Update app.py

app.py

@@ -14,8 +14,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 
 # Load the model pipeline
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/Flux.1-Dev", torch_dtype=dtype).to(device)
-pipe.transformer.fuse_qkv_projections()
-pipe.transformer.set_attn_processor(FlashFusedFluxAttnProcessor3_0())
+pipe.transformer.set_attn_processor(FlashFluxAttnProcessor3_0())
 
 @spaces.GPU(duration=1200)
 def push_to_hub(repo_id, filename, oauth_token: gr.OAuthToken):