ONNX Model Zoo

qqiu/LUXtts

By qqiu · ↓ 0 · ♥ 0 · Updated 2026-01-29

What's in this repo

This page lists the files in qqiu/LUXtts, including fm_decoder.onnx, fm_decoder_int8.onnx, text_encoder.onnx and more.

  • 4 ONNX models (.onnx files)
  • 11 files, including 4 .onnx, 1 .md, 1 .json, 1 .pt, 1 .txt, 1 .yaml
  • Last updated 2026-01-29

ONNX files

File Size Download
fm_decoder.onnx — Download
fm_decoder_int8.onnx — Download
text_encoder.onnx — Download
text_encoder_int8.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

LuxTTS

Hugging Face Model   Colab Notebook

This is the model for LuxTTS, a lightweight zipvoice based text-to-speech model designed for high quality voice cloning and realistic generation at speeds exceeding 150x realtime.

Main features

  • Voice cloning: SOTA voice cloning on par with models 10x larger.
  • Clarity: Clear 48khz speech generation unlike most TTS models which are limited to 24khz.
  • Speed: Reaches speeds of 150x realtime on a single GPU and faster then realtime on CPU's as well.
  • Efficiency: Fits within 1gb vram meaning it can fit in any local gpu.

Details

  • Based on ZipVoice, distilled to 4steps.
  • Uses 48khz vocoder instead of 24khz vocoder.
  • Implemented higher quality sampling technique then standard euler.

Usage

Please check out the repo for usage: https://github.com/ysharma3501/LuxTTS.git

License

Model and code is released under Apache-2.0 license.

If you find the model/code helpful, stars or likes would be appreciated. Thank you.

Model info

onnx text-to-speech en license:apache-2.0 region:us
↓ 0 ♥ 0

Created: 2026-01-29

Updated: 2026-01-29

View on Hugging Face

Files (11)

.gitattributes
README.md
config.json
fm_decoder.onnx ONNX
fm_decoder_int8.onnx ONNX
model.pt
text_encoder.onnx ONNX
text_encoder_int8.onnx ONNX
tokens.txt
vocoder/config.yaml
vocoder/vocos.bin

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