Update app_v3.py

app_v3.py

@@ -23,7 +23,7 @@ from typing import Generator
 import gradio as gr
 from huggingface_hub import CommitScheduler, HfApi, logging
 from debug import log_params, scheduler
-
+import torch._dynamo
 logging.set_verbosity_debug()
 
 huggingface_token = os.getenv("HUGGINFACE_TOKEN")
@@ -47,10 +47,11 @@ pipe = FluxControlNetPipeline.from_pretrained(
 )
 pipe.to("cuda")
 
+torch._dynamo.config.suppress_errors = True
 # 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, dynamic=True, mode="default")
+    pipe.vae.decode = torch.compile(pipe.vae.decode, mode="default")
 except Exception as e:
     print(f"Compile failed: {e}")