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 cfe7463fe2.

* 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

@@ -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()