Instructions to use wangyongzhe/ChatTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ChatTTS
How to use wangyongzhe/ChatTTS with ChatTTS:
import ChatTTS import torchaudio chat = ChatTTS.Chat() chat.load_models(compile=False) # Set to True for better performance texts = ["PUT YOUR TEXT HERE",] wavs = chat.infer(texts, ) torchaudio.save("output1.wav", torch.from_numpy(wavs[0]), 24000) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60c6c7761dc00c3024838aa1273051151f0d76b3b2c9f02ca5c83bae1ba22600
- Size of remote file:
- 104 MB
- SHA256:
- 9964e36e840f0e3a748c5f716fe6de6490d2135a5f5155f4a642d51860e2ec38
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