An 8,000-prompt field guide to OpenAI’s ‘duct-tape’ image model

What it does

This is an awesome-list-style repository that collects thousands of community-submitted prompts for OpenAI’s GPT Image 2 (codenamed duct-tape). Each entry is tagged by use case, style, and subject, and many include preview images showing the resulting output. The project also mirrors its catalog across 16 localized READMEs and auto-updates its statistics via GitHub Actions.

The interesting bit

The maintainers treat GitHub as a backup and SEO front for their own web gallery at youmind.com, which adds masonry layouts, full-text search, and one-click AI generation that the raw README can’t offer. A handful of prompts even support Raycast Snippet syntax, letting you swap variables like product names or quotes on the fly.

Key highlights

• Over 8,000 prompts (per repo statistics) sorted into categories like Product Marketing, Anime, Infographic, and 3D Render.
• Localized into 16 languages, from Portuguese to Hindi to Thai.
• CC BY 4.0 license, explicitly community-collected for educational use.
• Auto-updated README with timestamps and prompt counts.
• Raycast-friendly prompts with dynamic argument placeholders.

Caveats

• The README itself is a linear, Ctrl+F-only experience; browsing by category is basically a wall of links unless you jump to the external gallery.
• Prompts are user-submitted and carry a copyright disclaimer, so rights and quality vary entry by entry.

Verdict

Grab it if you’re hunting for proven GPT Image 2 starting points—especially for commercial illustration, multilingual typography, or character consistency. Skip it if you’re looking for a self-hosted tool; this is a curated catalog, not an engine.