fficient_attention(), to save memory and increase inference speed. If you’re using PyTorch 2.0, then you don’t need to call enable_xformers_memory_efficient_attention() on your pipeline because it’ll already be using PyTorch 2.0’s native scaled-dot product attention. Load an image to pass to the pipeline:   Copied init_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") Pass a pr