Update app.py

app.py

@@ -13,7 +13,7 @@ print(f"Detected {len(model_list)} on models and {len(lora_list)} LoRAs.")
 models = {}
 for model_name in model_list:
     try:
-        print(f"Loading {model_name}...")
+        print(f"\n\nLoading {model_name}...")
         models[model_name] = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch.float16).to("cuda")
     except Exception as e:
         print(f"Error loading model {model_name}: {e}")