Text-to-Speech
LiteRT
ONNX
LiteRT
English
Spanish
Italian
onnxruntime
tts
int8
quantization
speech-synthesis
duration-flow
multilingual
expressive-tts
emotion
cpu-inference
Instructions to use spybyscript/scyllasband_old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use spybyscript/scyllasband_old 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
-
Restore original 4-language G2P (document-level regression in the v7 G2P; 85 vs 15 audible edits on the 145-line document suite)
Verified signatureb6e1a03
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Fully quantized Core AI bundle (macOS only: iPhone GPU compilation runs out of memory on the int8 vector estimator)
Verified signature975ff57 -
Default Core AI bundle: int8 frontends + fp32 vector/vocoder (full-int8 OOMs iPhone GPU compilation; moved to coreai-int8)
Verified signaturedb1b503 -
Keep the fp32 Core AI bundle available as coreai-fp32
Verified signatured05b2ea -
Make the int8-quantized Core AI bundle the default (g2p/duration/context/vector int8, vocoder fp32; 384-frame vocoder bucket excluded pending compiler fix)
Verified signature26c3761 -
Add Scylla's Band Core AI bundle for iOS and macOS 27 (384-frame vocoder bucket excluded pending re-export)
Verified signatureac26809
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Scylla's Band v1: G2P v7 (7 languages), b64/b128 latent buckets, model_version 1
Verified signaturea8deaa2
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Add optional INT8 ONNX bundle
Verified signature49abc9a
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Initial public release
c00d50c