Instructions to use 2Noise/ChatTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ChatTTS
How to use 2Noise/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:
- a070c097773e201ff09ccd14b498606795760c0ee4720bacfd6310d27727cf72
- Size of remote file:
- 54.3 MB
- SHA256:
- 07e5561491cce41f7f90cfdb94b2ff263ff5742c3d89339db99b17ad82cc3f44
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.