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@ -65,7 +65,7 @@ If you are a Windows user (tested with win>=10), you can [download the integrate
```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 @@ On Windows (Docker Desktop), the default shared memory size is small and may cau
The `docker-compose.yaml` defines two services:
- `GPT-SoVITS-CU124` & `GPT-SoVITS-CU128`: Full version with all features.
- `GPT-SoVITS-CU124-Lite` & `GPT-SoVITS-CU128-Lite`: Lightweight version with reduced dependencies and functionality.
- `GPT-SoVITS-CU126` & `GPT-SoVITS-CU128`: Full version with all features.
- `GPT-SoVITS-CU126-Lite` & `GPT-SoVITS-CU128-Lite`: Lightweight version with reduced dependencies and functionality.
To run a specific service with Docker Compose, use:
```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>
```
#### Building the Docker Image Locally
@ -158,7 +158,7 @@ docker compose run --service-ports <GPT-SoVITS-CU124-Lite|GPT-SoVITS-CU128-Lite|
If you want to build the image yourself, use:
```bash
bash docker_build.sh --cuda <12.4|12.8> [--lite]
bash docker_build.sh --cuda <12.6|12.8> [--lite]
```
#### Accessing the Running Container (Bash Shell)
@ -166,7 +166,7 @@ bash docker_build.sh --cuda <12.4|12.8> [--lite]
Once the container is running in the background, you can access it using:
```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
```
## Pretrained Models