ces you’ll notice right away is that the training script also loads a CLIPImageProcessor - in addition to a scheduler and tokenizer - for preprocessing images and a CLIPVisionModelWithProjection model for encoding the images:   Copied noise_scheduler = DDPMScheduler(beta_schedule="squaredcos_cap_v2", prediction_type="sample")
image_processor = CLIPImageProcessor.from_pretrained(
    args.pretrained_prior_model_name_or_path, subfolder="image_pro