Instructions to use mlx-community/Chatterbox-TTS-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Chatterbox-TTS-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Chatterbox-TTS-fp16 mlx-community/Chatterbox-TTS-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
mlx-community/Chatterbox-TTS-fp16
This model was converted to MLX format from ResembleAI/chatterbox using mlx-audio-plus version 0.1.0.
Note: This model requires the S3Tokenizer weights from mlx-community/S3TokenizerV2, which will be downloaded automatically.
Use with mlx-audio-plus
pip install -U mlx-audio-plus
Command line
mlx_audio.tts --model mlx-community/Chatterbox-TTS-fp16 --text "Hello, this is Chatterbox on MLX!" --ref_audio reference.wav --ref_text "."
Python
from mlx_audio.tts.generate import generate_audio
generate_audio(
text="Hello, this is Chatterbox on MLX!",
model="mlx-community/Chatterbox-TTS-fp16",
ref_audio="reference.wav",
ref_text=".",
file_prefix="output",
)
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Hardware compatibility
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Model tree for mlx-community/Chatterbox-TTS-fp16
Base model
ResembleAI/chatterbox