Update app.py

app.py

@@ -103,14 +103,8 @@ try:
     
     print(f"Loading LoRA weights from: {lora_path}")
     
-    # LoRA 가중치 로드 방식 수정
-    pipe.load_lora_weights(
-        lora_path,
-        adapter_name="fantasy"
-    )
-    
-    # LoRA 가중치 활성화
-    pipe.set_adapters(["fantasy"])
+    # LoRA 가중치 로드
+    pipe.load_lora_weights(lora_path)
     pipe.fuse_lora(lora_scale=0.75)  # lora_scale 값 조정
     
     # 메모리 정리
@@ -119,7 +113,6 @@ try:
     
     print("LoRA weights loaded and fused successfully")
     print(f"Current device: {pipe.device}")
-    print(f"Active adapters: {pipe.active_adapters}")
 
 except Exception as e:
     print(f"Error loading LoRA weights: {str(e)}")
@@ -143,16 +136,14 @@ def generate_image(
         
         translated_prompt = translate_to_english(prompt)
         print(f"Processing prompt: {translated_prompt}")
-        print(f"Active adapters before generation: {pipe.active_adapters}")
         
         if randomize_seed:
             seed = random.randint(0, MAX_SEED)
         
         generator = torch.Generator(device=device).manual_seed(seed)
         
-        # LoRA 설정 확인
-        print(f"LoRA scale: {pipe.lora_scale}")
         print(f"Current device: {pipe.device}")
+        print(f"Starting image generation...")
         
         with torch.inference_mode(), torch.cuda.amp.autocast(enabled=True):
             image = pipe(