Instructions to use KitsuMate/chatterbox-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use KitsuMate/chatterbox-onnx with Chatterbox:
# pip install chatterbox-tts import torchaudio as ta from chatterbox.tts import ChatterboxTTS model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-1.wav", wav, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH="YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) - Notebooks
- Google Colab
- Kaggle
Chatterbox ONNX
KitsuMate layout of the English ResembleAI Chatterbox model using the pinned ONNX Community export at 3cab09af388d3f02bba43443fce88c1f4525ac43.
The q4f16 variant includes the four required graphs and their external data, the English tokenizer, and the upstream default voice. The voice file is redistributed unchanged from the MIT-licensed ONNX Community repository. This is the English checkpoint; it intentionally does not include the unrelated Cangjie mapping.