public-data/Self-Distilled-StyleGAN

Self-Distilled StyleGAN

• https://arxiv.org/abs/2202.12211
• https://github.com/self-distilled-stylegan/self-distilled-internet-photos
• weights
  • https://storage.googleapis.com/self-distilled-stylegan/dogs_1024_pytorch.pkl
  • https://storage.googleapis.com/self-distilled-stylegan/elephants_512_pytorch.pkl
  • https://storage.googleapis.com/self-distilled-stylegan/horses_256_pytorch.pkl
  • https://storage.googleapis.com/self-distilled-stylegan/bicycles_256_pytorch.pkl
  • https://storage.googleapis.com/self-distilled-stylegan/lions_512_pytorch.pkl
  • https://storage.googleapis.com/self-distilled-stylegan/giraffes_512_pytorch.pkl
  • https://storage.googleapis.com/self-distilled-stylegan/parrots_512_pytorch.pkl

import pathlib
import pickle

sys.path.insert(0, '~/codes/clones/stylegan3')

paths = sorted(pathlib.Path('orig/').glob('*'))

out_dir = pathlib.Path('models')
out_dir.mkdir()

for path in paths:
    with open(path, 'rb') as f:
        ckpt = pickle.load(f)
    for key in list(ckpt.keys()):
        if key != 'G_ema':
            del ckpt[key]
    out_path = out_dir / path.name
    with open(out_path, 'wb') as f:
        pickle.dump(ckpt, f)