Update app.py

app.py

@@ -70,6 +70,7 @@ def infer(
     lora_scale=0.5,
     progress=gr.Progress(track_tqdm=True)
 ):
+    print(f"Received lora_scale: {lora_scale}")  # Лог для проверки значения lora_scale
     generator = torch.Generator(device).manual_seed(seed)
     
     if model != model_default:
@@ -82,7 +83,13 @@ def infer(
         prompt_embeds = long_prompt_encoder(prompt, pipe.tokenizer, pipe.text_encoder)
         negative_prompt_embeds = long_prompt_encoder(negative_prompt, pipe.tokenizer, pipe.text_encoder)
         prompt_embeds, negative_prompt_embeds = align_embeddings(prompt_embeds, negative_prompt_embeds)
-        pipe.fuse_lora(lora_scale=lora_scale)  
+        
+        # Логирование параметров до и после применения LoRA
+        before_params = list(pipe.unet.parameters())
+        print(f"Applying LoRA with scale: {lora_scale}")
+        pipe.fuse_lora(lora_scale=lora_scale)
+        after_params = list(pipe.unet.parameters())
+        print(f"Parameters changed: {before_params != after_params}")
     
     params = {
         'prompt_embeds': prompt_embeds,