) To save a checkpoint stored in a different floating-point type or as a non-EMA variant, use the DiffusionPipeline.save_pretrained() method and specify the variant argument. You should try and save a variant to the same folder as the original checkpoint, so you can load both from the same folder:   Copied from diffusers import DiffusionPipeline