, image=original_image, num_inference_steps=25).images[0]  enable_sequential_cpu_offload  < source > ( gpu_id = 0  )    Offloads all models to CPU using accelerate, significantly reducing memory usage. When called, unet,
text_encoder, vae and safety checker have their state dicts saved to CPU and then are moved to a
torch.device('meta') and loaded to GPU only when their specific submodule has its forwardmethod called. Note that offloading happe