Mindket

AICoverGen

Newversion 1 · updated

Overview

A Gradio app for making AI song covers with voice conversion models. Runs in your browser on Hugging Face, or on your own computer with Python 3.12.

AICoverGen is a kit in the Productivity 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
  • Python 3.12 on Windows, macOS or Linux
  • The pip command
  • The system packages listed in packages.txt, which Hugging Face installs with apt-get
  • Room on disk for the voice models
Runs in
  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python 3.12
  • Hugging Face's zero-a10g hardware, where the online Space runs
Start with
pip install -U huggingface_hub
hf download r3gm/AICoverGen --repo-type space --local-dir AICoverGen
cd AICoverGen

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

AICoverGen is a Gradio app for making AI covers of songs. Judging by its name and its folders for voice models, vocal models and song output, it swaps the voice in a song for a voice from a conversion model.

The Space names voice conversion models, including a Hubert base model and several voice packs. The source gives no step-by-step guide beyond that.

Who it suits

It suits hobbyist musicians and curious listeners who want to hear a song in another voice, and developers who want to read how a voice conversion demo is put together.

IndustryWho uses itHow they use itExample
MusicHobby musiciansTry a voice model on a song they ownHearing a demo track in a different voice
Content creationVideo makersMake a cover for a personal projectPreparing a clip with a changed vocal
AI developmentDevelopersRead app.py and the src folderLearning how a voice conversion app is organised
EducationStudentsOpen the page and see how voice conversion worksComparing the sound of two voice models

Skip it if you plan to copy a real person's voice without their permission, since that is not a use this page is meant for.

Where to use it

The app runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python 3.12
  • Hugging Face's zero-a10g hardware, where the online Space runs
Use caseWhoWhat they get back
Make a cover onlineHobby musiciansA converted song from the browser page
Try different voice modelsCreatorsCovers to compare by ear
Study the appDevelopersA repository with src, rvc_models and mdxnet_models folders

How to set it up

Online you only need a browser. A local copy needs these.

  • Python 3.12 on Windows, macOS or Linux
  • The pip command
  • The system packages listed in packages.txt, which Hugging Face installs with apt-get
  • Room on disk for the voice models
  1. Install the huggingface_hub package.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install gradio at version 6.20.0.
  5. Install the packages listed in requirements.txt.
  6. Start the app with python app.py.
pip install -U huggingface_hub
hf download r3gm/AICoverGen --repo-type space --local-dir AICoverGen
cd AICoverGen
pip install gradio==6.20.0
pip install -r requirements.txt
python app.py

How to use it

Open the Space's page, or run the command below in your copy and open the page the app serves. Then choose a song and a voice model and run it.

python app.py

Example

You open the Space, pick a song and one of the voice models, and run it. The app produces a cover in the new voice, and the repository keeps finished tracks in a song_output folder.

For newcomers and experts

If you are new, open the Space's page and try a short clip first. A short test shows you how a voice model sounds before you spend time on a full track.

If you know the field, the repository holds rvc_models and mdxnet_models folders, a src folder and an images folder, in 37 files. It names the RVC voice conversion project and a Hubert base model. Online it runs on zero-a10g hardware with Gradio 6.20.0.

  1. Open the Space page or run app.py
  2. Choose a song and a voice model
  3. The app converts the vocals
  4. The cover shows on the same page

Good to know

Hugging Face lists the Space with a Gradio tag. Check that you may use both a song and a voice before you share a cover.

  • License: MIT
  • Cost to run: none named
  • Data it reaches: only the model repositories it names. The source says nothing else.

README and files

README

AICoverGen

A Gradio app for making AI song covers with voice conversion models. Runs in your browser on Hugging Face, or on your own computer with Python 3.12.

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: AICoverGen is a Gradio app for making AI covers of songs. Judging by its name and its folders for voice models, vocal models and song output, it swaps the voice in a song for a voice from a conversion model.

The Space names voice conversion models, including a Hubert base model and several voice packs. The source gives no step-by-step guide beyond that.

Who it suits: It suits hobbyist musicians and curious listeners who want to hear a song in another voice, and developers who want to read how a voice conversion demo is put together.

Industry | Who uses it | How they use it | Example
Music | Hobby musicians | Try a voice model on a song they own | Hearing a demo track in a different voice
Content creation | Video makers | Make a cover for a personal project | Preparing a clip with a changed vocal
AI development | Developers | Read app.py and the src folder | Learning how a voice conversion app is organised
Education | Students | Open the page and see how voice conversion works | Comparing the sound of two voice models

Skip it if you plan to copy a real person's voice without their permission, since that is not a use this page is meant for.

Where to use it: The app runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python 3.12
  • Hugging Face's zero-a10g hardware, where the online Space runs
Use case | Who | What they get back
Make a cover online | Hobby musicians | A converted song from the browser page
Try different voice models | Creators | Covers to compare by ear
Study the app | Developers | A repository with src, rvc_models and mdxnet_models folders

How to set it up: Online you only need a browser. A local copy needs these.

  • Python 3.12 on Windows, macOS or Linux
  • The pip command
  • The system packages listed in packages.txt, which Hugging Face installs with apt-get
  • Room on disk for the voice models
  1. Install the huggingface_hub package.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install gradio at version 6.20.0.
  5. Install the packages listed in requirements.txt.
  6. Start the app with python app.py.
pip install -U huggingface_hub
hf download r3gm/AICoverGen --repo-type space --local-dir AICoverGen
cd AICoverGen
pip install gradio==6.20.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space's page, or run the command below in your copy and open the page the app serves. Then choose a song and a voice model and run it.

python app.py

Example: You open the Space, pick a song and one of the voice models, and run it. The app produces a cover in the new voice, and the repository keeps finished tracks in a song_output folder.

For newcomers and experts: If you are new, open the Space's page and try a short clip first. A short test shows you how a voice model sounds before you spend time on a full track.

If you know the field, the repository holds rvc_models and mdxnet_models folders, a src folder and an images folder, in 37 files. It names the RVC voice conversion project and a Hubert base model. Online it runs on zero-a10g hardware with Gradio 6.20.0.

Open the Space page or run app.py
Choose a song and a voice model
The app converts the vocals
The cover shows on the same page

Good to know: Hugging Face lists the Space with a Gradio tag. Check that you may use both a song and a voice before you share a cover.

  • License: MIT
  • Cost to run: none named
  • Data it reaches: only the model repositories it names. The source says nothing else.

On Hugging Face, 15 November 2026

  • Likes: 542
  • 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  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-15

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
AICoverGen This page542gradiomit
FLUX.1 [Schnell]Shares gradio5,162gradiomit
MusicGenShares gradio5,116gradiocc-by-nc-4.0
Kokoro TTSShares gradio3,556gradioapache-2.0
Background RemovalShares gradio2,988gradiomit
Omni Image EditorShares gradio2,922gradiomit
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-15.

Reviews

No ratings yet

Write a review

No reviews yet.

More from Mindket

See all from Mindket

Turns text into vectors for search, clustering and question answering on phones and laptops. A 270M text-only EmbeddingGemma 2 build packaged for LiteRT-LM, co…

New

TIPSv2 B/14

google · Kit

Turns images and text into matching embeddings, with spatial patch features, for zero-shot image classification. Google's Base variant of TIPSv2, for vision re…

New

Runs DeepSeek V4.1 Flash on two NVIDIA DGX Spark computers at about twice the decode and prefill speed of a standard vLLM setup. A recipe card with no weights,…

New

Similar in Productivity

See all in Productivity

FLUX.1 [Schnell]

black-forest-labs · Kit

Generates pictures from text prompts with the FLUX.1 schnell model from black-forest-labs, in a browser demo built with Gradio. It suits designers and creators…

New

ACE-Step 1.5 XL SFT

ACE-Step · Kit

Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…

New

Guizang PPT Skill

op7418 · Skill

Skill that makes single-file HTML slide decks, slide illustrations and platform covers in two visual styles, with a presenter mode for rehearsal. For speakers…

New29.8k