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When using tts in Xinference, ImportError: Failed to intialize FFmpeg extension. Tried versions: ['6', '5', '4', '']. Enable DEBUG logging to see more details about the error. #12093

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opened 2026-02-21 19:05:43 -05:00 by yindo · 4 comments
yindo commented 2026-02-21 19:05:43 -05:00
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Originally created by @sky121666 on GitHub (Mar 25, 2025).

Self Checks

  • This is only for bug report, if you would like to ask a question, please head to Discussions.
  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
  • [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:)
  • Please do not modify this template :) and fill in all the required fields.

Dify version

1.1.3

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

The environment is all docker. I tested it manually with curl and found that Xinference has no problem. I checked the logs and compared the correct and incorrect responses and found that there is a different parameter when dify uses tts.

"stream": true

When stream=true, an error will be reported

2025-03-25 14:57:20 2025-03-24 23:57:20,375 xinference.core.supervisor 112 DEBUG    [request 658040ca-0946-11f0-a7cc-4a6bfbc3dec0] Enter get_model, args: <xinference.core.supervisor.SupervisorActor object at 0x7fd5fb847600>,ChatTTS, kwargs:
2025-03-25 14:57:20 2025-03-24 23:57:20,377 xinference.core.worker 112 DEBUG    Enter get_model, args: <xinference.core.worker.WorkerActor object at 0x7fd5fb872e80>, kwargs: model_uid=ChatTTS-0
2025-03-25 14:57:20 2025-03-24 23:57:20,378 xinference.core.worker 112 DEBUG    Leave get_model, elapsed time: 0 s
2025-03-25 14:57:20 2025-03-24 23:57:20,379 xinference.core.supervisor 112 DEBUG    [request 658040ca-0946-11f0-a7cc-4a6bfbc3dec0] Leave get_model, elapsed time: 0 s
2025-03-25 14:57:20 2025-03-24 23:57:20,383 xinference.core.model 129 DEBUG    Request speech, current serve request count: 0, request limit: inf for the model ChatTTS-0
2025-03-25 14:57:20 2025-03-24 23:57:20,385 xinference.core.model 129 DEBUG    [request 6581c5ee-0946-11f0-9ba2-4a6bfbc3dec0] Enter speech, args: ModelActor(ChatTTS-0), kwargs: input=你好，Xinference！,voice=echo,response_format=mp3,speed=1.0,stream=True
2025-03-25 14:57:20 2025-03-24 23:57:20,477 xinference.model.audio.chattts 129 INFO     Speech by voice echo
2025-03-25 14:57:20 2025-03-24 23:57:20,479 xinference.core.model 129 DEBUG    [request 6581c5ee-0946-11f0-9ba2-4a6bfbc3dec0] Leave speech, elapsed time: 0 s
2025-03-25 14:57:20 2025-03-24 23:57:20,480 xinference.core.model 129 DEBUG    After request speech, current serve request count: 0 for the model ChatTTS-0
2025-03-25 14:57:20 2025-03-24 23:57:20,485 xinference.core.model 129 ERROR    stream encountered an error.
2025-03-25 14:57:20 Traceback (most recent call last):
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 625, in _handle_pending_requests
2025-03-25 14:57:20     r = await asyncio.to_thread(_wrapper, gen)
2025-03-25 14:57:20   File "/usr/lib/python3.10/asyncio/threads.py", line 25, in to_thread
2025-03-25 14:57:20     return await loop.run_in_executor(None, func_call)
2025-03-25 14:57:20   File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
2025-03-25 14:57:20     result = self.fn(*self.args, **self.kwargs)
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 618, in _wrapper
2025-03-25 14:57:20     return next(_gen)
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 530, in _to_generator
2025-03-25 14:57:20     for v in gen:
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/xinference/model/audio/chattts.py", line 115, in _generator
2025-03-25 14:57:20     writer = torchaudio.io.StreamWriter(out, format=response_format)
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/torio/io/_streaming_media_encoder.py", line 197, in __init__
2025-03-25 14:57:20     self._s = ffmpeg_ext.StreamingMediaEncoderFileObj(dst, format, buffer_size)
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/torio/_extension/utils.py", line 25, in __getattr__
2025-03-25 14:57:20     self._import_once()
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/torio/_extension/utils.py", line 39, in _import_once
2025-03-25 14:57:20     self.module = self.import_func()
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/torio/_extension/utils.py", line 143, in _init_ffmpeg
2025-03-25 14:57:20     ext = _find_ffmpeg_extension(ffmpeg_vers)
2025-03-25 14:57:20   File "/usr/local/lib/python3.10/dist-packages/torio/_extension/utils.py", line 122, in _find_ffmpeg_extension
2025-03-25 14:57:20     raise ImportError(
2025-03-25 14:57:20 ImportError: Failed to intialize FFmpeg extension. Tried versions: ['6', '5', '4', '']. Enable DEBUG logging to see more details about the error.

✔️ Expected Behavior

No response

❌ Actual Behavior

This is the correct result of manual testing

2025-03-25 14:57:13 2025-03-24 23:57:13,038 xinference.core.supervisor 112 DEBUG    [request 6120cdc4-0946-11f0-a7cc-4a6bfbc3dec0] Enter get_model, args: <xinference.core.supervisor.SupervisorActor object at 0x7fd5fb847600>,ChatTTS, kwargs: 
2025-03-25 14:57:13 2025-03-24 23:57:13,040 xinference.core.worker 112 DEBUG    Enter get_model, args: <xinference.core.worker.WorkerActor object at 0x7fd5fb872e80>, kwargs: model_uid=ChatTTS-0
2025-03-25 14:57:13 2025-03-24 23:57:13,042 xinference.core.worker 112 DEBUG    Leave get_model, elapsed time: 0 s
2025-03-25 14:57:13 2025-03-24 23:57:13,043 xinference.core.supervisor 112 DEBUG    [request 6120cdc4-0946-11f0-a7cc-4a6bfbc3dec0] Leave get_model, elapsed time: 0 s
2025-03-25 14:57:13 2025-03-24 23:57:13,046 xinference.core.model 129 DEBUG    Request speech, current serve request count: 0, request limit: inf for the model ChatTTS-0
2025-03-25 14:57:13 2025-03-24 23:57:13,048 xinference.core.model 129 DEBUG    [request 61224866-0946-11f0-9ba2-4a6bfbc3dec0] Enter speech, args: ModelActor(ChatTTS-0), kwargs: input=你好，Xinference！,voice=echo,response_format=mp3,speed=1.0,stream=False
2025-03-25 14:57:13 2025-03-24 23:57:13,140 xinference.model.audio.chattts 129 INFO     Speech by voice echo
2025-03-25 14:57:13 found invalid characters: {'！'}
2025-03-25 14:57:13 
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2025-03-25 14:57:16 2025-03-24 23:57:16,827 xinference.core.model 129 DEBUG    [request 61224866-0946-11f0-9ba2-4a6bfbc3dec0] Leave speech, elapsed time: 3 s
2025-03-25 14:57:16 2025-03-24 23:57:16,828 xinference.core.model 129 DEBUG    After request speech, current serve request count: 0 for the model ChatTTS-0
Originally created by @sky121666 on GitHub (Mar 25, 2025). ### Self Checks - [x] This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general). - [x] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [x] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [x] [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:) - [x] Please do not modify this template :) and fill in all the required fields. ### Dify version 1.1.3 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce The environment is all docker. I tested it manually with curl and found that Xinference has no problem. I checked the logs and compared the correct and incorrect responses and found that there is a different parameter when dify uses tts. "stream": true When stream=true, an error will be reported ```txt 2025-03-25 14:57:20 2025-03-24 23:57:20,375 xinference.core.supervisor 112 DEBUG [request 658040ca-0946-11f0-a7cc-4a6bfbc3dec0] Enter get_model, args: <xinference.core.supervisor.SupervisorActor object at 0x7fd5fb847600>,ChatTTS, kwargs: 2025-03-25 14:57:20 2025-03-24 23:57:20,377 xinference.core.worker 112 DEBUG Enter get_model, args: <xinference.core.worker.WorkerActor object at 0x7fd5fb872e80>, kwargs: model_uid=ChatTTS-0 2025-03-25 14:57:20 2025-03-24 23:57:20,378 xinference.core.worker 112 DEBUG Leave get_model, elapsed time: 0 s 2025-03-25 14:57:20 2025-03-24 23:57:20,379 xinference.core.supervisor 112 DEBUG [request 658040ca-0946-11f0-a7cc-4a6bfbc3dec0] Leave get_model, elapsed time: 0 s 2025-03-25 14:57:20 2025-03-24 23:57:20,383 xinference.core.model 129 DEBUG Request speech, current serve request count: 0, request limit: inf for the model ChatTTS-0 2025-03-25 14:57:20 2025-03-24 23:57:20,385 xinference.core.model 129 DEBUG [request 6581c5ee-0946-11f0-9ba2-4a6bfbc3dec0] Enter speech, args: ModelActor(ChatTTS-0), kwargs: input=你好，Xinference！,voice=echo,response_format=mp3,speed=1.0,stream=True 2025-03-25 14:57:20 2025-03-24 23:57:20,477 xinference.model.audio.chattts 129 INFO Speech by voice echo 2025-03-25 14:57:20 2025-03-24 23:57:20,479 xinference.core.model 129 DEBUG [request 6581c5ee-0946-11f0-9ba2-4a6bfbc3dec0] Leave speech, elapsed time: 0 s 2025-03-25 14:57:20 2025-03-24 23:57:20,480 xinference.core.model 129 DEBUG After request speech, current serve request count: 0 for the model ChatTTS-0 2025-03-25 14:57:20 2025-03-24 23:57:20,485 xinference.core.model 129 ERROR stream encountered an error. 2025-03-25 14:57:20 Traceback (most recent call last): 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 625, in _handle_pending_requests 2025-03-25 14:57:20 r = await asyncio.to_thread(_wrapper, gen) 2025-03-25 14:57:20 File "/usr/lib/python3.10/asyncio/threads.py", line 25, in to_thread 2025-03-25 14:57:20 return await loop.run_in_executor(None, func_call) 2025-03-25 14:57:20 File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run 2025-03-25 14:57:20 result = self.fn(*self.args, **self.kwargs) 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 618, in _wrapper 2025-03-25 14:57:20 return next(_gen) 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/xinference/core/model.py", line 530, in _to_generator 2025-03-25 14:57:20 for v in gen: 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/xinference/model/audio/chattts.py", line 115, in _generator 2025-03-25 14:57:20 writer = torchaudio.io.StreamWriter(out, format=response_format) 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/torio/io/_streaming_media_encoder.py", line 197, in __init__ 2025-03-25 14:57:20 self._s = ffmpeg_ext.StreamingMediaEncoderFileObj(dst, format, buffer_size) 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/torio/_extension/utils.py", line 25, in __getattr__ 2025-03-25 14:57:20 self._import_once() 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/torio/_extension/utils.py", line 39, in _import_once 2025-03-25 14:57:20 self.module = self.import_func() 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/torio/_extension/utils.py", line 143, in _init_ffmpeg 2025-03-25 14:57:20 ext = _find_ffmpeg_extension(ffmpeg_vers) 2025-03-25 14:57:20 File "/usr/local/lib/python3.10/dist-packages/torio/_extension/utils.py", line 122, in _find_ffmpeg_extension 2025-03-25 14:57:20 raise ImportError( 2025-03-25 14:57:20 ImportError: Failed to intialize FFmpeg extension. Tried versions: ['6', '5', '4', '']. Enable DEBUG logging to see more details about the error. ``` ### ✔️ Expected Behavior _No response_ ### ❌ Actual Behavior This is the correct result of manual testing ```txt 2025-03-25 14:57:13 2025-03-24 23:57:13,038 xinference.core.supervisor 112 DEBUG [request 6120cdc4-0946-11f0-a7cc-4a6bfbc3dec0] Enter get_model, args: <xinference.core.supervisor.SupervisorActor object at 0x7fd5fb847600>,ChatTTS, kwargs: 2025-03-25 14:57:13 2025-03-24 23:57:13,040 xinference.core.worker 112 DEBUG Enter get_model, args: <xinference.core.worker.WorkerActor object at 0x7fd5fb872e80>, kwargs: model_uid=ChatTTS-0 2025-03-25 14:57:13 2025-03-24 23:57:13,042 xinference.core.worker 112 DEBUG Leave get_model, elapsed time: 0 s 2025-03-25 14:57:13 2025-03-24 23:57:13,043 xinference.core.supervisor 112 DEBUG [request 6120cdc4-0946-11f0-a7cc-4a6bfbc3dec0] Leave get_model, elapsed time: 0 s 2025-03-25 14:57:13 2025-03-24 23:57:13,046 xinference.core.model 129 DEBUG Request speech, current serve request count: 0, request limit: inf for the model ChatTTS-0 2025-03-25 14:57:13 2025-03-24 23:57:13,048 xinference.core.model 129 DEBUG [request 61224866-0946-11f0-9ba2-4a6bfbc3dec0] Enter speech, args: ModelActor(ChatTTS-0), kwargs: input=你好，Xinference！,voice=echo,response_format=mp3,speed=1.0,stream=False 2025-03-25 14:57:13 2025-03-24 23:57:13,140 xinference.model.audio.chattts 129 INFO Speech by voice echo 2025-03-25 14:57:13 found invalid characters: {'！'} 2025-03-25 14:57:13 text: 0%| | 0/384(max) [00:00, ?it/s] text: 0%|▍ | 1/384(max) [00:00, 7.97it/s] text: 1%|▊ | 2/384(max) [00:00, 8.83it/s] text: 1%|█▋ | 4/384(max) [00:00, 12.72it/s] text: 2%|██▌ | 6/384(max) [00:00, 14.58it/s] text: 2%|███▎ | 8/384(max) [00:00, 15.60it/s] text: 3%|████▏ | 10/384(max) [00:00, 16.25it/s] text: 3%|████▌ | 11/384(max) [00:00, 13.65it/s] 2025-03-25 14:57:16 code: 0%| | 0/2048(max) [00:00, ?it/s] code: 0%|▏ | 2/2048(max) [00:00, 15.78it/s] code: 0%|▎ | 4/2048(max) [00:00, 15.69it/s] code: 0%|▍ | 6/2048(max) [00:00, 16.32it/s] code: 0%|▋ | 8/2048(max) [00:00, 16.24it/s] code: 0%|▊ | 10/2048(max) [00:00, 16.38it/s] code: 1%|▉ | 12/2048(max) [00:00, 16.56it/s] code: 1%|█ | 14/2048(max) [00:00, 16.70it/s] code: 1%|█▏ | 16/2048(max) [00:00, 16.76it/s] code: 1%|█▍ | 18/2048(max) [00:01, 16.79it/s] code: 1%|█▌ | 20/2048(max) [00:01, 16.83it/s] code: 1%|█▋ | 22/2048(max) [00:01, 16.61it/s] code: 1%|█▊ | 24/2048(max) [00:01, 16.51it/s] code: 1%|██ | 26/2048(max) [00:01, 16.42it/s] code: 1%|██▏ | 28/2048(max) [00:01, 16.61it/s] code: 1%|██▎ | 30/2048(max) [00:01, 16.73it/s] code: 2%|██▍ | 32/2048(max) [00:01, 16.85it/s] code: 2%|██▋ | 34/2048(max) [00:02, 16.81it/s] code: 2%|██▊ | 36/2048(max) [00:02, 16.84it/s] code: 2%|██▉ | 38/2048(max) [00:02, 16.86it/s] code: 2%|███ | 40/2048(max) [00:02, 16.90it/s] code: 2%|███▎ | 42/2048(max) [00:02, 16.89it/s] code: 2%|███▍ | 44/2048(max) [00:02, 16.73it/s] code: 2%|███▌ | 46/2048(max) [00:02, 16.90it/s] code: 2%|███▌ | 46/2048(max) [00:02, 16.33it/s] 2025-03-25 14:57:16 2025-03-24 23:57:16,827 xinference.core.model 129 DEBUG [request 61224866-0946-11f0-9ba2-4a6bfbc3dec0] Leave speech, elapsed time: 3 s 2025-03-25 14:57:16 2025-03-24 23:57:16,828 xinference.core.model 129 DEBUG After request speech, current serve request count: 0 for the model ChatTTS-0 ```
yindo closed this issue 2026-02-21 19:05:43 -05:00
yindo commented 2026-02-21 19:05:43 -05:00
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@dosubot[bot] commented on GitHub (Mar 25, 2025):

To resolve the "ImportError: Failed to initialize FFmpeg extension" when using TTS in Xinference with the parameter "stream=true", ensure that FFmpeg is properly installed in your Docker environment. Here are the steps to install FFmpeg in Docker:

  1. Modify your Dockerfile to include FFmpeg installation:

    RUN apt-get update && \
    apt-get install -y ffmpeg

  2. Rebuild your Docker image with the updated Dockerfile:

    docker build -t your-image-name .

  3. Run the container using the newly built image:

    docker run your-image-name

By following these steps, you ensure that FFmpeg is correctly installed and available, resolving the initialization error [1][2].

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@dosubot[bot] commented on GitHub (Mar 25, 2025): <!-- Answer --> To resolve the "ImportError: Failed to initialize FFmpeg extension" when using TTS in Xinference with the parameter "stream=true", ensure that FFmpeg is properly installed in your Docker environment. Here are the steps to install FFmpeg in Docker: 1. Modify your Dockerfile to include FFmpeg installation: ```dockerfile RUN apt-get update && \ apt-get install -y ffmpeg ``` 2. Rebuild your Docker image with the updated Dockerfile: ```bash docker build -t your-image-name . ``` 3. Run the container using the newly built image: ```bash docker run your-image-name ``` By following these steps, you ensure that FFmpeg is correctly installed and available, resolving the initialization error <sup>[[1]](https://github.com/langgenius/dify/issues/11631)</sup><sup>[[2]](https://github.com/langgenius/dify/issues/15571)</sup>. <!-- Dosu Comment Footer --> *To continue talking to [Dosu](https://dosu.dev), mention @dosu.* --- <sup>Help Dosu learn! Give it feedback: [Great Response](https://app.dosu.dev/response-feedback/f2e25e82-13f1-4bc9-9239-bf4ef366855d?feedback_type=great_response) | [Irrelevant Answer](https://app.dosu.dev/response-feedback/f2e25e82-13f1-4bc9-9239-bf4ef366855d?feedback_type=irrelevant_answer) | [Incorrect Sources](https://app.dosu.dev/response-feedback/f2e25e82-13f1-4bc9-9239-bf4ef366855d?feedback_type=incorrect_sources) | [Too Verbose](https://app.dosu.dev/response-feedback/f2e25e82-13f1-4bc9-9239-bf4ef366855d?feedback_type=too_verbose) | [Hallucination](https://app.dosu.dev/response-feedback/f2e25e82-13f1-4bc9-9239-bf4ef366855d?feedback_type=hallucination) | [Bug Report](https://app.dosu.dev/response-feedback/f2e25e82-13f1-4bc9-9239-bf4ef366855d?feedback_type=bug_report) | [Other](https://app.dosu.dev/response-feedback/f2e25e82-13f1-4bc9-9239-bf4ef366855d?feedback_type=other)</sup>
yindo commented 2026-02-21 19:05:43 -05:00
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@crazywoola commented on GitHub (Mar 25, 2025):

We did nothing but calling it's api, so this should be a bug related to their repo.

@crazywoola commented on GitHub (Mar 25, 2025): We did nothing but calling it's api, so this should be a bug related to their repo.
yindo commented 2026-02-21 19:05:44 -05:00
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@937089773 commented on GitHub (Mar 28, 2025):

https://github.com/xorbitsai/inference/issues/3057#issuecomment-2760643278，You can refer to this

@937089773 commented on GitHub (Mar 28, 2025): https://github.com/xorbitsai/inference/issues/3057#issuecomment-2760643278，You can refer to this
yindo commented 2026-02-21 19:05:44 -05:00
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@sky121666 commented on GitHub (Mar 28, 2025):

https://github.com/xorbitsai/inference/issues/3057#issuecomment-2760643278，You can refer to this
Haha, that's the solution I found.

@sky121666 commented on GitHub (Mar 28, 2025): > [https://github.com/xorbitsai/inference/issues/3057#issuecomment-2760643278，You](https://github.com/xorbitsai/inference/issues/3057#issuecomment-2760643278%EF%BC%8CYou) can refer to this Haha, that's the solution I found.
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Reference: langgenius/dify#12093
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