Update app.py

app.py

@@ -22,7 +22,10 @@ def get_lora_sd_pipeline(
         raise ValueError("Please specify the base model name or path")
     
     pipe = StableDiffusionPipeline.from_pretrained(base_model_name_or_path, torch_dtype=dtype)
+    before_params = pipe.unet.parameters()
     pipe.unet = PeftModel.from_pretrained(pipe.unet, unet_sub_dir, adapter_name=adapter_name)
+    after_params = pipe.unet.parameters()
+    print("Parameters changed:", any(torch.any(b != a) for b, a in zip(before_params, after_params)))
     
     if os.path.exists(text_encoder_sub_dir):
         pipe.text_encoder = PeftModel.from_pretrained(pipe.text_encoder, text_encoder_sub_dir, adapter_name=adapter_name)