#5711 配音阶段出错 [Qwen3-TTS(本地内置)] CUDA error: device-side assert triggeredCompile with `TORCH_USE_CUDA_DSA` to enable device-side

101.87* Posted at: 5 hours ago

配音阶段出错 [Qwen3-TTS(本地内置)] CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
,Traceback (most recent call last):
File "videotrans\process\tts_fun.py", line 127, in qwen3tts_fun
File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "D:\AI\win-pyvideotrans-v4.04-0704 (1)\_internal\qwen_tts\inference\qwen3_tts_model.py", line 603, in generate_voice_clone

talker_codes_list, _ = self.model.generate(

File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "D:\AI\win-pyvideotrans-v4.04-0704 (1)\_internal\qwen_tts\core\models\modeling_qwen3_tts.py", line 2272, in generate

talker_result = self.talker.generate(

File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "transformers\generation\utils.py", line 2566, in generate

result = decoding_method(

File "
......
rate

result = decoding_method(

File "transformers\generation\utils.py", line 2831, in _sample

next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1)

RuntimeError: CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Traceback (most recent call last):

File "videotrans\task\job.py", line 35, in run

File "videotrans\task\job.py", line 154, in process_task

File "videotrans\task\dubbing.py", line 51, in dubbing

File "videotrans\task\dubbing.py", line 204, in _tts

File "videotrans\tts\__init__.py", line 207, in run

File "videotrans\tts\_base.py", line 93, in run

File "videotrans\tts\_qwenttslocal.py", line 46, in _exec

File "videotrans\configure\base.py", line 272, in _new_process

videotrans.configure.excepts.VideoTransError: CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
,Traceback (most recent call last):
File "videotrans\process\tts_fun.py", line 127, in qwen3tts_fun
File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "D:\AI\win-pyvideotrans-v4.04-0704 (1)\_internal\qwen_tts\inference\qwen3_tts_model.py", line 603, in generate_voice_clone

talker_codes_list, _ = self.model.generate(

File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "D:\AI\win-pyvideotrans-v4.04-0704 (1)\_internal\qwen_tts\core\models\modeling_qwen3_tts.py", line 2272, in generate

talker_result = self.talker.generate(

File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "transformers\generation\utils.py", line 2566, in generate

result = decoding_method(

File "transformers\generation\utils.py", line 2789, in _sample

outputs = model_forward(**model_inputs, return_dict=True)

File "torch\nn\modules\module.py", line 1751, in _wrapped_call_impl

return self._call_impl(*args, **kwargs)

File "torch\nn\modules\module.py", line 1762, in _call_impl

return forward_call(*args, **kwargs)

File "transformers\utils\generic.py", line 918, in wrapper

output = func(self, *args, **kwargs)

File "D:\AI\win-pyvideotrans-v4.04-0704 (1)\_internal\qwen_tts\core\models\modeling_qwen3_tts.py", line 1671, in forward

predictor_result = self.code_predictor.generate(

File "torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "transformers\generation\utils.py", line 2566, in generate

result = decoding_method(

File "transformers\generation\utils.py", line 2831, in _sample

next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1)

RuntimeError: CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
cfg=TaskCfgTTS(uuid='b3619607b7', name='D:/AI/win-pyvideotrans-v4.04/output/translate/发现更多精彩视频 - 抖音搜索.ZH-HANS.srt', dirname='D:/AI/win-pyvideotrans-v4.04/output/translate', noextname='发现更多精彩视频 - 抖音搜索.ZH-HANS', basename='发现更多精彩视频 - 抖音搜索.ZH-HANS.srt', ext='srt', target_dir='D:/AI/win-pyvideotrans-v4.04-0704 (1)/output/tts', cache_folder='D:/AI/win-pyvideotrans-v4.04-0704 (1)/tmp/21188/b3619607b7', is_cuda=True, source_language=None, source_language_code=None, source_sub=None, source_wav=None, source_wav_output=None, target_language=None, target_language_code='zh-cn', target_sub='D:/AI/win-pyvideotrans-v4.04/output/translate/发现更多精彩视频 - 抖音搜索.ZH-HANS.srt', target_wav='D:/AI/win-pyvideotrans-v4.04-0704 (1)/output/tts/发现更多精彩视频 - 抖音搜索.ZH-HANS.wav', target_wav_output=None, tts_type=1, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='nverguo.wav', voice_autorate=True, video_autorate=False, remove_silent_mid=False, align_sub_audio=False)


=
system:Windows-10-10.0.26200-SP0
version:v4.04
frozen:True
language:zh
root_dir:D:/AI/win-pyvideotrans-v4.04-0704 (1)

1 Replies

这是由于 CUDA 环境或参考音频不符合要求导致的。核心原因在于:Qwen3-TTS 在进行声音克隆时,参考音频(nverguo.wav)的时长、格式或内容配置不正确,触发了 GPU 端的断言错误。

请按以下步骤排查:

  1. 检查参考音频文件

    • 确保 nverguo.wavwav 格式,时长在 3~10 秒 之间,内容为清晰无杂音的单独人声。
    • 将该文件放入软件根目录下的 f5-tts/ 文件夹内(注意:Qwen3-TTS 也读取此目录下的参考音频)。
    • 打开 菜单 → TTS设置 → 设置参考音频,在文本框内新起一行填写:
      nverguo.wav#该音频中的说话文本内容
      保存后重启软件。
  2. 确认 CUDA 环境完整

    • 打开命令行输入 nvcc -V 查看 CUDA 编译器版本是否 ≥ 12.8
    • 输入 nvidia-smi 确认显卡驱动支持 CUDA 12.8+。
    • 检查系统环境变量中 PATH 是否包含 CUDA 的 binlib 目录。
    • 如果显存小于 8GB,建议关闭其他占用显存的程序,或临时切换至 CPU 模式(取消勾选 CUDA 加速)测试。
  3. 降低配音线程数

    • 进入 菜单 → 工具 → 高级选项 → 字幕配音调整,将 并发配音线程数 改为 1,避免多线程同时占用显卡。
  4. 回避方案

    • 如果以上操作仍无法解决,可暂时切换至其他支持克隆的配音渠道,例如 F5-TTS(本地内置)OmniVoice-TTS,它们对参考音频的兼容性更好。

请查阅相关文档:

Post Your Reply
Open source and free maintenance is not easy. If this project is helpful to you, please consider making a small donation to help the project continue to maintain and update. Dondate: ko-fi.com/jianchang512

Related resource