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