freestylefly/awesome-gpt-image-2

What it solves

This project addresses the difficulty of creating stable, controllable, and reusable AI-generated images. Instead of relying on scattered, prose-style prompts, it provides a structured "Prompt-as-Code" approach to ensure consistency and controllability in production workflows and automation.

How it works

The project transforms community examples into a structured protocol by splitting prompts into an atomic schema (covering subjects, lighting, materials, layout, and visual details). It provides a comprehensive library of over 500 reverse-engineered cases and 20+ industrial templates across various categories like UI, infographics, and photography to serve as reusable assets for humans and AI agents.

Who it’s for

It is designed for designers, prompt engineers, and developers building automation systems or AI agents that require precise, batch-generated visual content.

Highlights

• Extensive Case Library: Over 500 reverse-engineered image generation cases across 12+ categories.
• Prompt-as-Code: Converts prose prompts into structured, composable schemas for better control.
• Agent Integration: Includes a dedicated agent skill (gpt-image-2-style-library) for tools like Claude Code and Cursor to programmatically select styles and templates.
• Industrial Templates: 20+ professional templates for specific use cases like e-commerce, brand identity, and architecture.