Bert-VITS2-Audio-Generator

GUI TTS application based on:

Bert-VITS2 (https://github.com/fishaudio/Bert-VITS2)

PyQt-Fluent-Widgets (https://github.com/zhiyiYo/PyQt-Fluent-Widgets)

Update

• Version 1.1 is released

  Download app_v11.exe

  Replace the original app.exe by app_v11.exe

  以app_v11.exe取代原有的app.exe

If multi-speaker model is used, please configure n_speaker and spk2id in configs/config.json

如果使用多人模型，請先到configs/config.json修改n_speaker和spk2id

Install

• Bert-VITS2-Audio-Generator.zip

  Download Here (Google Drive)

  Download Here (百度網盤/提取碼︰dx37)

Suitable for who knows nothing about the deployment of Bert-VITS2

Download, Extract, Run app.exe

適合對Bert-VITS2部署一無所知的朋友

下載，解壓，運行app.exe

• Bert-VITS2-Audio-Generator_withoutLargeModelFiles.zip

  Download Here

Large model files:

bert/chinese-roberta-wwm-ext-large/pytorch_model.bin: Download Link

bert/deberta-v2-large-japanese/pytorch_model.bin: Download Link

bert/deberta-v3-large/pytorch_model.bin: Download Link

Suitable for who has already deployed Bert-VITS2 locally

Move the pytorch_model.bin files to correct places, then Run app.exe

(Note that NOT to rename the .bin files and DO NOT mix them up)

適合已經本地部署Bert-VITS2的朋友

將以上幾個pytorch_model.bin文件放到正確的位置，然後運行app.exe

(注意請不要更改文件名字，也不要把它們弄混)

The location of bert:

• Source Code

  Download as zip

Suitable for who is familiar with Python

You have to download the large model files listed above

requirements.txt is provided

Run app.py

適合熟悉Python的朋友

需要自行下載上面所列的幾個模型文件

已提供requirements.txt

運行app.py