load, but performance is much better due to the iterative execution of the unet.  enable_sequential_cpu_offload  < source > ( gpu_id = 0  )    Offloads all models (unet, text_encoder, vae, and safety checker state dicts) to CPU using 🤗
Accelerate, significantly reducing memory usage. Models are moved to a torch.device('meta') and loaded on a
GPU only when their specific submodule’s forward method is called. Offloading happens on a submodule bas