Mindket

Ultimate RVC

Newversion 1 · updated

Overview

A Gradio app from the Ultimate RVC project for voice conversion, source separation, feature extraction and training, which runs online or on your computer with Python 3.12.7.

Ultimate RVC is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • A web browser for the online Space
  • Python 3.12.7 on Windows, macOS or Linux for a local copy
  • The Python packages listed in requirements.txt
  • A supported GPU, if you want much faster processing than the online Space
Runs in
  • A web browser: open the Space's page on Hugging Face
  • Python 3.12.7 on Windows, macOS or Linux: run a copy of the Space
  • Google Colab: a notebook is offered for faster processing
Start with
pip install -U huggingface_hub
hf download JackismyShephard/ultimate-rvc --repo-type space --local-dir ultimate-rvc
cd ultimate-rvc

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

Ultimate RVC is a Gradio app from JackismyShephard, published as a Hugging Face Space under the name The Ultimate RVC Project. It covers voice conversion, source separation, feature extraction and training. The Space runs on cpu-basic hardware at Hugging Face, so heavy jobs are slow.

Who it suits

People who work with voice audio and want to try voice conversion or source separation, and developers who want the app's files to read or run themselves.

IndustryWho uses itHow they use itExample
Audio productionSound editorsRun voice conversion or source separation on audioSplitting a recording into its separate sources
Machine learningAudio developersUse the training and feature extraction functionsStarting a training run for a voice model
Software developmentGradio developersDownload the files and read app.pyStudying how a multi-function audio app is wired up

Skip the online Space if you need quick results, since heavy requests are handled one at a time on cpu-basic hardware.

Where to use it

Ultimate RVC runs in these places.

  • A web browser: open the Space's page on Hugging Face
  • Python 3.12.7 on Windows, macOS or Linux: run a copy of the Space
  • Google Colab: a notebook is offered for faster processing
Use caseWhoWhat they get back
Convert a voiceAudio usersAudio with its voice converted
Separate sourcesAudio editorsA recording split into its sources
Train a modelML developersA trained voice model, after a long run

How to set it up

Online use needs only a browser. A local copy needs a few things first.

  • A web browser for the online Space
  • Python 3.12.7 on Windows, macOS or Linux for a local copy
  • The Python packages listed in requirements.txt
  • A supported GPU, if you want much faster processing than the online Space
  1. Install the Hugging Face hub library with pip.
  2. Download the Space's files into a folder called ultimate-rvc.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses.
  5. Install the packages listed in requirements.txt.
  6. Start the app with Python.
pip install -U huggingface_hub
hf download JackismyShephard/ultimate-rvc --repo-type space --local-dir ultimate-rvc
cd ultimate-rvc
pip install gradio==5.49.1
pip install -r requirements.txt
python app.py

How to use it

Online, open the Space's page and start a job. Heavy requests wait in line, so you may sit behind other users. On your own computer, start the app from the folder with the command below.

python app.py
ToolWhat it does
Voice conversionChanges the voice in audio
Source separationSplits audio into its sources
Feature extractionPulls features out of audio
TrainingTrains a model, and takes the longest
python app.pyStarts the Gradio app from the main file

Example

You open the Space and start a voice conversion on an audio file. Because heavy requests are handled one at a time on cpu-basic hardware, you may wait behind other users before the result comes back.

For newcomers and experts

If you are new, open the Space's page and try the lightest job first. Training is the slowest, so leave it for a local copy on a GPU.

If you know the field, the Space is a front end that queues compute-heavy requests one at a time. A local copy with a supported GPU, or the Colab notebook, gives much faster processing. The repository is tiny, with an app file and a requirements list, and a local copy pins Gradio 5.49.1.

  1. Open the Space or run app.py
  2. Start a job in the app
  3. Heavy requests queue one at a time
  4. The result comes back

Good to know

Your Hugging Face account and plan decide if you can copy this Space and what hardware you can give it.

  • Version: Gradio 5.49.1 and Python 3.12.7
  • Hardware: cpu-basic at Hugging Face
  • Size: 4 files in the repository
  • License: MIT
  • Cost to run: none named
  • Data it reaches: the audio you give it
  • Not for: quick results on the online Space, since heavy jobs queue on CPU hardware

README and files

README

Ultimate RVC

A Gradio app from the Ultimate RVC project for voice conversion, source separation, feature extraction and training, which runs online or on your computer with Python 3.12.7.

Made by JackismyShephard 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: Ultimate RVC is a Gradio app from JackismyShephard, published as a Hugging Face Space under the name The Ultimate RVC Project. It covers voice conversion, source separation, feature extraction and training. The Space runs on cpu-basic hardware at Hugging Face, so heavy jobs are slow.

Who it suits: People who work with voice audio and want to try voice conversion or source separation, and developers who want the app's files to read or run themselves.

Industry | Who uses it | How they use it | Example
Audio production | Sound editors | Run voice conversion or source separation on audio | Splitting a recording into its separate sources
Machine learning | Audio developers | Use the training and feature extraction functions | Starting a training run for a voice model
Software development | Gradio developers | Download the files and read app.py | Studying how a multi-function audio app is wired up

Skip the online Space if you need quick results, since heavy requests are handled one at a time on cpu-basic hardware.

Where to use it: Ultimate RVC runs in these places.

  • A web browser: open the Space's page on Hugging Face
  • Python 3.12.7 on Windows, macOS or Linux: run a copy of the Space
  • Google Colab: a notebook is offered for faster processing
Use case | Who | What they get back
Convert a voice | Audio users | Audio with its voice converted
Separate sources | Audio editors | A recording split into its sources
Train a model | ML developers | A trained voice model, after a long run

How to set it up: Online use needs only a browser. A local copy needs a few things first.

  • A web browser for the online Space
  • Python 3.12.7 on Windows, macOS or Linux for a local copy
  • The Python packages listed in requirements.txt
  • A supported GPU, if you want much faster processing than the online Space
  1. Install the Hugging Face hub library with pip.
  2. Download the Space's files into a folder called ultimate-rvc.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses.
  5. Install the packages listed in requirements.txt.
  6. Start the app with Python.
pip install -U huggingface_hub
hf download JackismyShephard/ultimate-rvc --repo-type space --local-dir ultimate-rvc
cd ultimate-rvc
pip install gradio==5.49.1
pip install -r requirements.txt
python app.py

How to use it: Online, open the Space's page and start a job. Heavy requests wait in line, so you may sit behind other users. On your own computer, start the app from the folder with the command below.

python app.py
Tool | What it does
Voice conversion | Changes the voice in audio
Source separation | Splits audio into its sources
Feature extraction | Pulls features out of audio
Training | Trains a model, and takes the longest
python app.py | Starts the Gradio app from the main file

Example: You open the Space and start a voice conversion on an audio file. Because heavy requests are handled one at a time on cpu-basic hardware, you may wait behind other users before the result comes back.

For newcomers and experts: If you are new, open the Space's page and try the lightest job first. Training is the slowest, so leave it for a local copy on a GPU.

If you know the field, the Space is a front end that queues compute-heavy requests one at a time. A local copy with a supported GPU, or the Colab notebook, gives much faster processing. The repository is tiny, with an app file and a requirements list, and a local copy pins Gradio 5.49.1.

Open the Space or run app.py
Start a job in the app
Heavy requests queue one at a time
The result comes back

Good to know: Your Hugging Face account and plan decide if you can copy this Space and what hardware you can give it.

  • Version: Gradio 5.49.1 and Python 3.12.7
  • Hardware: cpu-basic at Hugging Face
  • Size: 4 files in the repository
  • License: MIT
  • Cost to run: none named
  • Data it reaches: the audio you give it
  • Not for: quick results on the online Space, since heavy jobs queue on CPU hardware

On Hugging Face, 13 November 2026

  • Likes: 217
  • Built with: gradio
  • License: mit

Links

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.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

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Ultimate RVC This page217gradiomit
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Chat With Janus-Pro-7BShares gradio2,036gradiomit
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Numbers as Mindket last read them, on 2026-11-12.

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