Update app.py

app.py

@@ -200,9 +200,9 @@ def load_and_prepare_model():
     #pipe.enable_vae_tiling()
     #pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False, mode='max-autotune') #.to(device=device, dtype=torch.bfloat16)
     #pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False, mode='max-autotune-no-cudagraphs') #.to(device=device, dtype=torch.bfloat16)
-    pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False, options={'max_autotune': True, 'epilogue_fusion': True, 'shape_padding': True}) #.to(device=device, dtype=torch.bfloat16)
+    #pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False, options={'epilogue_fusion': True, 'shape_padding': True}) #.to(device=device, dtype=torch.bfloat16)
     #pipe.unet = torch.compile(pipe.unet, backend="hidet")
-    #pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False)
+    pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False)
     #pipe.unet = torch.compile(pipe.unet, backend="torch_tensorrt", dynamic=False, options={"precision": torch.bfloat16,"optimization_level": 4,})
     pipe.to(device=device, dtype=torch.bfloat16)