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acul3
/
chatterbox-executorch

Text-to-Speech
Chatterbox
ExecuTorch
on-device
android
voice-cloning
Model card Files Files and versions
xet
Community

Instructions to use acul3/chatterbox-executorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Chatterbox

    How to use acul3/chatterbox-executorch 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-executorch
4.88 GB
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  • 1 contributor
History: 5 commits
acul3's picture
acul3
Upload folder using huggingface_hub
e444904 verified about 2 months ago
  • .gitattributes
    1.99 kB
    Upload 9 ExecuTorch .pte models (FP16, 2.6GB total) about 2 months ago
  • README.md
    4.35 kB
    Upload 9 ExecuTorch .pte models (FP16, 2.6GB total) about 2 months ago
  • cfm_step.pte
    286 MB
    xet
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  • hifigan.pte
    83.6 MB
    xet
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  • s3gen_encoder.pte
    186 MB
    xet
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  • t3_cond_enc.pte
    18 MB
    xet
    Upload 9 ExecuTorch .pte models (FP16, 2.6GB total) about 2 months ago
  • t3_cond_speech_emb.pte
    50.4 MB
    xet
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  • t3_decode.pte
    2.1 GB
    xet
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  • t3_prefill.pte
    2.12 GB
    xet
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  • voice_encoder.pte
    7.58 MB
    xet
    Upload 9 ExecuTorch .pte models (FP16, 2.6GB total) about 2 months ago
  • xvector_encoder.pte
    28.1 MB
    xet
    Upload 9 ExecuTorch .pte models (FP16, 2.6GB total) about 2 months ago