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79 lines
2.2 KiB
79 lines
2.2 KiB
import argparse |
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import os |
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from PIL import Image |
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from min_dalle import MinDalle |
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import torch |
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parser = argparse.ArgumentParser() |
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parser.add_argument('--mega', action='store_true') |
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parser.add_argument('--no-mega', dest='mega', action='store_false') |
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parser.set_defaults(mega=False) |
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parser.add_argument('--fp16', action='store_true') |
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parser.add_argument('--text', type=str, default='Dali painting of WALL·E') |
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parser.add_argument('--seed', type=int, default=-1) |
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parser.add_argument('--grid-size', type=int, default=1) |
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parser.add_argument('--image-path', type=str, default='generated') |
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parser.add_argument('--models-root', type=str, default='pretrained') |
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parser.add_argument('--top_k', type=int, default=256) |
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def ascii_from_image(image: Image.Image, size: int = 128) -> str: |
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gray_pixels = image.resize((size, int(0.55 * size))).convert('L').getdata() |
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chars = list('.,;/IOX') |
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chars = [chars[i * len(chars) // 256] for i in gray_pixels] |
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chars = [chars[i * size: (i + 1) * size] for i in range(size // 2)] |
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return '\n'.join(''.join(row) for row in chars) |
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def save_image(image: Image.Image, path: str): |
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if os.path.isdir(path): |
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path = os.path.join(path, 'generated.png') |
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elif not path.endswith('.png'): |
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path += '.png' |
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print("saving image to", path) |
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image.save(path) |
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return image |
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def generate_image( |
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is_mega: bool, |
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text: str, |
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seed: int, |
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grid_size: int, |
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top_k: int, |
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image_path: str, |
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models_root: str, |
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fp16: bool, |
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): |
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model = MinDalle( |
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is_mega=is_mega, |
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models_root=models_root, |
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is_reusable=False, |
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is_verbose=True, |
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dtype=torch.float16 if fp16 else torch.float32 |
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) |
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image = model.generate_image( |
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text, |
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seed, |
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grid_size, |
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top_k=top_k, |
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is_verbose=True |
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) |
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save_image(image, image_path) |
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print(ascii_from_image(image, size=128)) |
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if __name__ == '__main__': |
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args = parser.parse_args() |
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print(args) |
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generate_image( |
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is_mega=args.mega, |
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text=args.text, |
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seed=args.seed, |
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grid_size=args.grid_size, |
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top_k=args.top_k, |
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image_path=args.image_path, |
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models_root=args.models_root, |
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fp16=args.fp16, |
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)
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