@ -5,7 +5,9 @@
[](https://github.com/RVC-Boss/GPT-SoVITS)
< img src = "https://counter.seku.su/cmoe?name=gptsovits&theme=r34" / > < br >
< a href = "https://trendshift.io/repositories/7033" target = "_blank" > < img src = "https://trendshift.io/api/badge/repositories/7033" alt = "RVC-Boss%2FGPT-SoVITS | Trendshift" style = "width: 250px; height: 55px;" width = "250" height = "55" / > < / a >
<!-- img src="https://counter.seku.su/cmoe?name=gptsovits&theme=r34" /><br> -->
[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/colab_webui.ipynb)
[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
@ -260,6 +262,19 @@ python webui.py
中文额外需要下载[G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip)( 下载G2PW模型,解压并重命名为`G2PWModel`,将其放到`GPT_SoVITS/text`目录下)
从v2环境迁移至v3
Use v3 from v2 environment:
1. 需要pip安装requirements.txt更新环境
2. 需要克隆github上的最新代码
3. 从[huggingface](https://huggingface.co/lj1995/GPT-SoVITS/tree/main)下载这些v3新增预训练模型 (s1v3.ckpt, s2Gv3.pth and models--nvidia--bigvgan_v2_24khz_100band_256x folder)将他们放到`GPT_SoVITS\pretrained_models`目录下
如果想用音频超分功能缓解v3模型生成24k音频觉得闷的问题, 需要下载额外的模型参数, 参考[how to download](./tools/AP_BWE_main/24kto48k/readme.txt)
## 待办事项清单
- [x] ** 高优先级:**