#5700 系统错误 (None):NoneTraceback (most recent call last): File "videotrans\task\only_one.py", line 86, in run File "videotran

203.10* Posted at: 1 hour ago

系统错误 (None):None
Traceback (most recent call last):
File "videotrans\task\only_one.py", line 86, in run
File "videotrans\task\_stage_dubbing.py", line 23, in dubbing
File "videotrans\task\_stage_dubbing.py", line 102, in _tts
File "videotrans\tts\__init__.py", line 207, in run
File "videotrans\tts\_base.py", line 93, in run
File "videotrans\tts\_omnivoice.py", line 119, in _exec
File "omnivoice\models\omnivoice.py", line 260, in from_pretrained
File "D:\win-pyvideotrans-v4.05\_internal\transformers\modeling_utils.py", line 4060, in from_pretrained

checkpoint_files, sharded_metadata = _get_resolved_checkpoint_files(

File "D:\win-pyvideotrans-v4.05\_internal\transformers\modeling_utils.py", line 573, in _get_resolved_checkpoint_files

raise OSError(

OSError: Error no file named model.safetensors, or pytorch_model.bin, found in directory D:/win-pyvideotrans-v4.05/models/models--k2-fsa--OmniVoice.

cfg=[TaskCfgVTT]当前工作模式: 翻译视频或音频 单视频模式
原始输入文件名: C:/Users/Administrator/Desktop/13.mp4,
输出结果保存到文件夹: C:/Users/Administrator/Desktop/A1/13-mp4,
临时文件夹: D:/win-pyvideotrans-v4.05/tmp/32080/15e196c945
已选 清理已存在
已选 启用CUDA加速
未选 降噪
语音识别:faster-whisper(本地内置), model_name: large-v3-turbo, 发音语言: 简体中文, 断句方式:默认断句
翻译渠道:阿里百炼,原始语言:简体中文,目标语言:英语, 已选 发送完整字幕
配音渠道:OmniVoice(本地内置), 角色:clone, 配音语言:英语, 已选 二次语音识别
音量:+0%, 语速:+0%, 已选 音频加速, 未选 视频慢速
字幕: 嵌入硬字幕
已选 分离人声与背景声,存在分离后的纯净人声文件,存在分离后的背景声音文件
代理地址:


=
system:Windows-10-10.0.19045-SP0
version:v4.05
frozen:True
language:zh
root_dir:D:/win-pyvideotrans-v4.05

1 Replies

这是由于 OmniVoice 本地模型的文件不完整或未成功下载导致的。软件在 models/models--k2-fsa--OmniVoice 目录下未找到 model.safetensorspytorch_model.bin

解决方案:

  1. 重新触发模型下载:确保网络畅通,关闭代理或 VPN,然后回到主界面将配音渠道暂时切换为任意其他免费渠道(如 Edge-TTS),保存设置后再切回 OmniVoice,重新开始任务。软件会尝试联网补全模型文件。
  2. 手动下载模型:若自动下载失败,请前往 HuggingFace 的 k2-fsa/OmniVoice 仓库,下载所有 .bin.json.txt 等文件,放到目录 D:/win-pyvideotrans-v4.05/models/models--k2-fsa--OmniVoice/ 下覆盖即可。
  3. 临时换用其他配音渠道:如果急需使用,可先选择内置的 Edge-TTS(免费)或 Qwen-TTS(支持克隆)等渠道完成配音,避开 OmniVoice 的模型依赖。

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