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
File size: 970 Bytes
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license: mit
pipeline_tag: audio-to-audio
tags:
- mlx
- voice-conversion
- rvc
---
# MLX-RVC Serena e70
Native MLX RVC v2/48 kHz composite checkpoint for AI2Apps. It contains the
MLX-trained e70 synthetic Serena test voice, its exact retrieval index, the
shared ContentVec and RMVPE components, and the converted RVC v2/48 kHz
generator/discriminator initialization used by the native MLX trainer. The
checkpoint contains only safetensors and JSON; it does not require Torch,
torchaudio, FAISS, or pickle at runtime.
The voice training corpus was generated with the `serena` preset of Qwen3-TTS
and is intended as a built-in functional voice, not as the identity of a real
person. Users must have permission to process the source audio they submit.
The implementation is derived from RVC at source revision
`81eed5e8f68b6bed1789f682fe78cdd324495afc`. The selected voice is the native
MLX safe-adaptation epoch-70 checkpoint chosen by listening comparison.
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