbers.Number) for y in x)
+    validator=lambda x: isinstance(x, list) and all(
+        len(y) == 3 and isinstance(y[0], bool) and isinstance(y[1], str) and isinstance(y[2], numbers.Number)
+        or len(y) == 2 and isinstance(y[0], str) and isinstance(y[1], numbers.Number)
+        for y in x)
 )
+default_loras = [(y[0], y[1], y[2]) if len(y) == 3 else (True, y[0], y[1]) for y in default_loras]
 default_max_lora_number = get_config_item_or_set_default(
     key='default_max_lora_number',
     default_value=len(default_loras) if isinstance(default_loras, list) and len(default_loras) > 0 else 5,

From ee361715afb7dab10ff266fcf8d8c6abcebfd81a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 18 Mar 2024 18:04:15 +0100
Subject: [PATCH 110/180] docs: bump version number to 2.3.0

---
 fooocus_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index 6c3c2c90..a4b8895b 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.2.1'
+version = '2.3.0'

From 3efce581cac1df4441980710f55c28fbde3ac3d7 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Mon, 18 Mar 2024 18:13:15 +0100
Subject: [PATCH 111/180] docs: add hint for colab preset timeout to readme

---
 readme.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/readme.md b/readme.md
index 6ec24eed..5f66e02a 100644
--- a/readme.md
+++ b/readme.md
@@ -119,7 +119,7 @@ See also the common problems and troubleshoots [here](troubleshoot.md).
 
 ### Colab
 
-(Last tested - 2024 Mar 18 - @mashb1t)
+(Last tested - 2024 Mar 18 by [mashb1t](https://github.com/mashb1t))
 
 | Colab | Info
 | --- | --- |
@@ -127,6 +127,8 @@ See also the common problems and troubleshoots [here](troubleshoot.md).
 
 In Colab, you can modify the last line to `!python entry_with_update.py --share --always-high-vram` or `!python entry_with_update.py --share --always-high-vram --preset anime` or `!python entry_with_update.py --share --always-high-vram --preset realistic` for Fooocus Default/Anime/Realistic Edition.
 
+You can also change the preset in the UI. Please be aware that this may lead to timeouts after 60 seconds. If this is the case, please wait until the download has finished, change the preset to initial and back to the one you've selected or reload the page.
+
 Note that this Colab will disable refiner by default because Colab free's resources are relatively limited (and some "big" features like image prompt may cause free-tier Colab to disconnect). We make sure that basic text-to-image is always working on free-tier Colab.
 
 Using `--always-high-vram` shifts resource allocation from RAM to VRAM and achieves the overall best balance between performance, flexibility and stability on the default T4 instance. Please find more information [here](https://github.com/lllyasviel/Fooocus/pull/1710#issuecomment-1989185346).

From 532a6e2e67634a8b33fb218a44da498c4f689db5 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <manuel.schmid@odt.net>
Date: Tue, 19 Mar 2024 19:10:14 +0100
Subject: [PATCH 112/180] fix: remove positive prompt from anime prefix

prevents the prompt from getting overridden when switching presets in browser
---
 presets/anime.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/presets/anime.json b/presets/anime.json
index 6fe6e4ba..2610677c 100644
--- a/presets/anime.json
+++ b/presets/anime.json
@@ -34,7 +34,7 @@
     "default_sampler": "dpmpp_2m_sde_gpu",
     "default_scheduler": "karras",
     "default_performance": "Speed",
-    "default_prompt": "1girl, ",
+    "default_prompt": "",
     "default_prompt_negative": "",
     "default_styles": [
         "Fooocus V2",

From 856eb750ab515a3b5b28b7d35360fca1411dd933 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Tue, 19 Mar 2024 23:08:38 +0100
Subject: [PATCH 113/180] fix: add enabled value to LoRA when setting
 default_max_lora_number

---
 modules/config.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/config.py b/modules/config.py
index f3bf7f1f..ba2a76fb 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -476,7 +476,7 @@ metadata_created_by = get_config_item_or_set_default(
 
 example_inpaint_prompts = [[x] for x in example_inpaint_prompts]
 
-config_dict["default_loras"] = default_loras = default_loras[:default_max_lora_number] + [['None', 1.0] for _ in range(default_max_lora_number - len(default_loras))]
+config_dict["default_loras"] = default_loras = default_loras[:default_max_lora_number] + [[True, 'None', 1.0] for _ in range(default_max_lora_number - len(default_loras))]
 
 # mapping config to meta parameter 
 possible_preset_keys = {

From 978267f461e204c6c4359a79ed818ee2e3e1af39 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Wed, 20 Mar 2024 21:12:21 +0100
Subject: [PATCH 114/180] fix: correctly set preset config and loras in meta
 parser

---
 modules/config.py      |  8 --------
 modules/meta_parser.py | 19 ++++++++++++++-----
 2 files changed, 14 insertions(+), 13 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index ba2a76fb..76ffd348 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -124,14 +124,6 @@ def try_get_preset_content(preset):
             print(e)
     return {}
 
-
-try:
-    with open(os.path.abspath(f'./presets/default.json'), "r", encoding="utf-8") as json_file:
-        config_dict.update(json.load(json_file))
-except Exception as e:
-    print(f'Load default preset failed.')
-    print(e)
-
 available_presets = get_presets()
 preset = args_manager.args.preset
 config_dict.update(try_get_preset_content(preset))
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 15f0ad7b..10bc6896 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -169,11 +169,20 @@ def get_freeu(key: str, fallback: str | None, source_dict: dict, results: list,
 
 def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
     try:
-        n, w = source_dict.get(key, source_dict.get(fallback)).split(' : ')
-        w = float(w)
-        results.append(True)
-        results.append(n)
-        results.append(w)
+        split_data = source_dict.get(key, source_dict.get(fallback)).split(' : ')
+        enabled = True
+        name = split_data[0]
+        weight = split_data[1]
+
+        if len(split_data) == 3:
+            enabled = split_data[0] == 'True'
+            name = split_data[1]
+            weight = split_data[2]
+
+        weight = float(weight)
+        results.append(enabled)
+        results.append(name)
+        results.append(weight)
     except:
         results.append(True)
         results.append('None')

From 7564dd5131ebef2b62b34ea88215f05d29bcdd60 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 23 Mar 2024 12:49:20 +0100
Subject: [PATCH 115/180] fix: load image number from preset (#2611)

* fix: add default_image_number to preset handling

* fix: use minimum image number of preset and config to prevent UI overflow
---
 modules/config.py      |  1 +
 modules/meta_parser.py | 14 +++++++++++++-
 2 files changed, 14 insertions(+), 1 deletion(-)

diff --git a/modules/config.py b/modules/config.py
index 76ffd348..6c02ca13 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -485,6 +485,7 @@ possible_preset_keys = {
     "default_scheduler": "scheduler",
     "default_overwrite_step": "steps",
     "default_performance": "performance",
+    "default_image_number": "image_number",
     "default_prompt": "prompt",
     "default_prompt_negative": "negative_prompt",
     "default_styles": "styles",
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 10bc6896..8cd21cbc 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -27,8 +27,9 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
         loaded_parameter_dict = json.loads(raw_metadata)
     assert isinstance(loaded_parameter_dict, dict)
 
-    results = [len(loaded_parameter_dict) > 0, 1]
+    results = [len(loaded_parameter_dict) > 0]
 
+    get_image_number('image_number', 'Image Number', loaded_parameter_dict, results)
     get_str('prompt', 'Prompt', loaded_parameter_dict, results)
     get_str('negative_prompt', 'Negative Prompt', loaded_parameter_dict, results)
     get_list('styles', 'Styles', loaded_parameter_dict, results)
@@ -92,6 +93,17 @@ def get_float(key: str, fallback: str | None, source_dict: dict, results: list,
         results.append(gr.update())
 
 
+def get_image_number(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
+    try:
+        h = source_dict.get(key, source_dict.get(fallback, default))
+        assert h is not None
+        h = int(h)
+        h = min(h, modules.config.default_max_image_number)
+        results.append(h)
+    except:
+        results.append(1)
+
+
 def get_steps(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
         h = source_dict.get(key, source_dict.get(fallback, default))

From 9aaa40055334978742295b6187c90bac72a81f84 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 23 Mar 2024 13:10:21 +0100
Subject: [PATCH 116/180] fix: use correct base dimensions for outpaint mask
 padding (#2612)

---
 modules/async_worker.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index fa959361..d8a1e072 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -614,12 +614,12 @@ def worker():
 
                 H, W, C = inpaint_image.shape
                 if 'left' in outpaint_selections:
-                    inpaint_image = np.pad(inpaint_image, [[0, 0], [int(H * 0.3), 0], [0, 0]], mode='edge')
-                    inpaint_mask = np.pad(inpaint_mask, [[0, 0], [int(H * 0.3), 0]], mode='constant',
+                    inpaint_image = np.pad(inpaint_image, [[0, 0], [int(W * 0.3), 0], [0, 0]], mode='edge')
+                    inpaint_mask = np.pad(inpaint_mask, [[0, 0], [int(W * 0.3), 0]], mode='constant',
                                           constant_values=255)
                 if 'right' in outpaint_selections:
-                    inpaint_image = np.pad(inpaint_image, [[0, 0], [0, int(H * 0.3)], [0, 0]], mode='edge')
-                    inpaint_mask = np.pad(inpaint_mask, [[0, 0], [0, int(H * 0.3)]], mode='constant',
+                    inpaint_image = np.pad(inpaint_image, [[0, 0], [0, int(W * 0.3)], [0, 0]], mode='edge')
+                    inpaint_mask = np.pad(inpaint_mask, [[0, 0], [0, int(W * 0.3)]], mode='constant',
                                           constant_values=255)
 
                 inpaint_image = np.ascontiguousarray(inpaint_image.copy())

From 523ef5c70e527c817a08dfd4ee975e00ddfca0f2 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 23 Mar 2024 16:37:18 +0100
Subject: [PATCH 117/180] fix: add Civitai compatibility for LoRAs in a1111
 metadata scheme by switching schema (#2615)

* feat: update sha256 generation functions

https://github.com/lllyasviel/stable-diffusion-webui-forge/blob/29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7/modules/hashes.py

* feat: add compatibility for LoRAs in a1111 metadata scheme

* feat: add backwards compatibility

* refactor: extract remove_special_loras

* fix: correctly apply LoRA weight for legacy schema
---
 modules/config.py      |  1 +
 modules/meta_parser.py | 47 ++++++++++++++++++++++++++++--------------
 modules/util.py        | 38 +++++++++++++++++++++++++++++-----
 3 files changed, 66 insertions(+), 20 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index 6c02ca13..b81e218a 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -539,6 +539,7 @@ wildcard_filenames = []
 
 sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
 sdxl_lightning_lora = 'sdxl_lightning_4step_lora.safetensors'
+loras_metadata_remove = [sdxl_lcm_lora, sdxl_lightning_lora]
 
 
 def get_model_filenames(folder_paths, extensions=None, name_filter=None):
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 8cd21cbc..70ab8860 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -1,5 +1,4 @@
 import json
-import os
 import re
 from abc import ABC, abstractmethod
 from pathlib import Path
@@ -12,7 +11,7 @@ import modules.config
 import modules.sdxl_styles
 from modules.flags import MetadataScheme, Performance, Steps
 from modules.flags import SAMPLERS, CIVITAI_NO_KARRAS
-from modules.util import quote, unquote, extract_styles_from_prompt, is_json, get_file_from_folder_list, calculate_sha256
+from modules.util import quote, unquote, extract_styles_from_prompt, is_json, get_file_from_folder_list, sha256
 
 re_param_code = r'\s*(\w[\w \-/]+):\s*("(?:\\.|[^\\"])+"|[^,]*)(?:,|$)'
 re_param = re.compile(re_param_code)
@@ -110,7 +109,8 @@ def get_steps(key: str, fallback: str | None, source_dict: dict, results: list,
         assert h is not None
         h = int(h)
         # if not in steps or in steps and performance is not the same
-        if h not in iter(Steps) or Steps(h).name.casefold() != source_dict.get('performance', '').replace(' ', '_').casefold():
+        if h not in iter(Steps) or Steps(h).name.casefold() != source_dict.get('performance', '').replace(' ',
+                                                                                                          '_').casefold():
             results.append(h)
             return
         results.append(-1)
@@ -204,7 +204,8 @@ def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
 def get_sha256(filepath):
     global hash_cache
     if filepath not in hash_cache:
-        hash_cache[filepath] = calculate_sha256(filepath)
+        # is_safetensors = os.path.splitext(filepath)[1].lower() == '.safetensors'
+        hash_cache[filepath] = sha256(filepath)
 
     return hash_cache[filepath]
 
@@ -231,8 +232,9 @@ def parse_meta_from_preset(preset_content):
                 height = height[:height.index(" ")]
             preset_prepared[meta_key] = (width, height)
         else:
-            preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[settings_key] is not None else getattr(modules.config, settings_key)
-        
+            preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[
+                settings_key] is not None else getattr(modules.config, settings_key)
+
         if settings_key == "default_styles" or settings_key == "default_aspect_ratio":
             preset_prepared[meta_key] = str(preset_prepared[meta_key])
 
@@ -288,6 +290,12 @@ class MetadataParser(ABC):
                 lora_hash = get_sha256(lora_path)
                 self.loras.append((Path(lora_name).stem, lora_weight, lora_hash))
 
+    @staticmethod
+    def remove_special_loras(lora_filenames):
+        for lora_to_remove in modules.config.loras_metadata_remove:
+            if lora_to_remove in lora_filenames:
+                lora_filenames.remove(lora_to_remove)
+
 
 class A1111MetadataParser(MetadataParser):
     def get_scheme(self) -> MetadataScheme:
@@ -397,12 +405,19 @@ class A1111MetadataParser(MetadataParser):
                         data[key] = filename
                         break
 
-        if 'lora_hashes' in data and data['lora_hashes'] != '':
+        lora_data = ''
+        if 'lora_weights' in data and data['lora_weights'] != '':
+            lora_data = data['lora_weights']
+        elif 'lora_hashes' in data and data['lora_hashes'] != '' and data['lora_hashes'].split(', ')[0].count(':') == 2:
+            lora_data = data['lora_hashes']
+
+        if lora_data != '':
             lora_filenames = modules.config.lora_filenames.copy()
-            if modules.config.sdxl_lcm_lora in lora_filenames:
-                lora_filenames.remove(modules.config.sdxl_lcm_lora)
-            for li, lora in enumerate(data['lora_hashes'].split(', ')):
-                lora_name, lora_hash, lora_weight = lora.split(': ')
+            self.remove_special_loras(lora_filenames)
+            for li, lora in enumerate(lora_data.split(', ')):
+                lora_split = lora.split(': ')
+                lora_name = lora_split[0]
+                lora_weight = lora_split[2] if len(lora_split) == 3 else lora_split[1]
                 for filename in lora_filenames:
                     path = Path(filename)
                     if lora_name == path.stem:
@@ -453,11 +468,15 @@ class A1111MetadataParser(MetadataParser):
 
         if len(self.loras) > 0:
             lora_hashes = []
+            lora_weights = []
             for index, (lora_name, lora_weight, lora_hash) in enumerate(self.loras):
                 # workaround for Fooocus not knowing LoRA name in LoRA metadata
-                lora_hashes.append(f'{lora_name}: {lora_hash}: {lora_weight}')
+                lora_hashes.append(f'{lora_name}: {lora_hash}')
+                lora_weights.append(f'{lora_name}: {lora_weight}')
             lora_hashes_string = ', '.join(lora_hashes)
+            lora_weights_string = ', '.join(lora_weights)
             generation_params[self.fooocus_to_a1111['lora_hashes']] = lora_hashes_string
+            generation_params[self.fooocus_to_a1111['lora_weights']] = lora_weights_string
 
         generation_params[self.fooocus_to_a1111['version']] = data['version']
 
@@ -480,9 +499,7 @@ class FooocusMetadataParser(MetadataParser):
     def parse_json(self, metadata: dict) -> dict:
         model_filenames = modules.config.model_filenames.copy()
         lora_filenames = modules.config.lora_filenames.copy()
-        if modules.config.sdxl_lcm_lora in lora_filenames:
-            lora_filenames.remove(modules.config.sdxl_lcm_lora)
-
+        self.remove_special_loras(lora_filenames)
         for key, value in metadata.items():
             if value in ['', 'None']:
                 continue
diff --git a/modules/util.py b/modules/util.py
index 7c46d946..9e0fb294 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -7,9 +7,9 @@ import math
 import os
 import cv2
 import json
+import hashlib
 
 from PIL import Image
-from hashlib import sha256
 
 import modules.sdxl_styles
 
@@ -182,16 +182,44 @@ def get_files_from_folder(folder_path, extensions=None, name_filter=None):
     return filenames
 
 
-def calculate_sha256(filename, length=HASH_SHA256_LENGTH) -> str:
-    hash_sha256 = sha256()
+def sha256(filename, use_addnet_hash=False, length=HASH_SHA256_LENGTH):
+    print(f"Calculating sha256 for {filename}: ", end='')
+    if use_addnet_hash:
+        with open(filename, "rb") as file:
+            sha256_value = addnet_hash_safetensors(file)
+    else:
+        sha256_value = calculate_sha256(filename)
+    print(f"{sha256_value}")
+
+    return sha256_value[:length] if length is not None else sha256_value
+
+
+def addnet_hash_safetensors(b):
+    """kohya-ss hash for safetensors from https://github.com/kohya-ss/sd-scripts/blob/main/library/train_util.py"""
+    hash_sha256 = hashlib.sha256()
+    blksize = 1024 * 1024
+
+    b.seek(0)
+    header = b.read(8)
+    n = int.from_bytes(header, "little")
+
+    offset = n + 8
+    b.seek(offset)
+    for chunk in iter(lambda: b.read(blksize), b""):
+        hash_sha256.update(chunk)
+
+    return hash_sha256.hexdigest()
+
+
+def calculate_sha256(filename) -> str:
+    hash_sha256 = hashlib.sha256()
     blksize = 1024 * 1024
 
     with open(filename, "rb") as f:
         for chunk in iter(lambda: f.read(blksize), b""):
             hash_sha256.update(chunk)
 
-    res = hash_sha256.hexdigest()
-    return res[:length] if length else res
+    return hash_sha256.hexdigest()
 
 
 def quote(text):

From e2f9bcb11d06216d6800676c48d8d74d6fd77a4b Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 23 Mar 2024 16:57:11 +0100
Subject: [PATCH 118/180] docs: bump version number to 2.3.1, add changelog
 (#2616)

---
 fooocus_version.py | 2 +-
 update_log.md      | 7 +++++++
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index a4b8895b..b2050196 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.3.0'
+version = '2.3.1'
diff --git a/update_log.md b/update_log.md
index 4e22db0a..62c4882b 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,10 @@
+# [2.3.1](https://github.com/lllyasviel/Fooocus/releases/tag/2.3.1)
+
+* Remove positive prompt from anime prefix to not reset prompt after switching presets
+* Fix image number being reset to 1 when switching preset, now doesn't reset anymore
+* Fix outpainting dimension calculation when extending left/right
+* Fix LoRA compatibility for LoRAs in a1111 metadata scheme
+
 # [2.3.0](https://github.com/lllyasviel/Fooocus/releases/tag/2.3.0)
 
 * Add performance "lightning" (based on [SDXL-Lightning 4 step LoRA](https://huggingface.co/ByteDance/SDXL-Lightning/blob/main/sdxl_lightning_4step_lora.safetensors))

From 5ada070d88f0527568d2c8c3ac77d3e12d77997b Mon Sep 17 00:00:00 2001
From: delta_lt_0 <chenxinlong2009@gmail.com>
Date: Sat, 6 Apr 2024 21:25:19 +0800
Subject: [PATCH 119/180] feat: support download of huggingface files from a
 mirror website (#2637)

* fix: load image number from preset (#2611)

* fix: add default_image_number to preset handling

* fix: use minimum image number of preset and config to prevent UI overflow

* fix: use correct base dimensions for outpaint mask padding (#2612)

* fix: add Civitai compatibility for LoRAs in a1111 metadata scheme by switching schema (#2615)

* feat: update sha256 generation functions

https://github.com/lllyasviel/stable-diffusion-webui-forge/blob/29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7/modules/hashes.py

* feat: add compatibility for LoRAs in a1111 metadata scheme

* feat: add backwards compatibility

* refactor: extract remove_special_loras

* fix: correctly apply LoRA weight for legacy schema

* docs: bump version number to 2.3.1, add changelog (#2616)

* feat:support download huggingface files from a  mirror site

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
---
 docker.md                          |  1 +
 fooocus_version.py                 |  2 +-
 launch.py                          |  4 ++
 ldm_patched/modules/args_parser.py |  1 +
 modules/async_worker.py            |  8 ++--
 modules/config.py                  |  2 +
 modules/meta_parser.py             | 61 ++++++++++++++++++++++--------
 modules/model_loader.py            |  2 +
 modules/util.py                    | 38 ++++++++++++++++---
 readme.md                          |  1 +
 update_log.md                      |  7 ++++
 11 files changed, 101 insertions(+), 26 deletions(-)

diff --git a/docker.md b/docker.md
index 36cfa632..1939d6fc 100644
--- a/docker.md
+++ b/docker.md
@@ -54,6 +54,7 @@ Docker specified environments are there. They are used by 'entrypoint.sh'
 |CMDARGS|Arguments for [entry_with_update.py](entry_with_update.py) which is called by [entrypoint.sh](entrypoint.sh)|
 |config_path|'config.txt' location|
 |config_example_path|'config_modification_tutorial.txt' location|
+|HF_MIRROR| huggingface mirror site domain| 
 
 You can also use the same json key names and values explained in the 'config_modification_tutorial.txt' as the environments.
 See examples in the [docker-compose.yml](docker-compose.yml)
diff --git a/fooocus_version.py b/fooocus_version.py
index a4b8895b..b2050196 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.3.0'
+version = '2.3.1'
diff --git a/launch.py b/launch.py
index afa66705..5c865e6d 100644
--- a/launch.py
+++ b/launch.py
@@ -80,6 +80,10 @@ if args.gpu_device_id is not None:
     os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
     print("Set device to:", args.gpu_device_id)
 
+if args.hf_mirror is not None : 
+    os.environ['HF_MIRROR'] = str(args.hf_mirror)
+    print("Set hf_mirror to:", args.hf_mirror)
+
 from modules import config
 
 os.environ['GRADIO_TEMP_DIR'] = config.temp_path
diff --git a/ldm_patched/modules/args_parser.py b/ldm_patched/modules/args_parser.py
index 0c6165a7..bf873783 100644
--- a/ldm_patched/modules/args_parser.py
+++ b/ldm_patched/modules/args_parser.py
@@ -37,6 +37,7 @@ parser.add_argument("--listen", type=str, default="127.0.0.1", metavar="IP", nar
 parser.add_argument("--port", type=int, default=8188)
 parser.add_argument("--disable-header-check", type=str, default=None, metavar="ORIGIN", nargs="?", const="*")
 parser.add_argument("--web-upload-size", type=float, default=100)
+parser.add_argument("--hf-mirror", type=str, default=None)
 
 parser.add_argument("--external-working-path", type=str, default=None, metavar="PATH", nargs='+', action='append')
 parser.add_argument("--output-path", type=str, default=None)
diff --git a/modules/async_worker.py b/modules/async_worker.py
index fa959361..d8a1e072 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -614,12 +614,12 @@ def worker():
 
                 H, W, C = inpaint_image.shape
                 if 'left' in outpaint_selections:
-                    inpaint_image = np.pad(inpaint_image, [[0, 0], [int(H * 0.3), 0], [0, 0]], mode='edge')
-                    inpaint_mask = np.pad(inpaint_mask, [[0, 0], [int(H * 0.3), 0]], mode='constant',
+                    inpaint_image = np.pad(inpaint_image, [[0, 0], [int(W * 0.3), 0], [0, 0]], mode='edge')
+                    inpaint_mask = np.pad(inpaint_mask, [[0, 0], [int(W * 0.3), 0]], mode='constant',
                                           constant_values=255)
                 if 'right' in outpaint_selections:
-                    inpaint_image = np.pad(inpaint_image, [[0, 0], [0, int(H * 0.3)], [0, 0]], mode='edge')
-                    inpaint_mask = np.pad(inpaint_mask, [[0, 0], [0, int(H * 0.3)]], mode='constant',
+                    inpaint_image = np.pad(inpaint_image, [[0, 0], [0, int(W * 0.3)], [0, 0]], mode='edge')
+                    inpaint_mask = np.pad(inpaint_mask, [[0, 0], [0, int(W * 0.3)]], mode='constant',
                                           constant_values=255)
 
                 inpaint_image = np.ascontiguousarray(inpaint_image.copy())
diff --git a/modules/config.py b/modules/config.py
index 76ffd348..b81e218a 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -485,6 +485,7 @@ possible_preset_keys = {
     "default_scheduler": "scheduler",
     "default_overwrite_step": "steps",
     "default_performance": "performance",
+    "default_image_number": "image_number",
     "default_prompt": "prompt",
     "default_prompt_negative": "negative_prompt",
     "default_styles": "styles",
@@ -538,6 +539,7 @@ wildcard_filenames = []
 
 sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
 sdxl_lightning_lora = 'sdxl_lightning_4step_lora.safetensors'
+loras_metadata_remove = [sdxl_lcm_lora, sdxl_lightning_lora]
 
 
 def get_model_filenames(folder_paths, extensions=None, name_filter=None):
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 10bc6896..70ab8860 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -1,5 +1,4 @@
 import json
-import os
 import re
 from abc import ABC, abstractmethod
 from pathlib import Path
@@ -12,7 +11,7 @@ import modules.config
 import modules.sdxl_styles
 from modules.flags import MetadataScheme, Performance, Steps
 from modules.flags import SAMPLERS, CIVITAI_NO_KARRAS
-from modules.util import quote, unquote, extract_styles_from_prompt, is_json, get_file_from_folder_list, calculate_sha256
+from modules.util import quote, unquote, extract_styles_from_prompt, is_json, get_file_from_folder_list, sha256
 
 re_param_code = r'\s*(\w[\w \-/]+):\s*("(?:\\.|[^\\"])+"|[^,]*)(?:,|$)'
 re_param = re.compile(re_param_code)
@@ -27,8 +26,9 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
         loaded_parameter_dict = json.loads(raw_metadata)
     assert isinstance(loaded_parameter_dict, dict)
 
-    results = [len(loaded_parameter_dict) > 0, 1]
+    results = [len(loaded_parameter_dict) > 0]
 
+    get_image_number('image_number', 'Image Number', loaded_parameter_dict, results)
     get_str('prompt', 'Prompt', loaded_parameter_dict, results)
     get_str('negative_prompt', 'Negative Prompt', loaded_parameter_dict, results)
     get_list('styles', 'Styles', loaded_parameter_dict, results)
@@ -92,13 +92,25 @@ def get_float(key: str, fallback: str | None, source_dict: dict, results: list,
         results.append(gr.update())
 
 
+def get_image_number(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
+    try:
+        h = source_dict.get(key, source_dict.get(fallback, default))
+        assert h is not None
+        h = int(h)
+        h = min(h, modules.config.default_max_image_number)
+        results.append(h)
+    except:
+        results.append(1)
+
+
 def get_steps(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
         h = source_dict.get(key, source_dict.get(fallback, default))
         assert h is not None
         h = int(h)
         # if not in steps or in steps and performance is not the same
-        if h not in iter(Steps) or Steps(h).name.casefold() != source_dict.get('performance', '').replace(' ', '_').casefold():
+        if h not in iter(Steps) or Steps(h).name.casefold() != source_dict.get('performance', '').replace(' ',
+                                                                                                          '_').casefold():
             results.append(h)
             return
         results.append(-1)
@@ -192,7 +204,8 @@ def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
 def get_sha256(filepath):
     global hash_cache
     if filepath not in hash_cache:
-        hash_cache[filepath] = calculate_sha256(filepath)
+        # is_safetensors = os.path.splitext(filepath)[1].lower() == '.safetensors'
+        hash_cache[filepath] = sha256(filepath)
 
     return hash_cache[filepath]
 
@@ -219,8 +232,9 @@ def parse_meta_from_preset(preset_content):
                 height = height[:height.index(" ")]
             preset_prepared[meta_key] = (width, height)
         else:
-            preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[settings_key] is not None else getattr(modules.config, settings_key)
-        
+            preset_prepared[meta_key] = items[settings_key] if settings_key in items and items[
+                settings_key] is not None else getattr(modules.config, settings_key)
+
         if settings_key == "default_styles" or settings_key == "default_aspect_ratio":
             preset_prepared[meta_key] = str(preset_prepared[meta_key])
 
@@ -276,6 +290,12 @@ class MetadataParser(ABC):
                 lora_hash = get_sha256(lora_path)
                 self.loras.append((Path(lora_name).stem, lora_weight, lora_hash))
 
+    @staticmethod
+    def remove_special_loras(lora_filenames):
+        for lora_to_remove in modules.config.loras_metadata_remove:
+            if lora_to_remove in lora_filenames:
+                lora_filenames.remove(lora_to_remove)
+
 
 class A1111MetadataParser(MetadataParser):
     def get_scheme(self) -> MetadataScheme:
@@ -385,12 +405,19 @@ class A1111MetadataParser(MetadataParser):
                         data[key] = filename
                         break
 
-        if 'lora_hashes' in data and data['lora_hashes'] != '':
+        lora_data = ''
+        if 'lora_weights' in data and data['lora_weights'] != '':
+            lora_data = data['lora_weights']
+        elif 'lora_hashes' in data and data['lora_hashes'] != '' and data['lora_hashes'].split(', ')[0].count(':') == 2:
+            lora_data = data['lora_hashes']
+
+        if lora_data != '':
             lora_filenames = modules.config.lora_filenames.copy()
-            if modules.config.sdxl_lcm_lora in lora_filenames:
-                lora_filenames.remove(modules.config.sdxl_lcm_lora)
-            for li, lora in enumerate(data['lora_hashes'].split(', ')):
-                lora_name, lora_hash, lora_weight = lora.split(': ')
+            self.remove_special_loras(lora_filenames)
+            for li, lora in enumerate(lora_data.split(', ')):
+                lora_split = lora.split(': ')
+                lora_name = lora_split[0]
+                lora_weight = lora_split[2] if len(lora_split) == 3 else lora_split[1]
                 for filename in lora_filenames:
                     path = Path(filename)
                     if lora_name == path.stem:
@@ -441,11 +468,15 @@ class A1111MetadataParser(MetadataParser):
 
         if len(self.loras) > 0:
             lora_hashes = []
+            lora_weights = []
             for index, (lora_name, lora_weight, lora_hash) in enumerate(self.loras):
                 # workaround for Fooocus not knowing LoRA name in LoRA metadata
-                lora_hashes.append(f'{lora_name}: {lora_hash}: {lora_weight}')
+                lora_hashes.append(f'{lora_name}: {lora_hash}')
+                lora_weights.append(f'{lora_name}: {lora_weight}')
             lora_hashes_string = ', '.join(lora_hashes)
+            lora_weights_string = ', '.join(lora_weights)
             generation_params[self.fooocus_to_a1111['lora_hashes']] = lora_hashes_string
+            generation_params[self.fooocus_to_a1111['lora_weights']] = lora_weights_string
 
         generation_params[self.fooocus_to_a1111['version']] = data['version']
 
@@ -468,9 +499,7 @@ class FooocusMetadataParser(MetadataParser):
     def parse_json(self, metadata: dict) -> dict:
         model_filenames = modules.config.model_filenames.copy()
         lora_filenames = modules.config.lora_filenames.copy()
-        if modules.config.sdxl_lcm_lora in lora_filenames:
-            lora_filenames.remove(modules.config.sdxl_lcm_lora)
-
+        self.remove_special_loras(lora_filenames)
         for key, value in metadata.items():
             if value in ['', 'None']:
                 continue
diff --git a/modules/model_loader.py b/modules/model_loader.py
index 8ba336a9..1143f75e 100644
--- a/modules/model_loader.py
+++ b/modules/model_loader.py
@@ -14,6 +14,8 @@ def load_file_from_url(
 
     Returns the path to the downloaded file.
     """
+    domain = os.environ.get("HF_MIRROR", "https://huggingface.co").rstrip('/')
+    url = str.replace(url, "https://huggingface.co", domain, 1)
     os.makedirs(model_dir, exist_ok=True)
     if not file_name:
         parts = urlparse(url)
diff --git a/modules/util.py b/modules/util.py
index 7c46d946..9e0fb294 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -7,9 +7,9 @@ import math
 import os
 import cv2
 import json
+import hashlib
 
 from PIL import Image
-from hashlib import sha256
 
 import modules.sdxl_styles
 
@@ -182,16 +182,44 @@ def get_files_from_folder(folder_path, extensions=None, name_filter=None):
     return filenames
 
 
-def calculate_sha256(filename, length=HASH_SHA256_LENGTH) -> str:
-    hash_sha256 = sha256()
+def sha256(filename, use_addnet_hash=False, length=HASH_SHA256_LENGTH):
+    print(f"Calculating sha256 for {filename}: ", end='')
+    if use_addnet_hash:
+        with open(filename, "rb") as file:
+            sha256_value = addnet_hash_safetensors(file)
+    else:
+        sha256_value = calculate_sha256(filename)
+    print(f"{sha256_value}")
+
+    return sha256_value[:length] if length is not None else sha256_value
+
+
+def addnet_hash_safetensors(b):
+    """kohya-ss hash for safetensors from https://github.com/kohya-ss/sd-scripts/blob/main/library/train_util.py"""
+    hash_sha256 = hashlib.sha256()
+    blksize = 1024 * 1024
+
+    b.seek(0)
+    header = b.read(8)
+    n = int.from_bytes(header, "little")
+
+    offset = n + 8
+    b.seek(offset)
+    for chunk in iter(lambda: b.read(blksize), b""):
+        hash_sha256.update(chunk)
+
+    return hash_sha256.hexdigest()
+
+
+def calculate_sha256(filename) -> str:
+    hash_sha256 = hashlib.sha256()
     blksize = 1024 * 1024
 
     with open(filename, "rb") as f:
         for chunk in iter(lambda: f.read(blksize), b""):
             hash_sha256.update(chunk)
 
-    res = hash_sha256.hexdigest()
-    return res[:length] if length else res
+    return hash_sha256.hexdigest()
 
 
 def quote(text):
diff --git a/readme.md b/readme.md
index 5f66e02a..0ec06f19 100644
--- a/readme.md
+++ b/readme.md
@@ -368,6 +368,7 @@ A safer way is just to try "run_anime.bat" or "run_realistic.bat" - they should
 entry_with_update.py  [-h] [--listen [IP]] [--port PORT]
                       [--disable-header-check [ORIGIN]]
                       [--web-upload-size WEB_UPLOAD_SIZE]
+                      [--hf-mirror HF_MIRROR]
                       [--external-working-path PATH [PATH ...]]
                       [--output-path OUTPUT_PATH] [--temp-path TEMP_PATH]
                       [--cache-path CACHE_PATH] [--in-browser]
diff --git a/update_log.md b/update_log.md
index 4e22db0a..62c4882b 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,10 @@
+# [2.3.1](https://github.com/lllyasviel/Fooocus/releases/tag/2.3.1)
+
+* Remove positive prompt from anime prefix to not reset prompt after switching presets
+* Fix image number being reset to 1 when switching preset, now doesn't reset anymore
+* Fix outpainting dimension calculation when extending left/right
+* Fix LoRA compatibility for LoRAs in a1111 metadata scheme
+
 # [2.3.0](https://github.com/lllyasviel/Fooocus/releases/tag/2.3.0)
 
 * Add performance "lightning" (based on [SDXL-Lightning 4 step LoRA](https://huggingface.co/ByteDance/SDXL-Lightning/blob/main/sdxl_lightning_4step_lora.safetensors))

From 1dff430d4c089fb3bee6287f9371d0926352fb54 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 6 Apr 2024 15:27:35 +0200
Subject: [PATCH 120/180] feat: update interposer from v3.1 to v4.0 (#2717)

* fix: load image number from preset (#2611)

* fix: add default_image_number to preset handling

* fix: use minimum image number of preset and config to prevent UI overflow

* fix: use correct base dimensions for outpaint mask padding (#2612)

* fix: add Civitai compatibility for LoRAs in a1111 metadata scheme by switching schema (#2615)

* feat: update sha256 generation functions

https://github.com/lllyasviel/stable-diffusion-webui-forge/blob/29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7/modules/hashes.py

* feat: add compatibility for LoRAs in a1111 metadata scheme

* feat: add backwards compatibility

* refactor: extract remove_special_loras

* fix: correctly apply LoRA weight for legacy schema

* docs: bump version number to 2.3.1, add changelog (#2616)

* feat: update interposer vrom v3.1 to v4.0
---
 extras/vae_interpose.py | 98 ++++++++++++++++++++++++-----------------
 launch.py               |  4 +-
 2 files changed, 59 insertions(+), 43 deletions(-)

diff --git a/extras/vae_interpose.py b/extras/vae_interpose.py
index 72fb09a4..d407ca83 100644
--- a/extras/vae_interpose.py
+++ b/extras/vae_interpose.py
@@ -1,69 +1,85 @@
 # https://github.com/city96/SD-Latent-Interposer/blob/main/interposer.py
 
 import os
-import torch
-import safetensors.torch as sf
-import torch.nn as nn
-import ldm_patched.modules.model_management
 
+import safetensors.torch as sf
+import torch
+import torch.nn as nn
+
+import ldm_patched.modules.model_management
 from ldm_patched.modules.model_patcher import ModelPatcher
 from modules.config import path_vae_approx
 
 
-class Block(nn.Module):
-    def __init__(self, size):
+class ResBlock(nn.Module):
+    """Block with residuals"""
+
+    def __init__(self, ch):
         super().__init__()
         self.join = nn.ReLU()
+        self.norm = nn.BatchNorm2d(ch)
         self.long = nn.Sequential(
-            nn.Conv2d(size, size, kernel_size=3, stride=1, padding=1),
-            nn.LeakyReLU(0.1),
-            nn.Conv2d(size, size, kernel_size=3, stride=1, padding=1),
-            nn.LeakyReLU(0.1),
-            nn.Conv2d(size, size, kernel_size=3, stride=1, padding=1),
+            nn.Conv2d(ch, ch, kernel_size=3, stride=1, padding=1),
+            nn.SiLU(),
+            nn.Conv2d(ch, ch, kernel_size=3, stride=1, padding=1),
+            nn.SiLU(),
+            nn.Conv2d(ch, ch, kernel_size=3, stride=1, padding=1),
+            nn.Dropout(0.1)
         )
 
     def forward(self, x):
-        y = self.long(x)
-        z = self.join(y + x)
-        return z
+        x = self.norm(x)
+        return self.join(self.long(x) + x)
 
 
-class Interposer(nn.Module):
-    def __init__(self):
+class ExtractBlock(nn.Module):
+    """Increase no. of channels by [out/in]"""
+
+    def __init__(self, ch_in, ch_out):
         super().__init__()
-        self.chan = 4
-        self.hid = 128
-
-        self.head_join = nn.ReLU()
-        self.head_short = nn.Conv2d(self.chan, self.hid, kernel_size=3, stride=1, padding=1)
-        self.head_long = nn.Sequential(
-            nn.Conv2d(self.chan, self.hid, kernel_size=3, stride=1, padding=1),
-            nn.LeakyReLU(0.1),
-            nn.Conv2d(self.hid, self.hid, kernel_size=3, stride=1, padding=1),
-            nn.LeakyReLU(0.1),
-            nn.Conv2d(self.hid, self.hid, kernel_size=3, stride=1, padding=1),
-        )
-        self.core = nn.Sequential(
-            Block(self.hid),
-            Block(self.hid),
-            Block(self.hid),
-        )
-        self.tail = nn.Sequential(
-            nn.ReLU(),
-            nn.Conv2d(self.hid, self.chan, kernel_size=3, stride=1, padding=1)
+        self.join = nn.ReLU()
+        self.short = nn.Conv2d(ch_in, ch_out, kernel_size=3, stride=1, padding=1)
+        self.long = nn.Sequential(
+            nn.Conv2d(ch_in, ch_out, kernel_size=3, stride=1, padding=1),
+            nn.SiLU(),
+            nn.Conv2d(ch_out, ch_out, kernel_size=3, stride=1, padding=1),
+            nn.SiLU(),
+            nn.Conv2d(ch_out, ch_out, kernel_size=3, stride=1, padding=1),
+            nn.Dropout(0.1)
         )
 
     def forward(self, x):
-        y = self.head_join(
-            self.head_long(x) +
-            self.head_short(x)
+        return self.join(self.long(x) + self.short(x))
+
+
+class InterposerModel(nn.Module):
+    """Main neural network"""
+
+    def __init__(self, ch_in=4, ch_out=4, ch_mid=64, scale=1.0, blocks=12):
+        super().__init__()
+        self.ch_in = ch_in
+        self.ch_out = ch_out
+        self.ch_mid = ch_mid
+        self.blocks = blocks
+        self.scale = scale
+
+        self.head = ExtractBlock(self.ch_in, self.ch_mid)
+        self.core = nn.Sequential(
+            nn.Upsample(scale_factor=self.scale, mode="nearest"),
+            *[ResBlock(self.ch_mid) for _ in range(blocks)],
+            nn.BatchNorm2d(self.ch_mid),
+            nn.SiLU(),
         )
+        self.tail = nn.Conv2d(self.ch_mid, self.ch_out, kernel_size=3, stride=1, padding=1)
+
+    def forward(self, x):
+        y = self.head(x)
         z = self.core(y)
         return self.tail(z)
 
 
 vae_approx_model = None
-vae_approx_filename = os.path.join(path_vae_approx, 'xl-to-v1_interposer-v3.1.safetensors')
+vae_approx_filename = os.path.join(path_vae_approx, 'xl-to-v1_interposer-v4.0.safetensors')
 
 
 def parse(x):
@@ -72,7 +88,7 @@ def parse(x):
     x_origin = x.clone()
 
     if vae_approx_model is None:
-        model = Interposer()
+        model = InterposerModel()
         model.eval()
         sd = sf.load_file(vae_approx_filename)
         model.load_state_dict(sd)
diff --git a/launch.py b/launch.py
index 5c865e6d..5d40cc5b 100644
--- a/launch.py
+++ b/launch.py
@@ -62,8 +62,8 @@ def prepare_environment():
 vae_approx_filenames = [
     ('xlvaeapp.pth', 'https://huggingface.co/lllyasviel/misc/resolve/main/xlvaeapp.pth'),
     ('vaeapp_sd15.pth', 'https://huggingface.co/lllyasviel/misc/resolve/main/vaeapp_sd15.pt'),
-    ('xl-to-v1_interposer-v3.1.safetensors',
-     'https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors')
+    ('xl-to-v1_interposer-v4.0.safetensors',
+     'https://huggingface.co/mashb1t/misc/resolve/main/xl-to-v1_interposer-v4.0.safetensors')
 ]
 
 

From dbf49d323eca159499f23b2c055244144ca8fade Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Wed, 17 Apr 2024 22:23:18 +0200
Subject: [PATCH 121/180] feat: add button to reconnect UI without having to
 reload the page (#2727)

* feat: add button to reconnect UI without having to reload the page

* qa: add missing semicolon
---
 javascript/script.js | 37 +++++++++++++++++++++++++++++++++++++
 language/en.json     |  1 +
 webui.py             | 11 ++++++++++-
 3 files changed, 48 insertions(+), 1 deletion(-)

diff --git a/javascript/script.js b/javascript/script.js
index 9aa0b5c1..d379a783 100644
--- a/javascript/script.js
+++ b/javascript/script.js
@@ -122,6 +122,43 @@ document.addEventListener("DOMContentLoaded", function() {
     initStylePreviewOverlay();
 });
 
+var onAppend = function(elem, f) {
+    var observer = new MutationObserver(function(mutations) {
+        mutations.forEach(function(m) {
+            if (m.addedNodes.length) {
+                f(m.addedNodes);
+            }
+        });
+    });
+    observer.observe(elem, {childList: true});
+}
+
+function addObserverIfDesiredNodeAvailable(querySelector, callback) {
+    var elem = document.querySelector(querySelector);
+    if (!elem) {
+        window.setTimeout(() => addObserverIfDesiredNodeAvailable(querySelector, callback), 1000);
+        return;
+    }
+
+    onAppend(elem, callback);
+}
+
+/**
+ * Show reset button on toast "Connection errored out."
+ */
+addObserverIfDesiredNodeAvailable(".toast-wrap", function(added) {
+    added.forEach(function(element) {
+         if (element.innerText.includes("Connection errored out.")) {
+             window.setTimeout(function() {
+                document.getElementById("reset_button").classList.remove("hidden");
+                document.getElementById("generate_button").classList.add("hidden");
+                document.getElementById("skip_button").classList.add("hidden");
+                document.getElementById("stop_button").classList.add("hidden");
+            });
+         }
+    });
+});
+
 /**
  * Add a ctrl+enter as a shortcut to start a generation
  */
diff --git a/language/en.json b/language/en.json
index fefc79c4..d10c29dc 100644
--- a/language/en.json
+++ b/language/en.json
@@ -4,6 +4,7 @@
     "Generate": "Generate",
     "Skip": "Skip",
     "Stop": "Stop",
+    "Reconnect and Reset UI": "Reconnect and Reset UI",
     "Input Image": "Input Image",
     "Advanced": "Advanced",
     "Upscale or Variation": "Upscale or Variation",
diff --git a/webui.py b/webui.py
index 98780bff..ababb8b0 100644
--- a/webui.py
+++ b/webui.py
@@ -123,8 +123,9 @@ with shared.gradio_root:
 
                 with gr.Column(scale=3, min_width=0):
                     generate_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', elem_id='generate_button', visible=True)
+                    reset_button = gr.Button(label="Reconnect and Reset UI", value="Reconnect and Reset UI", elem_classes='type_row', elem_id='reset_button', visible=False)
                     load_parameter_button = gr.Button(label="Load Parameters", value="Load Parameters", elem_classes='type_row', elem_id='load_parameter_button', visible=False)
-                    skip_button = gr.Button(label="Skip", value="Skip", elem_classes='type_row_half', visible=False)
+                    skip_button = gr.Button(label="Skip", value="Skip", elem_classes='type_row_half', elem_id='skip_button', visible=False)
                     stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row_half', elem_id='stop_button', visible=False)
 
                     def stop_clicked(currentTask):
@@ -688,6 +689,14 @@ with shared.gradio_root:
             .then(fn=update_history_link, outputs=history_link) \
             .then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed')
 
+        reset_button.click(lambda: [worker.AsyncTask(args=[]), False, gr.update(visible=True, interactive=True)] +
+                                   [gr.update(visible=False)] * 6 +
+                                   [gr.update(visible=True, value=[])],
+                           outputs=[currentTask, state_is_generating, generate_button,
+                                    reset_button, stop_button, skip_button,
+                                    progress_html, progress_window, progress_gallery, gallery],
+                           queue=False)
+
         for notification_file in ['notification.ogg', 'notification.mp3']:
             if os.path.exists(notification_file):
                 gr.Audio(interactive=False, value=notification_file, elem_id='audio_notification', visible=False)

From d16a54edd69f82158ae7ffe5669618db33a01ac7 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Wed, 1 May 2024 14:11:38 +0200
Subject: [PATCH 122/180] fix: use LF as line breaks for Docker entrypoint.sh
 (#2843)

adjusted for Linux again, see https://github.com/lllyasviel/Fooocus/discussions/2836
---
 entrypoint.sh | 34 +---------------------------------
 1 file changed, 1 insertion(+), 33 deletions(-)

diff --git a/entrypoint.sh b/entrypoint.sh
index d0dba09c..57b06c6b 100755
--- a/entrypoint.sh
+++ b/entrypoint.sh
@@ -1,33 +1 @@
-#!/bin/bash
-
-ORIGINALDIR=/content/app
-# Use predefined DATADIR if it is defined
-[[ x"${DATADIR}" == "x" ]] && DATADIR=/content/data
-
-# Make persistent dir from original dir
-function mklink () {
-	mkdir -p $DATADIR/$1
-	ln -s $DATADIR/$1 $ORIGINALDIR
-}
-
-# Copy old files from import dir
-function import () {
-	(test -d /import/$1 && cd /import/$1 && cp -Rpn . $DATADIR/$1/)
-}
-
-cd $ORIGINALDIR
-
-# models
-mklink models
-# Copy original files
-(cd $ORIGINALDIR/models.org && cp -Rpn . $ORIGINALDIR/models/)
-# Import old files
-import models
-
-# outputs
-mklink outputs
-# Import old files
-import outputs
-
-# Start application
-python launch.py $*
+#!/bin/bash

ORIGINALDIR=/content/app
# Use predefined DATADIR if it is defined
[[ x"${DATADIR}" == "x" ]] && DATADIR=/content/data

# Make persistent dir from original dir
function mklink () {
	mkdir -p $DATADIR/$1
	ln -s $DATADIR/$1 $ORIGINALDIR
}

# Copy old files from import dir
function import () {
	(test -d /import/$1 && cd /import/$1 && cp -Rpn . $DATADIR/$1/)
}

cd $ORIGINALDIR

# models
mklink models
# Copy original files
(cd $ORIGINALDIR/models.org && cp -Rpn . $ORIGINALDIR/models/)
# Import old files
import models

# outputs
mklink outputs
# Import old files
import outputs

# Start application
python launch.py $*
\ No newline at end of file

From c36e951781b17b36657369854a10664b5c09b118 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 4 May 2024 14:37:40 +0200
Subject: [PATCH 123/180] Revert "fix: use LF as line breaks for Docker
 entrypoint.sh (#2843)" (#2865)

False alarm, worked as intended before. Sorry for the fuzz.
This reverts commit d16a54edd69f82158ae7ffe5669618db33a01ac7.
---
 entrypoint.sh | 34 +++++++++++++++++++++++++++++++++-
 1 file changed, 33 insertions(+), 1 deletion(-)

diff --git a/entrypoint.sh b/entrypoint.sh
index 57b06c6b..d0dba09c 100755
--- a/entrypoint.sh
+++ b/entrypoint.sh
@@ -1 +1,33 @@
-#!/bin/bash

ORIGINALDIR=/content/app
# Use predefined DATADIR if it is defined
[[ x"${DATADIR}" == "x" ]] && DATADIR=/content/data

# Make persistent dir from original dir
function mklink () {
	mkdir -p $DATADIR/$1
	ln -s $DATADIR/$1 $ORIGINALDIR
}

# Copy old files from import dir
function import () {
	(test -d /import/$1 && cd /import/$1 && cp -Rpn . $DATADIR/$1/)
}

cd $ORIGINALDIR

# models
mklink models
# Copy original files
(cd $ORIGINALDIR/models.org && cp -Rpn . $ORIGINALDIR/models/)
# Import old files
import models

# outputs
mklink outputs
# Import old files
import outputs

# Start application
python launch.py $*
\ No newline at end of file
+#!/bin/bash
+
+ORIGINALDIR=/content/app
+# Use predefined DATADIR if it is defined
+[[ x"${DATADIR}" == "x" ]] && DATADIR=/content/data
+
+# Make persistent dir from original dir
+function mklink () {
+	mkdir -p $DATADIR/$1
+	ln -s $DATADIR/$1 $ORIGINALDIR
+}
+
+# Copy old files from import dir
+function import () {
+	(test -d /import/$1 && cd /import/$1 && cp -Rpn . $DATADIR/$1/)
+}
+
+cd $ORIGINALDIR
+
+# models
+mklink models
+# Copy original files
+(cd $ORIGINALDIR/models.org && cp -Rpn . $ORIGINALDIR/models/)
+# Import old files
+import models
+
+# outputs
+mklink outputs
+# Import old files
+import outputs
+
+# Start application
+python launch.py $*

From c32bc5e199f7a0a45736f10c248cd1955433a609 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 9 May 2024 18:59:35 +0200
Subject: [PATCH 124/180] feat: add optional model VAE select (#2867)

* Revert "fix: use LF as line breaks for Docker entrypoint.sh (#2843)" (#2865)

False alarm, worked as intended before. Sorry for the fuzz.
This reverts commit d16a54edd69f82158ae7ffe5669618db33a01ac7.

* feat: add VAE select

* feat: use different default label, add translation

* fix: do not reload model when VAE stays the same

* refactor: code cleanup

* feat: add metadata handling
---
 language/en.json            |  2 ++
 ldm_patched/modules/sd.py   | 13 +++++++++----
 modules/async_worker.py     |  6 ++++--
 modules/config.py           | 14 +++++++++++++-
 modules/core.py             | 10 ++++++----
 modules/default_pipeline.py | 22 ++++++++++++++--------
 modules/flags.py            |  2 ++
 modules/meta_parser.py      | 31 ++++++++++++++++++++++++-------
 modules/util.py             |  3 +++
 webui.py                    | 11 +++++++----
 10 files changed, 84 insertions(+), 30 deletions(-)

diff --git a/language/en.json b/language/en.json
index d10c29dc..1fe78662 100644
--- a/language/en.json
+++ b/language/en.json
@@ -340,6 +340,8 @@
     "sgm_uniform": "sgm_uniform",
     "simple": "simple",
     "ddim_uniform": "ddim_uniform",
+    "VAE": "VAE",
+    "Default (model)": "Default (model)",
     "Forced Overwrite of Sampling Step": "Forced Overwrite of Sampling Step",
     "Set as -1 to disable. For developer debugging.": "Set as -1 to disable. For developer debugging.",
     "Forced Overwrite of Refiner Switch Step": "Forced Overwrite of Refiner Switch Step",
diff --git a/ldm_patched/modules/sd.py b/ldm_patched/modules/sd.py
index e197c39c..282f2559 100644
--- a/ldm_patched/modules/sd.py
+++ b/ldm_patched/modules/sd.py
@@ -427,12 +427,13 @@ def load_checkpoint(config_path=None, ckpt_path=None, output_vae=True, output_cl
 
     return (ldm_patched.modules.model_patcher.ModelPatcher(model, load_device=model_management.get_torch_device(), offload_device=offload_device), clip, vae)
 
-def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, output_clipvision=False, embedding_directory=None, output_model=True):
+def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, output_clipvision=False, embedding_directory=None, output_model=True, vae_filename_param=None):
     sd = ldm_patched.modules.utils.load_torch_file(ckpt_path)
     sd_keys = sd.keys()
     clip = None
     clipvision = None
     vae = None
+    vae_filename = None
     model = None
     model_patcher = None
     clip_target = None
@@ -462,8 +463,12 @@ def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, o
         model.load_model_weights(sd, "model.diffusion_model.")
 
     if output_vae:
-        vae_sd = ldm_patched.modules.utils.state_dict_prefix_replace(sd, {"first_stage_model.": ""}, filter_keys=True)
-        vae_sd = model_config.process_vae_state_dict(vae_sd)
+        if vae_filename_param is None:
+            vae_sd = ldm_patched.modules.utils.state_dict_prefix_replace(sd, {"first_stage_model.": ""}, filter_keys=True)
+            vae_sd = model_config.process_vae_state_dict(vae_sd)
+        else:
+            vae_sd = ldm_patched.modules.utils.load_torch_file(vae_filename_param)
+            vae_filename = vae_filename_param
         vae = VAE(sd=vae_sd)
 
     if output_clip:
@@ -485,7 +490,7 @@ def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, o
             print("loaded straight to GPU")
             model_management.load_model_gpu(model_patcher)
 
-    return (model_patcher, clip, vae, clipvision)
+    return model_patcher, clip, vae, vae_filename, clipvision
 
 
 def load_unet_state_dict(sd): #load unet in diffusers format
diff --git a/modules/async_worker.py b/modules/async_worker.py
index d8a1e072..3576c4ec 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -166,6 +166,7 @@ def worker():
         adaptive_cfg = args.pop()
         sampler_name = args.pop()
         scheduler_name = args.pop()
+        vae_name = args.pop()
         overwrite_step = args.pop()
         overwrite_switch = args.pop()
         overwrite_width = args.pop()
@@ -428,7 +429,7 @@ def worker():
             progressbar(async_task, 3, 'Loading models ...')
             pipeline.refresh_everything(refiner_model_name=refiner_model_name, base_model_name=base_model_name,
                                         loras=loras, base_model_additional_loras=base_model_additional_loras,
-                                        use_synthetic_refiner=use_synthetic_refiner)
+                                        use_synthetic_refiner=use_synthetic_refiner, vae_name=vae_name)
 
             progressbar(async_task, 3, 'Processing prompts ...')
             tasks = []
@@ -869,6 +870,7 @@ def worker():
 
                     d.append(('Sampler', 'sampler', sampler_name))
                     d.append(('Scheduler', 'scheduler', scheduler_name))
+                    d.append(('VAE', 'vae', vae_name))
                     d.append(('Seed', 'seed', str(task['task_seed'])))
 
                     if freeu_enabled:
@@ -883,7 +885,7 @@ def worker():
                         metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
                         metadata_parser.set_data(task['log_positive_prompt'], task['positive'],
                                                  task['log_negative_prompt'], task['negative'],
-                                                 steps, base_model_name, refiner_model_name, loras)
+                                                 steps, base_model_name, refiner_model_name, loras, vae_name)
                     d.append(('Metadata Scheme', 'metadata_scheme', metadata_scheme.value if save_metadata_to_images else save_metadata_to_images))
                     d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
                     img_paths.append(log(x, d, metadata_parser, output_format))
diff --git a/modules/config.py b/modules/config.py
index b81e218a..f11460c8 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -189,6 +189,7 @@ paths_checkpoints = get_dir_or_set_default('path_checkpoints', ['../models/check
 paths_loras = get_dir_or_set_default('path_loras', ['../models/loras/'], True)
 path_embeddings = get_dir_or_set_default('path_embeddings', '../models/embeddings/')
 path_vae_approx = get_dir_or_set_default('path_vae_approx', '../models/vae_approx/')
+path_vae = get_dir_or_set_default('path_vae', '../models/vae/')
 path_upscale_models = get_dir_or_set_default('path_upscale_models', '../models/upscale_models/')
 path_inpaint = get_dir_or_set_default('path_inpaint', '../models/inpaint/')
 path_controlnet = get_dir_or_set_default('path_controlnet', '../models/controlnet/')
@@ -346,6 +347,11 @@ default_scheduler = get_config_item_or_set_default(
     default_value='karras',
     validator=lambda x: x in modules.flags.scheduler_list
 )
+default_vae = get_config_item_or_set_default(
+    key='default_vae',
+    default_value=modules.flags.default_vae,
+    validator=lambda x: isinstance(x, str)
+)
 default_styles = get_config_item_or_set_default(
     key='default_styles',
     default_value=[
@@ -535,6 +541,7 @@ with open(config_example_path, "w", encoding="utf-8") as json_file:
 
 model_filenames = []
 lora_filenames = []
+vae_filenames = []
 wildcard_filenames = []
 
 sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
@@ -546,15 +553,20 @@ def get_model_filenames(folder_paths, extensions=None, name_filter=None):
     if extensions is None:
         extensions = ['.pth', '.ckpt', '.bin', '.safetensors', '.fooocus.patch']
     files = []
+
+    if not isinstance(folder_paths, list):
+        folder_paths = [folder_paths]
     for folder in folder_paths:
         files += get_files_from_folder(folder, extensions, name_filter)
+
     return files
 
 
 def update_files():
-    global model_filenames, lora_filenames, wildcard_filenames, available_presets
+    global model_filenames, lora_filenames, vae_filenames, wildcard_filenames, available_presets
     model_filenames = get_model_filenames(paths_checkpoints)
     lora_filenames = get_model_filenames(paths_loras)
+    vae_filenames = get_model_filenames(path_vae)
     wildcard_filenames = get_files_from_folder(path_wildcards, ['.txt'])
     available_presets = get_presets()
     return
diff --git a/modules/core.py b/modules/core.py
index 38ee8e8d..3ca4cc5b 100644
--- a/modules/core.py
+++ b/modules/core.py
@@ -35,12 +35,13 @@ opModelSamplingDiscrete = ModelSamplingDiscrete()
 
 
 class StableDiffusionModel:
-    def __init__(self, unet=None, vae=None, clip=None, clip_vision=None, filename=None):
+    def __init__(self, unet=None, vae=None, clip=None, clip_vision=None, filename=None, vae_filename=None):
         self.unet = unet
         self.vae = vae
         self.clip = clip
         self.clip_vision = clip_vision
         self.filename = filename
+        self.vae_filename = vae_filename
         self.unet_with_lora = unet
         self.clip_with_lora = clip
         self.visited_loras = ''
@@ -142,9 +143,10 @@ def apply_controlnet(positive, negative, control_net, image, strength, start_per
 
 @torch.no_grad()
 @torch.inference_mode()
-def load_model(ckpt_filename):
-    unet, clip, vae, clip_vision = load_checkpoint_guess_config(ckpt_filename, embedding_directory=path_embeddings)
-    return StableDiffusionModel(unet=unet, clip=clip, vae=vae, clip_vision=clip_vision, filename=ckpt_filename)
+def load_model(ckpt_filename, vae_filename=None):
+    unet, clip, vae, vae_filename, clip_vision = load_checkpoint_guess_config(ckpt_filename, embedding_directory=path_embeddings,
+                                                                vae_filename_param=vae_filename)
+    return StableDiffusionModel(unet=unet, clip=clip, vae=vae, clip_vision=clip_vision, filename=ckpt_filename, vae_filename=vae_filename)
 
 
 @torch.no_grad()
diff --git a/modules/default_pipeline.py b/modules/default_pipeline.py
index 190601ec..38f914c5 100644
--- a/modules/default_pipeline.py
+++ b/modules/default_pipeline.py
@@ -3,6 +3,7 @@ import os
 import torch
 import modules.patch
 import modules.config
+import modules.flags
 import ldm_patched.modules.model_management
 import ldm_patched.modules.latent_formats
 import modules.inpaint_worker
@@ -58,17 +59,21 @@ def assert_model_integrity():
 
 @torch.no_grad()
 @torch.inference_mode()
-def refresh_base_model(name):
+def refresh_base_model(name, vae_name=None):
     global model_base
 
     filename = get_file_from_folder_list(name, modules.config.paths_checkpoints)
 
-    if model_base.filename == filename:
+    vae_filename = None
+    if vae_name is not None and vae_name != modules.flags.default_vae:
+        vae_filename = get_file_from_folder_list(vae_name, modules.config.path_vae)
+
+    if model_base.filename == filename and model_base.vae_filename == vae_filename:
         return
 
-    model_base = core.StableDiffusionModel()
-    model_base = core.load_model(filename)
+    model_base = core.load_model(filename, vae_filename)
     print(f'Base model loaded: {model_base.filename}')
+    print(f'VAE loaded: {model_base.vae_filename}')
     return
 
 
@@ -216,7 +221,7 @@ def prepare_text_encoder(async_call=True):
 @torch.no_grad()
 @torch.inference_mode()
 def refresh_everything(refiner_model_name, base_model_name, loras,
-                       base_model_additional_loras=None, use_synthetic_refiner=False):
+                       base_model_additional_loras=None, use_synthetic_refiner=False, vae_name=None):
     global final_unet, final_clip, final_vae, final_refiner_unet, final_refiner_vae, final_expansion
 
     final_unet = None
@@ -227,11 +232,11 @@ def refresh_everything(refiner_model_name, base_model_name, loras,
 
     if use_synthetic_refiner and refiner_model_name == 'None':
         print('Synthetic Refiner Activated')
-        refresh_base_model(base_model_name)
+        refresh_base_model(base_model_name, vae_name)
         synthesize_refiner_model()
     else:
         refresh_refiner_model(refiner_model_name)
-        refresh_base_model(base_model_name)
+        refresh_base_model(base_model_name, vae_name)
 
     refresh_loras(loras, base_model_additional_loras=base_model_additional_loras)
     assert_model_integrity()
@@ -254,7 +259,8 @@ def refresh_everything(refiner_model_name, base_model_name, loras,
 refresh_everything(
     refiner_model_name=modules.config.default_refiner_model_name,
     base_model_name=modules.config.default_base_model_name,
-    loras=get_enabled_loras(modules.config.default_loras)
+    loras=get_enabled_loras(modules.config.default_loras),
+    vae_name=modules.config.default_vae,
 )
 
 
diff --git a/modules/flags.py b/modules/flags.py
index c9d13fd8..9f2aefb3 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -53,6 +53,8 @@ SAMPLER_NAMES = KSAMPLER_NAMES + list(SAMPLER_EXTRA.keys())
 sampler_list = SAMPLER_NAMES
 scheduler_list = SCHEDULER_NAMES
 
+default_vae = 'Default (model)'
+
 refiner_swap_method = 'joint'
 
 cn_ip = "ImagePrompt"
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 70ab8860..84032e82 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -46,6 +46,7 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
     get_float('refiner_switch', 'Refiner Switch', loaded_parameter_dict, results)
     get_str('sampler', 'Sampler', loaded_parameter_dict, results)
     get_str('scheduler', 'Scheduler', loaded_parameter_dict, results)
+    get_str('vae', 'VAE', loaded_parameter_dict, results)
     get_seed('seed', 'Seed', loaded_parameter_dict, results)
 
     if is_generating:
@@ -253,6 +254,7 @@ class MetadataParser(ABC):
         self.refiner_model_name: str = ''
         self.refiner_model_hash: str = ''
         self.loras: list = []
+        self.vae_name: str = ''
 
     @abstractmethod
     def get_scheme(self) -> MetadataScheme:
@@ -267,7 +269,7 @@ class MetadataParser(ABC):
         raise NotImplementedError
 
     def set_data(self, raw_prompt, full_prompt, raw_negative_prompt, full_negative_prompt, steps, base_model_name,
-                 refiner_model_name, loras):
+                 refiner_model_name, loras, vae_name):
         self.raw_prompt = raw_prompt
         self.full_prompt = full_prompt
         self.raw_negative_prompt = raw_negative_prompt
@@ -289,6 +291,7 @@ class MetadataParser(ABC):
                 lora_path = get_file_from_folder_list(lora_name, modules.config.paths_loras)
                 lora_hash = get_sha256(lora_path)
                 self.loras.append((Path(lora_name).stem, lora_weight, lora_hash))
+        self.vae_name = Path(vae_name).stem
 
     @staticmethod
     def remove_special_loras(lora_filenames):
@@ -310,6 +313,7 @@ class A1111MetadataParser(MetadataParser):
         'steps': 'Steps',
         'sampler': 'Sampler',
         'scheduler': 'Scheduler',
+        'vae': 'VAE',
         'guidance_scale': 'CFG scale',
         'seed': 'Seed',
         'resolution': 'Size',
@@ -397,13 +401,12 @@ class A1111MetadataParser(MetadataParser):
                     data['sampler'] = k
                     break
 
-        for key in ['base_model', 'refiner_model']:
+        for key in ['base_model', 'refiner_model', 'vae']:
             if key in data:
-                for filename in modules.config.model_filenames:
-                    path = Path(filename)
-                    if data[key] == path.stem:
-                        data[key] = filename
-                        break
+                if key == 'vae':
+                    self.add_extension_to_filename(data, modules.config.vae_filenames, 'vae')
+                else:
+                    self.add_extension_to_filename(data, modules.config.model_filenames, key)
 
         lora_data = ''
         if 'lora_weights' in data and data['lora_weights'] != '':
@@ -433,6 +436,7 @@ class A1111MetadataParser(MetadataParser):
 
         sampler = data['sampler']
         scheduler = data['scheduler']
+
         if sampler in SAMPLERS and SAMPLERS[sampler] != '':
             sampler = SAMPLERS[sampler]
             if sampler not in CIVITAI_NO_KARRAS and scheduler == 'karras':
@@ -451,6 +455,7 @@ class A1111MetadataParser(MetadataParser):
 
             self.fooocus_to_a1111['performance']: data['performance'],
             self.fooocus_to_a1111['scheduler']: scheduler,
+            self.fooocus_to_a1111['vae']: Path(data['vae']).stem,
             # workaround for multiline prompts
             self.fooocus_to_a1111['raw_prompt']: self.raw_prompt,
             self.fooocus_to_a1111['raw_negative_prompt']: self.raw_negative_prompt,
@@ -491,6 +496,14 @@ class A1111MetadataParser(MetadataParser):
         negative_prompt_text = f"\nNegative prompt: {negative_prompt_resolved}" if negative_prompt_resolved else ""
         return f"{positive_prompt_resolved}{negative_prompt_text}\n{generation_params_text}".strip()
 
+    @staticmethod
+    def add_extension_to_filename(data, filenames, key):
+        for filename in filenames:
+            path = Path(filename)
+            if data[key] == path.stem:
+                data[key] = filename
+                break
+
 
 class FooocusMetadataParser(MetadataParser):
     def get_scheme(self) -> MetadataScheme:
@@ -499,6 +512,7 @@ class FooocusMetadataParser(MetadataParser):
     def parse_json(self, metadata: dict) -> dict:
         model_filenames = modules.config.model_filenames.copy()
         lora_filenames = modules.config.lora_filenames.copy()
+        vae_filenames = modules.config.vae_filenames.copy()
         self.remove_special_loras(lora_filenames)
         for key, value in metadata.items():
             if value in ['', 'None']:
@@ -507,6 +521,8 @@ class FooocusMetadataParser(MetadataParser):
                 metadata[key] = self.replace_value_with_filename(key, value, model_filenames)
             elif key.startswith('lora_combined_'):
                 metadata[key] = self.replace_value_with_filename(key, value, lora_filenames)
+            elif key == 'vae':
+                metadata[key] = self.replace_value_with_filename(key, value, vae_filenames)
             else:
                 continue
 
@@ -533,6 +549,7 @@ class FooocusMetadataParser(MetadataParser):
             res['refiner_model'] = self.refiner_model_name
             res['refiner_model_hash'] = self.refiner_model_hash
 
+        res['vae'] = self.vae_name
         res['loras'] = self.loras
 
         if modules.config.metadata_created_by != '':
diff --git a/modules/util.py b/modules/util.py
index 9e0fb294..d2feecb6 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -371,6 +371,9 @@ def is_json(data: str) -> bool:
 
 
 def get_file_from_folder_list(name, folders):
+    if not isinstance(folders, list):
+        folders = [folders]
+
     for folder in folders:
         filename = os.path.abspath(os.path.realpath(os.path.join(folder, name)))
         if os.path.isfile(filename):
diff --git a/webui.py b/webui.py
index ababb8b0..eec6054a 100644
--- a/webui.py
+++ b/webui.py
@@ -407,6 +407,8 @@ with shared.gradio_root:
                                                    value=modules.config.default_sampler)
                         scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list,
                                                      value=modules.config.default_scheduler)
+                        vae_name = gr.Dropdown(label='VAE', choices=[modules.flags.default_vae] + modules.config.vae_filenames,
+                                                     value=modules.config.default_vae, show_label=True)
 
                         generate_image_grid = gr.Checkbox(label='Generate Image Grid for Each Batch',
                                                           info='(Experimental) This may cause performance problems on some computers and certain internet conditions.',
@@ -529,6 +531,7 @@ with shared.gradio_root:
                     modules.config.update_files()
                     results = [gr.update(choices=modules.config.model_filenames)]
                     results += [gr.update(choices=['None'] + modules.config.model_filenames)]
+                    results += [gr.update(choices=['None'] + modules.config.vae_filenames)]
                     if not args_manager.args.disable_preset_selection:
                         results += [gr.update(choices=modules.config.available_presets)]
                     for i in range(modules.config.default_max_lora_number):
@@ -536,7 +539,7 @@ with shared.gradio_root:
                                     gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
                     return results
 
-                refresh_files_output = [base_model, refiner_model]
+                refresh_files_output = [base_model, refiner_model, vae_name]
                 if not args_manager.args.disable_preset_selection:
                     refresh_files_output += [preset_selection]
                 refresh_files.click(refresh_files_clicked, [], refresh_files_output + lora_ctrls,
@@ -548,8 +551,8 @@ with shared.gradio_root:
                              performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
                              overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
                              adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
-                             refiner_model, refiner_switch, sampler_name, scheduler_name, seed_random, image_seed,
-                             generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
+                             refiner_model, refiner_switch, sampler_name, scheduler_name, vae_name, seed_random,
+                             image_seed, generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
 
         if not args_manager.args.disable_preset_selection:
             def preset_selection_change(preset, is_generating):
@@ -635,7 +638,7 @@ with shared.gradio_root:
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
         ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment]
         ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
-        ctrls += [sampler_name, scheduler_name]
+        ctrls += [sampler_name, scheduler_name, vae_name]
         ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
         ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]
         ctrls += [debugging_cn_preprocessor, skipping_cn_preprocessor, canny_low_threshold, canny_high_threshold]

From f54364fe4ebd737349611c1d040703b0ac7ace68 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 9 May 2024 19:02:04 +0200
Subject: [PATCH 125/180] feat: add random style checkbox to styles selection
 (#2855)

* feat: add random style

* feat: rename random to random style, add translation

* feat: add preview image for random style
---
 language/en.json                     |   1 +
 modules/async_worker.py              |  11 ++++++++---
 modules/sdxl_styles.py               |  10 ++++++++--
 sdxl_styles/samples/random_style.jpg | Bin 0 -> 1454 bytes
 4 files changed, 17 insertions(+), 5 deletions(-)
 create mode 100644 sdxl_styles/samples/random_style.jpg

diff --git a/language/en.json b/language/en.json
index 1fe78662..20189b28 100644
--- a/language/en.json
+++ b/language/en.json
@@ -58,6 +58,7 @@
     "\ud83d\udcda History Log": "\uD83D\uDCDA History Log",
     "Image Style": "Image Style",
     "Fooocus V2": "Fooocus V2",
+    "Random Style": "Random Style",
     "Default (Slightly Cinematic)": "Default (Slightly Cinematic)",
     "Fooocus Masterpiece": "Fooocus Masterpiece",
     "Fooocus Photograph": "Fooocus Photograph",
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 3576c4ec..432bfe9b 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -43,7 +43,7 @@ def worker():
     import fooocus_version
     import args_manager
 
-    from modules.sdxl_styles import apply_style, apply_wildcards, fooocus_expansion, apply_arrays
+    from modules.sdxl_styles import apply_style, get_random_style, apply_wildcards, fooocus_expansion, apply_arrays, random_style_name
     from modules.private_logger import log
     from extras.expansion import safe_str
     from modules.util import remove_empty_str, HWC3, resize_image, get_image_shape_ceil, set_image_shape_ceil, \
@@ -450,8 +450,12 @@ def worker():
                 positive_basic_workloads = []
                 negative_basic_workloads = []
 
+                task_styles = style_selections.copy()
                 if use_style:
-                    for s in style_selections:
+                    for i, s in enumerate(task_styles):
+                        if s == random_style_name:
+                            s = get_random_style(task_rng)
+                            task_styles[i] = s
                         p, n = apply_style(s, positive=task_prompt)
                         positive_basic_workloads = positive_basic_workloads + p
                         negative_basic_workloads = negative_basic_workloads + n
@@ -479,6 +483,7 @@ def worker():
                     negative_top_k=len(negative_basic_workloads),
                     log_positive_prompt='\n'.join([task_prompt] + task_extra_positive_prompts),
                     log_negative_prompt='\n'.join([task_negative_prompt] + task_extra_negative_prompts),
+                    styles=task_styles
                 ))
 
             if use_expansion:
@@ -843,7 +848,7 @@ def worker():
                     d = [('Prompt', 'prompt', task['log_positive_prompt']),
                          ('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),
                          ('Fooocus V2 Expansion', 'prompt_expansion', task['expansion']),
-                         ('Styles', 'styles', str(raw_style_selections)),
+                         ('Styles', 'styles', str(task['styles'] if not use_expansion else [fooocus_expansion] + task['styles'])),
                          ('Performance', 'performance', performance_selection.value)]
 
                     if performance_selection.steps() != steps:
diff --git a/modules/sdxl_styles.py b/modules/sdxl_styles.py
index 77ad6b57..5b6afb59 100644
--- a/modules/sdxl_styles.py
+++ b/modules/sdxl_styles.py
@@ -5,6 +5,7 @@ import math
 import modules.config
 
 from modules.util import get_files_from_folder
+from random import Random
 
 # cannot use modules.config - validators causing circular imports
 styles_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../sdxl_styles/'))
@@ -50,8 +51,13 @@ for styles_file in styles_files:
         print(f'Failed to load style file {styles_file}')
 
 style_keys = list(styles.keys())
-fooocus_expansion = "Fooocus V2"
-legal_style_names = [fooocus_expansion] + style_keys
+fooocus_expansion = 'Fooocus V2'
+random_style_name = 'Random Style'
+legal_style_names = [fooocus_expansion, random_style_name] + style_keys
+
+
+def get_random_style(rng: Random) -> str:
+    return rng.choice(list(styles.items()))[0]
 
 
 def apply_style(style, positive):
diff --git a/sdxl_styles/samples/random_style.jpg b/sdxl_styles/samples/random_style.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..9f685108fdcf78409e488d79cc2c245fec3ad06e
GIT binary patch
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literal 0
HcmV?d00001


From 6308fb8b54f62e61711aa57b086b30466ebbb857 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 9 May 2024 19:03:30 +0200
Subject: [PATCH 126/180] feat: update anime from animaPencilXL_v100 to
 animaPencilXL_v310 (#2454)

* feat: update anime from animaPencilXL_v100 to animaPencilXL_v200

* feat: update animaPencilXL from 2.0.0 to 2.6.0

* feat: update animaPencilXL from 2.6.0 to 3.1.0

* feat: reduce cfg as suggested by vendor from 3.0.0

https://civitai.com/models/261336?modelVersionId=435001
"recommend to decrease CFG scale." + all examples are in CFG 6
---
 presets/anime.json | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/presets/anime.json b/presets/anime.json
index 2610677c..78607edb 100644
--- a/presets/anime.json
+++ b/presets/anime.json
@@ -1,5 +1,5 @@
 {
-    "default_model": "animaPencilXL_v100.safetensors",
+    "default_model": "animaPencilXL_v310.safetensors",
     "default_refiner": "None",
     "default_refiner_switch": 0.5,
     "default_loras": [
@@ -29,7 +29,7 @@
             1.0
         ]
     ],
-    "default_cfg_scale": 7.0,
+    "default_cfg_scale": 6.0,
     "default_sample_sharpness": 2.0,
     "default_sampler": "dpmpp_2m_sde_gpu",
     "default_scheduler": "karras",
@@ -43,9 +43,15 @@
     ],
     "default_aspect_ratio": "896*1152",
     "checkpoint_downloads": {
-        "animaPencilXL_v100.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/animaPencilXL_v100.safetensors"
+        "animaPencilXL_v310.safetensors": "https://huggingface.co/mashb1t/fav_models/resolve/main/fav/animaPencilXL_v310.safetensors"
     },
     "embeddings_downloads": {},
     "lora_downloads": {},
-    "previous_default_models": []
+    "previous_default_models": [
+        "animaPencilXL_v300.safetensors",
+        "animaPencilXL_v260.safetensors",
+        "animaPencilXL_v210.safetensors",
+        "animaPencilXL_v200.safetensors",
+        "animaPencilXL_v100.safetensors"
+    ]
 }
\ No newline at end of file

From 052393bb9bfa6fe66d1f8d3fdf8da38605998eff Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 9 May 2024 19:13:59 +0200
Subject: [PATCH 127/180] refactor: rename label for reconnect button (#2893)

* feat: add button to reconnect UI without having to reload the page

* qa: add missing semicolon

* refactor: rename button label to "Reconnect"
---
 language/en.json | 2 +-
 webui.py         | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/language/en.json b/language/en.json
index 20189b28..e9cd6b73 100644
--- a/language/en.json
+++ b/language/en.json
@@ -4,7 +4,7 @@
     "Generate": "Generate",
     "Skip": "Skip",
     "Stop": "Stop",
-    "Reconnect and Reset UI": "Reconnect and Reset UI",
+    "Reconnect": "Reconnect",
     "Input Image": "Input Image",
     "Advanced": "Advanced",
     "Upscale or Variation": "Upscale or Variation",
diff --git a/webui.py b/webui.py
index eec6054a..85b2c0df 100644
--- a/webui.py
+++ b/webui.py
@@ -123,7 +123,7 @@ with shared.gradio_root:
 
                 with gr.Column(scale=3, min_width=0):
                     generate_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', elem_id='generate_button', visible=True)
-                    reset_button = gr.Button(label="Reconnect and Reset UI", value="Reconnect and Reset UI", elem_classes='type_row', elem_id='reset_button', visible=False)
+                    reset_button = gr.Button(label="Reconnect", value="Reconnect", elem_classes='type_row', elem_id='reset_button', visible=False)
                     load_parameter_button = gr.Button(label="Load Parameters", value="Load Parameters", elem_classes='type_row', elem_id='load_parameter_button', visible=False)
                     skip_button = gr.Button(label="Skip", value="Skip", elem_classes='type_row_half', elem_id='skip_button', visible=False)
                     stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row_half', elem_id='stop_button', visible=False)

From bdd6b1a9b0b182ce62c20642e4c6bd8acec0e4c3 Mon Sep 17 00:00:00 2001
From: docppp <29142757+docppp@users.noreply.github.com>
Date: Thu, 9 May 2024 20:25:43 +0200
Subject: [PATCH 128/180] feat: add full raw prompt to history log (#1920)

* Update async_worker.py

* Update private_logger.py

* refactor: only show full prompt details in logs, exclude from image metadata

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <dev@mash1t.de>
---
 modules/async_worker.py   |  2 +-
 modules/private_logger.py | 10 ++++++++--
 2 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 432bfe9b..cde99bdc 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -893,7 +893,7 @@ def worker():
                                                  steps, base_model_name, refiner_model_name, loras, vae_name)
                     d.append(('Metadata Scheme', 'metadata_scheme', metadata_scheme.value if save_metadata_to_images else save_metadata_to_images))
                     d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
-                    img_paths.append(log(x, d, metadata_parser, output_format))
+                    img_paths.append(log(x, d, metadata_parser, output_format, task))
 
                 yield_result(async_task, img_paths, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
             except ldm_patched.modules.model_management.InterruptProcessingException as e:
diff --git a/modules/private_logger.py b/modules/private_logger.py
index edd9457d..eb8f0cc5 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -21,7 +21,7 @@ def get_current_html_path(output_format=None):
     return html_name
 
 
-def log(img, metadata, metadata_parser: MetadataParser | None = None, output_format=None) -> str:
+def log(img, metadata, metadata_parser: MetadataParser | None = None, output_format=None, task=None) -> str:
     path_outputs = modules.config.temp_path if args_manager.args.disable_image_log else modules.config.path_outputs
     output_format = output_format if output_format else modules.config.default_output_format
     date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension=output_format)
@@ -111,9 +111,15 @@ def log(img, metadata, metadata_parser: MetadataParser | None = None, output_for
     for label, key, value in metadata:
         value_txt = str(value).replace('\n', ' </br> ')
         item += f"<tr><td class='label'>{label}</td><td class='value'>{value_txt}</td></tr>\n"
+
+    if task is not None and 'positive' in task and 'negative' in task:
+        full_prompt_details = f"""<details><summary>Positive</summary>{', '.join(task['positive'])}</details>
+        <details><summary>Negative</summary>{', '.join(task['negative'])}</details>"""
+        item += f"<tr><td class='label'>Full raw prompt</td><td class='value'>{full_prompt_details}</td></tr>\n"
+
     item += "</table>"
 
-    js_txt = urllib.parse.quote(json.dumps({k: v for _, k, v in metadata}, indent=0), safe='')
+    js_txt = urllib.parse.quote(json.dumps({k: v for _, k, v, in metadata}, indent=0), safe='')
     item += f"</br><button onclick=\"to_clipboard('{js_txt}')\">Copy to Clipboard</button>"
 
     item += "</td>"

From 96bf89f782376544f4f7f20492c5ae0d6a82001f Mon Sep 17 00:00:00 2001
From: Vishvesh Khanvilkar
 <158825962+khanvilkarvishvesh@users.noreply.github.com>
Date: Fri, 17 May 2024 20:48:45 +0530
Subject: [PATCH 129/180] fix: use correct border radius css property (#2845)

---
 css/style.css | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/css/style.css b/css/style.css
index c702a725..b9e6e2ce 100644
--- a/css/style.css
+++ b/css/style.css
@@ -391,6 +391,6 @@ progress::after {
   background-color: #fff8;
   font-family: monospace;
   text-align: center;
-  border-radius-top: 5px;
+  border-radius: 5px 5px 0px 0px;
   display: none; /* remove this to enable tooltip in preview image */
 }
\ No newline at end of file

From 5e594685e1f86ffaf4b10d6ca7f11742daca4a84 Mon Sep 17 00:00:00 2001
From: e52fa787 <31095594+e52fa787@users.noreply.github.com>
Date: Fri, 17 May 2024 23:25:56 +0800
Subject: [PATCH 130/180] fix: do not close meta tag in HTML header (#2740)

* fixed typo in HTML (extra </meta> tag)

* refactor: remove closing slash for meta tag

as of specification in https://html.com/tags/meta/, meta tagas are null elements:
This element must not contain any content, and does not need a closing tag.

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
---
 modules/ui_gradio_extensions.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/ui_gradio_extensions.py b/modules/ui_gradio_extensions.py
index bebf9f8c..409c7e33 100644
--- a/modules/ui_gradio_extensions.py
+++ b/modules/ui_gradio_extensions.py
@@ -39,7 +39,7 @@ def javascript_html():
     head += f'<script type="text/javascript" src="{edit_attention_js_path}"></script>\n'
     head += f'<script type="text/javascript" src="{viewer_js_path}"></script>\n'
     head += f'<script type="text/javascript" src="{image_viewer_js_path}"></script>\n'
-    head += f'<meta name="samples-path" content="{samples_path}"></meta>\n'
+    head += f'<meta name="samples-path" content="{samples_path}">\n'
 
     if args_manager.args.theme:
         head += f'<script type="text/javascript">set_theme(\"{args_manager.args.theme}\");</script>\n'

From 33fa175bd438041fe4ae715adc9a06d025a940b3 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Fri, 17 May 2024 18:25:08 +0200
Subject: [PATCH 131/180] feat: automatically describe image on uov image
 upload (#1938)

* feat: automatically describe image on uov image upload if prompt is empty

* feat: add argument to disable automatic uov image description

* feat: rename argument, disable by default

this prevents computers with low hardware specifications from being unnecessary blocked
---
 args_manager.py | 3 +++
 webui.py        | 9 +++++++++
 2 files changed, 12 insertions(+)

diff --git a/args_manager.py b/args_manager.py
index 6a3ae9dc..e023da27 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -31,6 +31,9 @@ args_parser.parser.add_argument("--disable-metadata", action='store_true',
 args_parser.parser.add_argument("--disable-preset-download", action='store_true',
                                 help="Disables downloading models for presets", default=False)
 
+args_parser.parser.add_argument("--enable-describe-uov-image", action='store_true',
+                                help="Disables automatic description of uov images when prompt is empty", default=False)
+
 args_parser.parser.add_argument("--always-download-new-model", action='store_true',
                                 help="Always download newer models ", default=False)
 
diff --git a/webui.py b/webui.py
index 85b2c0df..f99ab159 100644
--- a/webui.py
+++ b/webui.py
@@ -717,6 +717,15 @@ with shared.gradio_root:
         desc_btn.click(trigger_describe, inputs=[desc_method, desc_input_image],
                        outputs=[prompt, style_selections], show_progress=True, queue=True)
 
+        if args_manager.args.enable_describe_uov_image:
+            def trigger_uov_describe(mode, img, prompt):
+                # keep prompt if not empty
+                if prompt == '':
+                    return trigger_describe(mode, img)
+                return gr.update(), gr.update()
+
+            uov_input_image.upload(trigger_uov_describe, inputs=[desc_method, uov_input_image, prompt],
+                           outputs=[prompt, style_selections], show_progress=True, queue=True)
 
 def dump_default_english_config():
     from modules.localization import dump_english_config

From 00d3d1b4b31b2effa32f6eb96f8e5caf6368f8e3 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 18 May 2024 15:50:28 +0200
Subject: [PATCH 132/180] feat: add nsfw image censoring via config and
 checkbox (#958)

* add nsfw image censoring

activatable via config, uses CompVis/stable-diffusion-safety-checker

* fix progressbar call for nsfw output

* use config to set cache dir for safety checker

* add checkbox black_out_nsfw

makes both enabling via config and checkbox possible, where config overrides the checkbox value

* fix: add missing diffusers package

* feat: extract safety checker, remove dependency to diffusers

* feat: make code compatible again after merge with main

* feat: move censor to extras, optimize safety checker file handling

* refactor: rename folder safety_checker_models to safety_checker
---
 extras/censor.py                              |  56 ++++++
 extras/safety_checker/configs/config.json     | 171 ++++++++++++++++++
 .../configs/preprocessor_config.json          |  20 ++
 .../safety_checker/models/safety_checker.py   | 126 +++++++++++++
 language/en.json                              |   2 +
 .../put_safety_checker_models_here            |   0
 modules/async_worker.py                       |  32 +++-
 modules/config.py                             |  14 ++
 webui.py                                      |  14 +-
 9 files changed, 424 insertions(+), 11 deletions(-)
 create mode 100644 extras/censor.py
 create mode 100644 extras/safety_checker/configs/config.json
 create mode 100644 extras/safety_checker/configs/preprocessor_config.json
 create mode 100644 extras/safety_checker/models/safety_checker.py
 create mode 100644 models/safety_checker/put_safety_checker_models_here

diff --git a/extras/censor.py b/extras/censor.py
new file mode 100644
index 00000000..2047db24
--- /dev/null
+++ b/extras/censor.py
@@ -0,0 +1,56 @@
+# modified version of https://github.com/AUTOMATIC1111/stable-diffusion-webui-nsfw-censor/blob/master/scripts/censor.py
+import numpy as np
+import os
+
+from extras.safety_checker.models.safety_checker import StableDiffusionSafetyChecker
+from transformers import CLIPFeatureExtractor, CLIPConfig
+from PIL import Image
+import modules.config
+
+safety_checker_repo_root = os.path.join(os.path.dirname(__file__), 'safety_checker')
+config_path = os.path.join(safety_checker_repo_root, "configs", "config.json")
+preprocessor_config_path = os.path.join(safety_checker_repo_root, "configs", "preprocessor_config.json")
+
+safety_feature_extractor = None
+safety_checker = None
+
+
+def numpy_to_pil(image):
+    image = (image * 255).round().astype("uint8")
+    pil_image = Image.fromarray(image)
+
+    return pil_image
+
+
+# check and replace nsfw content
+def check_safety(x_image):
+    global safety_feature_extractor, safety_checker
+
+    if safety_feature_extractor is None or safety_checker is None:
+        safety_checker_model = modules.config.downloading_safety_checker_model()
+        safety_feature_extractor = CLIPFeatureExtractor.from_json_file(preprocessor_config_path)
+        clip_config = CLIPConfig.from_json_file(config_path)
+        safety_checker = StableDiffusionSafetyChecker.from_pretrained(safety_checker_model, config=clip_config)
+
+    safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt")
+    x_checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=safety_checker_input.pixel_values)
+
+    return x_checked_image, has_nsfw_concept
+
+
+def censor_single(x):
+    x_checked_image, has_nsfw_concept = check_safety(x)
+
+    # replace image with black pixels, keep dimensions
+    # workaround due to different numpy / pytorch image matrix format
+    if has_nsfw_concept[0]:
+        imageshape = x_checked_image.shape
+        x_checked_image = np.zeros((imageshape[0], imageshape[1], 3), dtype = np.uint8)
+
+    return x_checked_image
+
+
+def censor_batch(images):
+    images = [censor_single(image) for image in images]
+
+    return images
\ No newline at end of file
diff --git a/extras/safety_checker/configs/config.json b/extras/safety_checker/configs/config.json
new file mode 100644
index 00000000..aa454d22
--- /dev/null
+++ b/extras/safety_checker/configs/config.json
@@ -0,0 +1,171 @@
+{
+  "_name_or_path": "clip-vit-large-patch14/",
+  "architectures": [
+    "SafetyChecker"
+  ],
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
+  "projection_dim": 768,
+  "text_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
+    "attention_dropout": 0.0,
+    "bad_words_ids": null,
+    "bos_token_id": 0,
+    "chunk_size_feed_forward": 0,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout": 0.0,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 2,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "quick_gelu",
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_factor": 1.0,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-05,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 77,
+    "min_length": 0,
+    "model_type": "clip_text_model",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 1,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "transformers_version": "4.21.0.dev0",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "vocab_size": 49408
+  },
+  "text_config_dict": {
+    "hidden_size": 768,
+    "intermediate_size": 3072,
+    "num_attention_heads": 12,
+    "num_hidden_layers": 12
+  },
+  "torch_dtype": "float32",
+  "transformers_version": null,
+  "vision_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
+    "attention_dropout": 0.0,
+    "bad_words_ids": null,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout": 0.0,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "quick_gelu",
+    "hidden_size": 1024,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "image_size": 224,
+    "initializer_factor": 1.0,
+    "initializer_range": 0.02,
+    "intermediate_size": 4096,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-05,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "clip_vision_model",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 16,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 24,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "patch_size": 14,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "transformers_version": "4.21.0.dev0",
+    "typical_p": 1.0,
+    "use_bfloat16": false
+  },
+  "vision_config_dict": {
+    "hidden_size": 1024,
+    "intermediate_size": 4096,
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14
+  }
+}
diff --git a/extras/safety_checker/configs/preprocessor_config.json b/extras/safety_checker/configs/preprocessor_config.json
new file mode 100644
index 00000000..5294955f
--- /dev/null
+++ b/extras/safety_checker/configs/preprocessor_config.json
@@ -0,0 +1,20 @@
+{
+  "crop_size": 224,
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "size": 224
+}
diff --git a/extras/safety_checker/models/safety_checker.py b/extras/safety_checker/models/safety_checker.py
new file mode 100644
index 00000000..ea38bf03
--- /dev/null
+++ b/extras/safety_checker/models/safety_checker.py
@@ -0,0 +1,126 @@
+# from https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/safety_checker.py
+
+# Copyright 2024 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import numpy as np
+import torch
+import torch.nn as nn
+from transformers import CLIPConfig, CLIPVisionModel, PreTrainedModel
+from transformers.utils import logging
+
+logger = logging.get_logger(__name__)
+
+
+def cosine_distance(image_embeds, text_embeds):
+    normalized_image_embeds = nn.functional.normalize(image_embeds)
+    normalized_text_embeds = nn.functional.normalize(text_embeds)
+    return torch.mm(normalized_image_embeds, normalized_text_embeds.t())
+
+
+class StableDiffusionSafetyChecker(PreTrainedModel):
+    config_class = CLIPConfig
+    main_input_name = "clip_input"
+
+    _no_split_modules = ["CLIPEncoderLayer"]
+
+    def __init__(self, config: CLIPConfig):
+        super().__init__(config)
+
+        self.vision_model = CLIPVisionModel(config.vision_config)
+        self.visual_projection = nn.Linear(config.vision_config.hidden_size, config.projection_dim, bias=False)
+
+        self.concept_embeds = nn.Parameter(torch.ones(17, config.projection_dim), requires_grad=False)
+        self.special_care_embeds = nn.Parameter(torch.ones(3, config.projection_dim), requires_grad=False)
+
+        self.concept_embeds_weights = nn.Parameter(torch.ones(17), requires_grad=False)
+        self.special_care_embeds_weights = nn.Parameter(torch.ones(3), requires_grad=False)
+
+    @torch.no_grad()
+    def forward(self, clip_input, images):
+        pooled_output = self.vision_model(clip_input)[1]  # pooled_output
+        image_embeds = self.visual_projection(pooled_output)
+
+        # we always cast to float32 as this does not cause significant overhead and is compatible with bfloat16
+        special_cos_dist = cosine_distance(image_embeds, self.special_care_embeds).cpu().float().numpy()
+        cos_dist = cosine_distance(image_embeds, self.concept_embeds).cpu().float().numpy()
+
+        result = []
+        batch_size = image_embeds.shape[0]
+        for i in range(batch_size):
+            result_img = {"special_scores": {}, "special_care": [], "concept_scores": {}, "bad_concepts": []}
+
+            # increase this value to create a stronger `nfsw` filter
+            # at the cost of increasing the possibility of filtering benign images
+            adjustment = 0.0
+
+            for concept_idx in range(len(special_cos_dist[0])):
+                concept_cos = special_cos_dist[i][concept_idx]
+                concept_threshold = self.special_care_embeds_weights[concept_idx].item()
+                result_img["special_scores"][concept_idx] = round(concept_cos - concept_threshold + adjustment, 3)
+                if result_img["special_scores"][concept_idx] > 0:
+                    result_img["special_care"].append({concept_idx, result_img["special_scores"][concept_idx]})
+                    adjustment = 0.01
+
+            for concept_idx in range(len(cos_dist[0])):
+                concept_cos = cos_dist[i][concept_idx]
+                concept_threshold = self.concept_embeds_weights[concept_idx].item()
+                result_img["concept_scores"][concept_idx] = round(concept_cos - concept_threshold + adjustment, 3)
+                if result_img["concept_scores"][concept_idx] > 0:
+                    result_img["bad_concepts"].append(concept_idx)
+
+            result.append(result_img)
+
+        has_nsfw_concepts = [len(res["bad_concepts"]) > 0 for res in result]
+
+        for idx, has_nsfw_concept in enumerate(has_nsfw_concepts):
+            if has_nsfw_concept:
+                if torch.is_tensor(images) or torch.is_tensor(images[0]):
+                    images[idx] = torch.zeros_like(images[idx])  # black image
+                else:
+                    images[idx] = np.zeros(images[idx].shape)  # black image
+
+        if any(has_nsfw_concepts):
+            logger.warning(
+                "Potential NSFW content was detected in one or more images. A black image will be returned instead."
+                " Try again with a different prompt and/or seed."
+            )
+
+        return images, has_nsfw_concepts
+
+    @torch.no_grad()
+    def forward_onnx(self, clip_input: torch.Tensor, images: torch.Tensor):
+        pooled_output = self.vision_model(clip_input)[1]  # pooled_output
+        image_embeds = self.visual_projection(pooled_output)
+
+        special_cos_dist = cosine_distance(image_embeds, self.special_care_embeds)
+        cos_dist = cosine_distance(image_embeds, self.concept_embeds)
+
+        # increase this value to create a stronger `nsfw` filter
+        # at the cost of increasing the possibility of filtering benign images
+        adjustment = 0.0
+
+        special_scores = special_cos_dist - self.special_care_embeds_weights + adjustment
+        # special_scores = special_scores.round(decimals=3)
+        special_care = torch.any(special_scores > 0, dim=1)
+        special_adjustment = special_care * 0.01
+        special_adjustment = special_adjustment.unsqueeze(1).expand(-1, cos_dist.shape[1])
+
+        concept_scores = (cos_dist - self.concept_embeds_weights) + special_adjustment
+        # concept_scores = concept_scores.round(decimals=3)
+        has_nsfw_concepts = torch.any(concept_scores > 0, dim=1)
+
+        images[has_nsfw_concepts] = 0.0  # black image
+
+        return images, has_nsfw_concepts
diff --git a/language/en.json b/language/en.json
index e9cd6b73..3eb5d5e2 100644
--- a/language/en.json
+++ b/language/en.json
@@ -55,6 +55,8 @@
     "Disable seed increment": "Disable seed increment",
     "Disable automatic seed increment when image number is > 1.": "Disable automatic seed increment when image number is > 1.",
     "Read wildcards in order": "Read wildcards in order",
+    "Black Out NSFW": "Black Out NSFW",
+    "Use black image if NSFW is detected.": "Use black image if NSFW is detected.",
     "\ud83d\udcda History Log": "\uD83D\uDCDA History Log",
     "Image Style": "Image Style",
     "Fooocus V2": "Fooocus V2",
diff --git a/models/safety_checker/put_safety_checker_models_here b/models/safety_checker/put_safety_checker_models_here
new file mode 100644
index 00000000..e69de29b
diff --git a/modules/async_worker.py b/modules/async_worker.py
index cde99bdc..6f0b30a9 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -43,6 +43,7 @@ def worker():
     import fooocus_version
     import args_manager
 
+    from extras.censor import censor_batch, censor_single
     from modules.sdxl_styles import apply_style, get_random_style, apply_wildcards, fooocus_expansion, apply_arrays, random_style_name
     from modules.private_logger import log
     from extras.expansion import safe_str
@@ -68,10 +69,14 @@ def worker():
         print(f'[Fooocus] {text}')
         async_task.yields.append(['preview', (number, text, None)])
 
-    def yield_result(async_task, imgs, do_not_show_finished_images=False):
+    def yield_result(async_task, imgs, black_out_nsfw, censor=True, do_not_show_finished_images=False, progressbar_index=13):
         if not isinstance(imgs, list):
             imgs = [imgs]
 
+        if censor and (modules.config.default_black_out_nsfw or black_out_nsfw):
+            progressbar(async_task, progressbar_index, 'Checking for NSFW content ...')
+            imgs = censor_batch(imgs)
+
         async_task.results = async_task.results + imgs
 
         if do_not_show_finished_images:
@@ -160,6 +165,7 @@ def worker():
         disable_preview = args.pop()
         disable_intermediate_results = args.pop()
         disable_seed_increment = args.pop()
+        black_out_nsfw = args.pop()
         adm_scaler_positive = args.pop()
         adm_scaler_negative = args.pop()
         adm_scaler_end = args.pop()
@@ -578,8 +584,11 @@ def worker():
 
             if direct_return:
                 d = [('Upscale (Fast)', 'upscale_fast', '2x')]
+                if modules.config.default_black_out_nsfw or black_out_nsfw:
+                    progressbar(async_task, 100, 'Checking for NSFW content ...')
+                    uov_input_image = censor_single(uov_input_image)
                 uov_input_image_path = log(uov_input_image, d, output_format=output_format)
-                yield_result(async_task, uov_input_image_path, do_not_show_finished_images=True)
+                yield_result(async_task, uov_input_image_path, black_out_nsfw, False, do_not_show_finished_images=True)
                 return
 
             tiled = True
@@ -643,8 +652,7 @@ def worker():
             )
 
             if debugging_inpaint_preprocessor:
-                yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(),
-                             do_not_show_finished_images=True)
+                yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(), black_out_nsfw, do_not_show_finished_images=True)
                 return
 
             progressbar(async_task, 13, 'VAE Inpaint encoding ...')
@@ -707,7 +715,7 @@ def worker():
                 cn_img = HWC3(cn_img)
                 task[0] = core.numpy_to_pytorch(cn_img)
                 if debugging_cn_preprocessor:
-                    yield_result(async_task, cn_img, do_not_show_finished_images=True)
+                    yield_result(async_task, cn_img, black_out_nsfw, do_not_show_finished_images=True)
                     return
             for task in cn_tasks[flags.cn_cpds]:
                 cn_img, cn_stop, cn_weight = task
@@ -719,7 +727,7 @@ def worker():
                 cn_img = HWC3(cn_img)
                 task[0] = core.numpy_to_pytorch(cn_img)
                 if debugging_cn_preprocessor:
-                    yield_result(async_task, cn_img, do_not_show_finished_images=True)
+                    yield_result(async_task, cn_img, black_out_nsfw, do_not_show_finished_images=True)
                     return
             for task in cn_tasks[flags.cn_ip]:
                 cn_img, cn_stop, cn_weight = task
@@ -730,7 +738,7 @@ def worker():
 
                 task[0] = ip_adapter.preprocess(cn_img, ip_adapter_path=ip_adapter_path)
                 if debugging_cn_preprocessor:
-                    yield_result(async_task, cn_img, do_not_show_finished_images=True)
+                    yield_result(async_task, cn_img, black_out_nsfw, do_not_show_finished_images=True)
                     return
             for task in cn_tasks[flags.cn_ip_face]:
                 cn_img, cn_stop, cn_weight = task
@@ -744,7 +752,7 @@ def worker():
 
                 task[0] = ip_adapter.preprocess(cn_img, ip_adapter_path=ip_adapter_face_path)
                 if debugging_cn_preprocessor:
-                    yield_result(async_task, cn_img, do_not_show_finished_images=True)
+                    yield_result(async_task, cn_img, black_out_nsfw, do_not_show_finished_images=True)
                     return
 
             all_ip_tasks = cn_tasks[flags.cn_ip] + cn_tasks[flags.cn_ip_face]
@@ -844,6 +852,12 @@ def worker():
                     imgs = [inpaint_worker.current_task.post_process(x) for x in imgs]
 
                 img_paths = []
+
+                if modules.config.default_black_out_nsfw or black_out_nsfw:
+                    progressbar(async_task, int(15.0 + 85.0 * float((current_task_id + 1) * steps) / float(all_steps)),
+                                'Checking for NSFW content ...')
+                    imgs = censor_batch(imgs)
+
                 for x in imgs:
                     d = [('Prompt', 'prompt', task['log_positive_prompt']),
                          ('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),
@@ -895,7 +909,7 @@ def worker():
                     d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
                     img_paths.append(log(x, d, metadata_parser, output_format, task))
 
-                yield_result(async_task, img_paths, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
+                yield_result(async_task, img_paths, black_out_nsfw, False, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
             except ldm_patched.modules.model_management.InterruptProcessingException as e:
                 if async_task.last_stop == 'skip':
                     print('User skipped')
diff --git a/modules/config.py b/modules/config.py
index f11460c8..ffb74a23 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -196,6 +196,7 @@ path_controlnet = get_dir_or_set_default('path_controlnet', '../models/controlne
 path_clip_vision = get_dir_or_set_default('path_clip_vision', '../models/clip_vision/')
 path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../models/prompt_expansion/fooocus_expansion')
 path_wildcards = get_dir_or_set_default('path_wildcards', '../wildcards/')
+path_safety_checker = get_dir_or_set_default('path_safety_checker', '../models/safety_checker/')
 path_outputs = get_path_output()
 
 
@@ -456,6 +457,11 @@ example_inpaint_prompts = get_config_item_or_set_default(
     ],
     validator=lambda x: isinstance(x, list) and all(isinstance(v, str) for v in x)
 )
+default_black_out_nsfw = get_config_item_or_set_default(
+    key='default_black_out_nsfw',
+    default_value=False,
+    validator=lambda x: isinstance(x, bool)
+)
 default_save_metadata_to_images = get_config_item_or_set_default(
     key='default_save_metadata_to_images',
     default_value=False,
@@ -691,5 +697,13 @@ def downloading_upscale_model():
     )
     return os.path.join(path_upscale_models, 'fooocus_upscaler_s409985e5.bin')
 
+def downloading_safety_checker_model():
+    load_file_from_url(
+        url='https://huggingface.co/mashb1t/misc/resolve/main/stable-diffusion-safety-checker.bin',
+        model_dir=path_safety_checker,
+        file_name='stable-diffusion-safety-checker.bin'
+    )
+    return os.path.join(path_safety_checker, 'stable-diffusion-safety-checker.bin')
+
 
 update_files()
diff --git a/webui.py b/webui.py
index f99ab159..55f3102c 100644
--- a/webui.py
+++ b/webui.py
@@ -436,7 +436,8 @@ with shared.gradio_root:
                         overwrite_upscale_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Upscale"',
                                                                minimum=-1, maximum=1.0, step=0.001, value=-1,
                                                                info='Set as negative number to disable. For developer debugging.')
-                        disable_preview = gr.Checkbox(label='Disable Preview', value=False,
+                        disable_preview = gr.Checkbox(label='Disable Preview', value=modules.config.default_black_out_nsfw,
+                                                      interactive=not modules.config.default_black_out_nsfw,
                                                       info='Disable preview during generation.')
                         disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results', 
                                                       value=modules.config.default_performance == flags.Performance.EXTREME_SPEED.value,
@@ -447,6 +448,15 @@ with shared.gradio_root:
                                                              value=False)
                         read_wildcards_in_order = gr.Checkbox(label="Read wildcards in order", value=False)
 
+                        black_out_nsfw = gr.Checkbox(label='Black Out NSFW',
+                                                     value=modules.config.default_black_out_nsfw,
+                                                     interactive=not modules.config.default_black_out_nsfw,
+                                                     info='Use black image if NSFW is detected.')
+
+                        black_out_nsfw.change(lambda x: gr.update(value=x, interactive=not x),
+                                              inputs=black_out_nsfw, outputs=disable_preview, queue=False,
+                                              show_progress=False)
+
                         if not args_manager.args.disable_metadata:
                             save_metadata_to_images = gr.Checkbox(label='Save Metadata to Images', value=modules.config.default_save_metadata_to_images,
                                                                   info='Adds parameters to generated images allowing manual regeneration.')
@@ -636,7 +646,7 @@ with shared.gradio_root:
         ctrls += [input_image_checkbox, current_tab]
         ctrls += [uov_method, uov_input_image]
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
-        ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment]
+        ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment, black_out_nsfw]
         ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
         ctrls += [sampler_name, scheduler_name, vae_name]
         ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]

From 3a55e7e3910b8ae58f82a5a0e4c11d7d4fa3143f Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sat, 18 May 2024 15:53:34 +0200
Subject: [PATCH 133/180] feat: add AlignYourStepsScheduler (#2905)

---
 .../contrib/external_align_your_steps.py      | 55 +++++++++++++++++++
 modules/flags.py                              |  2 +-
 modules/sample_hijack.py                      |  4 ++
 3 files changed, 60 insertions(+), 1 deletion(-)
 create mode 100644 ldm_patched/contrib/external_align_your_steps.py

diff --git a/ldm_patched/contrib/external_align_your_steps.py b/ldm_patched/contrib/external_align_your_steps.py
new file mode 100644
index 00000000..624bbce2
--- /dev/null
+++ b/ldm_patched/contrib/external_align_your_steps.py
@@ -0,0 +1,55 @@
+# https://github.com/comfyanonymous/ComfyUI/blob/master/nodes.py
+
+#from: https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html
+import numpy as np
+import torch
+
+def loglinear_interp(t_steps, num_steps):
+    """
+    Performs log-linear interpolation of a given array of decreasing numbers.
+    """
+    xs = np.linspace(0, 1, len(t_steps))
+    ys = np.log(t_steps[::-1])
+
+    new_xs = np.linspace(0, 1, num_steps)
+    new_ys = np.interp(new_xs, xs, ys)
+
+    interped_ys = np.exp(new_ys)[::-1].copy()
+    return interped_ys
+
+NOISE_LEVELS = {"SD1": [14.6146412293, 6.4745760956,  3.8636745985,  2.6946151520, 1.8841921177,  1.3943805092,  0.9642583904,  0.6523686016, 0.3977456272,  0.1515232662,  0.0291671582],
+                "SDXL":[14.6146412293, 6.3184485287,  3.7681790315,  2.1811480769, 1.3405244945,  0.8620721141,  0.5550693289,  0.3798540708, 0.2332364134,  0.1114188177,  0.0291671582],
+                "SVD": [700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002]}
+
+class AlignYourStepsScheduler:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required":
+                    {"model_type": (["SD1", "SDXL", "SVD"], ),
+                     "steps": ("INT", {"default": 10, "min": 10, "max": 10000}),
+                     "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
+                      }
+               }
+    RETURN_TYPES = ("SIGMAS",)
+    CATEGORY = "sampling/custom_sampling/schedulers"
+
+    FUNCTION = "get_sigmas"
+
+    def get_sigmas(self, model_type, steps, denoise):
+        total_steps = steps
+        if denoise < 1.0:
+            if denoise <= 0.0:
+                return (torch.FloatTensor([]),)
+            total_steps = round(steps * denoise)
+
+        sigmas = NOISE_LEVELS[model_type][:]
+        if (steps + 1) != len(sigmas):
+            sigmas = loglinear_interp(sigmas, steps + 1)
+
+        sigmas = sigmas[-(total_steps + 1):]
+        sigmas[-1] = 0
+        return (torch.FloatTensor(sigmas), )
+
+NODE_CLASS_MAPPINGS = {
+    "AlignYourStepsScheduler": AlignYourStepsScheduler,
+}
\ No newline at end of file
diff --git a/modules/flags.py b/modules/flags.py
index 9f2aefb3..0c605439 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -47,7 +47,7 @@ SAMPLERS = KSAMPLER | SAMPLER_EXTRA
 
 KSAMPLER_NAMES = list(KSAMPLER.keys())
 
-SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo"]
+SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo", "align_your_steps"]
 SAMPLER_NAMES = KSAMPLER_NAMES + list(SAMPLER_EXTRA.keys())
 
 sampler_list = SAMPLER_NAMES
diff --git a/modules/sample_hijack.py b/modules/sample_hijack.py
index 5936a096..4ab3cbbd 100644
--- a/modules/sample_hijack.py
+++ b/modules/sample_hijack.py
@@ -3,6 +3,7 @@ import ldm_patched.modules.samplers
 import ldm_patched.modules.model_management
 
 from collections import namedtuple
+from ldm_patched.contrib.external_align_your_steps import AlignYourStepsScheduler
 from ldm_patched.contrib.external_custom_sampler import SDTurboScheduler
 from ldm_patched.k_diffusion import sampling as k_diffusion_sampling
 from ldm_patched.modules.samplers import normal_scheduler, simple_scheduler, ddim_scheduler
@@ -175,6 +176,9 @@ def calculate_sigmas_scheduler_hacked(model, scheduler_name, steps):
         sigmas = normal_scheduler(model, steps, sgm=True)
     elif scheduler_name == "turbo":
         sigmas = SDTurboScheduler().get_sigmas(namedtuple('Patcher', ['model'])(model=model), steps=steps, denoise=1.0)[0]
+    elif scheduler_name == "align_your_steps":
+        model_type = 'SDXL' if isinstance(model.latent_format, ldm_patched.modules.latent_formats.SDXL) else 'SD1'
+        sigmas = AlignYourStepsScheduler().get_sigmas(model_type=model_type, steps=steps, denoise=1.0)[0]
     else:
         raise TypeError("error invalid scheduler")
     return sigmas

From 3bae73e23ecc85430e532ce57a25b04437c7cf67 Mon Sep 17 00:00:00 2001
From: cantor-set <32692347+cantor-set@users.noreply.github.com>
Date: Sat, 18 May 2024 11:19:46 -0400
Subject: [PATCH 134/180] feat: add support for lora inline prompt references
 (#2323)

* Adding support to inline prompt references

* Added unittests

* Added an initial documentation for development guidelines

* Added a negative number

* renamed parameter

* removed wrongly committed file

* Code fixes

* Fixed circular reference

* Fixed typo. Added TODO

* Fixed merge

* Code cleanup

* Added missing refernce function

* Removed function from util.py... again...

* Update modules/async_worker.py

Implemented suggested change

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* Removed another circular reference

* Renamed module

* Addressed PR comments

* Added return type to function

* refactor: move apply_wildcards to module util

* refactor: code cleanup, unify usage of tuples in lora list

* docs: add instructions for running unittests on embedded python, code cleanup

* refactor: code cleanup, move makedirs_with_log back to util

---------

Co-authored-by: cantor-set <cantor-set@no-email.net>
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <dev@mash1t.de>
---
 development.md          | 11 ++++++
 modules/__init__.py     |  0
 modules/async_worker.py | 46 ++++++++++++++++--------
 modules/config.py       |  5 +--
 modules/extra_utils.py  | 20 +++++++++++
 modules/sdxl_styles.py  | 36 ++-----------------
 modules/util.py         | 79 +++++++++++++++++++++++++++++------------
 tests/__init__.py       |  4 +++
 tests/test_utils.py     | 48 +++++++++++++++++++++++++
 9 files changed, 176 insertions(+), 73 deletions(-)
 create mode 100644 development.md
 create mode 100644 modules/__init__.py
 create mode 100644 modules/extra_utils.py
 create mode 100644 tests/__init__.py
 create mode 100644 tests/test_utils.py

diff --git a/development.md b/development.md
new file mode 100644
index 00000000..bbb3def9
--- /dev/null
+++ b/development.md
@@ -0,0 +1,11 @@
+## Running unit tests
+
+Native python:
+```
+python -m unittest tests/
+```
+
+Embedded python (Windows zip file installation method):
+```
+..\python_embeded\python.exe -m unittest
+```
diff --git a/modules/__init__.py b/modules/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 6f0b30a9..7f0a46e3 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -4,6 +4,7 @@ from modules.patch import PatchSettings, patch_settings, patch_all
 
 patch_all()
 
+
 class AsyncTask:
     def __init__(self, args):
         self.args = args
@@ -44,11 +45,12 @@ def worker():
     import args_manager
 
     from extras.censor import censor_batch, censor_single
-    from modules.sdxl_styles import apply_style, get_random_style, apply_wildcards, fooocus_expansion, apply_arrays, random_style_name
+    from modules.sdxl_styles import apply_style, get_random_style, fooocus_expansion, apply_arrays, random_style_name
     from modules.private_logger import log
     from extras.expansion import safe_str
-    from modules.util import remove_empty_str, HWC3, resize_image, get_image_shape_ceil, set_image_shape_ceil, \
-        get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix, get_enabled_loras
+    from modules.util import (remove_empty_str, HWC3, resize_image, get_image_shape_ceil, set_image_shape_ceil,
+                              get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix, get_enabled_loras,
+                              parse_lora_references_from_prompt, apply_wildcards)
     from modules.upscaler import perform_upscale
     from modules.flags import Performance
     from modules.meta_parser import get_metadata_parser, MetadataScheme
@@ -69,7 +71,8 @@ def worker():
         print(f'[Fooocus] {text}')
         async_task.yields.append(['preview', (number, text, None)])
 
-    def yield_result(async_task, imgs, black_out_nsfw, censor=True, do_not_show_finished_images=False, progressbar_index=13):
+    def yield_result(async_task, imgs, black_out_nsfw, censor=True, do_not_show_finished_images=False,
+                     progressbar_index=13):
         if not isinstance(imgs, list):
             imgs = [imgs]
 
@@ -152,7 +155,8 @@ def worker():
         base_model_name = args.pop()
         refiner_model_name = args.pop()
         refiner_switch = args.pop()
-        loras = get_enabled_loras([[bool(args.pop()), str(args.pop()), float(args.pop())] for _ in range(modules.config.default_max_lora_number)])
+        loras = get_enabled_loras([(bool(args.pop()), str(args.pop()), float(args.pop())) for _ in
+                                   range(modules.config.default_max_lora_number)])
         input_image_checkbox = args.pop()
         current_tab = args.pop()
         uov_method = args.pop()
@@ -202,7 +206,8 @@ def worker():
         inpaint_erode_or_dilate = args.pop()
 
         save_metadata_to_images = args.pop() if not args_manager.args.disable_metadata else False
-        metadata_scheme = MetadataScheme(args.pop()) if not args_manager.args.disable_metadata else MetadataScheme.FOOOCUS
+        metadata_scheme = MetadataScheme(
+            args.pop()) if not args_manager.args.disable_metadata else MetadataScheme.FOOOCUS
 
         cn_tasks = {x: [] for x in flags.ip_list}
         for _ in range(flags.controlnet_image_count):
@@ -433,13 +438,16 @@ def worker():
             extra_negative_prompts = negative_prompts[1:] if len(negative_prompts) > 1 else []
 
             progressbar(async_task, 3, 'Loading models ...')
+
+            loras = parse_lora_references_from_prompt(prompt, loras, modules.config.default_max_lora_number)
+
             pipeline.refresh_everything(refiner_model_name=refiner_model_name, base_model_name=base_model_name,
                                         loras=loras, base_model_additional_loras=base_model_additional_loras,
                                         use_synthetic_refiner=use_synthetic_refiner, vae_name=vae_name)
 
             progressbar(async_task, 3, 'Processing prompts ...')
             tasks = []
-            
+
             for i in range(image_number):
                 if disable_seed_increment:
                     task_seed = seed % (constants.MAX_SEED + 1)
@@ -450,8 +458,10 @@ def worker():
                 task_prompt = apply_wildcards(prompt, task_rng, i, read_wildcards_in_order)
                 task_prompt = apply_arrays(task_prompt, i)
                 task_negative_prompt = apply_wildcards(negative_prompt, task_rng, i, read_wildcards_in_order)
-                task_extra_positive_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in extra_positive_prompts]
-                task_extra_negative_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in extra_negative_prompts]
+                task_extra_positive_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in
+                                               extra_positive_prompts]
+                task_extra_negative_prompts = [apply_wildcards(pmt, task_rng, i, read_wildcards_in_order) for pmt in
+                                               extra_negative_prompts]
 
                 positive_basic_workloads = []
                 negative_basic_workloads = []
@@ -652,7 +662,8 @@ def worker():
             )
 
             if debugging_inpaint_preprocessor:
-                yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(), black_out_nsfw, do_not_show_finished_images=True)
+                yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(), black_out_nsfw,
+                             do_not_show_finished_images=True)
                 return
 
             progressbar(async_task, 13, 'VAE Inpaint encoding ...')
@@ -807,7 +818,8 @@ def worker():
             done_steps = current_task_id * steps + step
             async_task.yields.append(['preview', (
                 int(15.0 + 85.0 * float(done_steps) / float(all_steps)),
-                f'Step {step}/{total_steps} in the {current_task_id + 1}{ordinal_suffix(current_task_id + 1)} Sampling', y)])
+                f'Step {step}/{total_steps} in the {current_task_id + 1}{ordinal_suffix(current_task_id + 1)} Sampling',
+                y)])
 
         for current_task_id, task in enumerate(tasks):
             execution_start_time = time.perf_counter()
@@ -862,7 +874,8 @@ def worker():
                     d = [('Prompt', 'prompt', task['log_positive_prompt']),
                          ('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),
                          ('Fooocus V2 Expansion', 'prompt_expansion', task['expansion']),
-                         ('Styles', 'styles', str(task['styles'] if not use_expansion else [fooocus_expansion] + task['styles'])),
+                         ('Styles', 'styles',
+                          str(task['styles'] if not use_expansion else [fooocus_expansion] + task['styles'])),
                          ('Performance', 'performance', performance_selection.value)]
 
                     if performance_selection.steps() != steps:
@@ -885,7 +898,8 @@ def worker():
                         if refiner_swap_method != flags.refiner_swap_method:
                             d.append(('Refiner Swap Method', 'refiner_swap_method', refiner_swap_method))
                     if modules.patch.patch_settings[pid].adaptive_cfg != modules.config.default_cfg_tsnr:
-                        d.append(('CFG Mimicking from TSNR', 'adaptive_cfg', modules.patch.patch_settings[pid].adaptive_cfg))
+                        d.append(
+                            ('CFG Mimicking from TSNR', 'adaptive_cfg', modules.patch.patch_settings[pid].adaptive_cfg))
 
                     d.append(('Sampler', 'sampler', sampler_name))
                     d.append(('Scheduler', 'scheduler', scheduler_name))
@@ -905,11 +919,13 @@ def worker():
                         metadata_parser.set_data(task['log_positive_prompt'], task['positive'],
                                                  task['log_negative_prompt'], task['negative'],
                                                  steps, base_model_name, refiner_model_name, loras, vae_name)
-                    d.append(('Metadata Scheme', 'metadata_scheme', metadata_scheme.value if save_metadata_to_images else save_metadata_to_images))
+                    d.append(('Metadata Scheme', 'metadata_scheme',
+                              metadata_scheme.value if save_metadata_to_images else save_metadata_to_images))
                     d.append(('Version', 'version', 'Fooocus v' + fooocus_version.version))
                     img_paths.append(log(x, d, metadata_parser, output_format, task))
 
-                yield_result(async_task, img_paths, black_out_nsfw, False, do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
+                yield_result(async_task, img_paths, black_out_nsfw, False,
+                             do_not_show_finished_images=len(tasks) == 1 or disable_intermediate_results)
             except ldm_patched.modules.model_management.InterruptProcessingException as e:
                 if async_task.last_stop == 'skip':
                     print('User skipped')
diff --git a/modules/config.py b/modules/config.py
index ffb74a23..11fe3181 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -8,7 +8,8 @@ import modules.flags
 import modules.sdxl_styles
 
 from modules.model_loader import load_file_from_url
-from modules.util import get_files_from_folder, makedirs_with_log
+from modules.util import makedirs_with_log
+from modules.extra_utils import get_files_from_folder
 from modules.flags import OutputFormat, Performance, MetadataScheme
 
 
@@ -20,7 +21,7 @@ def get_config_path(key, default_value):
     else:
         return os.path.abspath(default_value)
 
-
+wildcards_max_bfs_depth = 64
 config_path = get_config_path('config_path', "./config.txt")
 config_example_path = get_config_path('config_example_path', "config_modification_tutorial.txt")
 config_dict = {}
diff --git a/modules/extra_utils.py b/modules/extra_utils.py
new file mode 100644
index 00000000..3e95e8b5
--- /dev/null
+++ b/modules/extra_utils.py
@@ -0,0 +1,20 @@
+import os
+
+
+def get_files_from_folder(folder_path, extensions=None, name_filter=None):
+    if not os.path.isdir(folder_path):
+        raise ValueError("Folder path is not a valid directory.")
+
+    filenames = []
+
+    for root, _, files in os.walk(folder_path, topdown=False):
+        relative_path = os.path.relpath(root, folder_path)
+        if relative_path == ".":
+            relative_path = ""
+        for filename in sorted(files, key=lambda s: s.casefold()):
+            _, file_extension = os.path.splitext(filename)
+            if (extensions is None or file_extension.lower() in extensions) and (name_filter is None or name_filter in _):
+                path = os.path.join(relative_path, filename)
+                filenames.append(path)
+
+    return filenames
diff --git a/modules/sdxl_styles.py b/modules/sdxl_styles.py
index 5b6afb59..12ab6c5c 100644
--- a/modules/sdxl_styles.py
+++ b/modules/sdxl_styles.py
@@ -2,14 +2,12 @@ import os
 import re
 import json
 import math
-import modules.config
 
-from modules.util import get_files_from_folder
+from modules.extra_utils import get_files_from_folder
 from random import Random
 
 # cannot use modules.config - validators causing circular imports
 styles_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../sdxl_styles/'))
-wildcards_max_bfs_depth = 64
 
 
 def normalize_key(k):
@@ -25,7 +23,6 @@ def normalize_key(k):
 
 
 styles = {}
-
 styles_files = get_files_from_folder(styles_path, ['.json'])
 
 for x in ['sdxl_styles_fooocus.json',
@@ -65,34 +62,7 @@ def apply_style(style, positive):
     return p.replace('{prompt}', positive).splitlines(), n.splitlines()
 
 
-def apply_wildcards(wildcard_text, rng, i, read_wildcards_in_order):
-    for _ in range(wildcards_max_bfs_depth):
-        placeholders = re.findall(r'__([\w-]+)__', wildcard_text)
-        if len(placeholders) == 0:
-            return wildcard_text
-
-        print(f'[Wildcards] processing: {wildcard_text}')
-        for placeholder in placeholders:
-            try:
-                matches = [x for x in modules.config.wildcard_filenames if os.path.splitext(os.path.basename(x))[0] == placeholder]
-                words = open(os.path.join(modules.config.path_wildcards, matches[0]), encoding='utf-8').read().splitlines()
-                words = [x for x in words if x != '']
-                assert len(words) > 0
-                if read_wildcards_in_order:
-                    wildcard_text = wildcard_text.replace(f'__{placeholder}__', words[i % len(words)], 1)
-                else:
-                    wildcard_text = wildcard_text.replace(f'__{placeholder}__', rng.choice(words), 1)
-            except:
-                print(f'[Wildcards] Warning: {placeholder}.txt missing or empty. '
-                      f'Using "{placeholder}" as a normal word.')
-                wildcard_text = wildcard_text.replace(f'__{placeholder}__', placeholder)
-            print(f'[Wildcards] {wildcard_text}')
-
-    print(f'[Wildcards] BFS stack overflow. Current text: {wildcard_text}')
-    return wildcard_text
-
-
-def get_words(arrays, totalMult, index):
+def get_words(arrays, total_mult, index):
     if len(arrays) == 1:
         return [arrays[0].split(',')[index]]
     else:
@@ -101,7 +71,7 @@ def get_words(arrays, totalMult, index):
         index -= index % len(words)
         index /= len(words)
         index = math.floor(index)
-        return [word] + get_words(arrays[1:], math.floor(totalMult/len(words)), index)
+        return [word] + get_words(arrays[1:], math.floor(total_mult / len(words)), index)
 
 
 def apply_arrays(text, index):
diff --git a/modules/util.py b/modules/util.py
index d2feecb6..73430230 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -1,11 +1,12 @@
-import typing
-
 import numpy as np
 import datetime
 import random
 import math
 import os
 import cv2
+import re
+from typing import List, Tuple, AnyStr, NamedTuple
+
 import json
 import hashlib
 
@@ -14,8 +15,16 @@ from PIL import Image
 import modules.sdxl_styles
 
 LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
+
+
+# Regexp compiled once. Matches entries with the following pattern:
+# <lora:some_lora:1>
+# <lora:aNotherLora:-1.6>
+LORAS_PROMPT_PATTERN = re.compile(r".* <lora : ([^:]+) : ([+-]? (?: (?:\d+ (?:\.\d*)?) | (?:\.\d+)))> .*", re.X)
+
 HASH_SHA256_LENGTH = 10
 
+
 def erode_or_dilate(x, k):
     k = int(k)
     if k > 0:
@@ -163,25 +172,6 @@ def generate_temp_filename(folder='./outputs/', extension='png'):
     return date_string, os.path.abspath(result), filename
 
 
-def get_files_from_folder(folder_path, extensions=None, name_filter=None):
-    if not os.path.isdir(folder_path):
-        raise ValueError("Folder path is not a valid directory.")
-
-    filenames = []
-
-    for root, dirs, files in os.walk(folder_path, topdown=False):
-        relative_path = os.path.relpath(root, folder_path)
-        if relative_path == ".":
-            relative_path = ""
-        for filename in sorted(files, key=lambda s: s.casefold()):
-            _, file_extension = os.path.splitext(filename)
-            if (extensions is None or file_extension.lower() in extensions) and (name_filter is None or name_filter in _):
-                path = os.path.join(relative_path, filename)
-                filenames.append(path)
-
-    return filenames
-
-
 def sha256(filename, use_addnet_hash=False, length=HASH_SHA256_LENGTH):
     print(f"Calculating sha256 for {filename}: ", end='')
     if use_addnet_hash:
@@ -355,7 +345,7 @@ def extract_styles_from_prompt(prompt, negative_prompt):
     return list(reversed(extracted)), real_prompt, negative_prompt
 
 
-class PromptStyle(typing.NamedTuple):
+class PromptStyle(NamedTuple):
     name: str
     prompt: str
     negative_prompt: str
@@ -394,4 +384,47 @@ def makedirs_with_log(path):
 
 
 def get_enabled_loras(loras: list) -> list:
-    return [[lora[1], lora[2]] for lora in loras if lora[0]]
+    return [(lora[1], lora[2]) for lora in loras if lora[0]]
+
+
+def parse_lora_references_from_prompt(prompt: str, loras: List[Tuple[AnyStr, float]], loras_limit: int = 5) -> List[Tuple[AnyStr, float]]:
+    new_loras = []
+    updated_loras = []
+    for token in prompt.split(","):
+        m = LORAS_PROMPT_PATTERN.match(token)
+
+        if m:
+            new_loras.append((f"{m.group(1)}.safetensors", float(m.group(2))))
+
+    for lora in loras + new_loras:
+        if lora[0] != "None":
+            updated_loras.append(lora)
+
+    return updated_loras[:loras_limit]
+
+
+def apply_wildcards(wildcard_text, rng, i, read_wildcards_in_order) -> str:
+    for _ in range(modules.config.wildcards_max_bfs_depth):
+        placeholders = re.findall(r'__([\w-]+)__', wildcard_text)
+        if len(placeholders) == 0:
+            return wildcard_text
+
+        print(f'[Wildcards] processing: {wildcard_text}')
+        for placeholder in placeholders:
+            try:
+                matches = [x for x in modules.config.wildcard_filenames if os.path.splitext(os.path.basename(x))[0] == placeholder]
+                words = open(os.path.join(modules.config.path_wildcards, matches[0]), encoding='utf-8').read().splitlines()
+                words = [x for x in words if x != '']
+                assert len(words) > 0
+                if read_wildcards_in_order:
+                    wildcard_text = wildcard_text.replace(f'__{placeholder}__', words[i % len(words)], 1)
+                else:
+                    wildcard_text = wildcard_text.replace(f'__{placeholder}__', rng.choice(words), 1)
+            except:
+                print(f'[Wildcards] Warning: {placeholder}.txt missing or empty. '
+                      f'Using "{placeholder}" as a normal word.')
+                wildcard_text = wildcard_text.replace(f'__{placeholder}__', placeholder)
+            print(f'[Wildcards] {wildcard_text}')
+
+    print(f'[Wildcards] BFS stack overflow. Current text: {wildcard_text}')
+    return wildcard_text
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 00000000..c424468f
--- /dev/null
+++ b/tests/__init__.py
@@ -0,0 +1,4 @@
+import sys
+import pathlib
+
+sys.path.append(pathlib.Path(f'{__file__}/../modules').parent.resolve())
diff --git a/tests/test_utils.py b/tests/test_utils.py
new file mode 100644
index 00000000..0698dcc8
--- /dev/null
+++ b/tests/test_utils.py
@@ -0,0 +1,48 @@
+import unittest
+
+from modules import util
+
+
+class TestUtils(unittest.TestCase):
+    def test_can_parse_tokens_with_lora(self):
+        test_cases = [
+            {
+                "input": ("some prompt, very cool, <lora:hey-lora:0.4>,  cool   <lora:you-lora:0.2>", [], 5),
+                "output": [("hey-lora.safetensors", 0.4), ("you-lora.safetensors", 0.2)],
+            },
+            # Test can not exceed limit
+            {
+                "input": ("some prompt, very cool, <lora:hey-lora:0.4>,  cool   <lora:you-lora:0.2>", [], 1),
+                "output": [("hey-lora.safetensors", 0.4)],
+            },
+            # test Loras from UI take precedence over prompt
+            {
+                "input": (
+                    "some prompt, very cool, <lora:l1:0.4>, <lora:l2:-0.2>, <lora:l3:0.3>, <lora:l4:0.5>, <lora:l6:0.24>, <lora:l7:0.1>",
+                    [("hey-lora.safetensors", 0.4)],
+                    5,
+                ),
+                "output": [
+                    ("hey-lora.safetensors", 0.4),
+                    ("l1.safetensors", 0.4),
+                    ("l2.safetensors", -0.2),
+                    ("l3.safetensors", 0.3),
+                    ("l4.safetensors", 0.5),
+                ],
+            },
+            # Test lora specification not separated by comma are ignored, only latest specified is used
+            {
+                "input": ("some prompt, very cool, <lora:hey-lora:0.4><lora:you-lora:0.2>", [], 3),
+                "output": [("you-lora.safetensors", 0.2)],
+            },
+            {
+                "input": ("<lora:foo:1..2>, <lora:bar:.>, <lora:baz:+> and <lora:quux:>", [], 6),
+                "output": []
+            }
+        ]
+
+        for test in test_cases:
+            prompt, loras, loras_limit = test["input"]
+            expected = test["output"]
+            actual = util.parse_lora_references_from_prompt(prompt, loras, loras_limit)
+            self.assertEqual(expected, actual)

From 2e2e8f851a501e1ae7870112b5e3144e241c015a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 19 May 2024 13:08:33 +0200
Subject: [PATCH 135/180] feat: add tcd sampler and discrete distilled tcd
 scheduler based on sgm_uniform (same as lcm) (#2907)

---
 .../contrib/external_custom_sampler.py        | 20 +++++++++++++
 .../contrib/external_model_advanced.py        |  5 +++-
 ldm_patched/k_diffusion/sampling.py           | 28 ++++++++++++++++++-
 ldm_patched/modules/model_sampling.py         |  8 +++---
 ldm_patched/modules/samplers.py               |  2 +-
 modules/async_worker.py                       |  8 +++---
 modules/flags.py                              |  5 ++--
 modules/patch_precision.py                    |  2 ++
 8 files changed, 65 insertions(+), 13 deletions(-)

diff --git a/ldm_patched/contrib/external_custom_sampler.py b/ldm_patched/contrib/external_custom_sampler.py
index 8f92e841..985b03a0 100644
--- a/ldm_patched/contrib/external_custom_sampler.py
+++ b/ldm_patched/contrib/external_custom_sampler.py
@@ -230,6 +230,25 @@ class SamplerDPMPP_SDE:
         sampler = ldm_patched.modules.samplers.ksampler(sampler_name, {"eta": eta, "s_noise": s_noise, "r": r})
         return (sampler, )
 
+
+class SamplerTCD:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "eta": ("FLOAT", {"default": 0.3, "min": 0.0, "max": 1.0, "step": 0.01}),
+            }
+        }
+    RETURN_TYPES = ("SAMPLER",)
+    CATEGORY = "sampling/custom_sampling/samplers"
+
+    FUNCTION = "get_sampler"
+
+    def get_sampler(self, eta=0.3):
+        sampler = ldm_patched.modules.samplers.ksampler("tcd", {"eta": eta})
+        return (sampler, )
+
+
 class SamplerCustom:
     @classmethod
     def INPUT_TYPES(s):
@@ -292,6 +311,7 @@ NODE_CLASS_MAPPINGS = {
     "KSamplerSelect": KSamplerSelect,
     "SamplerDPMPP_2M_SDE": SamplerDPMPP_2M_SDE,
     "SamplerDPMPP_SDE": SamplerDPMPP_SDE,
+    "SamplerTCD": SamplerTCD,
     "SplitSigmas": SplitSigmas,
     "FlipSigmas": FlipSigmas,
 }
diff --git a/ldm_patched/contrib/external_model_advanced.py b/ldm_patched/contrib/external_model_advanced.py
index 03a2f045..9b52c36b 100644
--- a/ldm_patched/contrib/external_model_advanced.py
+++ b/ldm_patched/contrib/external_model_advanced.py
@@ -70,7 +70,7 @@ class ModelSamplingDiscrete:
     @classmethod
     def INPUT_TYPES(s):
         return {"required": { "model": ("MODEL",),
-                              "sampling": (["eps", "v_prediction", "lcm"],),
+                              "sampling": (["eps", "v_prediction", "lcm", "tcd"]),
                               "zsnr": ("BOOLEAN", {"default": False}),
                               }}
 
@@ -90,6 +90,9 @@ class ModelSamplingDiscrete:
         elif sampling == "lcm":
             sampling_type = LCM
             sampling_base = ModelSamplingDiscreteDistilled
+        elif sampling == "tcd":
+            sampling_type = ldm_patched.modules.model_sampling.EPS
+            sampling_base = ModelSamplingDiscreteDistilled
 
         class ModelSamplingAdvanced(sampling_base, sampling_type):
             pass
diff --git a/ldm_patched/k_diffusion/sampling.py b/ldm_patched/k_diffusion/sampling.py
index 761c2e0e..d1bc1e4b 100644
--- a/ldm_patched/k_diffusion/sampling.py
+++ b/ldm_patched/k_diffusion/sampling.py
@@ -752,7 +752,6 @@ def sample_lcm(model, x, sigmas, extra_args=None, callback=None, disable=None, n
     return x
 
 
-
 @torch.no_grad()
 def sample_heunpp2(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.):
     # From MIT licensed: https://github.com/Carzit/sd-webui-samplers-scheduler/
@@ -808,3 +807,30 @@ def sample_heunpp2(model, x, sigmas, extra_args=None, callback=None, disable=Non
             d_prime = w1 * d + w2 * d_2 + w3 * d_3
             x = x + d_prime * dt
     return x
+
+
+@torch.no_grad()
+def sample_tcd(model, x, sigmas, extra_args=None, callback=None, disable=None, noise_sampler=None, eta=0.3):
+    extra_args = {} if extra_args is None else extra_args
+    noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
+    s_in = x.new_ones([x.shape[0]])
+
+    model_sampling = model.inner_model.inner_model.model_sampling
+    timesteps_s = torch.floor((1 - eta) * model_sampling.timestep(sigmas)).to(dtype=torch.long).detach().cpu()
+    timesteps_s[-1] = 0
+    alpha_prod_s = model_sampling.alphas_cumprod[timesteps_s]
+    beta_prod_s = 1 - alpha_prod_s
+    for i in trange(len(sigmas) - 1, disable=disable):
+        denoised = model(x, sigmas[i] * s_in, **extra_args)  # predicted_original_sample
+        eps = (x - denoised) / sigmas[i]
+        denoised = alpha_prod_s[i + 1].sqrt() * denoised + beta_prod_s[i + 1].sqrt() * eps
+
+        if callback is not None:
+            callback({"x": x, "i": i, "sigma": sigmas[i], "sigma_hat": sigmas[i], "denoised": denoised})
+
+        x = denoised
+        if eta > 0 and sigmas[i + 1] > 0:
+            noise = noise_sampler(sigmas[i], sigmas[i + 1])
+            x = x / alpha_prod_s[i+1].sqrt() + noise * (sigmas[i+1]**2 + 1 - 1/alpha_prod_s[i+1]).sqrt()
+
+    return x
\ No newline at end of file
diff --git a/ldm_patched/modules/model_sampling.py b/ldm_patched/modules/model_sampling.py
index f39e275d..57f51a00 100644
--- a/ldm_patched/modules/model_sampling.py
+++ b/ldm_patched/modules/model_sampling.py
@@ -50,17 +50,17 @@ class ModelSamplingDiscrete(torch.nn.Module):
         self.linear_start = linear_start
         self.linear_end = linear_end
 
-        # self.register_buffer('betas', torch.tensor(betas, dtype=torch.float32))
-        # self.register_buffer('alphas_cumprod', torch.tensor(alphas_cumprod, dtype=torch.float32))
-        # self.register_buffer('alphas_cumprod_prev', torch.tensor(alphas_cumprod_prev, dtype=torch.float32))
-
         sigmas = ((1 - alphas_cumprod) / alphas_cumprod) ** 0.5
         self.set_sigmas(sigmas)
+        self.set_alphas_cumprod(alphas_cumprod.float())
 
     def set_sigmas(self, sigmas):
         self.register_buffer('sigmas', sigmas)
         self.register_buffer('log_sigmas', sigmas.log())
 
+    def set_alphas_cumprod(self, alphas_cumprod):
+        self.register_buffer("alphas_cumprod", alphas_cumprod.float())
+
     @property
     def sigma_min(self):
         return self.sigmas[0]
diff --git a/ldm_patched/modules/samplers.py b/ldm_patched/modules/samplers.py
index 1f69d2b1..35cb3d73 100644
--- a/ldm_patched/modules/samplers.py
+++ b/ldm_patched/modules/samplers.py
@@ -523,7 +523,7 @@ class UNIPCBH2(Sampler):
 
 KSAMPLER_NAMES = ["euler", "euler_ancestral", "heun", "heunpp2","dpm_2", "dpm_2_ancestral",
                   "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu",
-                  "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm"]
+                  "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "tcd"]
 
 class KSAMPLER(Sampler):
     def __init__(self, sampler_function, extra_options={}, inpaint_options={}):
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 7f0a46e3..1dabf89c 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -798,19 +798,19 @@ def worker():
         final_sampler_name = sampler_name
         final_scheduler_name = scheduler_name
 
-        if scheduler_name == 'lcm':
+        if scheduler_name in ['lcm', 'tcd']:
             final_scheduler_name = 'sgm_uniform'
             if pipeline.final_unet is not None:
                 pipeline.final_unet = core.opModelSamplingDiscrete.patch(
                     pipeline.final_unet,
-                    sampling='lcm',
+                    sampling=scheduler_name,
                     zsnr=False)[0]
             if pipeline.final_refiner_unet is not None:
                 pipeline.final_refiner_unet = core.opModelSamplingDiscrete.patch(
                     pipeline.final_refiner_unet,
-                    sampling='lcm',
+                    sampling=scheduler_name,
                     zsnr=False)[0]
-            print('Using lcm scheduler.')
+            print(f'Using {scheduler_name} scheduler.')
 
         async_task.yields.append(['preview', (13, 'Moving model to GPU ...', None)])
 
diff --git a/modules/flags.py b/modules/flags.py
index 0c605439..cb4c3ec9 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -34,7 +34,8 @@ KSAMPLER = {
     "dpmpp_3m_sde": "",
     "dpmpp_3m_sde_gpu": "",
     "ddpm": "",
-    "lcm": "LCM"
+    "lcm": "LCM",
+    "tcd": "TCD"
 }
 
 SAMPLER_EXTRA = {
@@ -47,7 +48,7 @@ SAMPLERS = KSAMPLER | SAMPLER_EXTRA
 
 KSAMPLER_NAMES = list(KSAMPLER.keys())
 
-SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo", "align_your_steps"]
+SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo", "align_your_steps", "tcd"]
 SAMPLER_NAMES = KSAMPLER_NAMES + list(SAMPLER_EXTRA.keys())
 
 sampler_list = SAMPLER_NAMES
diff --git a/modules/patch_precision.py b/modules/patch_precision.py
index 83569bdd..22ffda0a 100644
--- a/modules/patch_precision.py
+++ b/modules/patch_precision.py
@@ -51,6 +51,8 @@ def patched_register_schedule(self, given_betas=None, beta_schedule="linear", ti
     self.linear_end = linear_end
     sigmas = torch.tensor(((1 - alphas_cumprod) / alphas_cumprod) ** 0.5, dtype=torch.float32)
     self.set_sigmas(sigmas)
+    alphas_cumprod = torch.tensor(alphas_cumprod, dtype=torch.float32)
+    self.set_alphas_cumprod(alphas_cumprod)
     return
 
 

From 13599edb9b5066649c3ac31bb5a7b15403fd6297 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 19 May 2024 13:23:08 +0200
Subject: [PATCH 136/180] feat: add performance hyper-sd based on 4step LoRA
 (#2812)

* feat: add performance hyper-sd based on 4step LoRA

* feat: use LoRA weight 0.8, sampler dpmpp_sde_gpu and scheduler_name karras

suggested in https://github.com/lllyasviel/Fooocus/discussions/2813#discussioncomment-9245251
results see https://github.com/lllyasviel/Fooocus/discussions/2813#discussioncomment-9275251

* feat: change ByteDance huggingface profile with mashb1t

* wip: add hyper-sd 8 step cfg lora with negative prompt support

* feat: remove hyper-sd8 performance

still waiting for the release of hyper-sd 4step CFG LoRA, not yet satisfied with any of the CFG LoRAs compared to non-cfg ones.
see https://huggingface.co/ByteDance/Hyper-SD
---
 modules/async_worker.py | 27 +++++++++++++++++++++++++++
 modules/config.py       | 14 ++++++++++++--
 modules/flags.py        |  5 ++++-
 3 files changed, 43 insertions(+), 3 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 1dabf89c..cf1eda30 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -275,6 +275,33 @@ def worker():
             adm_scaler_negative = 1.0
             adm_scaler_end = 0.0
 
+        elif performance_selection == Performance.HYPER_SD:
+            print('Enter Hyper-SD mode.')
+            progressbar(async_task, 1, 'Downloading Hyper-SD components ...')
+            loras += [(modules.config.downloading_sdxl_hyper_sd_lora(), 0.8)]
+
+            if refiner_model_name != 'None':
+                print(f'Refiner disabled in Hyper-SD mode.')
+
+            refiner_model_name = 'None'
+            sampler_name = 'dpmpp_sde_gpu'
+            scheduler_name = 'karras'
+            sharpness = 0.0
+            guidance_scale = 1.0
+            adaptive_cfg = 1.0
+            refiner_switch = 1.0
+            adm_scaler_positive = 1.0
+            adm_scaler_negative = 1.0
+            adm_scaler_end = 0.0
+
+        elif performance_selection == Performance.HYPER_SD8:
+            print('Enter Hyper-SD8 mode.')
+            progressbar(async_task, 1, 'Downloading Hyper-SD components ...')
+            loras += [(modules.config.downloading_sdxl_hyper_sd_cfg_lora(), 0.3)]
+
+            sampler_name = 'dpmpp_sde_gpu'
+            scheduler_name = 'normal'
+
         print(f'[Parameters] Adaptive CFG = {adaptive_cfg}')
         print(f'[Parameters] Sharpness = {sharpness}')
         print(f'[Parameters] ControlNet Softness = {controlnet_softness}')
diff --git a/modules/config.py b/modules/config.py
index 11fe3181..db7036c5 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -553,7 +553,8 @@ wildcard_filenames = []
 
 sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
 sdxl_lightning_lora = 'sdxl_lightning_4step_lora.safetensors'
-loras_metadata_remove = [sdxl_lcm_lora, sdxl_lightning_lora]
+sdxl_hyper_sd_lora = 'sdxl_hyper_sd_4step_lora.safetensors'
+loras_metadata_remove = [sdxl_lcm_lora, sdxl_lightning_lora, sdxl_hyper_sd_lora]
 
 
 def get_model_filenames(folder_paths, extensions=None, name_filter=None):
@@ -627,13 +628,22 @@ def downloading_sdxl_lcm_lora():
 
 def downloading_sdxl_lightning_lora():
     load_file_from_url(
-        url='https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_4step_lora.safetensors',
+        url='https://huggingface.co/mashb1t/misc/resolve/main/sdxl_lightning_4step_lora.safetensors',
         model_dir=paths_loras[0],
         file_name=sdxl_lightning_lora
     )
     return sdxl_lightning_lora
 
 
+def downloading_sdxl_hyper_sd_lora():
+    load_file_from_url(
+        url='https://huggingface.co/mashb1t/misc/resolve/main/sdxl_hyper_sd_4step_lora.safetensors',
+        model_dir=paths_loras[0],
+        file_name=sdxl_hyper_sd_lora
+    )
+    return sdxl_hyper_sd_lora
+
+
 def downloading_controlnet_canny():
     load_file_from_url(
         url='https://huggingface.co/lllyasviel/misc/resolve/main/control-lora-canny-rank128.safetensors',
diff --git a/modules/flags.py b/modules/flags.py
index cb4c3ec9..77ad012a 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -110,6 +110,7 @@ class Steps(IntEnum):
     SPEED = 30
     EXTREME_SPEED = 8
     LIGHTNING = 4
+    HYPER_SD = 4
 
 
 class StepsUOV(IntEnum):
@@ -117,6 +118,7 @@ class StepsUOV(IntEnum):
     SPEED = 18
     EXTREME_SPEED = 8
     LIGHTNING = 4
+    HYPER_SD = 4
 
 
 class Performance(Enum):
@@ -124,6 +126,7 @@ class Performance(Enum):
     SPEED = 'Speed'
     EXTREME_SPEED = 'Extreme Speed'
     LIGHTNING = 'Lightning'
+    HYPER_SD = 'Hyper-SD'
 
     @classmethod
     def list(cls) -> list:
@@ -133,7 +136,7 @@ class Performance(Enum):
     def has_restricted_features(cls, x) -> bool:
         if isinstance(x, Performance):
             x = x.value
-        return x in [cls.EXTREME_SPEED.value, cls.LIGHTNING.value]
+        return x in [cls.EXTREME_SPEED.value, cls.LIGHTNING.value, cls.HYPER_SD.value]
 
     def steps(self) -> int | None:
         return Steps[self.name].value if Steps[self.name] else None

From 0466ff944c96632e100a4cc988f7d02288ce7d3b Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Sun, 19 May 2024 14:29:10 +0200
Subject: [PATCH 137/180] release: bump version number to 2.4.0-rc1

---
 fooocus_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index b2050196..def34a20 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.3.1'
+version = '2.4.0-rc1'

From dad228907e5ae290f441510aafb3b07bd75a98ea Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 19 May 2024 17:42:46 +0200
Subject: [PATCH 138/180] fix: remove leftover code from hyper-sd8 testing
 (#2959)

---
 modules/async_worker.py | 8 --------
 1 file changed, 8 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index cf1eda30..892f99a7 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -294,14 +294,6 @@ def worker():
             adm_scaler_negative = 1.0
             adm_scaler_end = 0.0
 
-        elif performance_selection == Performance.HYPER_SD8:
-            print('Enter Hyper-SD8 mode.')
-            progressbar(async_task, 1, 'Downloading Hyper-SD components ...')
-            loras += [(modules.config.downloading_sdxl_hyper_sd_cfg_lora(), 0.3)]
-
-            sampler_name = 'dpmpp_sde_gpu'
-            scheduler_name = 'normal'
-
         print(f'[Parameters] Adaptive CFG = {adaptive_cfg}')
         print(f'[Parameters] Sharpness = {sharpness}')
         print(f'[Parameters] ControlNet Softness = {controlnet_softness}')

From 35b74dfa64b2efe8dd7652577eec443f45c56939 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 19 May 2024 18:02:24 +0200
Subject: [PATCH 139/180] feat: optimize model management of image censoring
 (#2960)

now follows general Fooocus model management principles + includes code optimisations for reusability
---
 extras/censor.py        | 96 +++++++++++++++++++++--------------------
 modules/async_worker.py | 15 ++++---
 2 files changed, 58 insertions(+), 53 deletions(-)

diff --git a/extras/censor.py b/extras/censor.py
index 2047db24..45617fd8 100644
--- a/extras/censor.py
+++ b/extras/censor.py
@@ -1,56 +1,60 @@
-# modified version of https://github.com/AUTOMATIC1111/stable-diffusion-webui-nsfw-censor/blob/master/scripts/censor.py
-import numpy as np
 import os
 
-from extras.safety_checker.models.safety_checker import StableDiffusionSafetyChecker
-from transformers import CLIPFeatureExtractor, CLIPConfig
-from PIL import Image
+import numpy as np
+import torch
+from transformers import CLIPConfig, CLIPImageProcessor
+
+import ldm_patched.modules.model_management as model_management
 import modules.config
+from extras.safety_checker.models.safety_checker import StableDiffusionSafetyChecker
+from ldm_patched.modules.model_patcher import ModelPatcher
 
 safety_checker_repo_root = os.path.join(os.path.dirname(__file__), 'safety_checker')
 config_path = os.path.join(safety_checker_repo_root, "configs", "config.json")
 preprocessor_config_path = os.path.join(safety_checker_repo_root, "configs", "preprocessor_config.json")
 
-safety_feature_extractor = None
-safety_checker = None
+
+class Censor:
+    def __init__(self):
+        self.safety_checker_model: ModelPatcher | None = None
+        self.clip_image_processor: CLIPImageProcessor | None = None
+        self.load_device = torch.device('cpu')
+        self.offload_device = torch.device('cpu')
+
+    def init(self):
+        if self.safety_checker_model is None and self.clip_image_processor is None:
+            safety_checker_model = modules.config.downloading_safety_checker_model()
+            self.clip_image_processor = CLIPImageProcessor.from_json_file(preprocessor_config_path)
+            clip_config = CLIPConfig.from_json_file(config_path)
+            model = StableDiffusionSafetyChecker.from_pretrained(safety_checker_model, config=clip_config)
+            model.eval()
+
+            self.load_device = model_management.text_encoder_device()
+            self.offload_device = model_management.text_encoder_offload_device()
+
+            model.to(self.offload_device)
+
+            self.safety_checker_model = ModelPatcher(model, load_device=self.load_device, offload_device=self.offload_device)
+
+    def censor(self, images: list | np.ndarray) -> list | np.ndarray:
+        self.init()
+        model_management.load_model_gpu(self.safety_checker_model)
+
+        single = False
+        if not isinstance(images, list) or isinstance(images, np.ndarray):
+            images = [images]
+            single = True
+
+        safety_checker_input = self.clip_image_processor(images, return_tensors="pt")
+        safety_checker_input.to(device=self.load_device)
+        checked_images, has_nsfw_concept = self.safety_checker_model.model(images=images,
+                                                                           clip_input=safety_checker_input.pixel_values)
+        checked_images = [image.astype(np.uint8) for image in checked_images]
+
+        if single:
+            checked_images = checked_images[0]
+
+        return checked_images
 
 
-def numpy_to_pil(image):
-    image = (image * 255).round().astype("uint8")
-    pil_image = Image.fromarray(image)
-
-    return pil_image
-
-
-# check and replace nsfw content
-def check_safety(x_image):
-    global safety_feature_extractor, safety_checker
-
-    if safety_feature_extractor is None or safety_checker is None:
-        safety_checker_model = modules.config.downloading_safety_checker_model()
-        safety_feature_extractor = CLIPFeatureExtractor.from_json_file(preprocessor_config_path)
-        clip_config = CLIPConfig.from_json_file(config_path)
-        safety_checker = StableDiffusionSafetyChecker.from_pretrained(safety_checker_model, config=clip_config)
-
-    safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt")
-    x_checked_image, has_nsfw_concept = safety_checker(images=x_image, clip_input=safety_checker_input.pixel_values)
-
-    return x_checked_image, has_nsfw_concept
-
-
-def censor_single(x):
-    x_checked_image, has_nsfw_concept = check_safety(x)
-
-    # replace image with black pixels, keep dimensions
-    # workaround due to different numpy / pytorch image matrix format
-    if has_nsfw_concept[0]:
-        imageshape = x_checked_image.shape
-        x_checked_image = np.zeros((imageshape[0], imageshape[1], 3), dtype = np.uint8)
-
-    return x_checked_image
-
-
-def censor_batch(images):
-    images = [censor_single(image) for image in images]
-
-    return images
\ No newline at end of file
+default_censor = Censor().censor
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 892f99a7..302db84c 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -44,7 +44,7 @@ def worker():
     import fooocus_version
     import args_manager
 
-    from extras.censor import censor_batch, censor_single
+    from extras.censor import default_censor
     from modules.sdxl_styles import apply_style, get_random_style, fooocus_expansion, apply_arrays, random_style_name
     from modules.private_logger import log
     from extras.expansion import safe_str
@@ -78,7 +78,7 @@ def worker():
 
         if censor and (modules.config.default_black_out_nsfw or black_out_nsfw):
             progressbar(async_task, progressbar_index, 'Checking for NSFW content ...')
-            imgs = censor_batch(imgs)
+            imgs = default_censor(imgs)
 
         async_task.results = async_task.results + imgs
 
@@ -615,7 +615,8 @@ def worker():
                 d = [('Upscale (Fast)', 'upscale_fast', '2x')]
                 if modules.config.default_black_out_nsfw or black_out_nsfw:
                     progressbar(async_task, 100, 'Checking for NSFW content ...')
-                    uov_input_image = censor_single(uov_input_image)
+                    uov_input_image = default_censor(uov_input_image)
+                progressbar(async_task, 100, 'Saving image to system ...')
                 uov_input_image_path = log(uov_input_image, d, output_format=output_format)
                 yield_result(async_task, uov_input_image_path, black_out_nsfw, False, do_not_show_finished_images=True)
                 return
@@ -883,12 +884,12 @@ def worker():
                     imgs = [inpaint_worker.current_task.post_process(x) for x in imgs]
 
                 img_paths = []
-
+                current_progress = int(15.0 + 85.0 * float((current_task_id + 1) * steps) / float(all_steps))
                 if modules.config.default_black_out_nsfw or black_out_nsfw:
-                    progressbar(async_task, int(15.0 + 85.0 * float((current_task_id + 1) * steps) / float(all_steps)),
-                                'Checking for NSFW content ...')
-                    imgs = censor_batch(imgs)
+                    progressbar(async_task, current_progress, 'Checking for NSFW content ...')
+                    imgs = default_censor(imgs)
 
+                progressbar(async_task, current_progress, 'Saving image to system ...')
                 for x in imgs:
                     d = [('Prompt', 'prompt', task['log_positive_prompt']),
                          ('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),

From e94b97604f245c137bced3c5a941b45667f1483b Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Sun, 19 May 2024 18:37:18 +0200
Subject: [PATCH 140/180] release: bump version number to 2.4.0-rc2

---
 fooocus_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index def34a20..41556f90 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.4.0-rc1'
+version = '2.4.0-rc2'

From c9955117050bd32a4fbc7e4af694b51e79c64ad1 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 19 May 2024 20:43:11 +0200
Subject: [PATCH 141/180] feat: progress bar improvements (#2962)

* feat: align progress bar vertically

* feat: use fixed width for status text, remove ordinals

* refactor: align progress to actions
---
 css/style.css           |  6 ++++++
 modules/async_worker.py | 37 +++++++++++++++++++------------------
 modules/flags.py        |  1 +
 modules/util.py         |  4 ----
 4 files changed, 26 insertions(+), 22 deletions(-)

diff --git a/css/style.css b/css/style.css
index b9e6e2ce..b5f7a448 100644
--- a/css/style.css
+++ b/css/style.css
@@ -27,6 +27,7 @@ progress {
   border-radius: 5px; /* Round the corners of the progress bar */
   background-color: #f3f3f3; /* Light grey background */
   width: 100%;
+  vertical-align: middle !important;
 }
 
 /* Style the progress bar container */
@@ -69,6 +70,11 @@ progress::after {
   height: 30px !important;
 }
 
+.progress-bar span {
+    text-align: right;
+    width: 200px;
+}
+
 .type_row{
   height: 80px !important;
 }
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 302db84c..8e4d6d95 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -49,7 +49,7 @@ def worker():
     from modules.private_logger import log
     from extras.expansion import safe_str
     from modules.util import (remove_empty_str, HWC3, resize_image, get_image_shape_ceil, set_image_shape_ceil,
-                              get_shape_ceil, resample_image, erode_or_dilate, ordinal_suffix, get_enabled_loras,
+                              get_shape_ceil, resample_image, erode_or_dilate, get_enabled_loras,
                               parse_lora_references_from_prompt, apply_wildcards)
     from modules.upscaler import perform_upscale
     from modules.flags import Performance
@@ -72,7 +72,7 @@ def worker():
         async_task.yields.append(['preview', (number, text, None)])
 
     def yield_result(async_task, imgs, black_out_nsfw, censor=True, do_not_show_finished_images=False,
-                     progressbar_index=13):
+                     progressbar_index=flags.preparation_step_count):
         if not isinstance(imgs, list):
             imgs = [imgs]
 
@@ -456,7 +456,7 @@ def worker():
             extra_positive_prompts = prompts[1:] if len(prompts) > 1 else []
             extra_negative_prompts = negative_prompts[1:] if len(negative_prompts) > 1 else []
 
-            progressbar(async_task, 3, 'Loading models ...')
+            progressbar(async_task, 2, 'Loading models ...')
 
             loras = parse_lora_references_from_prompt(prompt, loras, modules.config.default_max_lora_number)
 
@@ -523,25 +523,25 @@ def worker():
 
             if use_expansion:
                 for i, t in enumerate(tasks):
-                    progressbar(async_task, 5, f'Preparing Fooocus text #{i + 1} ...')
+                    progressbar(async_task, 4, f'Preparing Fooocus text #{i + 1} ...')
                     expansion = pipeline.final_expansion(t['task_prompt'], t['task_seed'])
                     print(f'[Prompt Expansion] {expansion}')
                     t['expansion'] = expansion
                     t['positive'] = copy.deepcopy(t['positive']) + [expansion]  # Deep copy.
 
             for i, t in enumerate(tasks):
-                progressbar(async_task, 7, f'Encoding positive #{i + 1} ...')
+                progressbar(async_task, 5, f'Encoding positive #{i + 1} ...')
                 t['c'] = pipeline.clip_encode(texts=t['positive'], pool_top_k=t['positive_top_k'])
 
             for i, t in enumerate(tasks):
                 if abs(float(cfg_scale) - 1.0) < 1e-4:
                     t['uc'] = pipeline.clone_cond(t['c'])
                 else:
-                    progressbar(async_task, 10, f'Encoding negative #{i + 1} ...')
+                    progressbar(async_task, 6, f'Encoding negative #{i + 1} ...')
                     t['uc'] = pipeline.clip_encode(texts=t['negative'], pool_top_k=t['negative_top_k'])
 
         if len(goals) > 0:
-            progressbar(async_task, 13, 'Image processing ...')
+            progressbar(async_task, 7, 'Image processing ...')
 
         if 'vary' in goals:
             if 'subtle' in uov_method:
@@ -562,7 +562,7 @@ def worker():
             uov_input_image = set_image_shape_ceil(uov_input_image, shape_ceil)
 
             initial_pixels = core.numpy_to_pytorch(uov_input_image)
-            progressbar(async_task, 13, 'VAE encoding ...')
+            progressbar(async_task, 8, 'VAE encoding ...')
 
             candidate_vae, _ = pipeline.get_candidate_vae(
                 steps=steps,
@@ -579,7 +579,7 @@ def worker():
 
         if 'upscale' in goals:
             H, W, C = uov_input_image.shape
-            progressbar(async_task, 13, f'Upscaling image from {str((H, W))} ...')
+            progressbar(async_task, 9, f'Upscaling image from {str((H, W))} ...')
             uov_input_image = perform_upscale(uov_input_image)
             print(f'Image upscaled.')
 
@@ -628,7 +628,7 @@ def worker():
                 denoising_strength = overwrite_upscale_strength
 
             initial_pixels = core.numpy_to_pytorch(uov_input_image)
-            progressbar(async_task, 13, 'VAE encoding ...')
+            progressbar(async_task, 10, 'VAE encoding ...')
 
             candidate_vae, _ = pipeline.get_candidate_vae(
                 steps=steps,
@@ -686,7 +686,7 @@ def worker():
                              do_not_show_finished_images=True)
                 return
 
-            progressbar(async_task, 13, 'VAE Inpaint encoding ...')
+            progressbar(async_task, 11, 'VAE Inpaint encoding ...')
 
             inpaint_pixel_fill = core.numpy_to_pytorch(inpaint_worker.current_task.interested_fill)
             inpaint_pixel_image = core.numpy_to_pytorch(inpaint_worker.current_task.interested_image)
@@ -706,7 +706,7 @@ def worker():
 
             latent_swap = None
             if candidate_vae_swap is not None:
-                progressbar(async_task, 13, 'VAE SD15 encoding ...')
+                progressbar(async_task, 12, 'VAE SD15 encoding ...')
                 latent_swap = core.encode_vae(
                     vae=candidate_vae_swap,
                     pixels=inpaint_pixel_fill)['samples']
@@ -832,16 +832,17 @@ def worker():
                     zsnr=False)[0]
             print(f'Using {scheduler_name} scheduler.')
 
-        async_task.yields.append(['preview', (13, 'Moving model to GPU ...', None)])
+        async_task.yields.append(['preview', (flags.preparation_step_count, 'Moving model to GPU ...', None)])
 
         def callback(step, x0, x, total_steps, y):
             done_steps = current_task_id * steps + step
             async_task.yields.append(['preview', (
-                int(15.0 + 85.0 * float(done_steps) / float(all_steps)),
-                f'Step {step}/{total_steps} in the {current_task_id + 1}{ordinal_suffix(current_task_id + 1)} Sampling',
-                y)])
+                int(flags.preparation_step_count + (100 - flags.preparation_step_count) * float(done_steps) / float(all_steps)),
+                f'Sampling step {step + 1}/{total_steps}, image {current_task_id + 1}/{image_number} ...', y)])
 
         for current_task_id, task in enumerate(tasks):
+            current_progress = int(flags.preparation_step_count + (100 - flags.preparation_step_count) * float(current_task_id * steps) / float(all_steps))
+            progressbar(async_task, current_progress, f'Preparing task {current_task_id + 1}/{image_number} ...')
             execution_start_time = time.perf_counter()
 
             try:
@@ -884,12 +885,12 @@ def worker():
                     imgs = [inpaint_worker.current_task.post_process(x) for x in imgs]
 
                 img_paths = []
-                current_progress = int(15.0 + 85.0 * float((current_task_id + 1) * steps) / float(all_steps))
+                current_progress = int(flags.preparation_step_count + (100 - flags.preparation_step_count) * float((current_task_id + 1) * steps) / float(all_steps))
                 if modules.config.default_black_out_nsfw or black_out_nsfw:
                     progressbar(async_task, current_progress, 'Checking for NSFW content ...')
                     imgs = default_censor(imgs)
 
-                progressbar(async_task, current_progress, 'Saving image to system ...')
+                progressbar(async_task, current_progress, f'Saving image {current_task_id + 1}/{image_number} to system ...')
                 for x in imgs:
                     d = [('Prompt', 'prompt', task['log_positive_prompt']),
                          ('Negative Prompt', 'negative_prompt', task['log_negative_prompt']),
diff --git a/modules/flags.py b/modules/flags.py
index 77ad012a..7b3ac393 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -93,6 +93,7 @@ metadata_scheme = [
 ]
 
 controlnet_image_count = 4
+preparation_step_count = 13
 
 
 class OutputFormat(Enum):
diff --git a/modules/util.py b/modules/util.py
index 73430230..8e85ffbe 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -372,10 +372,6 @@ def get_file_from_folder_list(name, folders):
     return os.path.abspath(os.path.realpath(os.path.join(folders[0], name)))
 
 
-def ordinal_suffix(number: int) -> str:
-    return 'th' if 10 <= number % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(number % 10, 'th')
-
-
 def makedirs_with_log(path):
     try:
         os.makedirs(path, exist_ok=True)

From 65a8b25129c52ccb6f9fe5933202712b533c977d Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Mon, 20 May 2024 17:31:51 +0200
Subject: [PATCH 142/180] feat: inline lora optimisations (#2967)

* feat: add performance loras to the end of the loras array

* fix: resolve circular dependency for unit tests

* feat: allow multiple matches for each token, optimize and extract method cleanup_prompt

* fix: update unit tests

* feat: ignore custom wildcards
---
 modules/async_worker.py | 12 +++++----
 modules/config.py       |  3 +--
 modules/extra_utils.py  |  6 +++++
 modules/util.py         | 60 +++++++++++++++++++++++++++++------------
 tests/test_utils.py     | 41 +++++++++++++++++++---------
 wildcards/.gitignore    |  8 ++++++
 6 files changed, 93 insertions(+), 37 deletions(-)
 create mode 100644 wildcards/.gitignore

diff --git a/modules/async_worker.py b/modules/async_worker.py
index 8e4d6d95..594886d2 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -237,10 +237,12 @@ def worker():
 
         steps = performance_selection.steps()
 
+        performance_loras = []
+
         if performance_selection == Performance.EXTREME_SPEED:
             print('Enter LCM mode.')
             progressbar(async_task, 1, 'Downloading LCM components ...')
-            loras += [(modules.config.downloading_sdxl_lcm_lora(), 1.0)]
+            performance_loras += [(modules.config.downloading_sdxl_lcm_lora(), 1.0)]
 
             if refiner_model_name != 'None':
                 print(f'Refiner disabled in LCM mode.')
@@ -259,7 +261,7 @@ def worker():
         elif performance_selection == Performance.LIGHTNING:
             print('Enter Lightning mode.')
             progressbar(async_task, 1, 'Downloading Lightning components ...')
-            loras += [(modules.config.downloading_sdxl_lightning_lora(), 1.0)]
+            performance_loras += [(modules.config.downloading_sdxl_lightning_lora(), 1.0)]
 
             if refiner_model_name != 'None':
                 print(f'Refiner disabled in Lightning mode.')
@@ -278,7 +280,7 @@ def worker():
         elif performance_selection == Performance.HYPER_SD:
             print('Enter Hyper-SD mode.')
             progressbar(async_task, 1, 'Downloading Hyper-SD components ...')
-            loras += [(modules.config.downloading_sdxl_hyper_sd_lora(), 0.8)]
+            performance_loras += [(modules.config.downloading_sdxl_hyper_sd_lora(), 0.8)]
 
             if refiner_model_name != 'None':
                 print(f'Refiner disabled in Hyper-SD mode.')
@@ -458,8 +460,8 @@ def worker():
 
             progressbar(async_task, 2, 'Loading models ...')
 
-            loras = parse_lora_references_from_prompt(prompt, loras, modules.config.default_max_lora_number)
-
+            loras, prompt = parse_lora_references_from_prompt(prompt, loras, modules.config.default_max_lora_number)
+            loras += performance_loras
             pipeline.refresh_everything(refiner_model_name=refiner_model_name, base_model_name=base_model_name,
                                         loras=loras, base_model_additional_loras=base_model_additional_loras,
                                         use_synthetic_refiner=use_synthetic_refiner, vae_name=vae_name)
diff --git a/modules/config.py b/modules/config.py
index db7036c5..913fb281 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -8,8 +8,7 @@ import modules.flags
 import modules.sdxl_styles
 
 from modules.model_loader import load_file_from_url
-from modules.util import makedirs_with_log
-from modules.extra_utils import get_files_from_folder
+from modules.extra_utils import makedirs_with_log, get_files_from_folder
 from modules.flags import OutputFormat, Performance, MetadataScheme
 
 
diff --git a/modules/extra_utils.py b/modules/extra_utils.py
index 3e95e8b5..9906c820 100644
--- a/modules/extra_utils.py
+++ b/modules/extra_utils.py
@@ -1,5 +1,11 @@
 import os
 
+def makedirs_with_log(path):
+    try:
+        os.makedirs(path, exist_ok=True)
+    except OSError as error:
+        print(f'Directory {path} could not be created, reason: {error}')
+
 
 def get_files_from_folder(folder_path, extensions=None, name_filter=None):
     if not os.path.isdir(folder_path):
diff --git a/modules/util.py b/modules/util.py
index 8e85ffbe..52bc490a 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -12,15 +12,15 @@ import hashlib
 
 from PIL import Image
 
+import modules.config
 import modules.sdxl_styles
 
 LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
 
-
 # Regexp compiled once. Matches entries with the following pattern:
 # <lora:some_lora:1>
 # <lora:aNotherLora:-1.6>
-LORAS_PROMPT_PATTERN = re.compile(r".* <lora : ([^:]+) : ([+-]? (?: (?:\d+ (?:\.\d*)?) | (?:\.\d+)))> .*", re.X)
+LORAS_PROMPT_PATTERN = re.compile(r"(<lora:([^:]+):([+-]?(?:\d+(?:\.\d*)?|\.\d+))>)", re.X)
 
 HASH_SHA256_LENGTH = 10
 
@@ -372,31 +372,57 @@ def get_file_from_folder_list(name, folders):
     return os.path.abspath(os.path.realpath(os.path.join(folders[0], name)))
 
 
-def makedirs_with_log(path):
-    try:
-        os.makedirs(path, exist_ok=True)
-    except OSError as error:
-        print(f'Directory {path} could not be created, reason: {error}')
+def get_enabled_loras(loras: list, remove_none=True) -> list:
+    return [(lora[1], lora[2]) for lora in loras if lora[0] and (lora[1] != 'None' if remove_none else True)]
 
 
-def get_enabled_loras(loras: list) -> list:
-    return [(lora[1], lora[2]) for lora in loras if lora[0]]
+def parse_lora_references_from_prompt(prompt: str, loras: List[Tuple[AnyStr, float]], loras_limit: int = 5,
+                                      prompt_cleanup=True, deduplicate_loras=True) -> tuple[List[Tuple[AnyStr, float]], str]:
+    found_loras = []
+    prompt_without_loras = ""
+    for token in prompt.split(" "):
+        matches = LORAS_PROMPT_PATTERN.findall(token)
 
+        if matches:
+            for match in matches:
+                found_loras.append((f"{match[1]}.safetensors", float(match[2])))
+                prompt_without_loras += token.replace(match[0], '')
+        else:
+            prompt_without_loras += token
+        prompt_without_loras += ' '
+
+    cleaned_prompt = prompt_without_loras[:-1]
+    if prompt_cleanup:
+        cleaned_prompt = cleanup_prompt(prompt_without_loras)
 
-def parse_lora_references_from_prompt(prompt: str, loras: List[Tuple[AnyStr, float]], loras_limit: int = 5) -> List[Tuple[AnyStr, float]]:
     new_loras = []
+    lora_names = [lora[0] for lora in loras]
+    for found_lora in found_loras:
+        if deduplicate_loras and found_lora[0] in lora_names:
+            continue
+        new_loras.append(found_lora)
+
+    if len(new_loras) == 0:
+        return loras, cleaned_prompt
+
     updated_loras = []
-    for token in prompt.split(","):
-        m = LORAS_PROMPT_PATTERN.match(token)
-
-        if m:
-            new_loras.append((f"{m.group(1)}.safetensors", float(m.group(2))))
-
     for lora in loras + new_loras:
         if lora[0] != "None":
             updated_loras.append(lora)
 
-    return updated_loras[:loras_limit]
+    return updated_loras[:loras_limit], cleaned_prompt
+
+
+def cleanup_prompt(prompt):
+    prompt = re.sub(' +', ' ', prompt)
+    prompt = re.sub(',+', ',', prompt)
+    cleaned_prompt = ''
+    for token in prompt.split(','):
+        token = token.strip()
+        if token == '':
+            continue
+        cleaned_prompt += token + ', '
+    return cleaned_prompt[:-2]
 
 
 def apply_wildcards(wildcard_text, rng, i, read_wildcards_in_order) -> str:
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 0698dcc8..9f81005b 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -8,12 +8,16 @@ class TestUtils(unittest.TestCase):
         test_cases = [
             {
                 "input": ("some prompt, very cool, <lora:hey-lora:0.4>,  cool   <lora:you-lora:0.2>", [], 5),
-                "output": [("hey-lora.safetensors", 0.4), ("you-lora.safetensors", 0.2)],
+                "output": (
+                    [('hey-lora.safetensors', 0.4), ('you-lora.safetensors', 0.2)], 'some prompt, very cool, cool'),
             },
             # Test can not exceed limit
             {
                 "input": ("some prompt, very cool, <lora:hey-lora:0.4>,  cool   <lora:you-lora:0.2>", [], 1),
-                "output": [("hey-lora.safetensors", 0.4)],
+                "output": (
+                    [('hey-lora.safetensors', 0.4)],
+                    'some prompt, very cool, cool'
+                ),
             },
             # test Loras from UI take precedence over prompt
             {
@@ -22,22 +26,33 @@ class TestUtils(unittest.TestCase):
                     [("hey-lora.safetensors", 0.4)],
                     5,
                 ),
-                "output": [
-                    ("hey-lora.safetensors", 0.4),
-                    ("l1.safetensors", 0.4),
-                    ("l2.safetensors", -0.2),
-                    ("l3.safetensors", 0.3),
-                    ("l4.safetensors", 0.5),
-                ],
+                "output": (
+                    [
+                        ('hey-lora.safetensors', 0.4),
+                        ('l1.safetensors', 0.4),
+                        ('l2.safetensors', -0.2),
+                        ('l3.safetensors', 0.3),
+                        ('l4.safetensors', 0.5)
+                    ],
+                    'some prompt, very cool'
+                )
             },
-            # Test lora specification not separated by comma are ignored, only latest specified is used
             {
                 "input": ("some prompt, very cool, <lora:hey-lora:0.4><lora:you-lora:0.2>", [], 3),
-                "output": [("you-lora.safetensors", 0.2)],
+                "output": (
+                    [
+                        ('hey-lora.safetensors', 0.4),
+                        ('you-lora.safetensors', 0.2)
+                    ],
+                    'some prompt, very cool, <lora:you-lora:0.2><lora:hey-lora:0.4>'
+                ),
             },
             {
-                "input": ("<lora:foo:1..2>, <lora:bar:.>, <lora:baz:+> and <lora:quux:>", [], 6),
-                "output": []
+                "input": ("<lora:foo:1..2>, <lora:bar:.>, <test:1.0>, <lora:baz:+> and <lora:quux:>", [], 6),
+                "output": (
+                    [],
+                    '<lora:foo:1..2>, <lora:bar:.>, <test:1.0>, <lora:baz:+> and <lora:quux:>'
+                )
             }
         ]
 
diff --git a/wildcards/.gitignore b/wildcards/.gitignore
new file mode 100644
index 00000000..7e4ac188
--- /dev/null
+++ b/wildcards/.gitignore
@@ -0,0 +1,8 @@
+*.txt
+!animal.txt
+!artist.txt
+!color.txt
+!color_flower.txt
+!extended-color.txt
+!flower.txt
+!nationality.txt
\ No newline at end of file

From ac14d9d03ce731c0f57961ab1fde9c4e276bad99 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Mon, 20 May 2024 17:33:12 +0200
Subject: [PATCH 143/180] feat: change code owner from @lllyasviel to @mashb1t
 (#2948)

---
 .github/CODEOWNERS | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
index 585eb87a..f9876685 100644
--- a/.github/CODEOWNERS
+++ b/.github/CODEOWNERS
@@ -1 +1 @@
-*       @lllyasviel
+*       @mashb1t

From 7537612bcc43cf76a5caf9901e6fcf37099d554e Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Mon, 20 May 2024 19:21:41 +0200
Subject: [PATCH 144/180] feat: only use valid inline loras, add subfolder
 support (#2968)

---
 modules/config.py      | 14 +++++++++++++-
 modules/meta_parser.py | 21 ++++-----------------
 modules/util.py        | 41 +++++++++++++++++++++++++++++------------
 tests/test_utils.py    | 32 +++++++++++++++++++++++++-------
 4 files changed, 71 insertions(+), 37 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index 913fb281..94046661 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -547,6 +547,7 @@ with open(config_example_path, "w", encoding="utf-8") as json_file:
 
 model_filenames = []
 lora_filenames = []
+lora_filenames_no_special = []
 vae_filenames = []
 wildcard_filenames = []
 
@@ -556,6 +557,16 @@ sdxl_hyper_sd_lora = 'sdxl_hyper_sd_4step_lora.safetensors'
 loras_metadata_remove = [sdxl_lcm_lora, sdxl_lightning_lora, sdxl_hyper_sd_lora]
 
 
+def remove_special_loras(lora_filenames):
+    global loras_metadata_remove
+
+    loras_no_special = lora_filenames.copy()
+    for lora_to_remove in loras_metadata_remove:
+        if lora_to_remove in loras_no_special:
+            loras_no_special.remove(lora_to_remove)
+    return loras_no_special
+
+
 def get_model_filenames(folder_paths, extensions=None, name_filter=None):
     if extensions is None:
         extensions = ['.pth', '.ckpt', '.bin', '.safetensors', '.fooocus.patch']
@@ -570,9 +581,10 @@ def get_model_filenames(folder_paths, extensions=None, name_filter=None):
 
 
 def update_files():
-    global model_filenames, lora_filenames, vae_filenames, wildcard_filenames, available_presets
+    global model_filenames, lora_filenames, lora_filenames_no_special, vae_filenames, wildcard_filenames, available_presets
     model_filenames = get_model_filenames(paths_checkpoints)
     lora_filenames = get_model_filenames(paths_loras)
+    lora_filenames_no_special = remove_special_loras(lora_filenames)
     vae_filenames = get_model_filenames(path_vae)
     wildcard_filenames = get_files_from_folder(path_wildcards, ['.txt'])
     available_presets = get_presets()
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 84032e82..2469da5f 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -205,7 +205,6 @@ def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
 def get_sha256(filepath):
     global hash_cache
     if filepath not in hash_cache:
-        # is_safetensors = os.path.splitext(filepath)[1].lower() == '.safetensors'
         hash_cache[filepath] = sha256(filepath)
 
     return hash_cache[filepath]
@@ -293,12 +292,6 @@ class MetadataParser(ABC):
                 self.loras.append((Path(lora_name).stem, lora_weight, lora_hash))
         self.vae_name = Path(vae_name).stem
 
-    @staticmethod
-    def remove_special_loras(lora_filenames):
-        for lora_to_remove in modules.config.loras_metadata_remove:
-            if lora_to_remove in lora_filenames:
-                lora_filenames.remove(lora_to_remove)
-
 
 class A1111MetadataParser(MetadataParser):
     def get_scheme(self) -> MetadataScheme:
@@ -415,13 +408,11 @@ class A1111MetadataParser(MetadataParser):
             lora_data = data['lora_hashes']
 
         if lora_data != '':
-            lora_filenames = modules.config.lora_filenames.copy()
-            self.remove_special_loras(lora_filenames)
             for li, lora in enumerate(lora_data.split(', ')):
                 lora_split = lora.split(': ')
                 lora_name = lora_split[0]
                 lora_weight = lora_split[2] if len(lora_split) == 3 else lora_split[1]
-                for filename in lora_filenames:
+                for filename in modules.config.lora_filenames_no_special:
                     path = Path(filename)
                     if lora_name == path.stem:
                         data[f'lora_combined_{li + 1}'] = f'{filename} : {lora_weight}'
@@ -510,19 +501,15 @@ class FooocusMetadataParser(MetadataParser):
         return MetadataScheme.FOOOCUS
 
     def parse_json(self, metadata: dict) -> dict:
-        model_filenames = modules.config.model_filenames.copy()
-        lora_filenames = modules.config.lora_filenames.copy()
-        vae_filenames = modules.config.vae_filenames.copy()
-        self.remove_special_loras(lora_filenames)
         for key, value in metadata.items():
             if value in ['', 'None']:
                 continue
             if key in ['base_model', 'refiner_model']:
-                metadata[key] = self.replace_value_with_filename(key, value, model_filenames)
+                metadata[key] = self.replace_value_with_filename(key, value, modules.config.model_filenames)
             elif key.startswith('lora_combined_'):
-                metadata[key] = self.replace_value_with_filename(key, value, lora_filenames)
+                metadata[key] = self.replace_value_with_filename(key, value, modules.config.lora_filenames_no_special)
             elif key == 'vae':
-                metadata[key] = self.replace_value_with_filename(key, value, vae_filenames)
+                metadata[key] = self.replace_value_with_filename(key, value, modules.config.vae_filenames)
             else:
                 continue
 
diff --git a/modules/util.py b/modules/util.py
index 52bc490a..cb5580fb 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -1,3 +1,5 @@
+from pathlib import Path
+
 import numpy as np
 import datetime
 import random
@@ -360,6 +362,14 @@ def is_json(data: str) -> bool:
     return True
 
 
+def get_filname_by_stem(lora_name, filenames: List[str]) -> str | None:
+    for filename in filenames:
+        path = Path(filename)
+        if lora_name == path.stem:
+            return filename
+    return None
+
+
 def get_file_from_folder_list(name, folders):
     if not isinstance(folders, list):
         folders = [folders]
@@ -377,28 +387,35 @@ def get_enabled_loras(loras: list, remove_none=True) -> list:
 
 
 def parse_lora_references_from_prompt(prompt: str, loras: List[Tuple[AnyStr, float]], loras_limit: int = 5,
-                                      prompt_cleanup=True, deduplicate_loras=True) -> tuple[List[Tuple[AnyStr, float]], str]:
+                                      skip_file_check=False, prompt_cleanup=True, deduplicate_loras=True) -> tuple[List[Tuple[AnyStr, float]], str]:
     found_loras = []
-    prompt_without_loras = ""
-    for token in prompt.split(" "):
+    prompt_without_loras = ''
+    cleaned_prompt = ''
+    for token in prompt.split(','):
         matches = LORAS_PROMPT_PATTERN.findall(token)
 
-        if matches:
-            for match in matches:
-                found_loras.append((f"{match[1]}.safetensors", float(match[2])))
-                prompt_without_loras += token.replace(match[0], '')
-        else:
-            prompt_without_loras += token
-        prompt_without_loras += ' '
+        if len(matches) == 0:
+            prompt_without_loras += token + ', '
+            continue
+        for match in matches:
+            lora_name = match[1] + '.safetensors'
+            if not skip_file_check:
+                lora_name = get_filname_by_stem(match[1], modules.config.lora_filenames_no_special)
+            if lora_name is not None:
+                found_loras.append((lora_name, float(match[2])))
+            token = token.replace(match[0], '')
+        prompt_without_loras += token + ', '
+
+    if prompt_without_loras != '':
+        cleaned_prompt = prompt_without_loras[:-2]
 
-    cleaned_prompt = prompt_without_loras[:-1]
     if prompt_cleanup:
         cleaned_prompt = cleanup_prompt(prompt_without_loras)
 
     new_loras = []
     lora_names = [lora[0] for lora in loras]
     for found_lora in found_loras:
-        if deduplicate_loras and found_lora[0] in lora_names:
+        if deduplicate_loras and (found_lora[0] in lora_names or found_lora in new_loras):
             continue
         new_loras.append(found_lora)
 
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 9f81005b..6fd550db 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -7,13 +7,13 @@ class TestUtils(unittest.TestCase):
     def test_can_parse_tokens_with_lora(self):
         test_cases = [
             {
-                "input": ("some prompt, very cool, <lora:hey-lora:0.4>,  cool   <lora:you-lora:0.2>", [], 5),
+                "input": ("some prompt, very cool, <lora:hey-lora:0.4>,  cool   <lora:you-lora:0.2>", [], 5, True),
                 "output": (
                     [('hey-lora.safetensors', 0.4), ('you-lora.safetensors', 0.2)], 'some prompt, very cool, cool'),
             },
             # Test can not exceed limit
             {
-                "input": ("some prompt, very cool, <lora:hey-lora:0.4>,  cool   <lora:you-lora:0.2>", [], 1),
+                "input": ("some prompt, very cool, <lora:hey-lora:0.4>,  cool   <lora:you-lora:0.2>", [], 1, True),
                 "output": (
                     [('hey-lora.safetensors', 0.4)],
                     'some prompt, very cool, cool'
@@ -25,6 +25,7 @@ class TestUtils(unittest.TestCase):
                     "some prompt, very cool, <lora:l1:0.4>, <lora:l2:-0.2>, <lora:l3:0.3>, <lora:l4:0.5>, <lora:l6:0.24>, <lora:l7:0.1>",
                     [("hey-lora.safetensors", 0.4)],
                     5,
+                    True
                 ),
                 "output": (
                     [
@@ -37,18 +38,35 @@ class TestUtils(unittest.TestCase):
                     'some prompt, very cool'
                 )
             },
+            # test correct matching even if there is no space separating loras in the same token
             {
-                "input": ("some prompt, very cool, <lora:hey-lora:0.4><lora:you-lora:0.2>", [], 3),
+                "input": ("some prompt, very cool, <lora:hey-lora:0.4><lora:you-lora:0.2>", [], 3, True),
                 "output": (
                     [
                         ('hey-lora.safetensors', 0.4),
                         ('you-lora.safetensors', 0.2)
                     ],
-                    'some prompt, very cool, <lora:you-lora:0.2><lora:hey-lora:0.4>'
+                    'some prompt, very cool'
+                ),
+            },
+            # test deduplication, also selected loras are never overridden with loras in prompt
+            {
+                "input": (
+                    "some prompt, very cool, <lora:hey-lora:0.4><lora:hey-lora:0.4><lora:you-lora:0.2>",
+                    [('you-lora.safetensors', 0.3)],
+                    3,
+                    True
+                ),
+                "output": (
+                    [
+                        ('you-lora.safetensors', 0.3),
+                        ('hey-lora.safetensors', 0.4)
+                    ],
+                    'some prompt, very cool'
                 ),
             },
             {
-                "input": ("<lora:foo:1..2>, <lora:bar:.>, <test:1.0>, <lora:baz:+> and <lora:quux:>", [], 6),
+                "input": ("<lora:foo:1..2>, <lora:bar:.>, <test:1.0>, <lora:baz:+> and <lora:quux:>", [], 6, True),
                 "output": (
                     [],
                     '<lora:foo:1..2>, <lora:bar:.>, <test:1.0>, <lora:baz:+> and <lora:quux:>'
@@ -57,7 +75,7 @@ class TestUtils(unittest.TestCase):
         ]
 
         for test in test_cases:
-            prompt, loras, loras_limit = test["input"]
+            prompt, loras, loras_limit, skip_file_check = test["input"]
             expected = test["output"]
-            actual = util.parse_lora_references_from_prompt(prompt, loras, loras_limit)
+            actual = util.parse_lora_references_from_prompt(prompt, loras, loras_limit=loras_limit, skip_file_check=skip_file_check)
             self.assertEqual(expected, actual)

From 302bfdf855ca8271d5ddc87a6db89504fb519718 Mon Sep 17 00:00:00 2001
From: xhoxye <129571231+xhoxye@users.noreply.github.com>
Date: Thu, 23 May 2024 02:47:44 +0800
Subject: [PATCH 145/180] feat: read size and ratio of an image and provide the
 recommended size (#2971)

* Add the information about the size and ratio of the read image

* feat: use available aspect ratios from config, move function to util, change default visibility of label

* refactor: extract sdxl aspect ratios to flags, use in describe

as discussed in
https://github.com/lllyasviel/Fooocus/pull/2971#discussion_r1608493765
https://github.com/lllyasviel/Fooocus/pull/2971#issuecomment-2123620595

---------

Co-authored-by: Manuel Schmid <dev@mash1t.de>
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
---
 modules/config.py      | 10 ++--------
 modules/flags.py       |  7 +++++++
 modules/meta_parser.py |  2 +-
 modules/util.py        | 32 ++++++++++++++++++++++++++++++++
 webui.py               | 11 ++++++++++-
 5 files changed, 52 insertions(+), 10 deletions(-)

diff --git a/modules/config.py b/modules/config.py
index 94046661..64b0b86f 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -416,13 +416,7 @@ embeddings_downloads = get_config_item_or_set_default(
 )
 available_aspect_ratios = get_config_item_or_set_default(
     key='available_aspect_ratios',
-    default_value=[
-        '704*1408', '704*1344', '768*1344', '768*1280', '832*1216', '832*1152',
-        '896*1152', '896*1088', '960*1088', '960*1024', '1024*1024', '1024*960',
-        '1088*960', '1088*896', '1152*896', '1152*832', '1216*832', '1280*768',
-        '1344*768', '1344*704', '1408*704', '1472*704', '1536*640', '1600*640',
-        '1664*576', '1728*576'
-    ],
+    default_value=modules.flags.sdxl_aspect_ratios,
     validator=lambda x: isinstance(x, list) and all('*' in v for v in x) and len(x) > 1
 )
 default_aspect_ratio = get_config_item_or_set_default(
@@ -526,7 +520,7 @@ def add_ratio(x):
 
 
 default_aspect_ratio = add_ratio(default_aspect_ratio)
-available_aspect_ratios = [add_ratio(x) for x in available_aspect_ratios]
+available_aspect_ratios_labels = [add_ratio(x) for x in available_aspect_ratios]
 
 
 # Only write config in the first launch.
diff --git a/modules/flags.py b/modules/flags.py
index 7b3ac393..89e1ea0f 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -81,6 +81,13 @@ inpaint_options = [inpaint_option_default, inpaint_option_detail, inpaint_option
 desc_type_photo = 'Photograph'
 desc_type_anime = 'Art/Anime'
 
+sdxl_aspect_ratios = [
+    '704*1408', '704*1344', '768*1344', '768*1280', '832*1216', '832*1152',
+    '896*1152', '896*1088', '960*1088', '960*1024', '1024*1024', '1024*960',
+    '1088*960', '1088*896', '1152*896', '1152*832', '1216*832', '1280*768',
+    '1344*768', '1344*704', '1408*704', '1472*704', '1536*640', '1600*640',
+    '1664*576', '1728*576'
+]
 
 class MetadataScheme(Enum):
     FOOOCUS = 'fooocus'
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 2469da5f..4ce12435 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -124,7 +124,7 @@ def get_resolution(key: str, fallback: str | None, source_dict: dict, results: l
         h = source_dict.get(key, source_dict.get(fallback, default))
         width, height = eval(h)
         formatted = modules.config.add_ratio(f'{width}*{height}')
-        if formatted in modules.config.available_aspect_ratios:
+        if formatted in modules.config.available_aspect_ratios_labels:
             results.append(formatted)
             results.append(-1)
             results.append(-1)
diff --git a/modules/util.py b/modules/util.py
index cb5580fb..4f975bf5 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -381,6 +381,16 @@ def get_file_from_folder_list(name, folders):
 
     return os.path.abspath(os.path.realpath(os.path.join(folders[0], name)))
 
+def ordinal_suffix(number: int) -> str:
+    return 'th' if 10 <= number % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(number % 10, 'th')
+
+
+def makedirs_with_log(path):
+    try:
+        os.makedirs(path, exist_ok=True)
+    except OSError as error:
+        print(f'Directory {path} could not be created, reason: {error}')
+
 
 def get_enabled_loras(loras: list, remove_none=True) -> list:
     return [(lora[1], lora[2]) for lora in loras if lora[0] and (lora[1] != 'None' if remove_none else True)]
@@ -467,3 +477,25 @@ def apply_wildcards(wildcard_text, rng, i, read_wildcards_in_order) -> str:
 
     print(f'[Wildcards] BFS stack overflow. Current text: {wildcard_text}')
     return wildcard_text
+
+
+def get_image_size_info(image: np.ndarray, aspect_ratios: list) -> str:
+    try:
+        image = Image.fromarray(np.uint8(image))
+        width, height = image.size
+        ratio = round(width / height, 2)
+        gcd = math.gcd(width, height)
+        lcm_ratio = f'{width // gcd}:{height // gcd}'
+        size_info = f'Image Size: {width} x {height}, Ratio: {ratio}, {lcm_ratio}'
+
+        closest_ratio = min(aspect_ratios, key=lambda x: abs(ratio - float(x.split('*')[0]) / float(x.split('*')[1])))
+        recommended_width, recommended_height = map(int, closest_ratio.split('*'))
+        recommended_ratio = round(recommended_width / recommended_height, 2)
+        recommended_gcd = math.gcd(recommended_width, recommended_height)
+        recommended_lcm_ratio = f'{recommended_width // recommended_gcd}:{recommended_height // recommended_gcd}'
+
+        size_info += f'\nRecommended Size: {recommended_width} x {recommended_height}, Ratio: {recommended_ratio}, {recommended_lcm_ratio}'
+
+        return size_info
+    except Exception as e:
+        return f'Error reading image: {e}'
diff --git a/webui.py b/webui.py
index 55f3102c..7606e010 100644
--- a/webui.py
+++ b/webui.py
@@ -221,7 +221,16 @@ with shared.gradio_root:
                                     choices=[flags.desc_type_photo, flags.desc_type_anime],
                                     value=flags.desc_type_photo)
                                 desc_btn = gr.Button(value='Describe this Image into Prompt')
+                                desc_image_size = gr.Markdown(label='Image Size', elem_id='desc_image_size', visible=False)
                                 gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/1363" target="_blank">\U0001F4D4 Document</a>')
+
+                                def trigger_show_image_properties(image):
+                                    value = modules.util.get_image_size_info(image, modules.flags.sdxl_aspect_ratios)
+                                    return gr.update(value=value, visible=True)
+
+                                desc_input_image.upload(trigger_show_image_properties, inputs=desc_input_image,
+                                                        outputs=desc_image_size, show_progress=False, queue=False)
+
                     with gr.TabItem(label='Metadata') as load_tab:
                         with gr.Column():
                             metadata_input_image = grh.Image(label='Drag any image generated by Fooocus here', source='upload', type='filepath')
@@ -266,7 +275,7 @@ with shared.gradio_root:
                 performance_selection = gr.Radio(label='Performance',
                                                  choices=flags.Performance.list(),
                                                  value=modules.config.default_performance)
-                aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=modules.config.available_aspect_ratios,
+                aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=modules.config.available_aspect_ratios_labels,
                                                    value=modules.config.default_aspect_ratio, info='width × height',
                                                    elem_classes='aspect_ratios')
                 image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)

From 4da5a68c1015496c23c59d23d41e81e443ce1603 Mon Sep 17 00:00:00 2001
From: xyny <60004820+xynydev@users.noreply.github.com>
Date: Wed, 22 May 2024 22:19:54 +0000
Subject: [PATCH 146/180] feat: build and push container image for ghcr.io,
 update docker.md, and other related fixes  (#2805)

* chore: update cuda version in container

* fix: use symlink to fix error libcuda.so: cannot open shared object file:

* fix: update docker entrypoint to use entry_with_update.py

* feat: add container build & push workflow

* fix: container action run conditions

* fix: container action versions

* fix: container action versions v2

* fix: docker action registry login and metadata

* docs: adjust docker documentation based on latest changes, add docs for podman and docker

* chore: replace image name env var with github.event.repository.name

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* chore: replace image name env var with github.event.repository.name (pt2)

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* fix: switch to semver versioning

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* fix: build only on versioned tags

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* fix: don't update in entrypoint

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* fix: remove dash in "docker-compose"

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>

* feat: sync pytorch for docker with version used in prepare_environment

* feat: update cuda to 12.4.1

* fix: correctly clone checked out version in builds, not always main

* refactor: remove irrelevant version in docker-compose.yml

---------

Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Co-authored-by: Manuel Schmid <dev@mash1t.de>
---
 .dockerignore                         | 55 +++++++++++++++++-
 .github/dependabot.yml                |  6 ++
 .github/workflows/build_container.yml | 44 ++++++++++++++
 Dockerfile                            |  4 +-
 docker-compose.yml                    |  4 +-
 docker.md                             | 82 ++++++++++++++++++++++++---
 requirements_docker.txt               |  7 +--
 7 files changed, 182 insertions(+), 20 deletions(-)
 create mode 100644 .github/dependabot.yml
 create mode 100644 .github/workflows/build_container.yml

diff --git a/.dockerignore b/.dockerignore
index 485dee64..d1eab807 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -1 +1,54 @@
-.idea
+__pycache__
+*.ckpt
+*.safetensors
+*.pth
+*.pt
+*.bin
+*.patch
+*.backup
+*.corrupted
+*.partial
+*.onnx
+sorted_styles.json
+/input
+/cache
+/language/default.json
+/test_imgs
+config.txt
+config_modification_tutorial.txt
+user_path_config.txt
+user_path_config-deprecated.txt
+/modules/*.png
+/repositories
+/fooocus_env
+/venv
+/tmp
+/ui-config.json
+/outputs
+/config.json
+/log
+/webui.settings.bat
+/embeddings
+/styles.csv
+/params.txt
+/styles.csv.bak
+/webui-user.bat
+/webui-user.sh
+/interrogate
+/user.css
+/.idea
+/notification.ogg
+/notification.mp3
+/SwinIR
+/textual_inversion
+.vscode
+/extensions
+/test/stdout.txt
+/test/stderr.txt
+/cache.json*
+/config_states/
+/node_modules
+/package-lock.json
+/.coverage*
+/auth.json
+.DS_Store
\ No newline at end of file
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
new file mode 100644
index 00000000..adee0ed1
--- /dev/null
+++ b/.github/dependabot.yml
@@ -0,0 +1,6 @@
+version: 2
+updates:
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "monthly"
\ No newline at end of file
diff --git a/.github/workflows/build_container.yml b/.github/workflows/build_container.yml
new file mode 100644
index 00000000..1e118a1f
--- /dev/null
+++ b/.github/workflows/build_container.yml
@@ -0,0 +1,44 @@
+name: Create and publish a container image
+
+on:
+  push:
+    tags:
+      - 'v*'
+
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Log in to the Container registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ghcr.io/${{ github.repository_owner }}/${{ github.event.repository.name }}
+          tags: |
+            type=semver,pattern={{version}}
+            type=semver,pattern={{major}}.{{minor}}
+            type=semver,pattern={{major}}
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          file: ./Dockerfile
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
index b969cd0e..1172c795 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-FROM nvidia/cuda:12.3.1-base-ubuntu22.04
+FROM nvidia/cuda:12.4.1-base-ubuntu22.04
 ENV DEBIAN_FRONTEND noninteractive
 ENV CMDARGS --listen
 
@@ -23,7 +23,7 @@ RUN chown -R user:user /content
 WORKDIR /content
 USER user
 
-RUN git clone https://github.com/lllyasviel/Fooocus /content/app
+COPY . /content/app
 RUN mv /content/app/models /content/app/models.org
 
 CMD [ "sh", "-c", "/content/entrypoint.sh ${CMDARGS}" ]
diff --git a/docker-compose.yml b/docker-compose.yml
index dee7b3e7..f724964d 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,12 +1,10 @@
-version: '3.9'
-
 volumes:
   fooocus-data:
 
 services:
   app:
     build: .
-    image: fooocus
+    image: ghcr.io/lllyasviel/fooocus
     ports:
      - "7865:7865"
     environment:
diff --git a/docker.md b/docker.md
index 1939d6fc..cd75d9f5 100644
--- a/docker.md
+++ b/docker.md
@@ -1,35 +1,99 @@
 # Fooocus on Docker
 
-The docker image is based on NVIDIA CUDA 12.3 and PyTorch 2.0, see [Dockerfile](Dockerfile) and [requirements_docker.txt](requirements_docker.txt) for details.
+The docker image is based on NVIDIA CUDA 12.4 and PyTorch 2.1, see [Dockerfile](Dockerfile) and [requirements_docker.txt](requirements_docker.txt) for details.
+
+## Requirements
+
+- A computer with specs good enough to run Fooocus, and proprietary Nvidia drivers
+- Docker, Docker Compose, or Podman
 
 ## Quick start
 
-**This is just an easy way for testing. Please find more information in the [notes](#notes).**
+**More information in the [notes](#notes).**
+
+### Running with Docker Compose
 
 1. Clone this repository
-2. Build the image with `docker compose build`
-3. Run the docker container with `docker compose up`. Building the image takes some time.
+2. Run the docker container with `docker compose up`.
+
+### Running with Docker
+
+```sh
+docker run -p 7865:7865 -v fooocus-data:/content/data -it \
+--gpus all \
+-e CMDARGS=--listen \
+-e DATADIR=/content/data \
+-e config_path=/content/data/config.txt \
+-e config_example_path=/content/data/config_modification_tutorial.txt \
+-e path_checkpoints=/content/data/models/checkpoints/ \
+-e path_loras=/content/data/models/loras/ \
+-e path_embeddings=/content/data/models/embeddings/ \
+-e path_vae_approx=/content/data/models/vae_approx/ \
+-e path_upscale_models=/content/data/models/upscale_models/ \
+-e path_inpaint=/content/data/models/inpaint/ \
+-e path_controlnet=/content/data/models/controlnet/ \
+-e path_clip_vision=/content/data/models/clip_vision/ \
+-e path_fooocus_expansion=/content/data/models/prompt_expansion/fooocus_expansion/ \
+-e path_outputs=/content/app/outputs/ \
+ghcr.io/lllyasviel/fooocus
+```
+### Running with Podman
+
+```sh
+podman run -p 7865:7865 -v fooocus-data:/content/data -it \
+--security-opt=no-new-privileges --cap-drop=ALL --security-opt label=type:nvidia_container_t --device=nvidia.com/gpu=all \
+-e CMDARGS=--listen \
+-e DATADIR=/content/data \
+-e config_path=/content/data/config.txt \
+-e config_example_path=/content/data/config_modification_tutorial.txt \
+-e path_checkpoints=/content/data/models/checkpoints/ \
+-e path_loras=/content/data/models/loras/ \
+-e path_embeddings=/content/data/models/embeddings/ \
+-e path_vae_approx=/content/data/models/vae_approx/ \
+-e path_upscale_models=/content/data/models/upscale_models/ \
+-e path_inpaint=/content/data/models/inpaint/ \
+-e path_controlnet=/content/data/models/controlnet/ \
+-e path_clip_vision=/content/data/models/clip_vision/ \
+-e path_fooocus_expansion=/content/data/models/prompt_expansion/fooocus_expansion/ \
+-e path_outputs=/content/app/outputs/ \
+ghcr.io/lllyasviel/fooocus
+```
 
 When you see the message  `Use the app with http://0.0.0.0:7865/` in the console, you can access the URL in your browser.
 
-Your models and outputs are stored in the `fooocus-data` volume, which, depending on OS, is stored in `/var/lib/docker/volumes`.
+Your models and outputs are stored in the `fooocus-data` volume, which, depending on OS, is stored in `/var/lib/docker/volumes/` (or `~/.local/share/containers/storage/volumes/` when using `podman`).
+
+## Building the container locally
+
+Clone the repository first, and open a terminal in the folder.
+
+Build with `docker`:
+```sh
+docker build . -t fooocus
+```
+
+Build with `podman`:
+```sh
+podman build . -t fooocus
+```
 
 ## Details
 
-### Update the container manually
+### Update the container manually (`docker compose`)
 
 When you are using `docker compose up` continuously, the container is not updated to the latest version of Fooocus automatically.
 Run `git pull` before executing `docker compose build --no-cache` to build an image with the latest Fooocus version.
 You can then start it with `docker compose up`
 
 ### Import models, outputs
-If you want to import files from models or the outputs folder, you can uncomment the following settings in the [docker-compose.yml](docker-compose.yml):
+
+If you want to import files from models or the outputs folder, you can add the following bind mounts in the [docker-compose.yml](docker-compose.yml) or your preferred method of running the container:
 ```
 #- ./models:/import/models   # Once you import files, you don't need to mount again.
 #- ./outputs:/import/outputs  # Once you import files, you don't need to mount again.
 ```
-After running `docker compose up`, your files will be copied into `/content/data/models` and `/content/data/outputs`
-Since `/content/data` is a persistent volume folder, your files will be persisted even when you re-run `docker compose up --build` without above volume settings.
+After running the container, your files will be copied into `/content/data/models` and `/content/data/outputs`
+Since `/content/data` is a persistent volume folder, your files will be persisted even when you re-run the container without the above mounts.
 
 
 ### Paths inside the container
diff --git a/requirements_docker.txt b/requirements_docker.txt
index 3cf4aa89..21883adf 100644
--- a/requirements_docker.txt
+++ b/requirements_docker.txt
@@ -1,5 +1,2 @@
-torch==2.0.1
-torchvision==0.15.2
-torchaudio==2.0.2
-torchtext==0.15.2
-torchdata==0.6.1
+torch==2.1.0
+torchvision==0.16.0

From 7b70d270325320e8107837f37739d403d4415915 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Fri, 24 May 2024 21:36:07 +0200
Subject: [PATCH 147/180] feat: configure line ending format LF for *.sh files
 (#2991)

---
 .gitattributes | 3 +++
 1 file changed, 3 insertions(+)
 create mode 100644 .gitattributes

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 00000000..ce213ceb
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,3 @@
+# Ensure that shell scripts always use lf line endings, e.g. entrypoint.sh for docker
+* text=auto
+*.sh text eol=lf
\ No newline at end of file

From 04f64ab0bcddb70e6f60a3a463bbbb59bd320216 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Fri, 24 May 2024 21:58:17 +0200
Subject: [PATCH 148/180] feat: add translation for image size describe (#2992)

---
 language/en.json | 14 ++++++++++++--
 modules/util.py  |  3 ++-
 webui.py         |  2 +-
 3 files changed, 15 insertions(+), 4 deletions(-)

diff --git a/language/en.json b/language/en.json
index 3eb5d5e2..33a70b7b 100644
--- a/language/en.json
+++ b/language/en.json
@@ -9,9 +9,19 @@
     "Advanced": "Advanced",
     "Upscale or Variation": "Upscale or Variation",
     "Image Prompt": "Image Prompt",
-    "Inpaint or Outpaint (beta)": "Inpaint or Outpaint (beta)",
-    "Drag above image to here": "Drag above image to here",
+    "Inpaint or Outpaint": "Inpaint or Outpaint",
+    "Drag inpaint or outpaint image to here": "Drag inpaint or outpaint image to here",
+    "Outpaint Direction": "Outpaint Direction",
+    "Method": "Method",
+    "Describe": "Describe",
+    "Drag any image to here": "Drag any image to here",
+    "Content Type": "Content Type",
+    "Photograph": "Photograph",
+    "Art/Anime": "Art/Anime",
+    "Describe this Image into Prompt": "Describe this Image into Prompt",
+    "Image Size and Recommended Size": "Image Size and Recommended Size",
     "Upscale or Variation:": "Upscale or Variation:",
+    "Drag above image to here": "Drag above image to here",
     "Disabled": "Disabled",
     "Vary (Subtle)": "Vary (Subtle)",
     "Vary (Strong)": "Vary (Strong)",
diff --git a/modules/util.py b/modules/util.py
index 4f975bf5..8317dd50 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -494,7 +494,8 @@ def get_image_size_info(image: np.ndarray, aspect_ratios: list) -> str:
         recommended_gcd = math.gcd(recommended_width, recommended_height)
         recommended_lcm_ratio = f'{recommended_width // recommended_gcd}:{recommended_height // recommended_gcd}'
 
-        size_info += f'\nRecommended Size: {recommended_width} x {recommended_height}, Ratio: {recommended_ratio}, {recommended_lcm_ratio}'
+        size_info = f'{width} x {height}, {ratio}, {lcm_ratio}'
+        size_info += f'\n{recommended_width} x {recommended_height}, {recommended_ratio}, {recommended_lcm_ratio}'
 
         return size_info
     except Exception as e:
diff --git a/webui.py b/webui.py
index 7606e010..25e57222 100644
--- a/webui.py
+++ b/webui.py
@@ -221,7 +221,7 @@ with shared.gradio_root:
                                     choices=[flags.desc_type_photo, flags.desc_type_anime],
                                     value=flags.desc_type_photo)
                                 desc_btn = gr.Button(value='Describe this Image into Prompt')
-                                desc_image_size = gr.Markdown(label='Image Size', elem_id='desc_image_size', visible=False)
+                                desc_image_size = gr.Textbox(label='Image Size and Recommended Size', elem_id='desc_image_size', visible=False)
                                 gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/1363" target="_blank">\U0001F4D4 Document</a>')
 
                                 def trigger_show_image_properties(image):

From d850bca09fc8a1bac6635980035862ded4dd4b18 Mon Sep 17 00:00:00 2001
From: Alexdnk <83111151+Alexdnk@users.noreply.github.com>
Date: Sat, 25 May 2024 03:05:28 +0700
Subject: [PATCH 149/180] feat: read value 'CFG Mimicking from TSNR'
 (adaptive_cfg) from presets (#2990)

---
 modules/config.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/config.py b/modules/config.py
index 64b0b86f..08ed99d7 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -487,6 +487,7 @@ possible_preset_keys = {
     "default_loras": "<processed>",
     "default_cfg_scale": "guidance_scale",
     "default_sample_sharpness": "sharpness",
+    "default_cfg_tsnr": "adaptive_cfg",
     "default_sampler": "sampler",
     "default_scheduler": "scheduler",
     "default_overwrite_step": "steps",

From 1d1a4a3ebd2ea06fa396be670272ee9659e5f66c Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 26 May 2024 11:40:15 +0200
Subject: [PATCH 150/180] feat: add inpaint color picker (#2997)

Workaround as tool color-sketch applies changes directly to the image canvas and not the mask canvas.
Color picker is not correctly implemented in Gradio 3.41.2 => does always get displayed as separate containers and not merged with other elements
---
 css/style.css |  6 +++++-
 webui.py      | 11 +++++++++--
 2 files changed, 14 insertions(+), 3 deletions(-)

diff --git a/css/style.css b/css/style.css
index b5f7a448..b82cf930 100644
--- a/css/style.css
+++ b/css/style.css
@@ -72,7 +72,7 @@ progress::after {
 
 .progress-bar span {
     text-align: right;
-    width: 200px;
+    width: 215px;
 }
 
 .type_row{
@@ -399,4 +399,8 @@ progress::after {
   text-align: center;
   border-radius: 5px 5px 0px 0px;
   display: none; /* remove this to enable tooltip in preview image */
+}
+
+#inpaint_brush_color input[type=color]{
+  background: none;
 }
\ No newline at end of file
diff --git a/webui.py b/webui.py
index 25e57222..ae0bc89f 100644
--- a/webui.py
+++ b/webui.py
@@ -524,13 +524,20 @@ with shared.gradio_root:
                         inpaint_mask_upload_checkbox = gr.Checkbox(label='Enable Mask Upload', value=False)
                         invert_mask_checkbox = gr.Checkbox(label='Invert Mask', value=False)
 
+                        inpaint_mask_color = gr.ColorPicker(label='Inpaint brush color', value='#FFFFFF', elem_id='inpaint_brush_color')
+
                         inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine,
                                          inpaint_strength, inpaint_respective_field,
                                          inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate]
 
                         inpaint_mask_upload_checkbox.change(lambda x: gr.update(visible=x),
-                                                           inputs=inpaint_mask_upload_checkbox,
-                                                           outputs=inpaint_mask_image, queue=False, show_progress=False)
+                                                            inputs=inpaint_mask_upload_checkbox,
+                                                            outputs=inpaint_mask_image, queue=False,
+                                                            show_progress=False)
+
+                        inpaint_mask_color.change(lambda x: gr.update(brush_color=x), inputs=inpaint_mask_color,
+                                                  outputs=inpaint_input_image,
+                                                  queue=False, show_progress=False)
 
                     with gr.Tab(label='FreeU'):
                         freeu_enabled = gr.Checkbox(label='Enabled', value=False)

From 4e5509351f3882431e6088cdc7ec3632534df2e4 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 26 May 2024 11:47:33 +0200
Subject: [PATCH 151/180] feat: remove labels from most of the image input
 fields (#2998)

---
 css/style.css    | 4 ++++
 language/en.json | 5 +----
 webui.py         | 8 ++++----
 3 files changed, 9 insertions(+), 8 deletions(-)

diff --git a/css/style.css b/css/style.css
index b82cf930..649f77c5 100644
--- a/css/style.css
+++ b/css/style.css
@@ -401,6 +401,10 @@ progress::after {
   display: none; /* remove this to enable tooltip in preview image */
 }
 
+#inpaint_canvas .canvas-tooltip-info {
+  top: 2px;
+}
+
 #inpaint_brush_color input[type=color]{
   background: none;
 }
\ No newline at end of file
diff --git a/language/en.json b/language/en.json
index 33a70b7b..90eaf2ee 100644
--- a/language/en.json
+++ b/language/en.json
@@ -10,18 +10,15 @@
     "Upscale or Variation": "Upscale or Variation",
     "Image Prompt": "Image Prompt",
     "Inpaint or Outpaint": "Inpaint or Outpaint",
-    "Drag inpaint or outpaint image to here": "Drag inpaint or outpaint image to here",
     "Outpaint Direction": "Outpaint Direction",
     "Method": "Method",
     "Describe": "Describe",
-    "Drag any image to here": "Drag any image to here",
     "Content Type": "Content Type",
     "Photograph": "Photograph",
     "Art/Anime": "Art/Anime",
     "Describe this Image into Prompt": "Describe this Image into Prompt",
     "Image Size and Recommended Size": "Image Size and Recommended Size",
     "Upscale or Variation:": "Upscale or Variation:",
-    "Drag above image to here": "Drag above image to here",
     "Disabled": "Disabled",
     "Vary (Subtle)": "Vary (Subtle)",
     "Vary (Strong)": "Vary (Strong)",
@@ -394,7 +391,7 @@
     "Fooocus Enhance": "Fooocus Enhance",
     "Fooocus Cinematic": "Fooocus Cinematic",
     "Fooocus Sharp": "Fooocus Sharp",
-    "Drag any image generated by Fooocus here": "Drag any image generated by Fooocus here",
+    "For images created by Fooocus": "For images created by Fooocus",
     "Metadata": "Metadata",
     "Apply Metadata": "Apply Metadata",
     "Metadata Scheme": "Metadata Scheme",
diff --git a/webui.py b/webui.py
index ae0bc89f..b475cd90 100644
--- a/webui.py
+++ b/webui.py
@@ -152,7 +152,7 @@ with shared.gradio_root:
                     with gr.TabItem(label='Upscale or Variation') as uov_tab:
                         with gr.Row():
                             with gr.Column():
-                                uov_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy')
+                                uov_input_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False)
                             with gr.Column():
                                 uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=flags.disabled)
                                 gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/390" target="_blank">\U0001F4D4 Document</a>')
@@ -201,7 +201,7 @@ with shared.gradio_root:
                                            queue=False, show_progress=False)
                     with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab:
                         with gr.Row():
-                            inpaint_input_image = grh.Image(label='Drag inpaint or outpaint image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas')
+                            inpaint_input_image = grh.Image(label='Image', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas', show_label=False)
                             inpaint_mask_image = grh.Image(label='Mask Upload', source='upload', type='numpy', height=500, visible=False)
 
                         with gr.Row():
@@ -214,7 +214,7 @@ with shared.gradio_root:
                     with gr.TabItem(label='Describe') as desc_tab:
                         with gr.Row():
                             with gr.Column():
-                                desc_input_image = grh.Image(label='Drag any image to here', source='upload', type='numpy')
+                                desc_input_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False)
                             with gr.Column():
                                 desc_method = gr.Radio(
                                     label='Content Type',
@@ -233,7 +233,7 @@ with shared.gradio_root:
 
                     with gr.TabItem(label='Metadata') as load_tab:
                         with gr.Column():
-                            metadata_input_image = grh.Image(label='Drag any image generated by Fooocus here', source='upload', type='filepath')
+                            metadata_input_image = grh.Image(label='For images created by Fooocus', source='upload', type='filepath')
                             metadata_json = gr.JSON(label='Metadata')
                             metadata_import_button = gr.Button(value='Apply Metadata')
 

From cc58fe52706a5a9ec75ad12f9643e19fe170e253 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 26 May 2024 14:18:19 +0200
Subject: [PATCH 152/180] feat: add clip skip handling (#2999)

---
 language/en.json            |  1 +
 modules/async_worker.py     |  6 ++++++
 modules/config.py           |  6 ++++++
 modules/default_pipeline.py | 11 +++++++++++
 modules/meta_parser.py      | 18 ++++++++++--------
 webui.py                    | 11 +++++++----
 6 files changed, 41 insertions(+), 12 deletions(-)

diff --git a/language/en.json b/language/en.json
index 90eaf2ee..a4056e1e 100644
--- a/language/en.json
+++ b/language/en.json
@@ -320,6 +320,7 @@
     "vae": "vae",
     "CFG Mimicking from TSNR": "CFG Mimicking from TSNR",
     "Enabling Fooocus's implementation of CFG mimicking for TSNR (effective when real CFG > mimicked CFG).": "Enabling Fooocus's implementation of CFG mimicking for TSNR (effective when real CFG > mimicked CFG).",
+    "CLIP Skip": "CLIP Skip",
     "Sampler": "Sampler",
     "dpmpp_2m_sde_gpu": "dpmpp_2m_sde_gpu",
     "Only effective in non-inpaint mode.": "Only effective in non-inpaint mode.",
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 594886d2..d7d9b9fd 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -174,6 +174,7 @@ def worker():
         adm_scaler_negative = args.pop()
         adm_scaler_end = args.pop()
         adaptive_cfg = args.pop()
+        clip_skip = args.pop()
         sampler_name = args.pop()
         scheduler_name = args.pop()
         vae_name = args.pop()
@@ -297,6 +298,7 @@ def worker():
             adm_scaler_end = 0.0
 
         print(f'[Parameters] Adaptive CFG = {adaptive_cfg}')
+        print(f'[Parameters] CLIP Skip = {clip_skip}')
         print(f'[Parameters] Sharpness = {sharpness}')
         print(f'[Parameters] ControlNet Softness = {controlnet_softness}')
         print(f'[Parameters] ADM Scale = '
@@ -466,6 +468,8 @@ def worker():
                                         loras=loras, base_model_additional_loras=base_model_additional_loras,
                                         use_synthetic_refiner=use_synthetic_refiner, vae_name=vae_name)
 
+            pipeline.set_clip_skip(clip_skip)
+
             progressbar(async_task, 3, 'Processing prompts ...')
             tasks = []
 
@@ -924,6 +928,8 @@ def worker():
                         d.append(
                             ('CFG Mimicking from TSNR', 'adaptive_cfg', modules.patch.patch_settings[pid].adaptive_cfg))
 
+                    if clip_skip > 1:
+                        d.append(('CLIP Skip', 'clip_skip', clip_skip))
                     d.append(('Sampler', 'sampler', sampler_name))
                     d.append(('Scheduler', 'scheduler', scheduler_name))
                     d.append(('VAE', 'vae', vae_name))
diff --git a/modules/config.py b/modules/config.py
index 08ed99d7..0aee2713 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -434,6 +434,11 @@ default_cfg_tsnr = get_config_item_or_set_default(
     default_value=7.0,
     validator=lambda x: isinstance(x, numbers.Number)
 )
+default_clip_skip = get_config_item_or_set_default(
+    key='default_clip_skip',
+    default_value=1,
+    validator=lambda x: isinstance(x, numbers.Number)
+)
 default_overwrite_step = get_config_item_or_set_default(
     key='default_overwrite_step',
     default_value=-1,
@@ -488,6 +493,7 @@ possible_preset_keys = {
     "default_cfg_scale": "guidance_scale",
     "default_sample_sharpness": "sharpness",
     "default_cfg_tsnr": "adaptive_cfg",
+    "default_clip_skip": "clip_skip",
     "default_sampler": "sampler",
     "default_scheduler": "scheduler",
     "default_overwrite_step": "steps",
diff --git a/modules/default_pipeline.py b/modules/default_pipeline.py
index 38f914c5..494644d6 100644
--- a/modules/default_pipeline.py
+++ b/modules/default_pipeline.py
@@ -201,6 +201,17 @@ def clip_encode(texts, pool_top_k=1):
     return [[torch.cat(cond_list, dim=1), {"pooled_output": pooled_acc}]]
 
 
+@torch.no_grad()
+@torch.inference_mode()
+def set_clip_skip(clip_skip: int):
+    global final_clip
+
+    if final_clip is None:
+        return
+
+    final_clip.clip_layer(-abs(clip_skip))
+    return
+
 @torch.no_grad()
 @torch.inference_mode()
 def clear_all_caches():
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 4ce12435..586e62da 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -34,16 +34,17 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
     get_list('styles', 'Styles', loaded_parameter_dict, results)
     get_str('performance', 'Performance', loaded_parameter_dict, results)
     get_steps('steps', 'Steps', loaded_parameter_dict, results)
-    get_float('overwrite_switch', 'Overwrite Switch', loaded_parameter_dict, results)
+    get_number('overwrite_switch', 'Overwrite Switch', loaded_parameter_dict, results)
     get_resolution('resolution', 'Resolution', loaded_parameter_dict, results)
-    get_float('guidance_scale', 'Guidance Scale', loaded_parameter_dict, results)
-    get_float('sharpness', 'Sharpness', loaded_parameter_dict, results)
+    get_number('guidance_scale', 'Guidance Scale', loaded_parameter_dict, results)
+    get_number('sharpness', 'Sharpness', loaded_parameter_dict, results)
     get_adm_guidance('adm_guidance', 'ADM Guidance', loaded_parameter_dict, results)
     get_str('refiner_swap_method', 'Refiner Swap Method', loaded_parameter_dict, results)
-    get_float('adaptive_cfg', 'CFG Mimicking from TSNR', loaded_parameter_dict, results)
+    get_number('adaptive_cfg', 'CFG Mimicking from TSNR', loaded_parameter_dict, results)
+    get_number('clip_skip', 'CLIP Skip', loaded_parameter_dict, results, cast_type=int)
     get_str('base_model', 'Base Model', loaded_parameter_dict, results)
     get_str('refiner_model', 'Refiner Model', loaded_parameter_dict, results)
-    get_float('refiner_switch', 'Refiner Switch', loaded_parameter_dict, results)
+    get_number('refiner_switch', 'Refiner Switch', loaded_parameter_dict, results)
     get_str('sampler', 'Sampler', loaded_parameter_dict, results)
     get_str('scheduler', 'Scheduler', loaded_parameter_dict, results)
     get_str('vae', 'VAE', loaded_parameter_dict, results)
@@ -83,11 +84,11 @@ def get_list(key: str, fallback: str | None, source_dict: dict, results: list, d
         results.append(gr.update())
 
 
-def get_float(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
+def get_number(key: str, fallback: str | None, source_dict: dict, results: list, default=None, cast_type=float):
     try:
         h = source_dict.get(key, source_dict.get(fallback, default))
         assert h is not None
-        h = float(h)
+        h = cast_type(h)
         results.append(h)
     except:
         results.append(gr.update())
@@ -314,6 +315,7 @@ class A1111MetadataParser(MetadataParser):
         'adm_guidance': 'ADM Guidance',
         'refiner_swap_method': 'Refiner Swap Method',
         'adaptive_cfg': 'Adaptive CFG',
+        'clip_skip': 'Clip skip',
         'overwrite_switch': 'Overwrite Switch',
         'freeu': 'FreeU',
         'base_model': 'Model',
@@ -458,7 +460,7 @@ class A1111MetadataParser(MetadataParser):
                 self.fooocus_to_a1111['refiner_model_hash']: self.refiner_model_hash
             }
 
-        for key in ['adaptive_cfg', 'overwrite_switch', 'refiner_swap_method', 'freeu']:
+        for key in ['adaptive_cfg', 'clip_skip', 'overwrite_switch', 'refiner_swap_method', 'freeu']:
             if key in data:
                 generation_params[self.fooocus_to_a1111[key]] = data[key]
 
diff --git a/webui.py b/webui.py
index b475cd90..d72eb2ec 100644
--- a/webui.py
+++ b/webui.py
@@ -412,6 +412,9 @@ with shared.gradio_root:
                                                  value=modules.config.default_cfg_tsnr,
                                                  info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR '
                                                       '(effective when real CFG > mimicked CFG).')
+                        clip_skip = gr.Slider(label='CLIP Skip', minimum=1, maximum=10, step=1,
+                                                 value=modules.config.default_clip_skip,
+                                                 info='Bypass CLIP layers to avoid overfitting (use 1 to disable).')
                         sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list,
                                                    value=modules.config.default_sampler)
                         scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list,
@@ -576,9 +579,9 @@ with shared.gradio_root:
         load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
                              performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
                              overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
-                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
-                             refiner_model, refiner_switch, sampler_name, scheduler_name, vae_name, seed_random,
-                             image_seed, generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
+                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, clip_skip,
+                             base_model, refiner_model, refiner_switch, sampler_name, scheduler_name, vae_name,
+                             seed_random, image_seed, generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
 
         if not args_manager.args.disable_preset_selection:
             def preset_selection_change(preset, is_generating):
@@ -663,7 +666,7 @@ with shared.gradio_root:
         ctrls += [uov_method, uov_input_image]
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
         ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment, black_out_nsfw]
-        ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
+        ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, clip_skip]
         ctrls += [sampler_name, scheduler_name, vae_name]
         ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
         ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]

From 67289dd0fef248650cefd87729347032c443e0cc Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Sun, 26 May 2024 15:11:40 +0200
Subject: [PATCH 153/180] release: bump version to 2.4.0, update changelog

---
 fooocus_version.py |  2 +-
 update_log.md      | 19 +++++++++++++++++++
 2 files changed, 20 insertions(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index 41556f90..ecc15807 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.4.0-rc2'
+version = '2.4.0'
diff --git a/update_log.md b/update_log.md
index 62c4882b..e9544da3 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,22 @@
+# [2.4.0](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.0)
+
+* Add clip skip slider
+* Add select for custom VAE
+* Add new style "Random Style"
+* Update default anime model to animaPencilXL_v310
+* Add button to reconnect the UI after Fooocus crashed without having to configure everything again (no page reload required)
+* Add performance "hyper-sd" (based on [Hyper-SDXL 4 step LoRA](https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-SDXL-4steps-lora.safetensors))
+* Add [AlignYourSteps](https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/) scheduler by Nvidia, see 
+* Add [TCD](https://github.com/jabir-zheng/TCD) sampler and scheduler (based on sgm_uniform)
+* Add NSFW image censoring (disables intermediate image preview while generating). Set config value `default_black_out_nsfw` to True to always enable.
+* Add argument `--enable-describe-uov-image` to automatically describe uploaded images for upscaling
+* Add inline lora prompt references with subfolder support, example prompt: `colorful bird <lora:toucan:1.2>`
+* Add size and aspect ratio recommendation on image describe
+* Add inpaint brush color picker, helpful when image and mask brush have the same color
+* Add automated Docker image build using Github Actions on each release.
+* Add full raw prompts to history logs
+* Change code ownership from @lllyasviel to @mashb1t for automated issue / MR notification
+
 # [2.3.1](https://github.com/lllyasviel/Fooocus/releases/tag/2.3.1)
 
 * Remove positive prompt from anime prefix to not reset prompt after switching presets

From 57d2f2a0ddf3eb44e562578283208b496505474c Mon Sep 17 00:00:00 2001
From: Alexdnk <83111151+Alexdnk@users.noreply.github.com>
Date: Sun, 26 May 2024 23:10:29 +0700
Subject: [PATCH 154/180] feat: make ui settings more compact (#2590)

* Slightly more compact ui settings

Changed Radio to Dropdown.

* feat: change preset from option to select, add accordion for resolution

* feat: change title of aspect ratios accordion on load and update

* refactor: reorder image number slider, code cleanup

* fix: add missing scroll down for metadata tab

* fix: adjust indent

---------

Co-authored-by: Manuel Schmid <dev@mash1t.de>
Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
---
 css/style.css |  6 +++++-
 webui.py      | 39 +++++++++++++++++++++++++++------------
 2 files changed, 32 insertions(+), 13 deletions(-)

diff --git a/css/style.css b/css/style.css
index 649f77c5..18bacaaf 100644
--- a/css/style.css
+++ b/css/style.css
@@ -107,10 +107,14 @@ progress::after {
   overflow: auto !important;
 }
 
-.aspect_ratios label {
+.performance_selection label {
     width: 140px !important;
 }
 
+.aspect_ratios label {
+    flex: calc(50% - 5px) !important;
+}
+
 .aspect_ratios label span {
     white-space: nowrap !important;
 }
diff --git a/webui.py b/webui.py
index d72eb2ec..1d5bec92 100644
--- a/webui.py
+++ b/webui.py
@@ -231,7 +231,7 @@ with shared.gradio_root:
                                 desc_input_image.upload(trigger_show_image_properties, inputs=desc_input_image,
                                                         outputs=desc_image_size, show_progress=False, queue=False)
 
-                    with gr.TabItem(label='Metadata') as load_tab:
+                    with gr.TabItem(label='Metadata') as metadata_tab:
                         with gr.Column():
                             metadata_input_image = grh.Image(label='For images created by Fooocus', source='upload', type='filepath')
                             metadata_json = gr.JSON(label='Metadata')
@@ -264,25 +264,40 @@ with shared.gradio_root:
             inpaint_tab.select(lambda: 'inpaint', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
             ip_tab.select(lambda: 'ip', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
             desc_tab.select(lambda: 'desc', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
+            metadata_tab.select(lambda: 'metadata', outputs=current_tab, queue=False, _js=down_js, show_progress=False)
 
         with gr.Column(scale=1, visible=modules.config.default_advanced_checkbox) as advanced_column:
             with gr.Tab(label='Setting'):
                 if not args_manager.args.disable_preset_selection:
-                    preset_selection = gr.Radio(label='Preset',
-                                                choices=modules.config.available_presets,
-                                                value=args_manager.args.preset if args_manager.args.preset else "initial",
-                                                interactive=True)
+                    preset_selection = gr.Dropdown(label='Preset',
+                                                   choices=modules.config.available_presets,
+                                                   value=args_manager.args.preset if args_manager.args.preset else "initial",
+                                                   interactive=True)
                 performance_selection = gr.Radio(label='Performance',
                                                  choices=flags.Performance.list(),
-                                                 value=modules.config.default_performance)
-                aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=modules.config.available_aspect_ratios_labels,
-                                                   value=modules.config.default_aspect_ratio, info='width × height',
-                                                   elem_classes='aspect_ratios')
+                                                 value=modules.config.default_performance,
+                                                 elem_classes=['performance_selection'])
+                with gr.Accordion(label='Aspect Ratios', open=False) as aspect_ratios_accordion:
+                    aspect_ratios_selection = gr.Radio(label='Aspect Ratios', show_label=False,
+                                                       choices=modules.config.available_aspect_ratios_labels,
+                                                       value=modules.config.default_aspect_ratio,
+                                                       info='width × height',
+                                                       elem_classes='aspect_ratios')
+
+                    def change_aspect_ratio(text):
+                        import re
+                        regex = re.compile('<.*?>')
+                        cleaned_text = re.sub(regex, '', text)
+                        return gr.update(label='Aspect Ratios ' + cleaned_text)
+
+                    aspect_ratios_selection.change(change_aspect_ratio, inputs=aspect_ratios_selection, outputs=aspect_ratios_accordion, queue=False, show_progress=False)
+                    shared.gradio_root.load(change_aspect_ratio, inputs=aspect_ratios_selection, outputs=aspect_ratios_accordion, queue=False, show_progress=False)
+
                 image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)
 
                 output_format = gr.Radio(label='Output Format',
-                                            choices=flags.OutputFormat.list(),
-                                            value=modules.config.default_output_format)
+                                         choices=flags.OutputFormat.list(),
+                                         value=modules.config.default_output_format)
 
                 negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
                                              info='Describing what you do not want to see.', lines=2,
@@ -603,7 +618,7 @@ with shared.gradio_root:
                 return modules.meta_parser.load_parameter_button_click(json.dumps(preset_prepared), is_generating)
 
             preset_selection.change(preset_selection_change, inputs=[preset_selection, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
-                .then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
+                .then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False)
 
         performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
                                                [gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +

From c227cf1f5676381c155f2609e75f9d259cc9ba4e Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Sun, 26 May 2024 18:16:18 +0200
Subject: [PATCH 155/180] docs: update changelog

---
 update_log.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/update_log.md b/update_log.md
index e9544da3..77d70cb4 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,5 +1,6 @@
 # [2.4.0](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.0)
 
+* Change settings tab elements to be more compact
 * Add clip skip slider
 * Add select for custom VAE
 * Add new style "Random Style"

From de34023c797aace9dbc8ddecb439eda84287fba1 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 26 May 2024 19:23:21 +0200
Subject: [PATCH 156/180] fix: use translation for aspect ratios label (#3001)

use javascript code instead of python handling for updates for https://github.com/lllyasviel/Fooocus/pull/2590
---
 javascript/localization.js |  6 ++++++
 javascript/script.js       |  5 +++++
 webui.py                   | 12 +++---------
 3 files changed, 14 insertions(+), 9 deletions(-)

diff --git a/javascript/localization.js b/javascript/localization.js
index 0a8394ca..9f13d6fc 100644
--- a/javascript/localization.js
+++ b/javascript/localization.js
@@ -80,6 +80,12 @@ function refresh_style_localization() {
     processNode(document.querySelector('.style_selections'));
 }
 
+function refresh_aspect_ratios_label(value) {
+    label = document.querySelector('#aspect_ratios_accordion div span[data-original-text="Aspect Ratios"]')
+    translation = getTranslation("Aspect Ratios")
+    label.textContent = translation + " " + htmlDecode(value)
+}
+
 function localizeWholePage() {
     processNode(gradioApp());
 
diff --git a/javascript/script.js b/javascript/script.js
index d379a783..21dd483d 100644
--- a/javascript/script.js
+++ b/javascript/script.js
@@ -256,3 +256,8 @@ function set_theme(theme) {
         window.location.replace(gradioURL + '?__theme=' + theme);
     }
 }
+
+function htmlDecode(input) {
+  var doc = new DOMParser().parseFromString(input, "text/html");
+  return doc.documentElement.textContent;
+}
\ No newline at end of file
diff --git a/webui.py b/webui.py
index 1d5bec92..edc9b6b1 100644
--- a/webui.py
+++ b/webui.py
@@ -277,21 +277,15 @@ with shared.gradio_root:
                                                  choices=flags.Performance.list(),
                                                  value=modules.config.default_performance,
                                                  elem_classes=['performance_selection'])
-                with gr.Accordion(label='Aspect Ratios', open=False) as aspect_ratios_accordion:
+                with gr.Accordion(label='Aspect Ratios', open=False, elem_id='aspect_ratios_accordion') as aspect_ratios_accordion:
                     aspect_ratios_selection = gr.Radio(label='Aspect Ratios', show_label=False,
                                                        choices=modules.config.available_aspect_ratios_labels,
                                                        value=modules.config.default_aspect_ratio,
                                                        info='width × height',
                                                        elem_classes='aspect_ratios')
 
-                    def change_aspect_ratio(text):
-                        import re
-                        regex = re.compile('<.*?>')
-                        cleaned_text = re.sub(regex, '', text)
-                        return gr.update(label='Aspect Ratios ' + cleaned_text)
-
-                    aspect_ratios_selection.change(change_aspect_ratio, inputs=aspect_ratios_selection, outputs=aspect_ratios_accordion, queue=False, show_progress=False)
-                    shared.gradio_root.load(change_aspect_ratio, inputs=aspect_ratios_selection, outputs=aspect_ratios_accordion, queue=False, show_progress=False)
+                    aspect_ratios_selection.change(lambda x: None, inputs=aspect_ratios_selection, queue=False, show_progress=False, _js='(x)=>{refresh_aspect_ratios_label(x);}')
+                    shared.gradio_root.load(lambda x: None, inputs=aspect_ratios_selection, queue=False, show_progress=False, _js='(x)=>{refresh_aspect_ratios_label(x);}')
 
                 image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number)
 

From 989a1ad52b209cc0712c610b69988e1bf14eddb6 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 26 May 2024 22:07:44 +0200
Subject: [PATCH 157/180] Revert "feat: add clip skip handling (#2999)" (#3008)

This reverts commit cc58fe52706a5a9ec75ad12f9643e19fe170e253.
---
 language/en.json            |  1 -
 modules/async_worker.py     |  6 ------
 modules/config.py           |  6 ------
 modules/default_pipeline.py | 11 -----------
 modules/meta_parser.py      | 18 ++++++++----------
 webui.py                    | 11 ++++-------
 6 files changed, 12 insertions(+), 41 deletions(-)

diff --git a/language/en.json b/language/en.json
index a4056e1e..90eaf2ee 100644
--- a/language/en.json
+++ b/language/en.json
@@ -320,7 +320,6 @@
     "vae": "vae",
     "CFG Mimicking from TSNR": "CFG Mimicking from TSNR",
     "Enabling Fooocus's implementation of CFG mimicking for TSNR (effective when real CFG > mimicked CFG).": "Enabling Fooocus's implementation of CFG mimicking for TSNR (effective when real CFG > mimicked CFG).",
-    "CLIP Skip": "CLIP Skip",
     "Sampler": "Sampler",
     "dpmpp_2m_sde_gpu": "dpmpp_2m_sde_gpu",
     "Only effective in non-inpaint mode.": "Only effective in non-inpaint mode.",
diff --git a/modules/async_worker.py b/modules/async_worker.py
index d7d9b9fd..594886d2 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -174,7 +174,6 @@ def worker():
         adm_scaler_negative = args.pop()
         adm_scaler_end = args.pop()
         adaptive_cfg = args.pop()
-        clip_skip = args.pop()
         sampler_name = args.pop()
         scheduler_name = args.pop()
         vae_name = args.pop()
@@ -298,7 +297,6 @@ def worker():
             adm_scaler_end = 0.0
 
         print(f'[Parameters] Adaptive CFG = {adaptive_cfg}')
-        print(f'[Parameters] CLIP Skip = {clip_skip}')
         print(f'[Parameters] Sharpness = {sharpness}')
         print(f'[Parameters] ControlNet Softness = {controlnet_softness}')
         print(f'[Parameters] ADM Scale = '
@@ -468,8 +466,6 @@ def worker():
                                         loras=loras, base_model_additional_loras=base_model_additional_loras,
                                         use_synthetic_refiner=use_synthetic_refiner, vae_name=vae_name)
 
-            pipeline.set_clip_skip(clip_skip)
-
             progressbar(async_task, 3, 'Processing prompts ...')
             tasks = []
 
@@ -928,8 +924,6 @@ def worker():
                         d.append(
                             ('CFG Mimicking from TSNR', 'adaptive_cfg', modules.patch.patch_settings[pid].adaptive_cfg))
 
-                    if clip_skip > 1:
-                        d.append(('CLIP Skip', 'clip_skip', clip_skip))
                     d.append(('Sampler', 'sampler', sampler_name))
                     d.append(('Scheduler', 'scheduler', scheduler_name))
                     d.append(('VAE', 'vae', vae_name))
diff --git a/modules/config.py b/modules/config.py
index 0aee2713..08ed99d7 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -434,11 +434,6 @@ default_cfg_tsnr = get_config_item_or_set_default(
     default_value=7.0,
     validator=lambda x: isinstance(x, numbers.Number)
 )
-default_clip_skip = get_config_item_or_set_default(
-    key='default_clip_skip',
-    default_value=1,
-    validator=lambda x: isinstance(x, numbers.Number)
-)
 default_overwrite_step = get_config_item_or_set_default(
     key='default_overwrite_step',
     default_value=-1,
@@ -493,7 +488,6 @@ possible_preset_keys = {
     "default_cfg_scale": "guidance_scale",
     "default_sample_sharpness": "sharpness",
     "default_cfg_tsnr": "adaptive_cfg",
-    "default_clip_skip": "clip_skip",
     "default_sampler": "sampler",
     "default_scheduler": "scheduler",
     "default_overwrite_step": "steps",
diff --git a/modules/default_pipeline.py b/modules/default_pipeline.py
index 494644d6..38f914c5 100644
--- a/modules/default_pipeline.py
+++ b/modules/default_pipeline.py
@@ -201,17 +201,6 @@ def clip_encode(texts, pool_top_k=1):
     return [[torch.cat(cond_list, dim=1), {"pooled_output": pooled_acc}]]
 
 
-@torch.no_grad()
-@torch.inference_mode()
-def set_clip_skip(clip_skip: int):
-    global final_clip
-
-    if final_clip is None:
-        return
-
-    final_clip.clip_layer(-abs(clip_skip))
-    return
-
 @torch.no_grad()
 @torch.inference_mode()
 def clear_all_caches():
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 586e62da..4ce12435 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -34,17 +34,16 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
     get_list('styles', 'Styles', loaded_parameter_dict, results)
     get_str('performance', 'Performance', loaded_parameter_dict, results)
     get_steps('steps', 'Steps', loaded_parameter_dict, results)
-    get_number('overwrite_switch', 'Overwrite Switch', loaded_parameter_dict, results)
+    get_float('overwrite_switch', 'Overwrite Switch', loaded_parameter_dict, results)
     get_resolution('resolution', 'Resolution', loaded_parameter_dict, results)
-    get_number('guidance_scale', 'Guidance Scale', loaded_parameter_dict, results)
-    get_number('sharpness', 'Sharpness', loaded_parameter_dict, results)
+    get_float('guidance_scale', 'Guidance Scale', loaded_parameter_dict, results)
+    get_float('sharpness', 'Sharpness', loaded_parameter_dict, results)
     get_adm_guidance('adm_guidance', 'ADM Guidance', loaded_parameter_dict, results)
     get_str('refiner_swap_method', 'Refiner Swap Method', loaded_parameter_dict, results)
-    get_number('adaptive_cfg', 'CFG Mimicking from TSNR', loaded_parameter_dict, results)
-    get_number('clip_skip', 'CLIP Skip', loaded_parameter_dict, results, cast_type=int)
+    get_float('adaptive_cfg', 'CFG Mimicking from TSNR', loaded_parameter_dict, results)
     get_str('base_model', 'Base Model', loaded_parameter_dict, results)
     get_str('refiner_model', 'Refiner Model', loaded_parameter_dict, results)
-    get_number('refiner_switch', 'Refiner Switch', loaded_parameter_dict, results)
+    get_float('refiner_switch', 'Refiner Switch', loaded_parameter_dict, results)
     get_str('sampler', 'Sampler', loaded_parameter_dict, results)
     get_str('scheduler', 'Scheduler', loaded_parameter_dict, results)
     get_str('vae', 'VAE', loaded_parameter_dict, results)
@@ -84,11 +83,11 @@ def get_list(key: str, fallback: str | None, source_dict: dict, results: list, d
         results.append(gr.update())
 
 
-def get_number(key: str, fallback: str | None, source_dict: dict, results: list, default=None, cast_type=float):
+def get_float(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
     try:
         h = source_dict.get(key, source_dict.get(fallback, default))
         assert h is not None
-        h = cast_type(h)
+        h = float(h)
         results.append(h)
     except:
         results.append(gr.update())
@@ -315,7 +314,6 @@ class A1111MetadataParser(MetadataParser):
         'adm_guidance': 'ADM Guidance',
         'refiner_swap_method': 'Refiner Swap Method',
         'adaptive_cfg': 'Adaptive CFG',
-        'clip_skip': 'Clip skip',
         'overwrite_switch': 'Overwrite Switch',
         'freeu': 'FreeU',
         'base_model': 'Model',
@@ -460,7 +458,7 @@ class A1111MetadataParser(MetadataParser):
                 self.fooocus_to_a1111['refiner_model_hash']: self.refiner_model_hash
             }
 
-        for key in ['adaptive_cfg', 'clip_skip', 'overwrite_switch', 'refiner_swap_method', 'freeu']:
+        for key in ['adaptive_cfg', 'overwrite_switch', 'refiner_swap_method', 'freeu']:
             if key in data:
                 generation_params[self.fooocus_to_a1111[key]] = data[key]
 
diff --git a/webui.py b/webui.py
index edc9b6b1..090604a0 100644
--- a/webui.py
+++ b/webui.py
@@ -421,9 +421,6 @@ with shared.gradio_root:
                                                  value=modules.config.default_cfg_tsnr,
                                                  info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR '
                                                       '(effective when real CFG > mimicked CFG).')
-                        clip_skip = gr.Slider(label='CLIP Skip', minimum=1, maximum=10, step=1,
-                                                 value=modules.config.default_clip_skip,
-                                                 info='Bypass CLIP layers to avoid overfitting (use 1 to disable).')
                         sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list,
                                                    value=modules.config.default_sampler)
                         scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list,
@@ -588,9 +585,9 @@ with shared.gradio_root:
         load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
                              performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
                              overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
-                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, clip_skip,
-                             base_model, refiner_model, refiner_switch, sampler_name, scheduler_name, vae_name,
-                             seed_random, image_seed, generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
+                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
+                             refiner_model, refiner_switch, sampler_name, scheduler_name, vae_name, seed_random,
+                             image_seed, generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
 
         if not args_manager.args.disable_preset_selection:
             def preset_selection_change(preset, is_generating):
@@ -675,7 +672,7 @@ with shared.gradio_root:
         ctrls += [uov_method, uov_input_image]
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
         ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment, black_out_nsfw]
-        ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, clip_skip]
+        ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
         ctrls += [sampler_name, scheduler_name, vae_name]
         ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
         ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]

From dfff9b7dcfe447d3595d87c640af78ccf7389eae Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Mon, 27 May 2024 00:28:22 +0200
Subject: [PATCH 158/180] fix: adjust clip skip default value from 1 to 2
 (#3011)

* Revert "Revert "feat: add clip skip handling (#2999)" (#3008)"

This reverts commit 989a1ad52b209cc0712c610b69988e1bf14eddb6.

* feat: use clip skip 2 as default
---
 language/en.json            |  2 ++
 modules/async_worker.py     |  6 ++++++
 modules/config.py           |  6 ++++++
 modules/default_pipeline.py | 11 +++++++++++
 modules/flags.py            |  2 ++
 modules/meta_parser.py      | 18 ++++++++++--------
 webui.py                    | 11 +++++++----
 7 files changed, 44 insertions(+), 12 deletions(-)

diff --git a/language/en.json b/language/en.json
index 90eaf2ee..5819f4ee 100644
--- a/language/en.json
+++ b/language/en.json
@@ -320,6 +320,8 @@
     "vae": "vae",
     "CFG Mimicking from TSNR": "CFG Mimicking from TSNR",
     "Enabling Fooocus's implementation of CFG mimicking for TSNR (effective when real CFG > mimicked CFG).": "Enabling Fooocus's implementation of CFG mimicking for TSNR (effective when real CFG > mimicked CFG).",
+    "CLIP Skip": "CLIP Skip",
+    "Bypass CLIP layers to avoid overfitting (use 1 to not skip any layers, 2 is recommended).": "Bypass CLIP layers to avoid overfitting (use 1 to not skip any layers, 2 is recommended).",
     "Sampler": "Sampler",
     "dpmpp_2m_sde_gpu": "dpmpp_2m_sde_gpu",
     "Only effective in non-inpaint mode.": "Only effective in non-inpaint mode.",
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 594886d2..d7d9b9fd 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -174,6 +174,7 @@ def worker():
         adm_scaler_negative = args.pop()
         adm_scaler_end = args.pop()
         adaptive_cfg = args.pop()
+        clip_skip = args.pop()
         sampler_name = args.pop()
         scheduler_name = args.pop()
         vae_name = args.pop()
@@ -297,6 +298,7 @@ def worker():
             adm_scaler_end = 0.0
 
         print(f'[Parameters] Adaptive CFG = {adaptive_cfg}')
+        print(f'[Parameters] CLIP Skip = {clip_skip}')
         print(f'[Parameters] Sharpness = {sharpness}')
         print(f'[Parameters] ControlNet Softness = {controlnet_softness}')
         print(f'[Parameters] ADM Scale = '
@@ -466,6 +468,8 @@ def worker():
                                         loras=loras, base_model_additional_loras=base_model_additional_loras,
                                         use_synthetic_refiner=use_synthetic_refiner, vae_name=vae_name)
 
+            pipeline.set_clip_skip(clip_skip)
+
             progressbar(async_task, 3, 'Processing prompts ...')
             tasks = []
 
@@ -924,6 +928,8 @@ def worker():
                         d.append(
                             ('CFG Mimicking from TSNR', 'adaptive_cfg', modules.patch.patch_settings[pid].adaptive_cfg))
 
+                    if clip_skip > 1:
+                        d.append(('CLIP Skip', 'clip_skip', clip_skip))
                     d.append(('Sampler', 'sampler', sampler_name))
                     d.append(('Scheduler', 'scheduler', scheduler_name))
                     d.append(('VAE', 'vae', vae_name))
diff --git a/modules/config.py b/modules/config.py
index 08ed99d7..cb651c5b 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -434,6 +434,11 @@ default_cfg_tsnr = get_config_item_or_set_default(
     default_value=7.0,
     validator=lambda x: isinstance(x, numbers.Number)
 )
+default_clip_skip = get_config_item_or_set_default(
+    key='default_clip_skip',
+    default_value=2,
+    validator=lambda x: isinstance(x, int) and 1 <= x <= modules.flags.clip_skip_max
+)
 default_overwrite_step = get_config_item_or_set_default(
     key='default_overwrite_step',
     default_value=-1,
@@ -488,6 +493,7 @@ possible_preset_keys = {
     "default_cfg_scale": "guidance_scale",
     "default_sample_sharpness": "sharpness",
     "default_cfg_tsnr": "adaptive_cfg",
+    "default_clip_skip": "clip_skip",
     "default_sampler": "sampler",
     "default_scheduler": "scheduler",
     "default_overwrite_step": "steps",
diff --git a/modules/default_pipeline.py b/modules/default_pipeline.py
index 38f914c5..494644d6 100644
--- a/modules/default_pipeline.py
+++ b/modules/default_pipeline.py
@@ -201,6 +201,17 @@ def clip_encode(texts, pool_top_k=1):
     return [[torch.cat(cond_list, dim=1), {"pooled_output": pooled_acc}]]
 
 
+@torch.no_grad()
+@torch.inference_mode()
+def set_clip_skip(clip_skip: int):
+    global final_clip
+
+    if final_clip is None:
+        return
+
+    final_clip.clip_layer(-abs(clip_skip))
+    return
+
 @torch.no_grad()
 @torch.inference_mode()
 def clear_all_caches():
diff --git a/modules/flags.py b/modules/flags.py
index 89e1ea0f..e48052e1 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -54,6 +54,8 @@ SAMPLER_NAMES = KSAMPLER_NAMES + list(SAMPLER_EXTRA.keys())
 sampler_list = SAMPLER_NAMES
 scheduler_list = SCHEDULER_NAMES
 
+clip_skip_max = 12
+
 default_vae = 'Default (model)'
 
 refiner_swap_method = 'joint'
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 4ce12435..586e62da 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -34,16 +34,17 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
     get_list('styles', 'Styles', loaded_parameter_dict, results)
     get_str('performance', 'Performance', loaded_parameter_dict, results)
     get_steps('steps', 'Steps', loaded_parameter_dict, results)
-    get_float('overwrite_switch', 'Overwrite Switch', loaded_parameter_dict, results)
+    get_number('overwrite_switch', 'Overwrite Switch', loaded_parameter_dict, results)
     get_resolution('resolution', 'Resolution', loaded_parameter_dict, results)
-    get_float('guidance_scale', 'Guidance Scale', loaded_parameter_dict, results)
-    get_float('sharpness', 'Sharpness', loaded_parameter_dict, results)
+    get_number('guidance_scale', 'Guidance Scale', loaded_parameter_dict, results)
+    get_number('sharpness', 'Sharpness', loaded_parameter_dict, results)
     get_adm_guidance('adm_guidance', 'ADM Guidance', loaded_parameter_dict, results)
     get_str('refiner_swap_method', 'Refiner Swap Method', loaded_parameter_dict, results)
-    get_float('adaptive_cfg', 'CFG Mimicking from TSNR', loaded_parameter_dict, results)
+    get_number('adaptive_cfg', 'CFG Mimicking from TSNR', loaded_parameter_dict, results)
+    get_number('clip_skip', 'CLIP Skip', loaded_parameter_dict, results, cast_type=int)
     get_str('base_model', 'Base Model', loaded_parameter_dict, results)
     get_str('refiner_model', 'Refiner Model', loaded_parameter_dict, results)
-    get_float('refiner_switch', 'Refiner Switch', loaded_parameter_dict, results)
+    get_number('refiner_switch', 'Refiner Switch', loaded_parameter_dict, results)
     get_str('sampler', 'Sampler', loaded_parameter_dict, results)
     get_str('scheduler', 'Scheduler', loaded_parameter_dict, results)
     get_str('vae', 'VAE', loaded_parameter_dict, results)
@@ -83,11 +84,11 @@ def get_list(key: str, fallback: str | None, source_dict: dict, results: list, d
         results.append(gr.update())
 
 
-def get_float(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
+def get_number(key: str, fallback: str | None, source_dict: dict, results: list, default=None, cast_type=float):
     try:
         h = source_dict.get(key, source_dict.get(fallback, default))
         assert h is not None
-        h = float(h)
+        h = cast_type(h)
         results.append(h)
     except:
         results.append(gr.update())
@@ -314,6 +315,7 @@ class A1111MetadataParser(MetadataParser):
         'adm_guidance': 'ADM Guidance',
         'refiner_swap_method': 'Refiner Swap Method',
         'adaptive_cfg': 'Adaptive CFG',
+        'clip_skip': 'Clip skip',
         'overwrite_switch': 'Overwrite Switch',
         'freeu': 'FreeU',
         'base_model': 'Model',
@@ -458,7 +460,7 @@ class A1111MetadataParser(MetadataParser):
                 self.fooocus_to_a1111['refiner_model_hash']: self.refiner_model_hash
             }
 
-        for key in ['adaptive_cfg', 'overwrite_switch', 'refiner_swap_method', 'freeu']:
+        for key in ['adaptive_cfg', 'clip_skip', 'overwrite_switch', 'refiner_swap_method', 'freeu']:
             if key in data:
                 generation_params[self.fooocus_to_a1111[key]] = data[key]
 
diff --git a/webui.py b/webui.py
index 090604a0..49f00aab 100644
--- a/webui.py
+++ b/webui.py
@@ -421,6 +421,9 @@ with shared.gradio_root:
                                                  value=modules.config.default_cfg_tsnr,
                                                  info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR '
                                                       '(effective when real CFG > mimicked CFG).')
+                        clip_skip = gr.Slider(label='CLIP Skip', minimum=1, maximum=flags.clip_skip_max, step=1,
+                                                 value=modules.config.default_clip_skip,
+                                                 info='Bypass CLIP layers to avoid overfitting (use 1 to not skip any layers, 2 is recommended).')
                         sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list,
                                                    value=modules.config.default_sampler)
                         scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list,
@@ -585,9 +588,9 @@ with shared.gradio_root:
         load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
                              performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
                              overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
-                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
-                             refiner_model, refiner_switch, sampler_name, scheduler_name, vae_name, seed_random,
-                             image_seed, generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
+                             adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, clip_skip,
+                             base_model, refiner_model, refiner_switch, sampler_name, scheduler_name, vae_name,
+                             seed_random, image_seed, generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
 
         if not args_manager.args.disable_preset_selection:
             def preset_selection_change(preset, is_generating):
@@ -672,7 +675,7 @@ with shared.gradio_root:
         ctrls += [uov_method, uov_input_image]
         ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image]
         ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment, black_out_nsfw]
-        ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
+        ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, clip_skip]
         ctrls += [sampler_name, scheduler_name, vae_name]
         ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
         ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]

From 0e621ae34ec1c8c0d81b83ce95eed51f0ab2d617 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 28 May 2024 00:09:39 +0200
Subject: [PATCH 159/180] fix: add type check for undefined, use fallback when
 no translation for aspect ratios was given (#3025)

---
 javascript/localization.js | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/javascript/localization.js b/javascript/localization.js
index 9f13d6fc..21b3b333 100644
--- a/javascript/localization.js
+++ b/javascript/localization.js
@@ -81,9 +81,12 @@ function refresh_style_localization() {
 }
 
 function refresh_aspect_ratios_label(value) {
-    label = document.querySelector('#aspect_ratios_accordion div span[data-original-text="Aspect Ratios"]')
-    translation = getTranslation("Aspect Ratios")
-    label.textContent = translation + " " + htmlDecode(value)
+    label = document.querySelector('#aspect_ratios_accordion div span[data-original-text="Aspect Ratios"]');
+    translation = getTranslation("Aspect Ratios");
+    if (typeof translation == "undefined") {
+        translation = "Aspect Ratios";
+    }
+    label.textContent = translation + " " + htmlDecode(value);
 }
 
 function localizeWholePage() {

From 4a070a9d610a1955c90f7619055460729ae0ac60 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 28 May 2024 00:49:47 +0200
Subject: [PATCH 160/180] feat: build docker image tagged "edge" on push to
 main branch (#3026)

* feat: build docker image on push to main branch

* feat: add tag "edge" for main when building the docker image

* feat: update name of build container workflow
---
 .github/workflows/build_container.yml | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/build_container.yml b/.github/workflows/build_container.yml
index 1e118a1f..eb70cda3 100644
--- a/.github/workflows/build_container.yml
+++ b/.github/workflows/build_container.yml
@@ -1,9 +1,11 @@
-name: Create and publish a container image
+name: Docker image build
 
 on:
   push:
+    branches:
+      - main
     tags:
-      - 'v*'
+      - v*
 
 jobs:
   build-and-push-image:
@@ -33,6 +35,7 @@ jobs:
             type=semver,pattern={{version}}
             type=semver,pattern={{major}}.{{minor}}
             type=semver,pattern={{major}}
+            type=edge,branch=main
 
       - name: Build and push Docker image
         uses: docker/build-push-action@v5

From 725bf05c3129888c237a09dbfdc8ab751263492a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 28 May 2024 01:10:45 +0200
Subject: [PATCH 161/180] release: bump version to 2.4.1, update changelog
 (#3027)

---
 fooocus_version.py | 2 +-
 update_log.md      | 5 +++++
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index ecc15807..75011458 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.4.0'
+version = '2.4.1'
diff --git a/update_log.md b/update_log.md
index 77d70cb4..733f077b 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,8 @@
+# [2.4.1](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.1)
+
+* Fix some small bugs (e.g. adjust clip skip default value from 1 to 2, add type check to aspect ratios js update function)
+* Add automated docker build on push to main, tagged with `edge`. See [available docker images](https://github.com/lllyasviel/Fooocus/pkgs/container/fooocus).
+
 # [2.4.0](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.0)
 
 * Change settings tab elements to be more compact

From bf70815a6643d2782bae69ee4c96a7af6f906a1e Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Wed, 29 May 2024 19:49:07 +0200
Subject: [PATCH 162/180] fix: use default vae name instead of None on file
 refresh (#3045)

---
 webui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/webui.py b/webui.py
index 49f00aab..0dd86350 100644
--- a/webui.py
+++ b/webui.py
@@ -569,7 +569,7 @@ with shared.gradio_root:
                     modules.config.update_files()
                     results = [gr.update(choices=modules.config.model_filenames)]
                     results += [gr.update(choices=['None'] + modules.config.model_filenames)]
-                    results += [gr.update(choices=['None'] + modules.config.vae_filenames)]
+                    results += [gr.update(choices=[flags.default_vae] + modules.config.vae_filenames)]
                     if not args_manager.args.disable_preset_selection:
                         results += [gr.update(choices=modules.config.available_presets)]
                     for i in range(modules.config.default_max_lora_number):

From 3ef663c5b70f934c5e8f4422a34189069208ff72 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Wed, 29 May 2024 20:33:15 +0200
Subject: [PATCH 163/180] fix: do not set textContent on undefined when no
 translation was given #2 (#3046)

* fix: do not set textContent on undefined when no translation was given
---
 javascript/localization.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/javascript/localization.js b/javascript/localization.js
index 21b3b333..02e4cfba 100644
--- a/javascript/localization.js
+++ b/javascript/localization.js
@@ -81,7 +81,7 @@ function refresh_style_localization() {
 }
 
 function refresh_aspect_ratios_label(value) {
-    label = document.querySelector('#aspect_ratios_accordion div span[data-original-text="Aspect Ratios"]');
+    label = document.querySelector('#aspect_ratios_accordion div span');
     translation = getTranslation("Aspect Ratios");
     if (typeof translation == "undefined") {
         translation = "Aspect Ratios";

From 4e658bb63a4456a00fd00f73c0c694cbee32ef03 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 30 May 2024 16:14:28 +0200
Subject: [PATCH 164/180] feat: optimize performance lora filtering in metadata
 (#3048)

* feat: add remove_performance_lora method

* feat: use class PerformanceLoRA instead of strings in config

* refactor: cleanup flags, use __member__ to check if enums contains key

* feat: only filter lora of selected performance instead of all performance LoRAs

* fix: disable intermediate results for all restricted performances

too fast for Gradio, which becomes a bottleneck

* refactor: rename parse_json to to_json, rename parse_string to to_string

* feat: use speed steps as default instead of hardcoded 30

* feat: add method to_steps to Performance

* refactor: remove method ordinal_suffix, not needed anymore

* feat: only filter lora of selected performance instead of all performance LoRAs

both metadata and history log

* feat: do not filter LoRAs in metadata parser but rather in metadata load action
---
 modules/async_worker.py   |  4 ++-
 modules/config.py         | 32 ++++++---------------
 modules/flags.py          | 23 ++++++++++++++--
 modules/meta_parser.py    | 43 +++++++++++++++++++----------
 modules/private_logger.py |  2 +-
 modules/util.py           | 29 ++++++++++++++++----
 tests/test_utils.py       | 58 ++++++++++++++++++++++++++++++++++++++-
 webui.py                  |  6 ++--
 8 files changed, 144 insertions(+), 53 deletions(-)

diff --git a/modules/async_worker.py b/modules/async_worker.py
index d7d9b9fd..9c16d6fc 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -462,8 +462,10 @@ def worker():
 
             progressbar(async_task, 2, 'Loading models ...')
 
-            loras, prompt = parse_lora_references_from_prompt(prompt, loras, modules.config.default_max_lora_number)
+            lora_filenames = modules.util.remove_performance_lora(modules.config.lora_filenames, performance_selection)
+            loras, prompt = parse_lora_references_from_prompt(prompt, loras, modules.config.default_max_lora_number, lora_filenames=lora_filenames)
             loras += performance_loras
+
             pipeline.refresh_everything(refiner_model_name=refiner_model_name, base_model_name=base_model_name,
                                         loras=loras, base_model_additional_loras=base_model_additional_loras,
                                         use_synthetic_refiner=use_synthetic_refiner, vae_name=vae_name)
diff --git a/modules/config.py b/modules/config.py
index cb651c5b..29a16d6d 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -548,25 +548,9 @@ with open(config_example_path, "w", encoding="utf-8") as json_file:
 
 model_filenames = []
 lora_filenames = []
-lora_filenames_no_special = []
 vae_filenames = []
 wildcard_filenames = []
 
-sdxl_lcm_lora = 'sdxl_lcm_lora.safetensors'
-sdxl_lightning_lora = 'sdxl_lightning_4step_lora.safetensors'
-sdxl_hyper_sd_lora = 'sdxl_hyper_sd_4step_lora.safetensors'
-loras_metadata_remove = [sdxl_lcm_lora, sdxl_lightning_lora, sdxl_hyper_sd_lora]
-
-
-def remove_special_loras(lora_filenames):
-    global loras_metadata_remove
-
-    loras_no_special = lora_filenames.copy()
-    for lora_to_remove in loras_metadata_remove:
-        if lora_to_remove in loras_no_special:
-            loras_no_special.remove(lora_to_remove)
-    return loras_no_special
-
 
 def get_model_filenames(folder_paths, extensions=None, name_filter=None):
     if extensions is None:
@@ -582,10 +566,9 @@ def get_model_filenames(folder_paths, extensions=None, name_filter=None):
 
 
 def update_files():
-    global model_filenames, lora_filenames, lora_filenames_no_special, vae_filenames, wildcard_filenames, available_presets
+    global model_filenames, lora_filenames, vae_filenames, wildcard_filenames, available_presets
     model_filenames = get_model_filenames(paths_checkpoints)
     lora_filenames = get_model_filenames(paths_loras)
-    lora_filenames_no_special = remove_special_loras(lora_filenames)
     vae_filenames = get_model_filenames(path_vae)
     wildcard_filenames = get_files_from_folder(path_wildcards, ['.txt'])
     available_presets = get_presets()
@@ -634,26 +617,27 @@ def downloading_sdxl_lcm_lora():
     load_file_from_url(
         url='https://huggingface.co/lllyasviel/misc/resolve/main/sdxl_lcm_lora.safetensors',
         model_dir=paths_loras[0],
-        file_name=sdxl_lcm_lora
+        file_name=modules.flags.PerformanceLoRA.EXTREME_SPEED.value
     )
-    return sdxl_lcm_lora
+    return modules.flags.PerformanceLoRA.EXTREME_SPEED.value
+
 
 def downloading_sdxl_lightning_lora():
     load_file_from_url(
         url='https://huggingface.co/mashb1t/misc/resolve/main/sdxl_lightning_4step_lora.safetensors',
         model_dir=paths_loras[0],
-        file_name=sdxl_lightning_lora
+        file_name=modules.flags.PerformanceLoRA.LIGHTNING.value
     )
-    return sdxl_lightning_lora
+    return modules.flags.PerformanceLoRA.LIGHTNING.value
 
 
 def downloading_sdxl_hyper_sd_lora():
     load_file_from_url(
         url='https://huggingface.co/mashb1t/misc/resolve/main/sdxl_hyper_sd_4step_lora.safetensors',
         model_dir=paths_loras[0],
-        file_name=sdxl_hyper_sd_lora
+        file_name=modules.flags.PerformanceLoRA.HYPER_SD.value
     )
-    return sdxl_hyper_sd_lora
+    return modules.flags.PerformanceLoRA.HYPER_SD.value
 
 
 def downloading_controlnet_canny():
diff --git a/modules/flags.py b/modules/flags.py
index e48052e1..25b0caae 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -48,7 +48,8 @@ SAMPLERS = KSAMPLER | SAMPLER_EXTRA
 
 KSAMPLER_NAMES = list(KSAMPLER.keys())
 
-SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo", "align_your_steps", "tcd"]
+SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo",
+                   "align_your_steps", "tcd"]
 SAMPLER_NAMES = KSAMPLER_NAMES + list(SAMPLER_EXTRA.keys())
 
 sampler_list = SAMPLER_NAMES
@@ -91,6 +92,7 @@ sdxl_aspect_ratios = [
     '1664*576', '1728*576'
 ]
 
+
 class MetadataScheme(Enum):
     FOOOCUS = 'fooocus'
     A1111 = 'a1111'
@@ -115,6 +117,14 @@ class OutputFormat(Enum):
         return list(map(lambda c: c.value, cls))
 
 
+class PerformanceLoRA(Enum):
+    QUALITY = None
+    SPEED = None
+    EXTREME_SPEED = 'sdxl_lcm_lora.safetensors'
+    LIGHTNING = 'sdxl_lightning_4step_lora.safetensors'
+    HYPER_SD = 'sdxl_hyper_sd_4step_lora.safetensors'
+
+
 class Steps(IntEnum):
     QUALITY = 60
     SPEED = 30
@@ -142,6 +152,10 @@ class Performance(Enum):
     def list(cls) -> list:
         return list(map(lambda c: c.value, cls))
 
+    @classmethod
+    def by_steps(cls, steps: int | str):
+        return cls[Steps(int(steps)).name]
+
     @classmethod
     def has_restricted_features(cls, x) -> bool:
         if isinstance(x, Performance):
@@ -149,7 +163,10 @@ class Performance(Enum):
         return x in [cls.EXTREME_SPEED.value, cls.LIGHTNING.value, cls.HYPER_SD.value]
 
     def steps(self) -> int | None:
-        return Steps[self.name].value if Steps[self.name] else None
+        return Steps[self.name].value if self.name in Steps.__members__ else None
 
     def steps_uov(self) -> int | None:
-        return StepsUOV[self.name].value if Steps[self.name] else None
+        return StepsUOV[self.name].value if self.name in StepsUOV.__members__ else None
+
+    def lora_filename(self) -> str | None:
+        return PerformanceLoRA[self.name].value if self.name in PerformanceLoRA.__members__ else None
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 586e62da..0d509a19 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -32,7 +32,7 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
     get_str('prompt', 'Prompt', loaded_parameter_dict, results)
     get_str('negative_prompt', 'Negative Prompt', loaded_parameter_dict, results)
     get_list('styles', 'Styles', loaded_parameter_dict, results)
-    get_str('performance', 'Performance', loaded_parameter_dict, results)
+    performance = get_str('performance', 'Performance', loaded_parameter_dict, results)
     get_steps('steps', 'Steps', loaded_parameter_dict, results)
     get_number('overwrite_switch', 'Overwrite Switch', loaded_parameter_dict, results)
     get_resolution('resolution', 'Resolution', loaded_parameter_dict, results)
@@ -59,19 +59,27 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
 
     get_freeu('freeu', 'FreeU', loaded_parameter_dict, results)
 
+    # prevent performance LoRAs to be added twice, by performance and by lora
+    performance_filename = None
+    if performance is not None and performance in Performance.list():
+        performance = Performance(performance)
+        performance_filename = performance.lora_filename()
+
     for i in range(modules.config.default_max_lora_number):
-        get_lora(f'lora_combined_{i + 1}', f'LoRA {i + 1}', loaded_parameter_dict, results)
+        get_lora(f'lora_combined_{i + 1}', f'LoRA {i + 1}', loaded_parameter_dict, results, performance_filename)
 
     return results
 
 
-def get_str(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
+def get_str(key: str, fallback: str | None, source_dict: dict, results: list, default=None) -> str | None:
     try:
         h = source_dict.get(key, source_dict.get(fallback, default))
         assert isinstance(h, str)
         results.append(h)
+        return h
     except:
         results.append(gr.update())
+        return None
 
 
 def get_list(key: str, fallback: str | None, source_dict: dict, results: list, default=None):
@@ -181,7 +189,7 @@ def get_freeu(key: str, fallback: str | None, source_dict: dict, results: list,
         results.append(gr.update())
 
 
-def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
+def get_lora(key: str, fallback: str | None, source_dict: dict, results: list, performance_filename: str | None):
     try:
         split_data = source_dict.get(key, source_dict.get(fallback)).split(' : ')
         enabled = True
@@ -193,6 +201,9 @@ def get_lora(key: str, fallback: str | None, source_dict: dict, results: list):
             name = split_data[1]
             weight = split_data[2]
 
+        if name == performance_filename:
+            raise Exception
+
         weight = float(weight)
         results.append(enabled)
         results.append(name)
@@ -248,7 +259,7 @@ class MetadataParser(ABC):
         self.full_prompt: str = ''
         self.raw_negative_prompt: str = ''
         self.full_negative_prompt: str = ''
-        self.steps: int = 30
+        self.steps: int = Steps.SPEED.value
         self.base_model_name: str = ''
         self.base_model_hash: str = ''
         self.refiner_model_name: str = ''
@@ -261,11 +272,11 @@ class MetadataParser(ABC):
         raise NotImplementedError
 
     @abstractmethod
-    def parse_json(self, metadata: dict | str) -> dict:
+    def to_json(self, metadata: dict | str) -> dict:
         raise NotImplementedError
 
     @abstractmethod
-    def parse_string(self, metadata: dict) -> str:
+    def to_string(self, metadata: dict) -> str:
         raise NotImplementedError
 
     def set_data(self, raw_prompt, full_prompt, raw_negative_prompt, full_negative_prompt, steps, base_model_name,
@@ -328,7 +339,7 @@ class A1111MetadataParser(MetadataParser):
         'version': 'Version'
     }
 
-    def parse_json(self, metadata: str) -> dict:
+    def to_json(self, metadata: str) -> dict:
         metadata_prompt = ''
         metadata_negative_prompt = ''
 
@@ -382,9 +393,9 @@ class A1111MetadataParser(MetadataParser):
         data['styles'] = str(found_styles)
 
         # try to load performance based on steps, fallback for direct A1111 imports
-        if 'steps' in data and 'performance' not in data:
+        if 'steps' in data and 'performance' in data is None:
             try:
-                data['performance'] = Performance[Steps(int(data['steps'])).name].value
+                data['performance'] = Performance.by_steps(data['steps']).value
             except ValueError | KeyError:
                 pass
 
@@ -414,7 +425,7 @@ class A1111MetadataParser(MetadataParser):
                 lora_split = lora.split(': ')
                 lora_name = lora_split[0]
                 lora_weight = lora_split[2] if len(lora_split) == 3 else lora_split[1]
-                for filename in modules.config.lora_filenames_no_special:
+                for filename in modules.config.lora_filenames:
                     path = Path(filename)
                     if lora_name == path.stem:
                         data[f'lora_combined_{li + 1}'] = f'{filename} : {lora_weight}'
@@ -422,7 +433,7 @@ class A1111MetadataParser(MetadataParser):
 
         return data
 
-    def parse_string(self, metadata: dict) -> str:
+    def to_string(self, metadata: dict) -> str:
         data = {k: v for _, k, v in metadata}
 
         width, height = eval(data['resolution'])
@@ -502,14 +513,14 @@ class FooocusMetadataParser(MetadataParser):
     def get_scheme(self) -> MetadataScheme:
         return MetadataScheme.FOOOCUS
 
-    def parse_json(self, metadata: dict) -> dict:
+    def to_json(self, metadata: dict) -> dict:
         for key, value in metadata.items():
             if value in ['', 'None']:
                 continue
             if key in ['base_model', 'refiner_model']:
                 metadata[key] = self.replace_value_with_filename(key, value, modules.config.model_filenames)
             elif key.startswith('lora_combined_'):
-                metadata[key] = self.replace_value_with_filename(key, value, modules.config.lora_filenames_no_special)
+                metadata[key] = self.replace_value_with_filename(key, value, modules.config.lora_filenames)
             elif key == 'vae':
                 metadata[key] = self.replace_value_with_filename(key, value, modules.config.vae_filenames)
             else:
@@ -517,7 +528,7 @@ class FooocusMetadataParser(MetadataParser):
 
         return metadata
 
-    def parse_string(self, metadata: list) -> str:
+    def to_string(self, metadata: list) -> str:
         for li, (label, key, value) in enumerate(metadata):
             # remove model folder paths from metadata
             if key.startswith('lora_combined_'):
@@ -557,6 +568,8 @@ class FooocusMetadataParser(MetadataParser):
             elif value == path.stem:
                 return filename
 
+        return None
+
 
 def get_metadata_parser(metadata_scheme: MetadataScheme) -> MetadataParser:
     match metadata_scheme:
diff --git a/modules/private_logger.py b/modules/private_logger.py
index eb8f0cc5..6fdb680c 100644
--- a/modules/private_logger.py
+++ b/modules/private_logger.py
@@ -27,7 +27,7 @@ def log(img, metadata, metadata_parser: MetadataParser | None = None, output_for
     date_string, local_temp_filename, only_name = generate_temp_filename(folder=path_outputs, extension=output_format)
     os.makedirs(os.path.dirname(local_temp_filename), exist_ok=True)
 
-    parsed_parameters = metadata_parser.parse_string(metadata.copy()) if metadata_parser is not None else ''
+    parsed_parameters = metadata_parser.to_string(metadata.copy()) if metadata_parser is not None else ''
     image = Image.fromarray(img)
 
     if output_format == OutputFormat.PNG.value:
diff --git a/modules/util.py b/modules/util.py
index 8317dd50..5003f79a 100644
--- a/modules/util.py
+++ b/modules/util.py
@@ -16,6 +16,7 @@ from PIL import Image
 
 import modules.config
 import modules.sdxl_styles
+from modules.flags import Performance
 
 LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
 
@@ -381,9 +382,6 @@ def get_file_from_folder_list(name, folders):
 
     return os.path.abspath(os.path.realpath(os.path.join(folders[0], name)))
 
-def ordinal_suffix(number: int) -> str:
-    return 'th' if 10 <= number % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(number % 10, 'th')
-
 
 def makedirs_with_log(path):
     try:
@@ -397,10 +395,15 @@ def get_enabled_loras(loras: list, remove_none=True) -> list:
 
 
 def parse_lora_references_from_prompt(prompt: str, loras: List[Tuple[AnyStr, float]], loras_limit: int = 5,
-                                      skip_file_check=False, prompt_cleanup=True, deduplicate_loras=True) -> tuple[List[Tuple[AnyStr, float]], str]:
+                                      skip_file_check=False, prompt_cleanup=True, deduplicate_loras=True,
+                                      lora_filenames=None) -> tuple[List[Tuple[AnyStr, float]], str]:
+    if lora_filenames is None:
+        lora_filenames = []
+
     found_loras = []
     prompt_without_loras = ''
     cleaned_prompt = ''
+
     for token in prompt.split(','):
         matches = LORAS_PROMPT_PATTERN.findall(token)
 
@@ -410,7 +413,7 @@ def parse_lora_references_from_prompt(prompt: str, loras: List[Tuple[AnyStr, flo
         for match in matches:
             lora_name = match[1] + '.safetensors'
             if not skip_file_check:
-                lora_name = get_filname_by_stem(match[1], modules.config.lora_filenames_no_special)
+                lora_name = get_filname_by_stem(match[1], lora_filenames)
             if lora_name is not None:
                 found_loras.append((lora_name, float(match[2])))
             token = token.replace(match[0], '')
@@ -440,6 +443,22 @@ def parse_lora_references_from_prompt(prompt: str, loras: List[Tuple[AnyStr, flo
     return updated_loras[:loras_limit], cleaned_prompt
 
 
+def remove_performance_lora(filenames: list, performance: Performance | None):
+    loras_without_performance = filenames.copy()
+
+    if performance is None:
+        return loras_without_performance
+
+    performance_lora = performance.lora_filename()
+
+    for filename in filenames:
+        path = Path(filename)
+        if performance_lora == path.name:
+            loras_without_performance.remove(filename)
+
+    return loras_without_performance
+
+
 def cleanup_prompt(prompt):
     prompt = re.sub(' +', ' ', prompt)
     prompt = re.sub(',+', ',', prompt)
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 6fd550db..c1f49c13 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,5 +1,7 @@
+import os
 import unittest
 
+import modules.flags
 from modules import util
 
 
@@ -77,5 +79,59 @@ class TestUtils(unittest.TestCase):
         for test in test_cases:
             prompt, loras, loras_limit, skip_file_check = test["input"]
             expected = test["output"]
-            actual = util.parse_lora_references_from_prompt(prompt, loras, loras_limit=loras_limit, skip_file_check=skip_file_check)
+            actual = util.parse_lora_references_from_prompt(prompt, loras, loras_limit=loras_limit,
+                                                            skip_file_check=skip_file_check)
+            self.assertEqual(expected, actual)
+
+    def test_can_parse_tokens_and_strip_performance_lora(self):
+        lora_filenames = [
+            'hey-lora.safetensors',
+            modules.flags.PerformanceLoRA.EXTREME_SPEED.value,
+            modules.flags.PerformanceLoRA.LIGHTNING.value,
+            os.path.join('subfolder', modules.flags.PerformanceLoRA.HYPER_SD.value)
+        ]
+
+        test_cases = [
+            {
+                "input": ("some prompt, <lora:hey-lora:0.4>", [], 5, True, modules.flags.Performance.QUALITY),
+                "output": (
+                    [('hey-lora.safetensors', 0.4)],
+                    'some prompt'
+                ),
+            },
+            {
+                "input": ("some prompt, <lora:hey-lora:0.4>", [], 5, True, modules.flags.Performance.SPEED),
+                "output": (
+                    [('hey-lora.safetensors', 0.4)],
+                    'some prompt'
+                ),
+            },
+            {
+                "input": ("some prompt, <lora:sdxl_lcm_lora:1>, <lora:hey-lora:0.4>", [], 5, True, modules.flags.Performance.EXTREME_SPEED),
+                "output": (
+                    [('hey-lora.safetensors', 0.4)],
+                    'some prompt'
+                ),
+            },
+            {
+                "input": ("some prompt, <lora:sdxl_lightning_4step_lora:1>, <lora:hey-lora:0.4>", [], 5, True, modules.flags.Performance.LIGHTNING),
+                "output": (
+                    [('hey-lora.safetensors', 0.4)],
+                    'some prompt'
+                ),
+            },
+            {
+                "input": ("some prompt, <lora:sdxl_hyper_sd_4step_lora:1>, <lora:hey-lora:0.4>", [], 5, True, modules.flags.Performance.HYPER_SD),
+                "output": (
+                    [('hey-lora.safetensors', 0.4)],
+                    'some prompt'
+                ),
+            }
+        ]
+
+        for test in test_cases:
+            prompt, loras, loras_limit, skip_file_check, performance = test["input"]
+            lora_filenames = modules.util.remove_performance_lora(lora_filenames, performance)
+            expected = test["output"]
+            actual = util.parse_lora_references_from_prompt(prompt, loras, loras_limit=loras_limit, lora_filenames=lora_filenames)
             self.assertEqual(expected, actual)
diff --git a/webui.py b/webui.py
index 0dd86350..6f08757d 100644
--- a/webui.py
+++ b/webui.py
@@ -461,8 +461,8 @@ with shared.gradio_root:
                                                       interactive=not modules.config.default_black_out_nsfw,
                                                       info='Disable preview during generation.')
                         disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results', 
-                                                      value=modules.config.default_performance == flags.Performance.EXTREME_SPEED.value,
-                                                      interactive=modules.config.default_performance != flags.Performance.EXTREME_SPEED.value,
+                                                      value=flags.Performance.has_restricted_features(modules.config.default_performance),
+                                                      interactive=not flags.Performance.has_restricted_features(modules.config.default_performance),
                                                       info='Disable intermediate results during generation, only show final gallery.')
                         disable_seed_increment = gr.Checkbox(label='Disable seed increment',
                                                              info='Disable automatic seed increment when image number is > 1.',
@@ -713,7 +713,7 @@ with shared.gradio_root:
                 parsed_parameters = {}
             else:
                 metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
-                parsed_parameters = metadata_parser.parse_json(parameters)
+                parsed_parameters = metadata_parser.to_json(parameters)
 
             return modules.meta_parser.load_parameter_button_click(parsed_parameters, state_is_generating)
 

From 64c29a8c4340bb11c1104c8d1088d9a91bbd0da9 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 30 May 2024 16:17:36 +0200
Subject: [PATCH 165/180] feat: rework intermediate image display for
 restricted performances (#3050)

disable intermediate results for all performacnes with restricted features

make disable_intermediate_results interactive again even if performance has restricted features
users who want to disable this option should be able to do so, even if performance will be impacted
---
 webui.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/webui.py b/webui.py
index 6f08757d..fe33560b 100644
--- a/webui.py
+++ b/webui.py
@@ -460,9 +460,8 @@ with shared.gradio_root:
                         disable_preview = gr.Checkbox(label='Disable Preview', value=modules.config.default_black_out_nsfw,
                                                       interactive=not modules.config.default_black_out_nsfw,
                                                       info='Disable preview during generation.')
-                        disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results', 
+                        disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results',
                                                       value=flags.Performance.has_restricted_features(modules.config.default_performance),
-                                                      interactive=not flags.Performance.has_restricted_features(modules.config.default_performance),
                                                       info='Disable intermediate results during generation, only show final gallery.')
                         disable_seed_increment = gr.Checkbox(label='Disable seed increment',
                                                              info='Disable automatic seed increment when image number is > 1.',
@@ -616,7 +615,7 @@ with shared.gradio_root:
 
         performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
                                                [gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +
-                                               [gr.update(interactive=not flags.Performance.has_restricted_features(x), value=flags.Performance.has_restricted_features(x))] * 1,
+                                               [gr.update(value=flags.Performance.has_restricted_features(x))] * 1,
                                      inputs=performance_selection,
                                      outputs=[
                                          guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive,

From 7899261755c0a350987b3e983b56fe609e33684f Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Fri, 31 May 2024 22:24:19 +0200
Subject: [PATCH 166/180] fix: turbo scheduler loading issue (#3065)

* fix: correctly load ModelPatcher

* feat: do not load model at all, not needed
---
 ldm_patched/contrib/external_custom_sampler.py | 3 +--
 modules/sample_hijack.py                       | 2 +-
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/ldm_patched/contrib/external_custom_sampler.py b/ldm_patched/contrib/external_custom_sampler.py
index 985b03a0..60d5e3bd 100644
--- a/ldm_patched/contrib/external_custom_sampler.py
+++ b/ldm_patched/contrib/external_custom_sampler.py
@@ -107,8 +107,7 @@ class SDTurboScheduler:
     def get_sigmas(self, model, steps, denoise):
         start_step = 10 - int(10 * denoise)
         timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[start_step:start_step + steps]
-        ldm_patched.modules.model_management.load_models_gpu([model])
-        sigmas = model.model.model_sampling.sigma(timesteps)
+        sigmas = model.model_sampling.sigma(timesteps)
         sigmas = torch.cat([sigmas, sigmas.new_zeros([1])])
         return (sigmas, )
 
diff --git a/modules/sample_hijack.py b/modules/sample_hijack.py
index 4ab3cbbd..84752ede 100644
--- a/modules/sample_hijack.py
+++ b/modules/sample_hijack.py
@@ -175,7 +175,7 @@ def calculate_sigmas_scheduler_hacked(model, scheduler_name, steps):
     elif scheduler_name == "sgm_uniform":
         sigmas = normal_scheduler(model, steps, sgm=True)
     elif scheduler_name == "turbo":
-        sigmas = SDTurboScheduler().get_sigmas(namedtuple('Patcher', ['model'])(model=model), steps=steps, denoise=1.0)[0]
+        sigmas = SDTurboScheduler().get_sigmas(model=model, steps=steps, denoise=1.0)[0]
     elif scheduler_name == "align_your_steps":
         model_type = 'SDXL' if isinstance(model.latent_format, ldm_patched.modules.latent_formats.SDXL) else 'SD1'
         sigmas = AlignYourStepsScheduler().get_sigmas(model_type=model_type, steps=steps, denoise=1.0)[0]

From 07c6c89edf34676da86310dc1749db8ce3d082af Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Fri, 31 May 2024 22:41:36 +0200
Subject: [PATCH 167/180] fix: chown files directly at copy (#3066)

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 1172c795..820ae94a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -23,7 +23,7 @@ RUN chown -R user:user /content
 WORKDIR /content
 USER user
 
-COPY . /content/app
+COPY --chown=user:user . /content/app
 RUN mv /content/app/models /content/app/models.org
 
 CMD [ "sh", "-c", "/content/entrypoint.sh ${CMDARGS}" ]

From 3d43976e8e057caf0df8ec9e7846935f80f25859 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 2 Jun 2024 02:13:16 +0200
Subject: [PATCH 168/180] feat: update cmd args (#3075)

---
 readme.md | 35 +++++++++++++++++++++++------------
 1 file changed, 23 insertions(+), 12 deletions(-)

diff --git a/readme.md b/readme.md
index 0ec06f19..e79b72aa 100644
--- a/readme.md
+++ b/readme.md
@@ -370,25 +370,36 @@ entry_with_update.py  [-h] [--listen [IP]] [--port PORT]
                       [--web-upload-size WEB_UPLOAD_SIZE]
                       [--hf-mirror HF_MIRROR]
                       [--external-working-path PATH [PATH ...]]
-                      [--output-path OUTPUT_PATH] [--temp-path TEMP_PATH]
+                      [--output-path OUTPUT_PATH]
+                      [--temp-path TEMP_PATH]
                       [--cache-path CACHE_PATH] [--in-browser]
-                      [--disable-in-browser] [--gpu-device-id DEVICE_ID]
+                      [--disable-in-browser]
+                      [--gpu-device-id DEVICE_ID]
                       [--async-cuda-allocation | --disable-async-cuda-allocation]
-                      [--disable-attention-upcast] [--all-in-fp32 | --all-in-fp16]
+                      [--disable-attention-upcast]
+                      [--all-in-fp32 | --all-in-fp16]
                       [--unet-in-bf16 | --unet-in-fp16 | --unet-in-fp8-e4m3fn | --unet-in-fp8-e5m2]
-                      [--vae-in-fp16 | --vae-in-fp32 | --vae-in-bf16]
+                      [--vae-in-fp16 | --vae-in-fp32 | --vae-in-bf16]   
+                      [--vae-in-cpu]
                       [--clip-in-fp8-e4m3fn | --clip-in-fp8-e5m2 | --clip-in-fp16 | --clip-in-fp32]
-                      [--directml [DIRECTML_DEVICE]] [--disable-ipex-hijack]
+                      [--directml [DIRECTML_DEVICE]]
+                      [--disable-ipex-hijack]
                       [--preview-option [none,auto,fast,taesd]]
                       [--attention-split | --attention-quad | --attention-pytorch]
                       [--disable-xformers]
-                      [--always-gpu | --always-high-vram | --always-normal-vram | 
-                       --always-low-vram | --always-no-vram | --always-cpu [CPU_NUM_THREADS]]
-                      [--always-offload-from-vram] [--disable-server-log]
-                      [--debug-mode] [--is-windows-embedded-python]
-                      [--disable-server-info] [--share] [--preset PRESET]
-                      [--language LANGUAGE] [--disable-offload-from-vram]
-                      [--theme THEME] [--disable-image-log]
+                      [--always-gpu | --always-high-vram | --always-normal-vram |
+                      --always-low-vram | --always-no-vram | --always-cpu [CPU_NUM_THREADS]]
+                      [--always-offload-from-vram]
+                      [--pytorch-deterministic] [--disable-server-log]  
+                      [--debug-mode] [--is-windows-embedded-python]     
+                      [--disable-server-info] [--multi-user] [--share]  
+                      [--preset PRESET] [--disable-preset-selection]    
+                      [--language LANGUAGE]
+                      [--disable-offload-from-vram] [--theme THEME]     
+                      [--disable-image-log] [--disable-analytics]       
+                      [--disable-metadata] [--disable-preset-download]  
+                      [--enable-describe-uov-image]
+                      [--always-download-new-model]
 ```
 
 ## Advanced Features

From ab01104d42d8f68abb9f88e79ecc600acdb02f3b Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 2 Jun 2024 13:40:42 +0200
Subject: [PATCH 169/180] feat: make textboxes (incl. positive prompt)
 resizable (#3074)

* feat: make textboxes (incl. positive prompt) resizable again

* wip: auto-resize positive prompt on new line

dirty approach as container is hidden and 1px padding is applied for border shadow to actually work

* feat: set row height to 84, exactly matching 3 lines for positive prompt

eliminate need for JS to resize positive prompt onUiLoaded
---
 css/style.css | 24 ++++++++++++++----------
 webui.py      |  4 ++--
 2 files changed, 16 insertions(+), 12 deletions(-)

diff --git a/css/style.css b/css/style.css
index 18bacaaf..6ed0f628 100644
--- a/css/style.css
+++ b/css/style.css
@@ -74,31 +74,35 @@ progress::after {
     text-align: right;
     width: 215px;
 }
-
-.type_row{
-  height: 80px !important;
+div:has(> #positive_prompt) {
+    border: none;
 }
 
-.type_row_half{
-  height: 32px !important;
+#positive_prompt {
+    padding: 1px;
+    background: var(--background-fill-primary);
 }
 
-.scroll-hide{
-  resize: none !important;
+.type_row {
+  height: 84px !important;
 }
 
-.refresh_button{
+.type_row_half {
+  height: 34px !important;
+}
+
+.refresh_button {
   border: none !important;
   background: none !important;
   font-size: none !important;
   box-shadow: none !important;
 }
 
-.advanced_check_row{
+.advanced_check_row {
   width: 250px !important;
 }
 
-.min_check{
+.min_check {
   min-width: min(1px, 100%) !important;
 }
 
diff --git a/webui.py b/webui.py
index 0dd86350..63ff6813 100644
--- a/webui.py
+++ b/webui.py
@@ -112,10 +112,10 @@ with shared.gradio_root:
             gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', visible=True, height=768,
                                  elem_classes=['resizable_area', 'main_view', 'final_gallery', 'image_gallery'],
                                  elem_id='final_gallery')
-            with gr.Row(elem_classes='type_row'):
+            with gr.Row():
                 with gr.Column(scale=17):
                     prompt = gr.Textbox(show_label=False, placeholder="Type prompt here or paste parameters.", elem_id='positive_prompt',
-                                        container=False, autofocus=True, elem_classes='type_row', lines=1024)
+                                        autofocus=True, lines=3)
 
                     default_prompt = modules.config.default_prompt
                     if isinstance(default_prompt, str) and default_prompt != '':

From 2d55a5f257b04c783d89c0cd5e4cb9180e9e8c9b Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 4 Jun 2024 20:15:49 +0200
Subject: [PATCH 170/180] feat: add support for playground v2.5 (#3073)

* feat: add support for playground v2.5

* feat: add preset for playground v2.5

* feat: change URL to mashb1t

* feat: optimize playground v2.5 preset
---
 args_manager.py                               |  3 -
 .../contrib/external_model_advanced.py        | 12 ++-
 ldm_patched/modules/latent_formats.py         | 65 +++++++++++++
 ldm_patched/modules/model_sampling.py         | 93 ++++++++++++++++---
 ldm_patched/modules/samplers.py               |  2 +-
 modules/async_worker.py                       | 27 +++++-
 modules/core.py                               |  4 +-
 modules/flags.py                              |  3 +-
 modules/patch_precision.py                    |  2 -
 presets/.gitignore                            |  1 +
 presets/playground_v2.5.json                  | 51 ++++++++++
 11 files changed, 233 insertions(+), 30 deletions(-)
 create mode 100644 presets/playground_v2.5.json

diff --git a/args_manager.py b/args_manager.py
index e023da27..5a2b37c9 100644
--- a/args_manager.py
+++ b/args_manager.py
@@ -1,7 +1,4 @@
 import ldm_patched.modules.args_parser as args_parser
-import os
-
-from tempfile import gettempdir
 
 args_parser.parser.add_argument("--share", action='store_true', help="Set whether to share on Gradio.")
 
diff --git a/ldm_patched/contrib/external_model_advanced.py b/ldm_patched/contrib/external_model_advanced.py
index 9b52c36b..b9f0ebdc 100644
--- a/ldm_patched/contrib/external_model_advanced.py
+++ b/ldm_patched/contrib/external_model_advanced.py
@@ -108,7 +108,7 @@ class ModelSamplingContinuousEDM:
     @classmethod
     def INPUT_TYPES(s):
         return {"required": { "model": ("MODEL",),
-                              "sampling": (["v_prediction", "eps"],),
+                              "sampling": (["v_prediction", "edm_playground_v2.5", "eps"],),
                               "sigma_max": ("FLOAT", {"default": 120.0, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
                               "sigma_min": ("FLOAT", {"default": 0.002, "min": 0.0, "max": 1000.0, "step":0.001, "round": False}),
                               }}
@@ -121,17 +121,25 @@ class ModelSamplingContinuousEDM:
     def patch(self, model, sampling, sigma_max, sigma_min):
         m = model.clone()
 
+        latent_format = None
+        sigma_data = 1.0
         if sampling == "eps":
             sampling_type = ldm_patched.modules.model_sampling.EPS
         elif sampling == "v_prediction":
             sampling_type = ldm_patched.modules.model_sampling.V_PREDICTION
+        elif sampling == "edm_playground_v2.5":
+            sampling_type = ldm_patched.modules.model_sampling.EDM
+            sigma_data = 0.5
+            latent_format = ldm_patched.modules.latent_formats.SDXL_Playground_2_5()
 
         class ModelSamplingAdvanced(ldm_patched.modules.model_sampling.ModelSamplingContinuousEDM, sampling_type):
             pass
 
         model_sampling = ModelSamplingAdvanced(model.model.model_config)
-        model_sampling.set_sigma_range(sigma_min, sigma_max)
+        model_sampling.set_parameters(sigma_min, sigma_max, sigma_data)
         m.add_object_patch("model_sampling", model_sampling)
+        if latent_format is not None:
+            m.add_object_patch("latent_format", latent_format)
         return (m, )
 
 class RescaleCFG:
diff --git a/ldm_patched/modules/latent_formats.py b/ldm_patched/modules/latent_formats.py
index 2252a075..1606793e 100644
--- a/ldm_patched/modules/latent_formats.py
+++ b/ldm_patched/modules/latent_formats.py
@@ -1,3 +1,4 @@
+import torch
 
 class LatentFormat:
     scale_factor = 1.0
@@ -34,6 +35,70 @@ class SDXL(LatentFormat):
                 ]
         self.taesd_decoder_name = "taesdxl_decoder"
 
+class SDXL_Playground_2_5(LatentFormat):
+    def __init__(self):
+        self.scale_factor = 0.5
+        self.latents_mean = torch.tensor([-1.6574, 1.886, -1.383, 2.5155]).view(1, 4, 1, 1)
+        self.latents_std = torch.tensor([8.4927, 5.9022, 6.5498, 5.2299]).view(1, 4, 1, 1)
+
+        self.latent_rgb_factors = [
+                    #   R        G        B
+                    [ 0.3920,  0.4054,  0.4549],
+                    [-0.2634, -0.0196,  0.0653],
+                    [ 0.0568,  0.1687, -0.0755],
+                    [-0.3112, -0.2359, -0.2076]
+                ]
+        self.taesd_decoder_name = "taesdxl_decoder"
+
+    def process_in(self, latent):
+        latents_mean = self.latents_mean.to(latent.device, latent.dtype)
+        latents_std = self.latents_std.to(latent.device, latent.dtype)
+        return (latent - latents_mean) * self.scale_factor / latents_std
+
+    def process_out(self, latent):
+        latents_mean = self.latents_mean.to(latent.device, latent.dtype)
+        latents_std = self.latents_std.to(latent.device, latent.dtype)
+        return latent * latents_std / self.scale_factor + latents_mean
+
+
 class SD_X4(LatentFormat):
     def __init__(self):
         self.scale_factor = 0.08333
+        self.latent_rgb_factors = [
+            [-0.2340, -0.3863, -0.3257],
+            [ 0.0994,  0.0885, -0.0908],
+            [-0.2833, -0.2349, -0.3741],
+            [ 0.2523, -0.0055, -0.1651]
+        ]
+
+class SC_Prior(LatentFormat):
+    def __init__(self):
+        self.scale_factor = 1.0
+        self.latent_rgb_factors = [
+            [-0.0326, -0.0204, -0.0127],
+            [-0.1592, -0.0427,  0.0216],
+            [ 0.0873,  0.0638, -0.0020],
+            [-0.0602,  0.0442,  0.1304],
+            [ 0.0800, -0.0313, -0.1796],
+            [-0.0810, -0.0638, -0.1581],
+            [ 0.1791,  0.1180,  0.0967],
+            [ 0.0740,  0.1416,  0.0432],
+            [-0.1745, -0.1888, -0.1373],
+            [ 0.2412,  0.1577,  0.0928],
+            [ 0.1908,  0.0998,  0.0682],
+            [ 0.0209,  0.0365, -0.0092],
+            [ 0.0448, -0.0650, -0.1728],
+            [-0.1658, -0.1045, -0.1308],
+            [ 0.0542,  0.1545,  0.1325],
+            [-0.0352, -0.1672, -0.2541]
+        ]
+
+class SC_B(LatentFormat):
+    def __init__(self):
+        self.scale_factor = 1.0 / 0.43
+        self.latent_rgb_factors = [
+            [ 0.1121,  0.2006,  0.1023],
+            [-0.2093, -0.0222, -0.0195],
+            [-0.3087, -0.1535,  0.0366],
+            [ 0.0290, -0.1574, -0.4078]
+        ]
\ No newline at end of file
diff --git a/ldm_patched/modules/model_sampling.py b/ldm_patched/modules/model_sampling.py
index 57f51a00..bd8cb18c 100644
--- a/ldm_patched/modules/model_sampling.py
+++ b/ldm_patched/modules/model_sampling.py
@@ -1,5 +1,4 @@
 import torch
-import numpy as np
 from ldm_patched.ldm.modules.diffusionmodules.util import make_beta_schedule
 import math
 
@@ -12,12 +11,28 @@ class EPS:
         sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
         return model_input - model_output * sigma
 
+    def noise_scaling(self, sigma, noise, latent_image, max_denoise=False):
+        if max_denoise:
+            noise = noise * torch.sqrt(1.0 + sigma ** 2.0)
+        else:
+            noise = noise * sigma
+
+        noise += latent_image
+        return noise
+
+    def inverse_noise_scaling(self, sigma, latent):
+        return latent
 
 class V_PREDICTION(EPS):
     def calculate_denoised(self, sigma, model_output, model_input):
         sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
         return model_input * self.sigma_data ** 2 / (sigma ** 2 + self.sigma_data ** 2) - model_output * sigma * self.sigma_data / (sigma ** 2 + self.sigma_data ** 2) ** 0.5
 
+class EDM(V_PREDICTION):
+    def calculate_denoised(self, sigma, model_output, model_input):
+        sigma = sigma.view(sigma.shape[:1] + (1,) * (model_output.ndim - 1))
+        return model_input * self.sigma_data ** 2 / (sigma ** 2 + self.sigma_data ** 2) + model_output * sigma * self.sigma_data / (sigma ** 2 + self.sigma_data ** 2) ** 0.5
+
 
 class ModelSamplingDiscrete(torch.nn.Module):
     def __init__(self, model_config=None):
@@ -42,24 +57,23 @@ class ModelSamplingDiscrete(torch.nn.Module):
         else:
             betas = make_beta_schedule(beta_schedule, timesteps, linear_start=linear_start, linear_end=linear_end, cosine_s=cosine_s)
         alphas = 1. - betas
-        alphas_cumprod = torch.tensor(np.cumprod(alphas, axis=0), dtype=torch.float32)
-        # alphas_cumprod_prev = np.append(1., alphas_cumprod[:-1])
+        alphas_cumprod = torch.cumprod(alphas, dim=0)
 
         timesteps, = betas.shape
         self.num_timesteps = int(timesteps)
         self.linear_start = linear_start
         self.linear_end = linear_end
 
+        # self.register_buffer('betas', torch.tensor(betas, dtype=torch.float32))
+        # self.register_buffer('alphas_cumprod', torch.tensor(alphas_cumprod, dtype=torch.float32))
+        # self.register_buffer('alphas_cumprod_prev', torch.tensor(alphas_cumprod_prev, dtype=torch.float32))
+
         sigmas = ((1 - alphas_cumprod) / alphas_cumprod) ** 0.5
         self.set_sigmas(sigmas)
-        self.set_alphas_cumprod(alphas_cumprod.float())
 
     def set_sigmas(self, sigmas):
-        self.register_buffer('sigmas', sigmas)
-        self.register_buffer('log_sigmas', sigmas.log())
-
-    def set_alphas_cumprod(self, alphas_cumprod):
-        self.register_buffer("alphas_cumprod", alphas_cumprod.float())
+        self.register_buffer('sigmas', sigmas.float())
+        self.register_buffer('log_sigmas', sigmas.log().float())
 
     @property
     def sigma_min(self):
@@ -94,8 +108,6 @@ class ModelSamplingDiscrete(torch.nn.Module):
 class ModelSamplingContinuousEDM(torch.nn.Module):
     def __init__(self, model_config=None):
         super().__init__()
-        self.sigma_data = 1.0
-
         if model_config is not None:
             sampling_settings = model_config.sampling_settings
         else:
@@ -103,9 +115,11 @@ class ModelSamplingContinuousEDM(torch.nn.Module):
 
         sigma_min = sampling_settings.get("sigma_min", 0.002)
         sigma_max = sampling_settings.get("sigma_max", 120.0)
-        self.set_sigma_range(sigma_min, sigma_max)
+        sigma_data = sampling_settings.get("sigma_data", 1.0)
+        self.set_parameters(sigma_min, sigma_max, sigma_data)
 
-    def set_sigma_range(self, sigma_min, sigma_max):
+    def set_parameters(self, sigma_min, sigma_max, sigma_data):
+        self.sigma_data = sigma_data
         sigmas = torch.linspace(math.log(sigma_min), math.log(sigma_max), 1000).exp()
 
         self.register_buffer('sigmas', sigmas) #for compatibility with some schedulers
@@ -134,3 +148,56 @@ class ModelSamplingContinuousEDM(torch.nn.Module):
 
         log_sigma_min = math.log(self.sigma_min)
         return math.exp((math.log(self.sigma_max) - log_sigma_min) * percent + log_sigma_min)
+
+class StableCascadeSampling(ModelSamplingDiscrete):
+    def __init__(self, model_config=None):
+        super().__init__()
+
+        if model_config is not None:
+            sampling_settings = model_config.sampling_settings
+        else:
+            sampling_settings = {}
+
+        self.set_parameters(sampling_settings.get("shift", 1.0))
+
+    def set_parameters(self, shift=1.0, cosine_s=8e-3):
+        self.shift = shift
+        self.cosine_s = torch.tensor(cosine_s)
+        self._init_alpha_cumprod = torch.cos(self.cosine_s / (1 + self.cosine_s) * torch.pi * 0.5) ** 2
+
+        #This part is just for compatibility with some schedulers in the codebase
+        self.num_timesteps = 10000
+        sigmas = torch.empty((self.num_timesteps), dtype=torch.float32)
+        for x in range(self.num_timesteps):
+            t = (x + 1) / self.num_timesteps
+            sigmas[x] = self.sigma(t)
+
+        self.set_sigmas(sigmas)
+
+    def sigma(self, timestep):
+        alpha_cumprod = (torch.cos((timestep + self.cosine_s) / (1 + self.cosine_s) * torch.pi * 0.5) ** 2 / self._init_alpha_cumprod)
+
+        if self.shift != 1.0:
+            var = alpha_cumprod
+            logSNR = (var/(1-var)).log()
+            logSNR += 2 * torch.log(1.0 / torch.tensor(self.shift))
+            alpha_cumprod = logSNR.sigmoid()
+
+        alpha_cumprod = alpha_cumprod.clamp(0.0001, 0.9999)
+        return ((1 - alpha_cumprod) / alpha_cumprod) ** 0.5
+
+    def timestep(self, sigma):
+        var = 1 / ((sigma * sigma) + 1)
+        var = var.clamp(0, 1.0)
+        s, min_var = self.cosine_s.to(var.device), self._init_alpha_cumprod.to(var.device)
+        t = (((var * min_var) ** 0.5).acos() / (torch.pi * 0.5)) * (1 + s) - s
+        return t
+
+    def percent_to_sigma(self, percent):
+        if percent <= 0.0:
+            return 999999999.9
+        if percent >= 1.0:
+            return 0.0
+
+        percent = 1.0 - percent
+        return self.sigma(torch.tensor(percent))
\ No newline at end of file
diff --git a/ldm_patched/modules/samplers.py b/ldm_patched/modules/samplers.py
index 35cb3d73..9ed1fcd2 100644
--- a/ldm_patched/modules/samplers.py
+++ b/ldm_patched/modules/samplers.py
@@ -523,7 +523,7 @@ class UNIPCBH2(Sampler):
 
 KSAMPLER_NAMES = ["euler", "euler_ancestral", "heun", "heunpp2","dpm_2", "dpm_2_ancestral",
                   "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu",
-                  "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "tcd"]
+                  "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "tcd", "edm_playground_v2.5"]
 
 class KSAMPLER(Sampler):
     def __init__(self, sampler_function, extra_options={}, inpaint_options={}):
diff --git a/modules/async_worker.py b/modules/async_worker.py
index 9c16d6fc..76e10f92 100644
--- a/modules/async_worker.py
+++ b/modules/async_worker.py
@@ -828,16 +828,33 @@ def worker():
 
         if scheduler_name in ['lcm', 'tcd']:
             final_scheduler_name = 'sgm_uniform'
-            if pipeline.final_unet is not None:
-                pipeline.final_unet = core.opModelSamplingDiscrete.patch(
+
+            def patch_discrete(unet):
+                return core.opModelSamplingDiscrete.patch(
                     pipeline.final_unet,
                     sampling=scheduler_name,
                     zsnr=False)[0]
+
+            if pipeline.final_unet is not None:
+                pipeline.final_unet = patch_discrete(pipeline.final_unet)
             if pipeline.final_refiner_unet is not None:
-                pipeline.final_refiner_unet = core.opModelSamplingDiscrete.patch(
-                    pipeline.final_refiner_unet,
+                pipeline.final_refiner_unet = patch_discrete(pipeline.final_refiner_unet)
+            print(f'Using {scheduler_name} scheduler.')
+        elif scheduler_name == 'edm_playground_v2.5':
+            final_scheduler_name = 'karras'
+
+            def patch_edm(unet):
+                return core.opModelSamplingContinuousEDM.patch(
+                    unet,
                     sampling=scheduler_name,
-                    zsnr=False)[0]
+                    sigma_max=120.0,
+                    sigma_min=0.002)[0]
+
+            if pipeline.final_unet is not None:
+                pipeline.final_unet = patch_edm(pipeline.final_unet)
+            if pipeline.final_refiner_unet is not None:
+                pipeline.final_refiner_unet = patch_edm(pipeline.final_refiner_unet)
+
             print(f'Using {scheduler_name} scheduler.')
 
         async_task.yields.append(['preview', (flags.preparation_step_count, 'Moving model to GPU ...', None)])
diff --git a/modules/core.py b/modules/core.py
index 3ca4cc5b..78c89759 100644
--- a/modules/core.py
+++ b/modules/core.py
@@ -21,8 +21,7 @@ from modules.lora import match_lora
 from modules.util import get_file_from_folder_list
 from ldm_patched.modules.lora import model_lora_keys_unet, model_lora_keys_clip
 from modules.config import path_embeddings
-from ldm_patched.contrib.external_model_advanced import ModelSamplingDiscrete
-
+from ldm_patched.contrib.external_model_advanced import ModelSamplingDiscrete, ModelSamplingContinuousEDM
 
 opEmptyLatentImage = EmptyLatentImage()
 opVAEDecode = VAEDecode()
@@ -32,6 +31,7 @@ opVAEEncodeTiled = VAEEncodeTiled()
 opControlNetApplyAdvanced = ControlNetApplyAdvanced()
 opFreeU = FreeU_V2()
 opModelSamplingDiscrete = ModelSamplingDiscrete()
+opModelSamplingContinuousEDM = ModelSamplingContinuousEDM()
 
 
 class StableDiffusionModel:
diff --git a/modules/flags.py b/modules/flags.py
index 25b0caae..adaea1d1 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -48,8 +48,7 @@ SAMPLERS = KSAMPLER | SAMPLER_EXTRA
 
 KSAMPLER_NAMES = list(KSAMPLER.keys())
 
-SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo",
-                   "align_your_steps", "tcd"]
+SCHEDULER_NAMES = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform", "lcm", "turbo", "align_your_steps", "tcd", "edm_playground_v2.5"]
 SAMPLER_NAMES = KSAMPLER_NAMES + list(SAMPLER_EXTRA.keys())
 
 sampler_list = SAMPLER_NAMES
diff --git a/modules/patch_precision.py b/modules/patch_precision.py
index 22ffda0a..83569bdd 100644
--- a/modules/patch_precision.py
+++ b/modules/patch_precision.py
@@ -51,8 +51,6 @@ def patched_register_schedule(self, given_betas=None, beta_schedule="linear", ti
     self.linear_end = linear_end
     sigmas = torch.tensor(((1 - alphas_cumprod) / alphas_cumprod) ** 0.5, dtype=torch.float32)
     self.set_sigmas(sigmas)
-    alphas_cumprod = torch.tensor(alphas_cumprod, dtype=torch.float32)
-    self.set_alphas_cumprod(alphas_cumprod)
     return
 
 
diff --git a/presets/.gitignore b/presets/.gitignore
index 481930c5..27e74136 100644
--- a/presets/.gitignore
+++ b/presets/.gitignore
@@ -2,5 +2,6 @@
 !anime.json
 !default.json
 !lcm.json
+!playground_v2.5.json
 !realistic.json
 !sai.json
\ No newline at end of file
diff --git a/presets/playground_v2.5.json b/presets/playground_v2.5.json
new file mode 100644
index 00000000..311bbc1d
--- /dev/null
+++ b/presets/playground_v2.5.json
@@ -0,0 +1,51 @@
+{
+    "default_model": "playground-v2.5-1024px-aesthetic.fp16.safetensors",
+    "default_refiner": "None",
+    "default_refiner_switch": 0.5,
+    "default_loras": [
+        [
+            true,
+            "None",
+            1.0
+        ],
+        [
+            true,
+            "None",
+            1.0
+        ],
+        [
+            true,
+            "None",
+            1.0
+        ],
+        [
+            true,
+            "None",
+            1.0
+        ],
+        [
+            true,
+            "None",
+            1.0
+        ]
+    ],
+    "default_cfg_scale": 3,
+    "default_sample_sharpness": 2.0,
+    "default_sampler": "dpmpp_2m",
+    "default_scheduler": "edm_playground_v2.5",
+    "default_performance": "Speed",
+    "default_prompt": "",
+    "default_prompt_negative": "",
+    "default_styles": [
+        "Fooocus V2",
+        "Fooocus Enhance",
+        "Fooocus Sharp"
+    ],
+    "default_aspect_ratio": "1024*1024",
+    "checkpoint_downloads": {
+        "playground-v2.5-1024px-aesthetic.fp16.safetensors": "https://huggingface.co/mashb1t/fav_models/resolve/main/fav/playground-v2.5-1024px-aesthetic.fp16.safetensors"
+    },
+    "embeddings_downloads": {},
+    "lora_downloads": {},
+    "previous_default_models": []
+}
\ No newline at end of file

From b58bc7774e0d9f858ba52cd06b597f9f31db3793 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 4 Jun 2024 21:03:37 +0200
Subject: [PATCH 171/180] fix: correct sampling when gamma is 0 (#3093)

---
 ldm_patched/k_diffusion/sampling.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/ldm_patched/k_diffusion/sampling.py b/ldm_patched/k_diffusion/sampling.py
index d1bc1e4b..ea5540a4 100644
--- a/ldm_patched/k_diffusion/sampling.py
+++ b/ldm_patched/k_diffusion/sampling.py
@@ -832,5 +832,7 @@ def sample_tcd(model, x, sigmas, extra_args=None, callback=None, disable=None, n
         if eta > 0 and sigmas[i + 1] > 0:
             noise = noise_sampler(sigmas[i], sigmas[i + 1])
             x = x / alpha_prod_s[i+1].sqrt() + noise * (sigmas[i+1]**2 + 1 - 1/alpha_prod_s[i+1]).sqrt()
+        else:
+            x *= torch.sqrt(1.0 + sigmas[i + 1] ** 2)
 
     return x
\ No newline at end of file

From 85a8deeceea11269d4d1a599847b766bcc8c9616 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <dev@mash1t.de>
Date: Tue, 4 Jun 2024 23:35:10 +0200
Subject: [PATCH 172/180] release: bump version to 2.4.2, update changelog

---
 fooocus_version.py           | 2 +-
 presets/playground_v2.5.json | 2 +-
 update_log.md                | 9 +++++++++
 3 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index 75011458..4ddefe9a 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.4.1'
+version = '2.4.2'
diff --git a/presets/playground_v2.5.json b/presets/playground_v2.5.json
index 311bbc1d..fb9bd7f3 100644
--- a/presets/playground_v2.5.json
+++ b/presets/playground_v2.5.json
@@ -29,7 +29,7 @@
             1.0
         ]
     ],
-    "default_cfg_scale": 3,
+    "default_cfg_scale": 3.0,
     "default_sample_sharpness": 2.0,
     "default_sampler": "dpmpp_2m",
     "default_scheduler": "edm_playground_v2.5",
diff --git a/update_log.md b/update_log.md
index 733f077b..81d0718f 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,12 @@
+# [2.4.2](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.2)
+
+* Fix some small bugs (tcd scheduler when gamma is 0, chown in Dockerfile, update cmd args in readme, translation for aspect ratios, vae default after file reload)
+* Fix performance LoRA replacement when data is loaded from history log and inline prompt
+* Add support and preset for playground v2.5 (only works with performance Quality or Speed, use with scheduler edm_playground_v2)
+* Make textboxes (incl. positive prompt) resizable
+* Hide intermediate images when performance of Gradio would bottleneck the generation process (Extreme Speed, Lightning, Hyper-SD)
+
+
 # [2.4.1](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.1)
 
 * Fix some small bugs (e.g. adjust clip skip default value from 1 to 2, add type check to aspect ratios js update function)

From 04d764820e5cc526092e1aee36b4e78182c42d54 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 6 Jun 2024 13:42:26 +0200
Subject: [PATCH 173/180] fix: correctly set alphas_cumprod (#3106)

---
 ldm_patched/modules/model_sampling.py | 6 ++++++
 modules/patch_precision.py            | 2 ++
 2 files changed, 8 insertions(+)

diff --git a/ldm_patched/modules/model_sampling.py b/ldm_patched/modules/model_sampling.py
index bd8cb18c..8971b4e6 100644
--- a/ldm_patched/modules/model_sampling.py
+++ b/ldm_patched/modules/model_sampling.py
@@ -1,6 +1,7 @@
 import torch
 from ldm_patched.ldm.modules.diffusionmodules.util import make_beta_schedule
 import math
+import numpy as np
 
 class EPS:
     def calculate_input(self, sigma, noise):
@@ -69,12 +70,17 @@ class ModelSamplingDiscrete(torch.nn.Module):
         # self.register_buffer('alphas_cumprod_prev', torch.tensor(alphas_cumprod_prev, dtype=torch.float32))
 
         sigmas = ((1 - alphas_cumprod) / alphas_cumprod) ** 0.5
+        alphas_cumprod = torch.tensor(np.cumprod(alphas, axis=0), dtype=torch.float32)
         self.set_sigmas(sigmas)
+        self.set_alphas_cumprod(alphas_cumprod.float())
 
     def set_sigmas(self, sigmas):
         self.register_buffer('sigmas', sigmas.float())
         self.register_buffer('log_sigmas', sigmas.log().float())
 
+    def set_alphas_cumprod(self, alphas_cumprod):
+        self.register_buffer("alphas_cumprod", alphas_cumprod.float())
+
     @property
     def sigma_min(self):
         return self.sigmas[0]
diff --git a/modules/patch_precision.py b/modules/patch_precision.py
index 83569bdd..22ffda0a 100644
--- a/modules/patch_precision.py
+++ b/modules/patch_precision.py
@@ -51,6 +51,8 @@ def patched_register_schedule(self, given_betas=None, beta_schedule="linear", ti
     self.linear_end = linear_end
     sigmas = torch.tensor(((1 - alphas_cumprod) / alphas_cumprod) ** 0.5, dtype=torch.float32)
     self.set_sigmas(sigmas)
+    alphas_cumprod = torch.tensor(alphas_cumprod, dtype=torch.float32)
+    self.set_alphas_cumprod(alphas_cumprod)
     return
 
 

From 5abae220c5660ba82541f161f6bd9a4367be565a Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 6 Jun 2024 19:29:08 +0200
Subject: [PATCH 174/180] feat: parse env var strings to expected config value
 types (#3107)

* fix: add try_parse_bool for env var strings to enable config overrides of boolean values

* fix: fallback to given value if not parseable

* feat: extend eval to all valid types

* fix: remove return type

* fix: prevent strange type conversions by providing expected type

* feat: add tests
---
 modules/config.py         | 118 +++++++++++++++++++++++++-------------
 modules/extra_utils.py    |  15 +++++
 tests/test_extra_utils.py |  74 ++++++++++++++++++++++++
 3 files changed, 168 insertions(+), 39 deletions(-)
 create mode 100644 tests/test_extra_utils.py

diff --git a/modules/config.py b/modules/config.py
index 29a16d6d..e3c427d2 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -2,13 +2,14 @@ import os
 import json
 import math
 import numbers
+
 import args_manager
 import tempfile
 import modules.flags
 import modules.sdxl_styles
 
 from modules.model_loader import load_file_from_url
-from modules.extra_utils import makedirs_with_log, get_files_from_folder
+from modules.extra_utils import makedirs_with_log, get_files_from_folder, try_eval_env_var
 from modules.flags import OutputFormat, Performance, MetadataScheme
 
 
@@ -200,7 +201,7 @@ path_safety_checker = get_dir_or_set_default('path_safety_checker', '../models/s
 path_outputs = get_path_output()
 
 
-def get_config_item_or_set_default(key, default_value, validator, disable_empty_as_none=False):
+def get_config_item_or_set_default(key, default_value, validator, disable_empty_as_none=False, expected_type=None):
     global config_dict, visited_keys
 
     if key not in visited_keys:
@@ -208,6 +209,7 @@ def get_config_item_or_set_default(key, default_value, validator, disable_empty_
     
     v = os.getenv(key)
     if v is not None:
+        v = try_eval_env_var(v, expected_type)
         print(f"Environment: {key} = {v}")
         config_dict[key] = v
 
@@ -252,41 +254,49 @@ temp_path = init_temp_path(get_config_item_or_set_default(
     key='temp_path',
     default_value=default_temp_path,
     validator=lambda x: isinstance(x, str),
+    expected_type=str
 ), default_temp_path)
 temp_path_cleanup_on_launch = get_config_item_or_set_default(
     key='temp_path_cleanup_on_launch',
     default_value=True,
-    validator=lambda x: isinstance(x, bool)
+    validator=lambda x: isinstance(x, bool),
+    expected_type=bool
 )
 default_base_model_name = default_model = get_config_item_or_set_default(
     key='default_model',
     default_value='model.safetensors',
-    validator=lambda x: isinstance(x, str)
+    validator=lambda x: isinstance(x, str),
+    expected_type=str
 )
 previous_default_models = get_config_item_or_set_default(
     key='previous_default_models',
     default_value=[],
-    validator=lambda x: isinstance(x, list) and all(isinstance(k, str) for k in x)
+    validator=lambda x: isinstance(x, list) and all(isinstance(k, str) for k in x),
+    expected_type=list
 )
 default_refiner_model_name = default_refiner = get_config_item_or_set_default(
     key='default_refiner',
     default_value='None',
-    validator=lambda x: isinstance(x, str)
+    validator=lambda x: isinstance(x, str),
+    expected_type=str
 )
 default_refiner_switch = get_config_item_or_set_default(
     key='default_refiner_switch',
     default_value=0.8,
-    validator=lambda x: isinstance(x, numbers.Number) and 0 <= x <= 1
+    validator=lambda x: isinstance(x, numbers.Number) and 0 <= x <= 1,
+    expected_type=numbers.Number
 )
 default_loras_min_weight = get_config_item_or_set_default(
     key='default_loras_min_weight',
     default_value=-2,
-    validator=lambda x: isinstance(x, numbers.Number) and -10 <= x <= 10
+    validator=lambda x: isinstance(x, numbers.Number) and -10 <= x <= 10,
+    expected_type=numbers.Number
 )
 default_loras_max_weight = get_config_item_or_set_default(
     key='default_loras_max_weight',
     default_value=2,
-    validator=lambda x: isinstance(x, numbers.Number) and -10 <= x <= 10
+    validator=lambda x: isinstance(x, numbers.Number) and -10 <= x <= 10,
+    expected_type=numbers.Number
 )
 default_loras = get_config_item_or_set_default(
     key='default_loras',
@@ -320,38 +330,45 @@ default_loras = get_config_item_or_set_default(
     validator=lambda x: isinstance(x, list) and all(
         len(y) == 3 and isinstance(y[0], bool) and isinstance(y[1], str) and isinstance(y[2], numbers.Number)
         or len(y) == 2 and isinstance(y[0], str) and isinstance(y[1], numbers.Number)
-        for y in x)
+        for y in x),
+    expected_type=list
 )
 default_loras = [(y[0], y[1], y[2]) if len(y) == 3 else (True, y[0], y[1]) for y in default_loras]
 default_max_lora_number = get_config_item_or_set_default(
     key='default_max_lora_number',
     default_value=len(default_loras) if isinstance(default_loras, list) and len(default_loras) > 0 else 5,
-    validator=lambda x: isinstance(x, int) and x >= 1
+    validator=lambda x: isinstance(x, int) and x >= 1,
+    expected_type=int
 )
 default_cfg_scale = get_config_item_or_set_default(
     key='default_cfg_scale',
     default_value=7.0,
-    validator=lambda x: isinstance(x, numbers.Number)
+    validator=lambda x: isinstance(x, numbers.Number),
+    expected_type=numbers.Number
 )
 default_sample_sharpness = get_config_item_or_set_default(
     key='default_sample_sharpness',
     default_value=2.0,
-    validator=lambda x: isinstance(x, numbers.Number)
+    validator=lambda x: isinstance(x, numbers.Number),
+    expected_type=numbers.Number
 )
 default_sampler = get_config_item_or_set_default(
     key='default_sampler',
     default_value='dpmpp_2m_sde_gpu',
-    validator=lambda x: x in modules.flags.sampler_list
+    validator=lambda x: x in modules.flags.sampler_list,
+    expected_type=str
 )
 default_scheduler = get_config_item_or_set_default(
     key='default_scheduler',
     default_value='karras',
-    validator=lambda x: x in modules.flags.scheduler_list
+    validator=lambda x: x in modules.flags.scheduler_list,
+    expected_type=str
 )
 default_vae = get_config_item_or_set_default(
     key='default_vae',
     default_value=modules.flags.default_vae,
-    validator=lambda x: isinstance(x, str)
+    validator=lambda x: isinstance(x, str),
+    expected_type=str
 )
 default_styles = get_config_item_or_set_default(
     key='default_styles',
@@ -360,121 +377,144 @@ default_styles = get_config_item_or_set_default(
         "Fooocus Enhance",
         "Fooocus Sharp"
     ],
-    validator=lambda x: isinstance(x, list) and all(y in modules.sdxl_styles.legal_style_names for y in x)
+    validator=lambda x: isinstance(x, list) and all(y in modules.sdxl_styles.legal_style_names for y in x),
+    expected_type=list
 )
 default_prompt_negative = get_config_item_or_set_default(
     key='default_prompt_negative',
     default_value='',
     validator=lambda x: isinstance(x, str),
-    disable_empty_as_none=True
+    disable_empty_as_none=True,
+    expected_type=str
 )
 default_prompt = get_config_item_or_set_default(
     key='default_prompt',
     default_value='',
     validator=lambda x: isinstance(x, str),
-    disable_empty_as_none=True
+    disable_empty_as_none=True,
+    expected_type=str
 )
 default_performance = get_config_item_or_set_default(
     key='default_performance',
     default_value=Performance.SPEED.value,
-    validator=lambda x: x in Performance.list()
+    validator=lambda x: x in Performance.list(),
+    expected_type=str
 )
 default_advanced_checkbox = get_config_item_or_set_default(
     key='default_advanced_checkbox',
     default_value=False,
-    validator=lambda x: isinstance(x, bool)
+    validator=lambda x: isinstance(x, bool),
+    expected_type=bool
 )
 default_max_image_number = get_config_item_or_set_default(
     key='default_max_image_number',
     default_value=32,
-    validator=lambda x: isinstance(x, int) and x >= 1
+    validator=lambda x: isinstance(x, int) and x >= 1,
+    expected_type=int
 )
 default_output_format = get_config_item_or_set_default(
     key='default_output_format',
     default_value='png',
-    validator=lambda x: x in OutputFormat.list()
+    validator=lambda x: x in OutputFormat.list(),
+    expected_type=str
 )
 default_image_number = get_config_item_or_set_default(
     key='default_image_number',
     default_value=2,
-    validator=lambda x: isinstance(x, int) and 1 <= x <= default_max_image_number
+    validator=lambda x: isinstance(x, int) and 1 <= x <= default_max_image_number,
+    expected_type=int
 )
 checkpoint_downloads = get_config_item_or_set_default(
     key='checkpoint_downloads',
     default_value={},
-    validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items())
+    validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items()),
+    expected_type=dict
 )
 lora_downloads = get_config_item_or_set_default(
     key='lora_downloads',
     default_value={},
-    validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items())
+    validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items()),
+    expected_type=dict
 )
 embeddings_downloads = get_config_item_or_set_default(
     key='embeddings_downloads',
     default_value={},
-    validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items())
+    validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items()),
+    expected_type=dict
 )
 available_aspect_ratios = get_config_item_or_set_default(
     key='available_aspect_ratios',
     default_value=modules.flags.sdxl_aspect_ratios,
-    validator=lambda x: isinstance(x, list) and all('*' in v for v in x) and len(x) > 1
+    validator=lambda x: isinstance(x, list) and all('*' in v for v in x) and len(x) > 1,
+    expected_type=list
 )
 default_aspect_ratio = get_config_item_or_set_default(
     key='default_aspect_ratio',
     default_value='1152*896' if '1152*896' in available_aspect_ratios else available_aspect_ratios[0],
-    validator=lambda x: x in available_aspect_ratios
+    validator=lambda x: x in available_aspect_ratios,
+    expected_type=str
 )
 default_inpaint_engine_version = get_config_item_or_set_default(
     key='default_inpaint_engine_version',
     default_value='v2.6',
-    validator=lambda x: x in modules.flags.inpaint_engine_versions
+    validator=lambda x: x in modules.flags.inpaint_engine_versions,
+    expected_type=str
 )
 default_cfg_tsnr = get_config_item_or_set_default(
     key='default_cfg_tsnr',
     default_value=7.0,
-    validator=lambda x: isinstance(x, numbers.Number)
+    validator=lambda x: isinstance(x, numbers.Number),
+    expected_type=numbers.Number
 )
 default_clip_skip = get_config_item_or_set_default(
     key='default_clip_skip',
     default_value=2,
-    validator=lambda x: isinstance(x, int) and 1 <= x <= modules.flags.clip_skip_max
+    validator=lambda x: isinstance(x, int) and 1 <= x <= modules.flags.clip_skip_max,
+    expected_type=int
 )
 default_overwrite_step = get_config_item_or_set_default(
     key='default_overwrite_step',
     default_value=-1,
-    validator=lambda x: isinstance(x, int)
+    validator=lambda x: isinstance(x, int),
+    expected_type=int
 )
 default_overwrite_switch = get_config_item_or_set_default(
     key='default_overwrite_switch',
     default_value=-1,
-    validator=lambda x: isinstance(x, int)
+    validator=lambda x: isinstance(x, int),
+    expected_type=int
 )
 example_inpaint_prompts = get_config_item_or_set_default(
     key='example_inpaint_prompts',
     default_value=[
         'highly detailed face', 'detailed girl face', 'detailed man face', 'detailed hand', 'beautiful eyes'
     ],
-    validator=lambda x: isinstance(x, list) and all(isinstance(v, str) for v in x)
+    validator=lambda x: isinstance(x, list) and all(isinstance(v, str) for v in x),
+    expected_type=list
 )
 default_black_out_nsfw = get_config_item_or_set_default(
     key='default_black_out_nsfw',
     default_value=False,
-    validator=lambda x: isinstance(x, bool)
+    validator=lambda x: isinstance(x, bool),
+    expected_type=bool
 )
 default_save_metadata_to_images = get_config_item_or_set_default(
     key='default_save_metadata_to_images',
     default_value=False,
-    validator=lambda x: isinstance(x, bool)
+    validator=lambda x: isinstance(x, bool),
+    expected_type=bool
 )
 default_metadata_scheme = get_config_item_or_set_default(
     key='default_metadata_scheme',
     default_value=MetadataScheme.FOOOCUS.value,
-    validator=lambda x: x in [y[1] for y in modules.flags.metadata_scheme if y[1] == x]
+    validator=lambda x: x in [y[1] for y in modules.flags.metadata_scheme if y[1] == x],
+    expected_type=str
 )
 metadata_created_by = get_config_item_or_set_default(
     key='metadata_created_by',
     default_value='',
-    validator=lambda x: isinstance(x, str)
+    validator=lambda x: isinstance(x, str),
+    expected_type=str
 )
 
 example_inpaint_prompts = [[x] for x in example_inpaint_prompts]
diff --git a/modules/extra_utils.py b/modules/extra_utils.py
index 9906c820..c2dfa810 100644
--- a/modules/extra_utils.py
+++ b/modules/extra_utils.py
@@ -1,4 +1,6 @@
 import os
+from ast import literal_eval
+
 
 def makedirs_with_log(path):
     try:
@@ -24,3 +26,16 @@ def get_files_from_folder(folder_path, extensions=None, name_filter=None):
                 filenames.append(path)
 
     return filenames
+
+
+def try_eval_env_var(value: str, expected_type=None):
+    try:
+        value_eval = value
+        if expected_type is bool:
+            value_eval = value.title()
+        value_eval = literal_eval(value_eval)
+        if expected_type is not None and not isinstance(value_eval, expected_type):
+            return value
+        return value_eval
+    except:
+        return value
diff --git a/tests/test_extra_utils.py b/tests/test_extra_utils.py
new file mode 100644
index 00000000..a849aa16
--- /dev/null
+++ b/tests/test_extra_utils.py
@@ -0,0 +1,74 @@
+import numbers
+import os
+import unittest
+
+import modules.flags
+from modules import extra_utils
+
+
+class TestUtils(unittest.TestCase):
+    def test_try_eval_env_var(self):
+        test_cases = [
+            {
+                "input": ("foo", str),
+                "output": "foo"
+            },
+            {
+                "input": ("1", int),
+                "output": 1
+            },
+            {
+                "input": ("1.0", float),
+                "output": 1.0
+            },
+            {
+                "input": ("1", numbers.Number),
+                "output": 1
+            },
+            {
+                "input": ("1.0", numbers.Number),
+                "output": 1.0
+            },
+            {
+                "input": ("true", bool),
+                "output": True
+            },
+            {
+                "input": ("True", bool),
+                "output": True
+            },
+            {
+                "input": ("false", bool),
+                "output": False
+            },
+            {
+                "input": ("False", bool),
+                "output": False
+            },
+            {
+                "input": ("True", str),
+                "output": "True"
+            },
+            {
+                "input": ("False", str),
+                "output": "False"
+            },
+            {
+                "input": ("['a', 'b', 'c']", list),
+                "output": ['a', 'b', 'c']
+            },
+            {
+                "input": ("{'a':1}", dict),
+                "output": {'a': 1}
+            },
+            {
+                "input": ("('foo', 1)", tuple),
+                "output": ('foo', 1)
+            }
+        ]
+
+        for test in test_cases:
+            value, expected_type = test["input"]
+            expected = test["output"]
+            actual = extra_utils.try_eval_env_var(value, expected_type)
+            self.assertEqual(expected, actual)

From ba77e7f706c07be9d1a9e1de929c5f40a662376f Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Thu, 6 Jun 2024 19:34:44 +0200
Subject: [PATCH 175/180] release: bump version to 2.4.3, update changelog
 (#3109)

---
 fooocus_version.py | 2 +-
 update_log.md      | 6 +++++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/fooocus_version.py b/fooocus_version.py
index 4ddefe9a..84d1586b 100644
--- a/fooocus_version.py
+++ b/fooocus_version.py
@@ -1 +1 @@
-version = '2.4.2'
+version = '2.4.3'
diff --git a/update_log.md b/update_log.md
index 81d0718f..8aa43647 100644
--- a/update_log.md
+++ b/update_log.md
@@ -1,3 +1,8 @@
+# [2.4.3](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.3)
+
+* Fix alphas_cumprod setter for TCD sampler
+* Add parser for env var strings to expected config value types to allow override of all non-path config keys 
+
 # [2.4.2](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.2)
 
 * Fix some small bugs (tcd scheduler when gamma is 0, chown in Dockerfile, update cmd args in readme, translation for aspect ratios, vae default after file reload)
@@ -6,7 +11,6 @@
 * Make textboxes (incl. positive prompt) resizable
 * Hide intermediate images when performance of Gradio would bottleneck the generation process (Extreme Speed, Lightning, Hyper-SD)
 
-
 # [2.4.1](https://github.com/lllyasviel/Fooocus/releases/tag/v2.4.1)
 
 * Fix some small bugs (e.g. adjust clip skip default value from 1 to 2, add type check to aspect ratios js update function)

From 55ef7608ea0424649e78d01dc01dfaf542399605 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Tue, 11 Jun 2024 22:50:09 +0200
Subject: [PATCH 176/180] feat: adjust playground_v2.5 preset (#3136)

* feat: reduce cfg of playground_v2.5 preset from 3 to 2 to prevent oversaturation

* feat: adjust default styles for playground_v2.5
---
 presets/playground_v2.5.json | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/presets/playground_v2.5.json b/presets/playground_v2.5.json
index fb9bd7f3..5bc6059e 100644
--- a/presets/playground_v2.5.json
+++ b/presets/playground_v2.5.json
@@ -29,7 +29,7 @@
             1.0
         ]
     ],
-    "default_cfg_scale": 3.0,
+    "default_cfg_scale": 2.0,
     "default_sample_sharpness": 2.0,
     "default_sampler": "dpmpp_2m",
     "default_scheduler": "edm_playground_v2.5",
@@ -37,9 +37,7 @@
     "default_prompt": "",
     "default_prompt_negative": "",
     "default_styles": [
-        "Fooocus V2",
-        "Fooocus Enhance",
-        "Fooocus Sharp"
+        "Fooocus V2"
     ],
     "default_aspect_ratio": "1024*1024",
     "checkpoint_downloads": {

From 3e453501f702a7d419dd4b4a2067ab6a7daca495 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 16 Jun 2024 16:52:58 +0200
Subject: [PATCH 177/180] fix: correctly identify and remove performance LoRA
 (#3150)

---
 modules/meta_parser.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 0d509a19..02dfc180 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -61,7 +61,7 @@ def load_parameter_button_click(raw_metadata: dict | str, is_generating: bool):
 
     # prevent performance LoRAs to be added twice, by performance and by lora
     performance_filename = None
-    if performance is not None and performance in Performance.list():
+    if performance is not None and performance in Performance.values():
         performance = Performance(performance)
         performance_filename = performance.lora_filename()
 
@@ -232,7 +232,7 @@ def parse_meta_from_preset(preset_content):
             loras = getattr(modules.config, settings_key)
             if settings_key in items:
                 loras = items[settings_key]
-            for index, lora in enumerate(loras[:5]):
+            for index, lora in enumerate(loras[:modules.config.default_max_lora_number]):
                 preset_prepared[f'lora_combined_{index + 1}'] = ' : '.join(map(str, lora))
         elif settings_key == "default_aspect_ratio":
             if settings_key in items and items[settings_key] is not None:

From 9d41c9521bcac2aa5d59e423ad576da3922ede07 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 16 Jun 2024 18:44:16 +0200
Subject: [PATCH 178/180] fix: add workaround for same value in Steps IntEnum
 (#3153)

---
 modules/flags.py       | 4 ++++
 modules/meta_parser.py | 5 +++--
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/modules/flags.py b/modules/flags.py
index adaea1d1..8b35daea 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -131,6 +131,10 @@ class Steps(IntEnum):
     LIGHTNING = 4
     HYPER_SD = 4
 
+    @classmethod
+    def keys(cls) -> list:
+        return list(map(lambda c: c, Steps.__members__))
+
 
 class StepsUOV(IntEnum):
     QUALITY = 36
diff --git a/modules/meta_parser.py b/modules/meta_parser.py
index 02dfc180..ff930cc0 100644
--- a/modules/meta_parser.py
+++ b/modules/meta_parser.py
@@ -119,8 +119,9 @@ def get_steps(key: str, fallback: str | None, source_dict: dict, results: list,
         assert h is not None
         h = int(h)
         # if not in steps or in steps and performance is not the same
-        if h not in iter(Steps) or Steps(h).name.casefold() != source_dict.get('performance', '').replace(' ',
-                                                                                                          '_').casefold():
+        performance_name = source_dict.get('performance', '').replace(' ', '_').replace('-', '_').casefold()
+        performance_candidates = [key for key in Steps.keys() if key.casefold() == performance_name and Steps[key] == h]
+        if len(performance_candidates) == 0:
             results.append(h)
             return
         results.append(-1)

From 7c1a101c0f4bffc7b596cd7c0cb258a6fb843145 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Sun, 16 Jun 2024 18:53:20 +0200
Subject: [PATCH 179/180] hotfix: add missing method in performance enum
 (#3154)

---
 modules/flags.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/modules/flags.py b/modules/flags.py
index 8b35daea..29ac4615 100644
--- a/modules/flags.py
+++ b/modules/flags.py
@@ -155,6 +155,10 @@ class Performance(Enum):
     def list(cls) -> list:
         return list(map(lambda c: c.value, cls))
 
+    @classmethod
+    def values(cls) -> list:
+        return list(map(lambda c: c.value, cls))
+
     @classmethod
     def by_steps(cls, steps: int | str):
         return cls[Steps(int(steps)).name]

From 9178aa8ebba5d7595554ef3adfe8ca995cf32ee0 Mon Sep 17 00:00:00 2001
From: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
Date: Fri, 21 Jun 2024 20:24:11 +0200
Subject: [PATCH 180/180] feat: add vae to possible preset keys (#3177)

set default_vae in any preset to use it
---
 modules/config.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/config.py b/modules/config.py
index e3c427d2..a6767c37 100644
--- a/modules/config.py
+++ b/modules/config.py
@@ -546,7 +546,8 @@ possible_preset_keys = {
     "default_save_metadata_to_images": "default_save_metadata_to_images",
     "checkpoint_downloads": "checkpoint_downloads",
     "embeddings_downloads": "embeddings_downloads",
-    "lora_downloads": "lora_downloads"
+    "lora_downloads": "lora_downloads",
+    "default_vae": "vae"
 }
 
 REWRITE_PRESET = False