trained(pipe_id, subfolder="scheduler") Load an image processor:   Copied from transformers import CLIPFeatureExtractor

feature_extractor = CLIPFeatureExtractor.from_pretrained(pipe_id, subfolder="feature_extractor") In steps 4 and 5, the custom UNet and pipeline implementation must match the format shown in their files for this example to work. Now you’ll load a custom UNet, which in this example, has already been implemented in the showone_u