Instructions to use ModelsLab/chatterbox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use ModelsLab/chatterbox 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
- Xet hash:
- 85822a496f1961a17756f294c6a822338c698136740ded123265511a0fec7f89
- Size of remote file:
- 1.06 GB
- SHA256:
- 9b9ff07e60b20c136e2b1b3d7563a24604e8d2c4c267888d1ee929dd0151d2a3
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