sbv2-api-lite

Ultra instant compatible API for Style-Bert-VITS2 - You'll have it running before your morning coffee is ready! ☕️

🚀 Quick start

1. Clone this repo

   git clone https://github.com/uezo/sbv2-api-lite
   cd sbv2-api-lite

2. Install dependencies

   pip install -r requirements.txt
   
   # If you use GPU, reinstall PyTorch that matches the CUDA version of your environment.
   pip uninstall torch torchvision torchaudio
   pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124   # for CUDA 12.4

3. Start the API server

   uvicorn run:app --host 0.0.0.0 --port 5000

Now go to http://127.0.0.1:5000/docs . Upload yoru model file and enjoy high quality TTS🥳

📦　Run on RunPod

Set the following command as the Container Start Command in your Pod console, then start the Pod to execute the process. Once complete, stop the Pod in the same order.

1. Set up the repository in the workspace

   git clone https://github.com/uezo/sbv2-api-lite /workspace/sbv2-api-lite

2. Create the runtime environment and install dependencies

   bash /workspace/sbv2-api-lite/runpod_install.sh

3. Set up the API server to launch at startup

   bash /workspace/sbv2-api-lite/runpod_start.sh

   Add the following environment variables with the value true:

   SBV2_API_LITE_USE_GPU
   SBV2_API_LITE_VERBOSE
   

   If you want to use compressed audio, add the variable with the value ffmpeg-static/ffmpeg:

   SBV2_API_LITE_FFMPEG_PATH
   

4. Click Connect to HTTP Service [Port 5000]

   Click Connect to HTTP Service [Port 5000] button and head over to /docs to see the OpenAPI interface.

Upload model file with GPU=True. Enjoy high quality TTS🥳

Note: You only need to configure this setup once. After that, just start the Pod, and the API server will automatically launch.