>>> pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", use_safetensors=True) The DiffusionPipeline downloads and caches all modeling, tokenization, and scheduling components. You’ll see that the Stable Diffusion pipeline is composed of the UNet2DConditionModel and PNDMScheduler among other things:   Copied >>> pipeline