Text-to-Speech
LiteRT
LiteRT
ONNX
Core ML
PyTorch
tts
singing
singing-voice-synthesis
multilingual
korean
expressive-tts
duration-flow
Instructions to use acidsound/scyllasband with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use acidsound/scyllasband with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
8 days ago
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docs: update PROGRESS.md with Hugging Face Space deployment milestone
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docs: update PROGRESS.md with 2.75s truncation fix and prosody events
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docs: update PROGRESS.md with lightweight INT8 WebGPU bundle milestone
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Upload PROGRESS.md with huggingface_hub
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Upload PROGRESS.md with huggingface_hub
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Upload PROGRESS.md with huggingface_hub
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feat(webgpu): add standalone in-browser WebGPU TTS demo
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feat(korean): implement end-to-end Korean speech and singing support
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