notmax123/LightBlue
By notmax123 · ↓ 0 · ♥ 0 · Updated 2026-03-02
What's in this repo
This page lists the files in notmax123/LightBlue, including backbone.onnx, backbone_keys.onnx, length_pred.onnx and more.
- 7 ONNX models (.onnx files)
- 13 files, including 7 .onnx, 2 .npz, 2 .json, 1 .md
- Last updated 2026-03-02
ONNX files
| File | Size | Download |
|---|---|---|
| backbone.onnx | — | Download |
| backbone_keys.onnx | — | Download |
| length_pred.onnx | — | Download |
| length_pred_style.onnx | — | Download |
| reference_encoder.onnx | — | Download |
| text_encoder.onnx | — | Download |
| vocoder.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
LightBlue TTS 🇮🇱
Model Description
LightBlue is a state-of-the-art, lightning-fast Text-to-Speech (TTS) model built from scratch specifically for Hebrew (with English support). It is designed to produce 100% native Israeli-sounding speech with perfect handling of Nikud (vowels) and complex homographs, without compromising on inference speed.
It is fast enough to generate an entire 1-hour audiobook in just 3 seconds on a modern GPU.
- Developer: LightBlue TTS
- Language(s): Hebrew (Primary), English
- Model Type: Text-to-Speech (TTS)
- Demo & Website: https://lightbluetts.com/
- GitHub Repository: https://github.com/maxmelichov/Light-BlueTTS
Key Features
- Blazing Fast Inference:
- 1260x real-time on an NVIDIA RTX 3090 (21 minutes of audio generated per second).
- 35x real-time on standard CPUs.
- 20x real-time on Apple M1 chips.
- Native Hebrew Quality: Features a real Israeli accent, correct stress placements, and native-level flow.
- Advanced Contextual Understanding: Passes the "Homograph Test" (e.g., correctly distinguishing between צפה as "watched" vs "floated", or תרד as "spinach" vs "go down").
- Multiple Voices: Includes high-quality voices like Yonatan (Hebrew only) and Rotem.
Uses
Direct Use
- Generating high-quality Hebrew audio from text.
- Real-time TTS applications running on standard CPUs or edge devices.
- Audiobooks, accessibility tools, virtual assistants, and automated broadcasting.
Speed Benchmarks
LightBlue is optimized for extreme speed without sacrificing naturalness:
| Hardware | Speed | Time for 1 Hour of Audio |
|---|---|---|
| NVIDIA RTX 3090 | 1260x real-time | ~3 seconds |
| Standard CPU | 35x real-time | ~1.7 minutes |
| Apple M1 | 20x real-time | ~3 minutes |
How to Get Started
To use this model, you can clone the official GitHub repository and install the requirements:
Model info
Created: 2026-02-28
Updated: 2026-03-02
View on Hugging Face