Mindket

YuE2 Keygen Music LoRA

Newversion 1 · updated

Overview

Generates keygen and demoscene style chiptune music with the YuE2-3B model and a LoRA adapter pair. It makes music only. For musicians and developers who like that retro sound.

YuE2 Keygen Music LoRA 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
  • Python 3.12 on your computer
  • The Python packages listed in requirements.txt
  • A large GPU, since the Space runs on GPU hardware at Hugging Face
  • The huggingface_hub package, which gives you the hf command
Runs in
  • A web browser, on the Space's page at Hugging Face, with nothing to install
  • Windows, macOS or Linux with Python, from a copy you download, on a large GPU
Start with
pip install -U huggingface_hub
hf download hugging-apps/yue2-keygen-music-lora --repo-type space --local-dir yue2-keygen-music-lora
cd yue2-keygen-music-lora

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

YuE2 Keygen Music LoRA generates chiptune music in the style of keygen and demoscene tunes. It pairs the YuE2-3B model from m-a-p with a LoRA adapter pair from monsterovich, one adapter for the plan and one for the timbre.

The Space makes music and nothing else. It is a small app with an app.py and a requirements file.

Who it suits

Musicians and developers who like retro computer music and want to try a model tuned for it.

IndustryWho uses itHow they use itExample
MusicChiptune fans and composersGet ideas in the retro demoscene styleGenerate a short tune to listen to
GamesIndie developersTry retro background musicMake a looping style sample
ResearchAudio model researchersSee what a LoRA adapter pair changesCompare the output with the base model

You can skip it if you need commercial use, since the weights are non-commercial.

Where to use it

  • A web browser, on the Space's page at Hugging Face, with nothing to install
  • Windows, macOS or Linux with Python, from a copy you download, on a large GPU
Use caseWhoWhat they get back
Generate chiptuneMusiciansAn audio track in the retro style
Test the adaptersResearchersOutput from YuE2-3B with the LoRA pair

How to set it up

  • Python 3.12 on your computer
  • The Python packages listed in requirements.txt
  • A large GPU, since the Space runs on GPU hardware at Hugging Face
  • The huggingface_hub package, which gives you the hf command
  1. Install the huggingface_hub package.
  2. Download the Space with the hf command.
  3. Move into the downloaded folder.
  4. Install the pinned Gradio version.
  5. Install the packages from requirements.txt.
  6. Start the app with Python.
pip install -U huggingface_hub
hf download hugging-apps/yue2-keygen-music-lora --repo-type space --local-dir yue2-keygen-music-lora
cd yue2-keygen-music-lora
pip install gradio==6.31.0
pip install -r requirements.txt
python app.py

How to use it

Open the Space's page in your browser, or start your own copy with the command below. Use the controls the page shows to ask for a track, then play the audio it returns.

python app.py

Example

You ask the demo for a short chiptune track in the keygen style. It returns an audio clip that you can play and download from the page.

For newcomers and experts

If you are new to AI music, run the demo with its default settings and listen to the first result. Then change one setting at a time.

If you know the field, the adapter pair is split in two parts. One handles the plan with an autoregressive pass, and the other handles the timbre with a non-autoregressive pass. Both sit on top of YuE2-3B, and a separate YuE2 VAE model is also named.

  1. You ask for a track on the page
  2. The AR adapter plans the music
  3. The NAR adapter shapes the timbre
  4. The VAE turns it into audio

Good to know

  • License: the Space lists cc-by-nc-4, and the README says the weights are non-commercial
  • Cost to run: none named
  • Data it reaches: the settings you choose, plus the three models it names
  • Not for: commercial use, or for anything other than making music

README and files

README

YuE2 Keygen Music LoRA

Generates keygen and demoscene style chiptune music with the YuE2-3B model and a LoRA adapter pair. It makes music only. For musicians and developers who like that retro sound.

Made by hugging-apps 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: YuE2 Keygen Music LoRA generates chiptune music in the style of keygen and demoscene tunes. It pairs the YuE2-3B model from m-a-p with a LoRA adapter pair from monsterovich, one adapter for the plan and one for the timbre.

The Space makes music and nothing else. It is a small app with an app.py and a requirements file.

Who it suits: Musicians and developers who like retro computer music and want to try a model tuned for it.

Industry | Who uses it | How they use it | Example
Music | Chiptune fans and composers | Get ideas in the retro demoscene style | Generate a short tune to listen to
Games | Indie developers | Try retro background music | Make a looping style sample
Research | Audio model researchers | See what a LoRA adapter pair changes | Compare the output with the base model

You can skip it if you need commercial use, since the weights are non-commercial.

Where to use it:

  • A web browser, on the Space's page at Hugging Face, with nothing to install
  • Windows, macOS or Linux with Python, from a copy you download, on a large GPU
Use case | Who | What they get back
Generate chiptune | Musicians | An audio track in the retro style
Test the adapters | Researchers | Output from YuE2-3B with the LoRA pair

How to set it up:

  • Python 3.12 on your computer
  • The Python packages listed in requirements.txt
  • A large GPU, since the Space runs on GPU hardware at Hugging Face
  • The huggingface_hub package, which gives you the hf command
  1. Install the huggingface_hub package.
  2. Download the Space with the hf command.
  3. Move into the downloaded folder.
  4. Install the pinned Gradio version.
  5. Install the packages from requirements.txt.
  6. Start the app with Python.
pip install -U huggingface_hub
hf download hugging-apps/yue2-keygen-music-lora --repo-type space --local-dir yue2-keygen-music-lora
cd yue2-keygen-music-lora
pip install gradio==6.31.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space's page in your browser, or start your own copy with the command below. Use the controls the page shows to ask for a track, then play the audio it returns.

python app.py

Example: You ask the demo for a short chiptune track in the keygen style. It returns an audio clip that you can play and download from the page.

For newcomers and experts: If you are new to AI music, run the demo with its default settings and listen to the first result. Then change one setting at a time.

If you know the field, the adapter pair is split in two parts. One handles the plan with an autoregressive pass, and the other handles the timbre with a non-autoregressive pass. Both sit on top of YuE2-3B, and a separate YuE2 VAE model is also named.

You ask for a track on the page
The AR adapter plans the music
The NAR adapter shapes the timbre
The VAE turns it into audio

Good to know:

  • License: the Space lists cc-by-nc-4, and the README says the weights are non-commercial
  • Cost to run: none named
  • Data it reaches: the settings you choose, plus the three models it names
  • Not for: commercial use, or for anything other than making music

On Hugging Face, 13 November 2026

  • Likes: 3
  • Built with: gradio
  • License: cc-by-nc-4.0

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 · 2026-11-12

Compare with similar

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YuE2 Keygen Music LoRA This page3gradiocc-by-nc-4.0
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Numbers as Mindket last read them, on 2026-11-12.

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