Text-to-Speech
ONNX
KittenTTS
English
tts
kokoro
piper
melotts
vits
vits2
styletts2
sherpa-onnx
on-device
threadcast
Instructions to use Pixel-Labs/threadcast-neural-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KittenTTS
How to use Pixel-Labs/threadcast-neural-models with KittenTTS:
from kittentts import KittenTTS m = KittenTTS("Pixel-Labs/threadcast-neural-models") audio = m.generate("This high quality TTS model works without a GPU") # Save the audio import soundfile as sf sf.write('output.wav', audio, 24000) - Notebooks
- Google Colab
- Kaggle
melo extension: upload fp32 model
Browse files
extension/neural-melo-en/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f72fbbc4105b008de8141049c0535b7a99a527ddb80fcbc0c0ac8a046997544
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size 170604201
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