8,000+ prompts for an image model that finally reads
A curated, multilingual prompt library for OpenAI's GPT Image 2, with preview images and Raycast snippet support.

What it does This repo collects thousands of community-submitted prompts for OpenAI’s GPT Image 2, organized by use case, style, and subject. Each prompt includes a generated preview image. The README auto-updates via GitHub Actions, and the whole collection is mirrored on a searchable web gallery with category filters and one-click generation.
The interesting bit The prompts aren’t just descriptions—they’re structured JSON-like templates with typed fields, component callouts, and even dynamic arguments via Raycast snippet syntax. One featured prompt for a VR headset exploded-view poster specifies nine distinct internal layers with bilingual Japanese/English labels. It’s less “prompt engineering” and more “prompt architecture.”
Key highlights
- 8,000+ prompts with preview images, sorted into ~40 categories (use case, style, subject)
- READMEs in 16 languages, auto-updated by a GitHub Action
- Raycast-friendly prompts with
{argument name="..." default="..."}syntax for quick iteration - CC BY 4.0 license; community-submitted with takedown process for copyright issues
- Companion gallery site with masonry layout, full-text search, and mobile support
Caveats
- The repo is essentially a well-organized awesome-list with heavy automation, not a tool or library
- Preview images are hotlinked from a CMS domain (cms-assets.youmind.com), so offline browsing is limited
- The “statistics” table shows prompt counts that fluctuated between 8,273 and 8,640 across two README snapshots two days apart, suggesting either rapid growth or counting instability
Verdict Grab this if you’re actively using GPT Image 2 and want production-ready prompt templates with visual references. Skip it if you’re looking for code, API wrappers, or theoretical prompt-engineering research.