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] 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]