! mkdir ../images
import PIL

for i, img in enumerate(photos_dataset.take(7038)):
    prediction = monet_generator(img, training=False)[0].numpy()
    prediction = unnormalize(prediction).astype(np.uint8)

    im = PIL.Image.fromarray(prediction)
    prediction = im.resize((256, 256), PIL.Image.BICUBIC)
    im.save("../images/" + str(i) + ".jpg")

import shutil
shutil.make_archive("/kaggle/working/images", 'zip', "/kaggle/images")