Spaces:
Running
on
Zero
Running
on
Zero
File size: 2,854 Bytes
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import hashlib
import logging
from pathlib import Path
import requests
from tqdm import tqdm
log = logging.getLogger()
links = [
{
'name': 'mmaudio_small_16k.pth',
'url': 'https://databank.illinois.edu/datafiles/k6jve/download',
'md5': 'af93cde404179f58e3919ac085b8033b',
},
{
'name': 'mmaudio_small_44k.pth',
'url': 'https://databank.illinois.edu/datafiles/864ya/download',
'md5': 'babd74c884783d13701ea2820a5f5b6d',
},
{
'name': 'mmaudio_medium_44k.pth',
'url': 'https://databank.illinois.edu/datafiles/pa94t/download',
'md5': '5a56b6665e45a1e65ada534defa903d0',
},
{
'name': 'mmaudio_large_44k.pth',
'url': 'https://databank.illinois.edu/datafiles/4jx76/download',
'md5': 'fed96c325a6785b85ce75ae1aafd2673'
},
{
'name': 'mmaudio_large_44k_v2.pth',
'url': 'https://databank.illinois.edu/datafiles/16j46/download',
'md5': '01ad4464f049b2d7efdaa4c1a59b8dfe'
},
{
'name': 'v1-16.pth',
'url': 'https://github.com/hkchengrex/MMAudio/releases/download/v0.1/v1-16.pth',
'md5': '69f56803f59a549a1a507c93859fd4d7'
},
{
'name': 'best_netG.pt',
'url': 'https://github.com/hkchengrex/MMAudio/releases/download/v0.1/best_netG.pt',
'md5': 'eeaf372a38a9c31c362120aba2dde292'
},
{
'name': 'v1-44.pth',
'url': 'https://github.com/hkchengrex/MMAudio/releases/download/v0.1/v1-44.pth',
'md5': 'fab020275fa44c6589820ce025191600'
},
{
'name': 'synchformer_state_dict.pth',
'url':
'https://github.com/hkchengrex/MMAudio/releases/download/v0.1/synchformer_state_dict.pth',
'md5': '5b2f5594b0730f70e41e549b7c94390c'
},
]
def download_model_if_needed(model_path: Path):
base_name = model_path.name
for link in links:
if link['name'] == base_name:
target_link = link
break
else:
raise ValueError(f'No link found for {base_name}')
model_path.parent.mkdir(parents=True, exist_ok=True)
if not model_path.exists() or hashlib.md5(open(model_path,
'rb').read()).hexdigest() != target_link['md5']:
log.info(f'Downloading {base_name} to {model_path}...')
r = requests.get(target_link['url'], stream=True)
total_size = int(r.headers.get('content-length', 0))
block_size = 1024
t = tqdm(total=total_size, unit='iB', unit_scale=True)
with open(model_path, 'wb') as f:
for data in r.iter_content(block_size):
t.update(len(data))
f.write(data)
t.close()
if total_size != 0 and t.n != total_size:
raise RuntimeError('Error while downloading %s' % base_name)
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