Update app_v3.py

app_v3.py

@@ -50,7 +50,7 @@ pipe.to("cuda")
 # For FLUX models, compiling VAE decode can also be beneficial if needed, though UNet is primary.
 # pipe.vae.decode = torch.compile(pipe.vae.decode, mode="reduce-overhead", fullgraph=True) # Uncomment if VAE compile helps
 try:
-    pipe.vae.decode = torch.compile(pipe.vae.decode, mode="reduce-overhead", fullgraph=True)
+    pipe.vae.decode = torch.compile(pipe.vae.decode, dynamic=True, mode="default")
 except Exception as e:
     print(f"Compile failed: {e}")