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] huggingface-cli download --local-dir MLX-RVC-Serena-E70 Avdpro/MLX-RVC-Serena-E70
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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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