import argparse import os from PIL import Image from min_dalle.min_dalle_torch import MinDalleTorch from min_dalle.min_dalle_flax import MinDalleFlax parser = argparse.ArgumentParser() parser.add_argument('--mega', action='store_true') parser.add_argument('--no-mega', dest='mega', action='store_false') parser.set_defaults(mega=False) parser.add_argument('--torch', action='store_true') parser.add_argument('--no-torch', dest='torch', action='store_false') parser.set_defaults(torch=False) parser.add_argument('--text', type=str, default='alien life') parser.add_argument('--seed', type=int, default=7) parser.add_argument('--image_path', type=str, default='generated') parser.add_argument('--token_count', type=int, default=256) # for debugging def ascii_from_image(image: Image.Image, size: int) -> str: rgb_pixels = image.resize((size, int(0.55 * size))).convert('L').getdata() chars = list('.,;/IOX') chars = [chars[i * len(chars) // 256] for i in rgb_pixels] chars = [chars[i * size: (i + 1) * size] for i in range(size // 2)] return '\n'.join(''.join(row) for row in chars) def save_image(image: Image.Image, path: str): if os.path.isdir(path): path = os.path.join(path, 'generated.png') elif not path.endswith('.png'): path += '.png' print("saving image to", path) image.save(path) return image def generate_image( is_torch: bool, is_mega: bool, text: str, seed: int, image_path: str, token_count: int ): is_expendable = True if is_torch: image_generator = MinDalleTorch(is_mega, is_expendable, token_count) if token_count < image_generator.config['image_length']: image_tokens = image_generator.generate_image_tokens(text, seed) print('image tokens', list(image_tokens.to('cpu').detach().numpy())) return else: image = image_generator.generate_image(text, seed) else: image_generator = MinDalleFlax(is_mega, is_expendable=True) image = image_generator.generate_image(text, seed) save_image(image, image_path) print(ascii_from_image(image, size=128)) if __name__ == '__main__': args = parser.parse_args() print(args) generate_image( is_torch=args.torch, is_mega=args.mega, text=args.text, seed=args.seed, image_path=args.image_path, token_count=args.token_count )