Instructions to use mlx-community/OuteTTS-1.0-0.6B-3bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OuteTTS
How to use mlx-community/OuteTTS-1.0-0.6B-3bit with OuteTTS:
import outetts enum = outetts.Models("mlx-community/OuteTTS-1.0-0.6B-3bit".split("/", 1)[1]) # VERSION_1_0_SIZE_1B cfg = outetts.ModelConfig.auto_config(enum, outetts.Backend.HF) tts = outetts.Interface(cfg) speaker = tts.load_default_speaker("EN-FEMALE-1-NEUTRAL") tts.generate( outetts.GenerationConfig( text="Hello there, how are you doing?", speaker=speaker, ) ).save("output.wav") - MLX
How to use mlx-community/OuteTTS-1.0-0.6B-3bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OuteTTS-1.0-0.6B-3bit mlx-community/OuteTTS-1.0-0.6B-3bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
mlx-community/OuteTTS-1.0-0.6B-3bit
This model was converted to MLX format from OuteAI/OuteTTS-1.0-0.6B using mlx-audio version 0.2.2.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-audio
python -m mlx_audio.tts.generate --model mlx-community/OuteTTS-1.0-0.6B-3bit --text "Describe this image."
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Hardware compatibility
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3-bit