#5736 系统错误 (None):NoneTraceback (most recent call last):

120.229* 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:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\transformers\modeling_utils.py", line 4060, in from_pretrained

checkpoint_files, sharded_metadata = _get_resolved_checkpoint_files(

File "D:\Ruanjian-m\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:/Ruanjian-m/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: D:/视频制作/减肥/The Fat Burning Expert: The REAL Reason You’re Not Losing Belly Fat (and How To Fix It Fast!)-(1080p25).mp4,
输出结果保存到文件夹: D:/视频制作/减肥/_video_out/The Fat Burning Expert: The REAL Reason You’re Not Losing Belly Fat (and How To Fix It Fast!)-(1080p25)-mp4,
临时文件夹: D:/Ruanjian-m/win-pyvideotrans-v4.05/tmp/37116/63a2674921
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: distil-large-v3, 发音语言: 英语, 断句方式:默认断句
翻译渠道:DeepSeek,原始语言:英语,目标语言:简体中文, 已选 发送完整字幕
配音渠道:OmniVoice(本地内置), 角色:clone, 配音语言:简体中文, 未选 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
代理地址:


=
system:Windows-10-10.0.26200-SP0
version:v4.05
frozen:True
language:zh
root_dir:D:/Ruanjian-m/win-pyvideotrans-v4.05

1 Replies

该错误是由于 OmniVoice 本地模型文件未下载完整或缺失导致的。软件在 models/models--k2-fsa--OmniVoice 目录下没有找到 model.safetensorspytorch_model.bin 文件。

解决方法:

  1. 关闭软件,进入软件根目录下的 models 文件夹,找到 models--k2-fsa--OmniVoice 文件夹,将其彻底删除
  2. 重新启动软件,再次执行翻译任务。软件会在首次使用 OmniVoice 时自动从 Hugging Face 下载完整模型(约 10GB),请保持网络畅通,不要中断下载
  3. 如果自动下载失败(例如网络问题),可以手动下载模型后放置到该目录:

    • 前往 Hugging Face 模型页 k2-fsa/OmniVoice 下载所有文件。
    • 将下载的文件放入 models/models--k2-fsa--OmniVoice 文件夹中。
    • 确保包含 model.safetensorspytorch_model.bin

注意:OmniVoice 模型较大,需确保硬盘有足够空间(约 15GB),使用 CUDA 加速时显存建议不低于 8GB。

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