Build an automated pipeline that generates consistent product e-commerce images using the structured prompt templates
Create a batch marketing image generator that applies the same visual style across many products by reusing template parts
Study the 400+ reverse-engineered prompt cases to learn how to write effective, repeatable AI image prompts for specific styles
This is a collection and structured template library of prompts for GPT-Image-2, an AI image generation model. The project's central idea, "Prompt as Code", is that instead of writing one-off text descriptions each time you want to generate an image, you treat prompts like software: structured, composable, and reusable. It addresses a shift in AI image generation from simply "can it make an image?" to "can it make stable, controllable, repeatable images?" The library contains over 400 reverse-engineered cases, meaning real prompts were studied and documented so others can learn from them. These cases are organized into categories including UI and interfaces, charts and infographics, posters, product and e-commerce shots, brand and logos, architecture, photography, illustration, and character design. On top of those, there are 20+ industrial-grade prompt templates that break each prompt into composable parts, subjects, lighting, materials, layout, and visual details, making them easier to plug into automated pipelines or agent-driven workflows. Someone would reach for this when they need repeatable, production-quality AI image output rather than one-off generations. If you're building a system that auto-generates marketing images, or a batch workflow that creates consistent visuals across many products, these structured templates remove the guesswork and make the prompt the asset. A live gallery website lets users browse examples, copy full prompts, and filter by style or scenario. The full README is longer than what was provided.
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