What it does

This repo collects ready-to-use prompts for gpt-image-2, organized by category: portraits, posters, UI mockups, character sheets, game screenshots, and more. Each prompt includes the exact text and attribution to the creator. There’s also a minimal Python snippet showing the standard OpenAI Images API call.

The interesting bit

The prompts are deliberately elaborate—some run 200+ words specifying lighting, film grain, skin texture, lens type, and “no plastic skin.” It’s a useful window into what actually works with GPT-Image-2’s improved prompt adherence and photorealism, rather than vague one-liners.

Key highlights

• ~60+ prompts across 8 categories, all with creator attribution
• Heavy emphasis on “authenticity” cues: 35mm film, CCD flash, iPhone RAW, motion blur
• Typography-specific prompts exploiting GPT-Image-2’s text-in-image improvements
• Includes image-to-image and style transfer examples
• CC BY 4.0 license, so usable in commercial projects
• Curated by the same maintainer behind several GPT-Image-2 SaaS tools

Caveats

• The “Why GPT-Image-2” section reads like marketing copy with no benchmarks or comparisons provided
• Some prompts contain repetitive phrasing and near-identical structure (multiple “35mm film, no plastic skin, no watermark” variants)
• The star count badge actually links to a different repo (Awesome-GPT-Store), which is sloppy

Verdict

Worth bookmarking if you’re building with the GPT-Image-2 API and want proven prompt patterns without the trial-and-error. Skip it if you’re looking for theoretical prompt engineering analysis or comparative evaluation against other models.