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Fix Non-functional Project: Add Multi-source Pretrained Model and UVR5 Download, Enable , Colab Compatibility, and FastAPI Optimization (#2300)

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* Replace the outdated link and pin dependencies

* Update Colab

* Add Docs

* .

* Update Install.sh, Support multi download source

* .

* modified path

* Add source

* Update URL

* fix bugs

* fix bug

* fix bugs

* Fix colab

* update colab

* Update Docs

* update links
This commit is contained in:
XXXXRT666
2025-04-19 17:56:42 +01:00
committed by GitHub
parent c0b46314ca
commit b43ae64a1e
8 changed files with 208 additions and 111 deletions
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14
docs/cn/README.md
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@@ -64,7 +64,7 @@ https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-
```bash
conda create -n GPTSoVits python=3.9
conda activate GPTSoVits
bash install.sh
bash install.sh --source <HF|HF-Mirror|ModelScope> [--download-uvr5]
```
### macOS
@@ -72,14 +72,12 @@ bash install.sh
**注: 在 Mac 上使用 GPU 训练的模型效果显著低于其他设备训练的模型, 所以我们暂时使用 CPU 进行训练.**
1. 运行 `xcode-select --install` 安装 Xcode command-line tools.
2. 运行 `brew install ffmpeg` 安装 FFmpeg.
3. 完成上述步骤后, 运行以下的命令来安装本项目:
2. 运行以下的命令来安装本项目:
```bash
conda create -n GPTSoVits python=3.9
conda activate GPTSoVits
pip install -r extra-req.txt --no-deps
pip install -r requirements.txt
bash install.sh --source <HF|HF-Mirror|ModelScope> [--download-uvr5]
```
### 手动安装
@@ -148,13 +146,13 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
## 预训练模型
**若成功运行`install.sh`可跳过 No.1**
**若成功运行`install.sh`可跳过 No.1,2,3**
**中国地区的用户可以[在此处下载这些模型](https://www.yuque.com/baicaigongchang1145haoyuangong/ib3g1e/dkxgpiy9zb96hob4#nVNhX).**
1. 从 [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 下载预训练模型, 并将其放置在 `GPT_SoVITS/pretrained_models` 目录中.
2. 从 [G2PWModel_1.1.zip](https://paddlespeech.cdn.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip) 下载模型, 解压并重命名为 `G2PWModel`, 然后将其放置在 `GPT_SoVITS/text` 目录中. (仅限中文 TTS)
2. 从 [G2PWModel.zip(HF)](https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip)| [G2PWModel.zip(ModelScope)](https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip) 下载模型, 解压并重命名为 `G2PWModel`, 然后将其放置在 `GPT_SoVITS/text` 目录中. (仅限中文 TTS)
3. 对于 UVR5 (人声/伴奏分离和混响移除, 额外功能), 从 [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) 下载模型, 并将其放置在 `tools/uvr5/uvr5_weights` 目录中.
@@ -264,7 +262,7 @@ python webui.py
3. 需要从[huggingface](https://huggingface.co/lj1995/GPT-SoVITS/tree/main/gsv-v2final-pretrained) 下载预训练模型文件放到 GPT_SoVITS\pretrained_models\gsv-v2final-pretrained 下
中文额外需要下载[G2PWModel_1.1.zip](https://paddlespeech.cdn.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)
中文额外需要下载[G2PWModel.zip(HF)](https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/G2PWModel.zip)| [G2PWModel.zip(ModelScope)](https://www.modelscope.cn/models/XXXXRT/GPT-SoVITS-Pretrained/resolve/master/G2PWModel.zip) (下载 G2PW 模型,解压并重命名为`G2PWModel`,将其放到`GPT_SoVITS/text`目录下)
## V3 更新说明