README
Prompt as Code | GPT-Image2 Industrial Prompt Engine & Template Library, 370+ Reverse-Engineered Cases, 20+ Industrial Templates
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Updated irregularly with new workflows. Stars are welcome. This project is sponsored by Ciyuan API, an AI aggregation platform for cost-effective GPT Image 2 access.
⚡️ Project Vision
After GPT-Image2 became widely available, AI image generation moved from "can it make an image?" to "can it make stable, controllable, reusable images?" This project turns scattered community examples into Prompt-as-Code assets that are easier for agents and automation workflows to reuse.
The core goal is simple: compress prose-style prompts into structured protocols. When you need batch generation, template systems, or production workflows, this structure is more valuable than a pile of isolated examples.
- 🧱 Atomic schema: split subjects, lighting, materials, layout, and visual details into composable parts
- ⚙️ Workflow friendly: designed for agents, scripts, and automation systems
- 🧬 Structured control: improve controllability for layout, copy, and information hierarchy