Update app.py

app.py

@@ -12,7 +12,7 @@ pipe = AuraFlowPipeline.from_pretrained(
     torch_dtype=torch.float16
 ).to("cuda")
 
-pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
+pipe.transformer = torch.compile(pipe.transformer, mode="reduce-overhead", fullgraph=True)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024