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@ -65,7 +65,7 @@
```bash
conda create -n GPTSoVits python=3.10
conda activate GPTSoVits
bash install.sh --device <CU124|CU128|ROCM|CPU> --source <HF|HF-Mirror|ModelScope> [--download-uvr5]
bash install.sh --device <CU126|CU128|ROCM|CPU> --source <HF|HF-Mirror|ModelScope> [--download-uvr5]
```
### macOS
@ -144,13 +144,13 @@ brew install ffmpeg
`docker-compose.yaml` 文件定义了两个主要服务类型：
- `GPT-SoVITS-CU124` 与 `GPT-SoVITS-CU128`：完整版, 包含所有功能
- `GPT-SoVITS-CU124-Lite` 与 `GPT-SoVITS-CU128-Lite`：轻量版, 依赖更少, 功能略有删减
- `GPT-SoVITS-CU126` 与 `GPT-SoVITS-CU128`：完整版, 包含所有功能
- `GPT-SoVITS-CU126-Lite` 与 `GPT-SoVITS-CU128-Lite`：轻量版, 依赖更少, 功能略有删减
如需使用 Docker Compose 运行指定服务, 请执行：
```bash
docker compose run --service-ports <GPT-SoVITS-CU124-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU124|GPT-SoVITS-CU128>
docker compose run --service-ports <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GPT-SoVITS-CU128>
```
#### 本地构建 Docker 镜像
@ -158,7 +158,7 @@ docker compose run --service-ports <GPT-SoVITS-CU124-Lite|GPT-SoVITS-CU128-Lite|
如果你希望自行构建镜像, 请使用以下命令：
```bash
bash docker_build.sh --cuda <12.4|12.8> [--lite]
bash docker_build.sh --cuda <12.6|12.8> [--lite]
```
#### 访问运行中的容器 (Bash Shell)
@ -166,7 +166,7 @@ bash docker_build.sh --cuda <12.4|12.8> [--lite]
当容器在后台运行时, 你可以通过以下命令进入容器：
```bash
docker exec -it <GPT-SoVITS-CU124-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU124|GPT-SoVITS-CU128> bash
docker exec -it <GPT-SoVITS-CU126-Lite|GPT-SoVITS-CU128-Lite|GPT-SoVITS-CU126|GPT-SoVITS-CU128> bash
```
## 预训练模型