Ethanfel
6bc3fd6443
Pure PyTorch SelVA source for SelvaModelLoader/FeatureExtractor/Sampler nodes. Imports rewritten from selva.* to selva_core.*. mel_converter.py: replaced librosa.filters.mel with pure-numpy implementation to avoid librosa→numba→NumPy version incompatibility in some ComfyUI environments. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
110 lines
4.0 KiB
Python
110 lines
4.0 KiB
Python
import hashlib
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import logging
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from pathlib import Path
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import requests
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from tqdm import tqdm
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log = logging.getLogger()
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links = [
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{
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'name': 'video_enc_sup_5.pth',
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'url': 'https://huggingface.co/jnwnlee/SelVA/resolve/main/weights/video_enc_sup_5.pth',
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'md5': 'ff09a6dc36148536ee4db97eba081d05'
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},
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{
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'name': 'generator_small_16k_sup_5.pth',
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'url': 'https://huggingface.co/jnwnlee/SelVA/resolve/main/weights/generator_small_16k_sup_5.pth',
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'md5': '1cb0f0deec52de37f67b1fd9965337d0'
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},
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{
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'name': 'generator_small_44k_sup_5.pth',
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'url': 'https://huggingface.co/jnwnlee/SelVA/resolve/main/weights/generator_small_44k_sup_5.pth',
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'md5': 'd4df8569624093ac80af99b8b7434525'
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},
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{
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'name': 'generator_medium_44k_sup_5.pth',
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'url': 'https://huggingface.co/jnwnlee/SelVA/resolve/main/weights/generator_medium_44k_sup_5.pth',
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'md5': 'e9157e62b4863ad306e89e8f3a587748'
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},
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{
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'name': 'generator_large_44k_sup_5.pth',
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'url': 'https://huggingface.co/jnwnlee/SelVA/resolve/main/weights/generator_large_44k_sup_5.pth',
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'md5': 'ab3db08b124d3aaa53eb7a1f52f1fb3f'
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},
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{
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'name': 'v1-16.pth',
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'url': 'https://huggingface.co/jnwnlee/SelVA/resolve/main/ext_weights/v1-16.pth',
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'md5': '69f56803f59a549a1a507c93859fd4d7'
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},
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{
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'name': 'best_netG.pt',
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'url': 'https://huggingface.co/jnwnlee/SelVA/resolve/main/ext_weights/best_netG.pt',
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'md5': 'eeaf372a38a9c31c362120aba2dde292'
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},
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{
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'name': 'v1-44.pth',
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'url': 'https://huggingface.co/jnwnlee/SelVA/resolve/main/ext_weights/v1-44.pth',
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'md5': 'fab020275fa44c6589820ce025191600'
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},
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{
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'name': 'synchformer_state_dict.pth',
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'url':
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'https://huggingface.co/jnwnlee/SelVA/resolve/main/ext_weights/synchformer_state_dict.pth',
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'md5': '5b2f5594b0730f70e41e549b7c94390c'
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},
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{
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'name': 'mmaudio_small_16k.pth',
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'url': 'https://huggingface.co/hkchengrex/MMAudio/resolve/main/weights/mmaudio_small_16k.pth',
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'md5': 'af93cde404179f58e3919ac085b8033b',
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},
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{
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'name': 'mmaudio_small_44k.pth',
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'url': 'https://huggingface.co/hkchengrex/MMAudio/resolve/main/weights/mmaudio_small_44k.pth',
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'md5': 'babd74c884783d13701ea2820a5f5b6d',
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},
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{
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'name': 'mmaudio_medium_44k.pth',
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'url': 'https://huggingface.co/hkchengrex/MMAudio/resolve/main/weights/mmaudio_medium_44k.pth',
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'md5': '5a56b6665e45a1e65ada534defa903d0',
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},
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{
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'name': 'mmaudio_large_44k.pth',
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'url': 'https://huggingface.co/hkchengrex/MMAudio/resolve/main/weights/mmaudio_large_44k.pth',
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'md5': 'fed96c325a6785b85ce75ae1aafd2673'
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},
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{
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'name': 'mmaudio_large_44k_v2.pth',
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'url': 'https://huggingface.co/hkchengrex/MMAudio/resolve/main/weights/mmaudio_large_44k_v2.pth',
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'md5': '01ad4464f049b2d7efdaa4c1a59b8dfe'
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},
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]
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def download_model_if_needed(model_path: Path):
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base_name = model_path.name
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for link in links:
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if link['name'] == base_name:
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target_link = link
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break
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else:
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raise ValueError(f'No link found for {base_name}')
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model_path.parent.mkdir(parents=True, exist_ok=True)
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if not model_path.exists() or hashlib.md5(open(model_path,
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'rb').read()).hexdigest() != target_link['md5']:
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log.info(f'Downloading {base_name} to {model_path}...')
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r = requests.get(target_link['url'], stream=True)
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total_size = int(r.headers.get('content-length', 0))
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block_size = 1024
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t = tqdm(total=total_size, unit='iB', unit_scale=True)
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with open(model_path, 'wb') as f:
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for data in r.iter_content(block_size):
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t.update(len(data))
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f.write(data)
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t.close()
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if total_size != 0 and t.n != total_size:
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raise RuntimeError('Error while downloading %s' % base_name)
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