sunwood-ai-labs/vending-machine-stigmata — explained in plain English
Analysis updated 2026-07-25 · repo last pushed 2026-04-25
Use as a reference template for organizing and handing off a complete music release package with artwork, audio, and video.
Study the prompt archive to learn how AI image and video tools were used to create a cohesive visual identity for a song.
Publish the bilingual documentation website to GitHub Pages to present the project to reviewers or fans.
Explore the final rendered videos and album jacket images for inspiration on branding a gothic J-pop release.
| sunwood-ai-labs/vending-machine-stigmata | 00kaku/gallery-slider-block | 04amanrajj/netwatch | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | — | JavaScript | Rust |
| Last pushed | 2026-04-25 | 2021-05-19 | — |
| Maintenance | Maintained | Dormant | — |
| Setup difficulty | easy | easy | moderate |
| Complexity | 1/5 | 2/5 | 3/5 |
| Audience | designer | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Large media files require Git LFS, run `git lfs pull` after cloning to download actual images, audio, and video.
VENDING MACHINE STIGMATA is a public asset kit and documentation hub for a gothic dark electro J-pop music project by an artist named AYANO YUKIMURA. Think of it as a finished, release-ready creative package, album cover art, music video loop imagery, the audio master file, rendered videos, and the notes behind how everything was generated. It's designed so that anyone reviewing or presenting the project can find every asset in one organized place. The repository is structured like a digital press kit meets production archive. You get final album jacket images, background stills, source video clips, and the finished MP3. There's also a detailed log of the prompts and generation steps used to create the visual assets, which is useful if you want to understand or reproduce the creative process. A bilingual documentation website (English and Japanese) lives in the repo as well, built with a tool called VitePress, and it can be published to the web through GitHub Pages. The people who'd get the most value here are music producers, visual artists, label or marketing folks handling a release, or anyone curious about AI-assisted creative workflows. For example, if you're an indie artist planning a single release and want to see what a complete, polished asset handoff looks like, artwork, audio, video, branding marks, and docs, this is a strong reference. The prompt archive also makes it a practical study aid for creators exploring how image and video generation tools were used to produce a cohesive visual identity for a song. One practical note: large media files (images, audio, video, PSDs) are managed with Git LFS, a system that keeps the repo lightweight by storing big files separately. If you clone the repo and a media file looks like a tiny text file instead of an actual image or song, you just run git lfs pull to download the real content. All creative materials are all rights reserved, so you can look and learn but can't reuse or remix without permission.
A complete, release-ready creative asset kit and documentation website for a gothic dark electro J-pop music project, including final artwork, audio, video, and the AI generation prompts behind them.
Maintained — commit in last 6 months (last push 2026-04-25).
All creative materials are all rights reserved, meaning you can look and learn from them but cannot reuse, remix, or distribute them without the artist's permission.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly designer.
This repo across BitVibe Labs
Verify against the repo before relying on details.