Update app.py

app.py

@@ -120,7 +120,7 @@ pipe.watermark = NoWatermark()
 refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained(
     base_model_path, # we found use base_model_path instead of refiner_model_path may get a better performance
     scheduler=scheduler,
-    ,torch_dtype=torch.float16,
+    torch_dtype=torch.float16,
     use_safetensors=True
 ).to("cuda")
 refiner.watermark = NoWatermark()