RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI

Error: Connection errored out when converting Wav files.

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Description

I'm experiencing an error when trying to convert a wav files with a certain vocal models downloaded from voice-models.com

  • When launching the app i receive this message.

E:\RVC>runtime\python.exe infer-web.py --pycmd runtime\python.exe --port 7897
E:\RVC\runtime\lib\site-packages\torch\cuda_init_.py:173: UserWarning:
NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90 compute_37.
If you want to use the NVIDIA GeForce RTX 5090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
2025-07-31 13:58:26 | INFO | configs.config | Found GPU NVIDIA GeForce RTX 5090
is_half:True, device:cuda:0
2025-07-31 13:58:28 | INFO | main | Use Language: it_IT
Running on local URL: http://0.0.0.0:7897

  • After a while, when trying to convert, i receive an error message Error: Connection errored out when converting Wav files.
  • The Wav files is 51 sec long.
  • used all the alghorithms pm harvest crepe rmvpe with same result

This is my config
cpu 9800x3d
gpu 5090
64gb Ram 6000mhz
RVC latest

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with infer-web.py and the reported PyTorch CUDA warning; reproduce conversion using the 51-second WAV on the RTX 5090 and inspect the conversion error path. Done means conversion completes reliably or the issue records a confirmed compatibility limitation and its required resolution.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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