compile vae

src/pipeline.py

@@ -40,7 +40,7 @@ def load_pipeline() -> Pipeline:
     )
 
     pipeline.transformer.to(memory_format=torch.channels_last)
-    pipeline.enable_vae_tiling()
+    pipeline.vae = torch.compile(pipeline.vae)
     pipeline.to("cuda")
     for _ in range(4):
         pipeline("cat", num_inference_steps=4)