Update app.py

app.py

@@ -26,8 +26,6 @@ def get_lora_sd_pipeline(
     before_params = pipe.unet.parameters()
     pipe.unet = PeftModel.from_pretrained(pipe.unet, unet_sub_dir, adapter_name=adapter_name)
     pipe.unet.set_adapter(adapter_name)
-    pipe.unet.load_lora_weights(os.path.join(unet_sub_dir, "adapter_model.safetensors"))
-    pipe.fuse_lora(lora_scale=0.4)
     after_params = pipe.unet.parameters()
     print("Parameters changed:", any(torch.any(b != a) for b, a in zip(before_params, after_params)))
     
@@ -75,6 +73,7 @@ def infer(
     lora_scale=0.5,
     progress=gr.Progress(track_tqdm=True)
     ):
+    
     generator = torch.Generator(device).manual_seed(seed)
     
     if model_id != model_id_default: