theoracleguy/Chatterbox-Multilingual-MLX-v2-Q4

This model was converted to MLX format from ResembleAI/chatterbox using mlx-audio version 0.2.10.

Note: This model requires the S3Tokenizer weights from mlx-community/S3TokenizerV2, which will be downloaded automatically.

Use with OpenVox

This model can also be used with OpenVox, a desktop application for running compatible AI voice and text-to-speech models locally through a graphical interface.

After the required model files are downloaded, compatible workflows can run locally and can also be accessed through OpenVox API and MCP integrations.

Available features depend on the capabilities of the selected model. OpenVox is a third-party application and is not affiliated with or endorsed by the original model authors or maintainers.

Use with mlx-audio

pip install -U mlx-audio

Command line

curl -L -o ko.wav https://huggingface.co/litmudoc/Chatterbox-Multilingual-MLX-v2-Q4/resolve/main/ko.wav

mlx_audio.tts.generate \
  --model litmudoc/Chatterbox-Multilingual-MLX-v2-Q4 \
  --text ", 지난달 우리는 유튜브 채널에서 이십억 조회수라는 새로운 이정표에 도달했습니다." \
  --lang_code ko \
  --ref_audio ko.wav \
  --ref_text "우리는 정말로 허름한 호텔에 묵었지만, 그래도 행복했다." \
  --verbose --play

Python

from mlx_audio.tts.generate import generate_audio

generate_audio(
    text=", 지난달 우리는 유튜브 채널에서 이십억 조회수라는 새로운 이정표에 도달했습니다.",
    model="litmudoc/Chatterbox-Multilingual-MLX-v2-Q4",
    lang_code="ko",
    ref_audio="ko.wav",
    ref_text="우리는 정말로 허름한 호텔에 묵었지만, 그래도 행복했다.",
    file_prefix="output",
)