[DEBUG] Debug app.py

app.py

@@ -151,7 +151,8 @@ def infer(
               'height': height,
               'generator': generator
               }
-    pipe = load_pipeline(lora_scale,
+    pipe = load_pipeline(model_id,
+                         lora_scale,
                          controlnet_checkbox,
                          controlnet_mode,
                          ip_adapter_checkbox,
@@ -162,12 +163,12 @@ def infer(
         seed = random.randint(0, MAX_SEED)
 
     # If using the LoRA model, update the LoRA scale if supported.
-    if model_id == "YaArtemNosenko/dino_stickers":
-        # This assumes your pipeline's unet has a method to update the LoRA scale.
-        if hasattr(pipe.unet, "set_lora_scale"):
-            pipe.unet.set_lora_scale(lora_scale)
-        else:
-            print("Warning: LoRA scale adjustment method not found on UNet.")
+    # if model_id == "YaArtemNosenko/dino_stickers":
+    #     # This assumes your pipeline's unet has a method to update the LoRA scale.
+    #     if hasattr(pipe.unet, "set_lora_scale"):
+    #         pipe.unet.set_lora_scale(lora_scale)
+    #     else:
+    #         print("Warning: LoRA scale adjustment method not found on UNet.")
     # если используем controlnet
     if controlnet_checkbox:
         params['image'] = controlnet_image