Merge branch 'develop_upstream'

# Conflicts:
#	fooocus_version.py
#	modules/util.py
#	tests/test_utils.py
#	webui.py
This commit is contained in:
Manuel Schmid 2024-05-26 15:28:08 +02:00
commit f82aa8a909
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GPG Key ID: 32C4F7569B40B84B
12 changed files with 98 additions and 25 deletions

3
.gitattributes vendored Normal file
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@ -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

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@ -72,7 +72,7 @@ progress::after {
.progress-bar span {
text-align: right;
width: 200px;
width: 215px;
}
.type_row{
@ -399,4 +399,12 @@ progress::after {
text-align: center;
border-radius: 5px 5px 0px 0px;
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;
}

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@ -1 +1 @@
version = '2.4.0-rc4 (mashb1t)'
version = '2.4.0 (mashb1t)'

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@ -9,8 +9,15 @@
"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",
"Outpaint Direction": "Outpaint Direction",
"Method": "Method",
"Describe": "Describe",
"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:",
"Disabled": "Disabled",
"Vary (Subtle)": "Vary (Subtle)",
@ -323,6 +330,7 @@
"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.",
@ -394,7 +402,7 @@
"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",

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@ -177,6 +177,7 @@ 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()
@ -305,6 +306,7 @@ def worker():
negative_prompt = translate2en(negative_prompt, 'negative prompt')
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 = '
@ -478,6 +480,8 @@ 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 = []
@ -937,6 +941,8 @@ 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))

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@ -436,6 +436,11 @@ 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,
@ -517,6 +522,8 @@ possible_preset_keys = {
"default_loras": "<processed>",
"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",

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@ -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():

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@ -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())
@ -313,6 +314,7 @@ 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',
@ -457,7 +459,7 @@ 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]

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@ -484,7 +484,8 @@ 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:

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@ -77,6 +77,5 @@ 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)

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@ -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

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@ -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>')
@ -203,7 +203,7 @@ with shared.gradio_root:
with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab:
with gr.Row():
with gr.Column():
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_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.flags.inpaint_option_default, label='Method')
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')
@ -266,14 +266,14 @@ 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',
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):
@ -285,7 +285,7 @@ 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')
@ -468,6 +468,9 @@ 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,
@ -582,6 +585,8 @@ 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]
@ -591,6 +596,10 @@ with shared.gradio_root:
outputs=[inpaint_mask_image, inpaint_mask_generation_col],
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)
freeu_b1 = gr.Slider(label='B1', minimum=0, maximum=2, step=0.01, value=1.01)
@ -646,9 +655,9 @@ 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):
@ -734,7 +743,7 @@ 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]