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 cfe7463fe2.

* 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

@@ -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()