Instructions to use yaanfpv/svara-tts-voiceclone-beta-mlx-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use yaanfpv/svara-tts-voiceclone-beta-mlx-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir svara-tts-voiceclone-beta-mlx-bf16 yaanfpv/svara-tts-voiceclone-beta-mlx-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Svara TTS VoiceClone Beta MLX BF16
This is an unquantized BF16 MLX conversion of
kenpath/svara-tts-voiceclone-beta
for Apple Silicon local inference with mlx-audio and the
ComfyUI-Svara-TTS
helper backend.
The source model is an experimental Svara-TTS beta model for Indic
reference-audio voice cloning. It is based on
kenpath/svara-tts-v1.
Conversion
- Source model:
kenpath/svara-tts-voiceclone-beta - Conversion tool:
mlx_lm.convert - Saved dtype:
bfloat16 - Quantization: none
- Intended runtime:
mlx-audioon Apple Silicon - Tested integration:
ComfyUI-Svara-TTSMLX Audio helper
Example conversion command:
python3 -m mlx_lm convert \
--hf-path /path/to/kenpath--svara-tts-voiceclone-beta \
--mlx-path ./svara-tts-voiceclone-beta-mlx-bf16 \
--dtype bfloat16
Use With ComfyUI-Svara-TTS
In ComfyUI-Svara-TTS, choose the VoiceClone Beta model bundle and the
MLX Audio local helper on macOS. The helper uses this converted model for
Apple Silicon inference.
The model still requires the Svara/SNAC-style audio token pipeline provided by
mlx-audio; this repository is the converted language model weights, not a
standalone ComfyUI node pack.
Responsible Use
Use only reference audio that you have the right and consent to use. This is a beta voice-cloning model, not a guaranteed exact speaker replica. Results can vary by language, recording quality, reference clip, text length, and sampling settings.
Do not use this model for impersonation, deception, fraud, harassment, or other harmful uses.
Attribution
Original model and model card by Kenpath:
- Source model: https://huggingface.co/kenpath/svara-tts-voiceclone-beta
- Base model: https://huggingface.co/kenpath/svara-tts-v1
- Inference repo: https://github.com/Kenpath/svara-tts-inference
The original model is released under Apache-2.0.
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Quantized
Model tree for yaanfpv/svara-tts-voiceclone-beta-mlx-bf16
Base model
meta-llama/Llama-3.2-3B-Instruct