pipe functions

app.py

@@ -24,6 +24,8 @@ else:
     pipe = pn.state.cache['pipe'] = StableDiffusionInstructPix2PixPipeline.from_pretrained(
         model_id, torch_dtype=torch.float16
     ).to("cuda")
+    pipe.enable_xformers_memory_efficient_attention()
+    pipe.unet.to(memory_format=torch.channels_last)
 
 def normalize_image(value, width):
     """