Instructions to use Xenna/chatterbox-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use Xenna/chatterbox-GGUF 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 v3 T3 โ GGUF
CielVox Chatterbox v3 T3 model for voice cloning with the S3Gen codec.
- Input: reference audio + reference text
- Output: cloned voice speech
- Use with
--backend chatterbox --codec-model <s3gen.gguf>
Files
| File | Size | Description |
|---|---|---|
chatterbox-v3-t3-q8_0.gguf |
609 MB | T3 model, Q8_0 quantization |
Usage
./build/bin/stelnettts \
--backend chatterbox \
-m /path/to/chatterbox-v3-t3-q8_0.gguf \
--codec-model /path/to/chatterbox-v3-s3gen-q8_0.gguf \
--voice <ref.wav> --ref-text "<text>" \
--tts "Hello." --tts-output /tmp/out.wav \
--i-have-rights --speaker-identity synthetic
Note
Documentation under construction. Parameters and integration details may change.
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Hardware compatibility
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8-bit