o the image. Both of these functions are bundled into preprocess_train:   Copied def preprocess_train(examples):
    images = [image.convert("RGB") for image in examples[image_column]]
    examples["pixel_values"] = [train_transforms(image) for image in images]
    examples["input_ids"] = tokenize_captions(examples)
    return examples Lastly, the training loop handles everything else. It encodes images into latent space, adds noise to the late