RVC⚡ZERO

RVC⚡ZERO

A voice conversion demo based on VITS, run from your browser. It ships a sample voice model, example audio and a HuBERT base model. Suits audio hobbyists and developers exploring voice conversion.

Made by r3gm on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a browser demo of voice conversion built on VITS. Voice conversion changes how a recording sounds so it matches a different voice while the words stay the same. The repository ships a sample voice model, example audio files and a test recording, and the page runs on Hugging Face hardware.

Who it suits: It suits audio hobbyists and developers who want to try voice conversion without setting up a toolchain, and people who want to read a compact app around the technique.

Industry | Who uses it | How they use it | Example
Music and audio | Hobbyists | Convert a recording to a different voice | Try the bundled test recording
Media | Video creators | Test voice changes on a short clip | Convert a short spoken line
Software | Developers | Read an app that wraps a voice conversion model | Open app.py in the repository
Research | Speech researchers | Compare voice models on the same input | Run one clip through different models

You can skip it if you need documented controls or a hosted service, since the README holds only a one-line description.

Where to use it:

• A web browser: open the Space page on Hugging Face
• Windows, macOS or Linux: run a copy with Python 3.12

Use case | Who | What they get back
Convert a recording | Hobbyists | Audio in the voice of the chosen model
Try the sample files | Newcomers | Results from the bundled examples
Run your own copy | Developers | The same app on your own computer

How to set it up: The online page needs nothing. A local copy needs Python 3.12 and a few installs.

• A web browser for the online demo
• Python 3.12 for a local copy
• The Python packages listed in requirements.txt
• The system packages listed in packages.txt, installed with apt-get on Linux

1. To use it online, open the Space page on Hugging Face.
2. To run a copy, install the Hugging Face hub package.
3. Download the Space into a local folder.
4. Move into the folder and install Gradio 6.26.0 and the listed packages.
5. Start the app.

pip install -U huggingface_hub
hf download r3gm/rvc_zero --repo-type space --local-dir rvc_zero
cd rvc_zero
pip install gradio==6.26.0
pip install -r requirements.txt
python app.py

How to use it: Start the app from its folder, or open the Space online. Add an audio recording, choose a voice model and run the conversion. The repository includes example audio you can try first.

python app.py

Example: You load the bundled test recording, pick the sample voice model and run the conversion. The page returns the same recording sounding like the chosen voice, and you can play both to compare.

For newcomers and experts: If you are new to this, begin with the included example audio so you can hear the effect before using your own recording. Use a clean recording with one speaker.

If you know the field, the framework is based on VITS and names a HuBERT base model plus several voice models. The repository holds a model file, an index file and the app. The hosted Space runs on Hugging Face's zero-a10g hardware.

You add a recording
You choose a voice model
The app converts the voice
You play the result

Good to know: The README is one line, so the page and app.py hold the real details. Converting someone's voice without their consent can cause harm, so use only voices you have the right to use.

• License: MIT
• Cost to run: none named
• Data it reaches: the audio files you give it

On Hugging Face, 13 November 2026

• Likes: 348
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/r3gm/rvc_zero
• Files: https://huggingface.co/spaces/r3gm/rvc_zero/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.