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import os |
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from tqdm import tqdm |
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import requests |
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def download_pretrained_vae(overwrite=False): |
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download_path = "pretrained_models/vae/kl16.ckpt" |
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if not os.path.exists(download_path) or overwrite: |
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headers = {'user-agent': 'Wget/1.16 (linux-gnu)'} |
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os.makedirs("pretrained_models/vae", exist_ok=True) |
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r = requests.get("https://www.dropbox.com/scl/fi/hhmuvaiacrarfg28qxhwz/kl16.ckpt?rlkey=l44xipsezc8atcffdp4q7mwmh&dl=0", stream=True, headers=headers) |
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print("Downloading KL-16 VAE...") |
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with open(download_path, 'wb') as f: |
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for chunk in tqdm(r.iter_content(chunk_size=1024*1024), unit="MB", total=254): |
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if chunk: |
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f.write(chunk) |
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def download_pretrained_marb(overwrite=False): |
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download_path = "pretrained_models/mar/mar_base/checkpoint-last.pth" |
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if not os.path.exists(download_path) or overwrite: |
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headers = {'user-agent': 'Wget/1.16 (linux-gnu)'} |
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os.makedirs("pretrained_models/mar/mar_base", exist_ok=True) |
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r = requests.get("https://www.dropbox.com/scl/fi/f6dpuyjb7fudzxcyhvrhk/checkpoint-last.pth?rlkey=a6i4bo71vhfo4anp33n9ukujb&dl=0", stream=True, headers=headers) |
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print("Downloading MAR-B...") |
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with open(download_path, 'wb') as f: |
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for chunk in tqdm(r.iter_content(chunk_size=1024*1024), unit="MB", total=1587): |
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if chunk: |
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f.write(chunk) |
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def download_pretrained_marl(overwrite=False): |
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download_path = "pretrained_models/mar/mar_large/checkpoint-last.pth" |
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if not os.path.exists(download_path) or overwrite: |
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headers = {'user-agent': 'Wget/1.16 (linux-gnu)'} |
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os.makedirs("pretrained_models/mar/mar_large", exist_ok=True) |
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r = requests.get("https://www.dropbox.com/scl/fi/pxacc5b2mrt3ifw4cah6k/checkpoint-last.pth?rlkey=m48ovo6g7ivcbosrbdaz0ehqt&dl=0", stream=True, headers=headers) |
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print("Downloading MAR-L...") |
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with open(download_path, 'wb') as f: |
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for chunk in tqdm(r.iter_content(chunk_size=1024*1024), unit="MB", total=3650): |
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if chunk: |
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f.write(chunk) |
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def download_pretrained_marh(overwrite=False): |
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download_path = "pretrained_models/mar/mar_huge/checkpoint-last.pth" |
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if not os.path.exists(download_path) or overwrite: |
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headers = {'user-agent': 'Wget/1.16 (linux-gnu)'} |
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os.makedirs("pretrained_models/mar/mar_huge", exist_ok=True) |
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r = requests.get("https://www.dropbox.com/scl/fi/1qmfx6fpy3k7j9vcjjs3s/checkpoint-last.pth?rlkey=4lae281yzxb406atp32vzc83o&dl=0", stream=True, headers=headers) |
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print("Downloading MAR-H...") |
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with open(download_path, 'wb') as f: |
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for chunk in tqdm(r.iter_content(chunk_size=1024*1024), unit="MB", total=7191): |
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if chunk: |
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f.write(chunk) |
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if __name__ == "__main__": |
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download_pretrained_vae() |
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download_pretrained_marb() |
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download_pretrained_marl() |
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download_pretrained_marh() |
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