---
license: apache-2.0
tags:
  - text-to-speech
  - tts
  - voice-cloning
  - omnivoice
  - safetensors
  - maestraea
language:
  - multilingual
pipeline_tag: text-to-speech
base_model: k2-fsa/OmniVoice
---

# OmniVoice (Mæstræa Mirror)

**Multi-Lingual TTS & Voice Cloning — 600+ Languages**

[Original Model](https://huggingface.co/k2-fsa/OmniVoice) by [k2-fsa (Next-gen Kaldi)](https://github.com/k2-fsa) · Apache 2.0

> This is a mirror of the OmniVoice model weights for use with [Mæstræa AI Workstation](https://github.com/AEmotionStudio/Maestraea). All credits go to the original authors.

## What's in This Repo

| Path | Description | Size |
|------|-------------|------|
| `model.safetensors` | Main OmniVoice model | ~3 GB |
| `audio_tokenizer/model.safetensors` | Audio tokenizer | ~260 MB |
| `tokenizer.json` | Text tokenizer | ~17 MB |
| `config.json` | Model configuration | < 1 KB |

## What OmniVoice Does

OmniVoice is a multi-lingual TTS and voice cloning model supporting 600+ languages with near real-time inference (RTF ~0.025). It supports three modes:

- **Auto Voice** — Generate speech from text with a default voice
- **Voice Cloning** — Clone any voice from a 3–15s reference audio sample
- **Voice Design** — Describe the desired voice characteristics in text

### Key Features

- 600+ language support
- Near real-time inference
- Long-form text auto-chunking for constant VRAM usage
- ~3–8 GB VRAM depending on mode

## Usage with Mæstræa

These models are automatically downloaded by the Mæstræa AI Workstation backend. They can also be loaded manually:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("AEmotionStudio/omnivoice-models")
tokenizer = AutoTokenizer.from_pretrained("AEmotionStudio/omnivoice-models")
```

## License

Apache 2.0 — same as the original OmniVoice release.

## Credits

- **Model**: [k2-fsa/OmniVoice](https://github.com/k2-fsa/OmniVoice)
- **Paper**: See original repo for citation
- **Mirror by**: [AEmotionStudio](https://huggingface.co/AEmotionStudio)