A state-of-the-art web UI crafted to streamline rapid and effortless RVC inference — featuring a model downloader, voice splitter, batch inference, training pipeline, real-time conversion, and a full CLI.
Note
If you want to use old version switch to v1 branch.
git clone https://github.com/ArkanDash/Advanced-RVC-Inference.git
cd Advanced-RVC-Inference
pip install -r requirements.txtOr install from PyPI:
pip install git+https://github.com/ArkanDash/Advanced-RVC-Inference.git
GPU Support (CUDA)
pip install git+https://github.com/ArkanDash/Advanced-RVC-Inference.git pip install onnxruntime-gpu
ZLUDA (AMD GPU)
ZLUDA allows CUDA applications to run on AMD GPUs. Just install PyTorch with ZLUDA support — Advanced RVC will auto-detect and configure itself.
# Follow the ZLUDA installation guide for your AMD GPU # Then install Advanced RVC normally — ZLUDA is auto-detected pip install git+https://github.com/ArkanDash/Advanced-RVC-Inference.git
# Launch the web UI rvc-gui # Or via Python module python -m arvc.app.gui # With a public share link python -m arvc.app.gui --share
The interface will be available at http://localhost:7860.
# Voice conversion rvc-cli infer -m model.pth -i input.wav -o output.wav # Audio separation rvc-cli uvr -i song.mp3 # Show all commands rvc-cli --help
| Notebook | Description |
|---|---|
| Full Web UI | |
| CLI only — lightweight headless mode |
The use of the converted voice for the following purposes is strictly prohibited:
- Criticizing or attacking individuals
- Advocating for or opposing specific political positions, religions, or ideologies
- Publicly displaying strongly stimulating expressions without proper zoning
- Selling of voice models and generated voice clips
- Impersonation of the original owner of the voice with malicious intentions
- Fraudulent purposes that lead to identity theft or fraudulent phone calls
This project builds upon the work of many open-source projects and contributors.
- RVC
- Vietnamese-RVC
- PolTrain
- Applio
- Codename RVC Fork 4 (Private)
- python-audio-separator
- whisper
- BigVGAN
- ZLUDA
- bitsandbytes
This project is licensed under the MIT License — see the LICENSE file for details.