Instructions to use Avdpro/MLX-RVC-Serena-E70 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/MLX-RVC-Serena-E70 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/MLX-RVC-Serena-E70 --local-dir MLX-RVC-Serena-E70
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download NOTICE.md from Avdpro/MLX-RVC-Serena-E70: direct link, hf CLI and curl.
- Browser
- Download file 670 Bytes
-
https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/NOTICE.md
- Command line
-
hf download hf://Avdpro/MLX-RVC-Serena-E70/NOTICE.md
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curl -L -o NOTICE.md https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/NOTICE.md
670 Bytes
Notices
- RVC implementation and architecture: Retrieval-based-Voice-Conversion-WebUI,
MIT License, pinned source revision
81eed5e8f68b6bed1789f682fe78cdd324495afc. - The bundled functional voice is trained from synthetic audio generated with
the Qwen3-TTS
serenapreset. It is marked as synthetic in the checkpoint manifest and must not be represented as a recording of a real person. - The native MLX training initialization is a safetensors conversion of the pinned upstream RVC v2/48 kHz generator and discriminator checkpoints.
- The Package performs local voice conversion only. It does not grant rights to source recordings supplied by a user.