l weights so it is faster the next time you load the model. For the quicktour, you’ll load the UNet2DModel, a basic unconditional image generation model with a checkpoint trained on cat images:   Copied >>> from diffusers import UNet2DModel

>>> repo_id = "google/ddpm-cat-256"
>>> model = UNet2DModel.from_pretrained(repo_id, use_safetensors=True) To access the model parameters, call model.config:   Copied >>> model.config The model configuratio