Templates for AI visual generation
GPT-Image2 is a prompt engineering library that defines image creation processes as code (Prompt as Code). With 470+ reverse engineered examples and 20+ industrial templates, it makes it easy to get consistent results from AI models.
Updates
- September 9, 2026: Stars 27,621 → 29,494.
- September 3, 2026: Stars 26,288 → 27,621.
- August 31, 2026: Stars 22,435 → 26,288.
- August 27, 2026: Stars 14,719 → 22,435.
What you get
- 500+ reverse engineered visual prompts
- 20+ industrial rendering templates
- Structural protocols that describe visual processes as code
Installation
npx gpt-image-2-style-library install allRunning it
npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code codex --global --yes --copyIf you don't write code
You are a visual prompt engineer. Using the structural protocols in the Awesome GPT Image 2 library, the image subject I specified; Break it down into atomic parts like lighting, materials, layout and visual details. Ensure that the request you produce gives consistent and controllable results by artificial intelligence models.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-24: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.