Remove sequential CPU offload from image generation pipeline in app.py

app.py

@@ -27,7 +27,6 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
 pipe.vae.enable_tiling()
 pipe.vae.enable_slicing()
-pipe.enable_sequential_cpu_offload() # offloads modules to CPU on a submodule level (rather than model level)
 torch.cuda.empty_cache()
 
 pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe)