metadata
license: mit
language:
- ru
library_name: phoonnx
pipeline_tag: text-to-speech
tags:
- tts
- vits2
- onnx
- phoonnx
- offline
phoonnx-vits2
Mirror of VITS2 text-to-speech checkpoints exported to ONNX for phoonnx, OpenVoiceOS's offline TTS library. VITS2 is a single-stage TTS architecture, an evolution of VITS that improves naturalness and inference speed through adversarial duration modeling and a monotonic alignment search transformer.
This repository holds the raw ONNX weights and config.json files consumed
by phoonnx's voice_index; it is not meant to be browsed for voices
directly — use phoonnx's voice manager, which resolves voice IDs to the
files here.
Contents
| Directory | Voice ID | Language | Source |
|---|---|---|---|
frappuccino-ru-natasha/ |
frappuccino/vits2-ru-natasha |
Russian (ru) |
frappuccino/vits2_ru_natasha, trained on the Natasha dataset, shared by LangSwap.app |
Usage
import wave
from phoonnx.model_manager import TTSModelManager
manager = TTSModelManager()
manager.load()
manager.merge_default_voices()
voice = manager.voices["frappuccino/vits2-ru-natasha"].load()
with wave.open("out.wav", "wb") as wav_file:
voice.synthesize_wav("Привет, как дела?", wav_file)
License
The frappuccino-ru-natasha checkpoint is released by its author under the
MIT license. The VITS2 architecture and training code (p0p4k/vits2_pytorch)
are also MIT licensed. phoonnx itself is Apache-2.0.