Update app.py

app.py

@@ -17,17 +17,10 @@ SAMPLE_IMAGE = 'weights/Sample.png'
 
 def load_pipeline_w_lora() :
 
-    # Load pretrained unet from huggingface
-    unet = UNet2DConditionModel.from_pretrained(
-        MODEL_REPO,
-        subfolder="unet",
-        revision=None
-    )
-
+    
     # Load pipeline
     pipeline = DiffusionPipeline.from_pretrained(
         MODEL_REPO,
-        unet=unet,
         revision=None,
         torch_dtype=torch.float32,
     )