Control unstable AI image generation results with structured prompts
If you want to end the instability of AI image generation where the same prompt yields different results every time, this repository offers a solution. It collects over 530 real-world examples and more than 20 industry templates, allowing you to replicate desired styles directly or fill in only your business variables. Rather than a scattered collection of examples, it is organized as a 'prompt-as-code' asset that agents and automation workflows can reuse.
Version 2.5 comparison and new features
A recent update added a dedicated section for comparing the 'Sunburst' and 'Flare' models of GPT Image 2.5. With a draggable split line and side-by-side view, you can directly see how the same prompt produces different results across the two models. It includes four real reproduction cases: a lemon campaign, a Rio diorama, a Manhattan watercolor, and a Bichon shop icon. Each case uses the original gallery image and full prompt to generate a new image. However, this update does not add live 2.5 image generation capabilities; existing GPT-Image2 examples and tools remain unchanged.
Principles of structured prompts
The core of this repository is compressing prose-style prompts into a structured protocol. It uses an 'atomic schema' that divides subject, lighting, material, layout, and visual details into independent parts that can be combined. This allows for more precise control over layout, text, and information hierarchy in batch generation, template systems, and production workflows. It is designed to be easily processed by agents, scripts, and automation systems, rather than being a simple collection of examples.
Agent skills and installation
It includes agent skills that use the same data as the website, making them immediately usable in various tools such as Claude Code, Codex, and Cursor. Installing via the command npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code codex --global --yes --copy allows the agent to automatically select styles, templates, categories, and scene tags to generate prompts. You must restart the agent session after installation for changes to take effect.
License and commercial usage notes
This project is released under the MIT license, allowing free use, modification, and distribution. However, most prompts and images in the repository are collected from public community sources such as YouMind and OpenNana, drawing inspiration from them. Therefore, commercial use of third-party content is not guaranteed, and you must obtain permission from the original copyright holder before using it for commercial purposes. If the original author requests content removal, you can submit a request via an issue, which will be reviewed and processed promptly.
