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blue
notmax123/blue
blue is a text-to-speech model from notmax123. Use it when you need text read aloud. The card lists the license as mit.
This repository contains Safetensors / PyTorch checkpoints and multilingual latent statistics for BlueTTS — Hebrew-first multilingual text-to-speech with optional English, Spanish, Italian, German, and mixed-language…
Access
Public
Updated Apr 24, 2026
Repo size
953 MB
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1
Public
Repo makeup
Click a slice to open those files.
.pt526 MB · 55%
At a glance
- Task
- Text-to-Speech
- License
- mit
- Access
- Public
- Created
- Apr 11, 2026
- Updated
- Apr 24, 2026
- SHA
- 78fa4505
Model card
From the Hugging Face model README
Blue — PyTorch weights (training, finetuning & voice export)
This repository contains Safetensors / PyTorch checkpoints and multilingual latent statistics for BlueTTS — Hebrew-first multilingual text-to-speech with optional English, Spanish, Italian, German, and mixed-language synthesis in the reference code.
Project home (install, ONNX inference, examples): https://github.com/maxmelichov/BlueTTS
Live ONNX demo (browser): Hugging Face Space — notmax123/Blue
End-user synthesis: Use the ONNX model bundle
notmax123/blue-onnxwith the BlueTTS README. Thisnotmax123/bluerepo supplies training / finetuning weights and files needed to export new voice style JSON for ONNX; it is not the ONNX runtime bundle.
Files
| File | Role |
|---|---|
blue_codec.safetensors | Audio codec: mel ↔ latent, discrete/continuous conversion. |
stats_multilingual.pt | Latent mean/std for normalization (same statistics as training). |
vf_estimator.safetensors | Text-to-latent acoustic model (text encoder, reference encoder, flow-matching core). |
duration_predictor.safetensors | Duration predictor checkpoint. |
Download
Repo id is case-sensitive — use notmax123/blue (not Blue).
hf download notmax123/blue --repo-type model --local-dir ./pt_weights
Equivalent with the classic CLI:
huggingface-cli download notmax123/blue --repo-type model --local-dir ./pt_weights
How to use
-
Training or finetuning: Follow the training directory in the BlueTTS GitHub repository.
-
New voices for ONNX inference: Clone BlueTTS, install with the
exportextra, download these weights locally, and runscripts/export_new_voice.py(see script docstring and project README).
License
MIT — see the BlueTTS repository for the full license text.
- Task
- Text-to-Speech
- License
- mit
- Languages
- multilingual
- Created
- Apr 11, 2026
- Updated
- Apr 24, 2026