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import os, hashlib |
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import requests |
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from tqdm import tqdm |
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URL_MAP = { |
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"cifar10": "https://heibox.uni-heidelberg.de/f/869980b53bf5416c8a28/?dl=1", |
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"ema_cifar10": "https://heibox.uni-heidelberg.de/f/2e4f01e2d9ee49bab1d5/?dl=1", |
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"lsun_bedroom": "https://heibox.uni-heidelberg.de/f/f179d4f21ebc4d43bbfe/?dl=1", |
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"ema_lsun_bedroom": "https://heibox.uni-heidelberg.de/f/b95206528f384185889b/?dl=1", |
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"lsun_cat": "https://heibox.uni-heidelberg.de/f/fac870bd988348eab88e/?dl=1", |
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"ema_lsun_cat": "https://heibox.uni-heidelberg.de/f/0701aac3aa69457bbe34/?dl=1", |
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"lsun_church": "https://heibox.uni-heidelberg.de/f/2711a6f712e34b06b9d8/?dl=1", |
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"ema_lsun_church": "https://heibox.uni-heidelberg.de/f/44ccb50ef3c6436db52e/?dl=1", |
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} |
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CKPT_MAP = { |
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"cifar10": "diffusion_cifar10_model/model-790000.ckpt", |
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"ema_cifar10": "ema_diffusion_cifar10_model/model-790000.ckpt", |
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"lsun_bedroom": "diffusion_lsun_bedroom_model/model-2388000.ckpt", |
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"ema_lsun_bedroom": "ema_diffusion_lsun_bedroom_model/model-2388000.ckpt", |
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"lsun_cat": "diffusion_lsun_cat_model/model-1761000.ckpt", |
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"ema_lsun_cat": "ema_diffusion_lsun_cat_model/model-1761000.ckpt", |
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"lsun_church": "diffusion_lsun_church_model/model-4432000.ckpt", |
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"ema_lsun_church": "ema_diffusion_lsun_church_model/model-4432000.ckpt", |
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} |
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MD5_MAP = { |
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"cifar10": "82ed3067fd1002f5cf4c339fb80c4669", |
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"ema_cifar10": "1fa350b952534ae442b1d5235cce5cd3", |
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"lsun_bedroom": "f70280ac0e08b8e696f42cb8e948ff1c", |
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"ema_lsun_bedroom": "1921fa46b66a3665e450e42f36c2720f", |
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"lsun_cat": "bbee0e7c3d7abfb6e2539eaf2fb9987b", |
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"ema_lsun_cat": "646f23f4821f2459b8bafc57fd824558", |
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"lsun_church": "eb619b8a5ab95ef80f94ce8a5488dae3", |
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"ema_lsun_church": "fdc68a23938c2397caba4a260bc2445f", |
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} |
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def download(url, local_path, chunk_size=1024): |
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os.makedirs(os.path.split(local_path)[0], exist_ok=True) |
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with requests.get(url, stream=True) as r: |
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total_size = int(r.headers.get("content-length", 0)) |
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with tqdm(total=total_size, unit="B", unit_scale=True) as pbar: |
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with open(local_path, "wb") as f: |
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for data in r.iter_content(chunk_size=chunk_size): |
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if data: |
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f.write(data) |
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pbar.update(chunk_size) |
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def md5_hash(path): |
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with open(path, "rb") as f: |
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content = f.read() |
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return hashlib.md5(content).hexdigest() |
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def get_ckpt_path(name, root=None, check=False): |
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if 'church_outdoor' in name: |
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name = name.replace('church_outdoor', 'church') |
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assert name in URL_MAP |
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cachedir = os.environ.get("XDG_CACHE_HOME", os.path.expanduser("/atlas/u/tsong/.cache")) |
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root = ( |
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root |
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if root is not None |
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else os.path.join(cachedir, "diffusion_models_converted") |
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) |
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path = os.path.join(root, CKPT_MAP[name]) |
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if not os.path.exists(path) or (check and not md5_hash(path) == MD5_MAP[name]): |
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print("Downloading {} model from {} to {}".format(name, URL_MAP[name], path)) |
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download(URL_MAP[name], path) |
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md5 = md5_hash(path) |
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assert md5 == MD5_MAP[name], md5 |
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return path |
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