Advanced RVC Inference

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.

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Supported Vocoders

Vocoder	Description	Pitch Required
Default (HiFi-GAN NSF)	HiFi-GAN with Neural Sine Filter. Recommended for best compatibility.	Yes
BigVGAN	Snake activations with Anti-Aliasing. State-of-the-art audio quality.	Yes
MRF-HiFi-GAN	HiFi-GAN with Multi-Receptive Field fusion. Richer feature extraction.	Yes
RefineGAN	U-Net based vocoder with parallel residual blocks. High-fidelity spectral detail.	Yes

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Supported Optimizers

Optimizer	Category	Rating	Best For
AdamW	PyTorch Built-in	⭐⭐⭐⭐⭐	General-purpose, most reliable (default)
RAdam	PyTorch Built-in	⭐⭐⭐⭐	Warmup-free training, short training runs
AnyPrecisionAdamW	Mixed-Precision	⭐⭐⭐⭐	Bfloat16 training, long runs with Kahan summation
AdaBelief	Belief-Based	⭐⭐⭐	Better conditioned adaptive learning rates
AdaBeliefV2	Belief-Based	⭐⭐⭐	Stable deep training with AMSGrad + InverseSqrt scheduler
Ranger2020 🆕	Advanced	⭐⭐⭐⭐⭐	RAdam + Lookahead + Gradient Centralization
Prodigy 🆕	D-Adaptation	⭐⭐⭐⭐⭐	Automatic LR tuning (lr=1.0 works!)

🆕 Newly added from Codename RVC Fork v4

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Getting Started

1. Install

git clone https://github.com/ArkanDash/Advanced-RVC-Inference.git
cd Advanced-RVC-Inference
pip install -r requirements.txt

Or 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

2. Run

# 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.

3. CLI Usage

# 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

4. Google Colab

Notebook	Description
	Full Web UI
	CLI only — lightweight headless mode

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Terms of Use

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

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Credits

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

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License

This project is licensed under the MIT License — see the LICENSE file for details.