Instructions to use mlx-community/IndexTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- IndexTTS
How to use mlx-community/IndexTTS with IndexTTS:
# Download model from huggingface_hub import snapshot_download snapshot_download(mlx-community/IndexTTS, local_dir="checkpoints") from indextts.infer import IndexTTS # Ensure config.yaml is present in the checkpoints directory tts = IndexTTS(model_dir="checkpoints", cfg_path="checkpoints/config.yaml") voice = "path/to/your/reference_voice.wav" # Path to the voice reference audio file text = "Hello, how are you?" output_path = "output_index.wav" tts.infer(voice, text, output_path)
- MLX
How to use mlx-community/IndexTTS with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir IndexTTS mlx-community/IndexTTS
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 114d457e56c0dcebf08197975f7c548521cf9f552d0e5013c9b637fe53c725db
- Size of remote file:
- 476 kB
- SHA256:
- cf30028855ff4a89f6663325c88b44a69f74f97990dd410a4b35414c4db31779
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