awesome-gpt-image-2: Prompt-as-Code Repository for AI Image Generation

Repositoryfreestylefly/awesome-gpt-image-2Resource

awesome-gpt-image-2 is an open-source prompt engine and template collection for GPT-Image2, providing over 540 reverse-engineered prompt cases and 20+ industrial-grade templates using a Prompt-as-Code approach.

Key points

  1. Features more than 540 reverse-engineered prompt examples and over 20 structured templates.
  2. Applies the Prompt-as-Code methodology to break prompts down into modular, reusable skills.
  3. Provides an interactive visual web gallery at gpt-image2.canghe.ai with style and scenario filters.
  4. Supports direct prompt testing in the browser after user sign-in.
  5. Published under the MIT licence with over 27,000 GitHub stars.

Why it matters

Reliable AI image generation requires structured, reproducible instructions rather than guesswork. Treating prompts as modular code helps teams standardise assets and automate visual asset generation.

Analysis

The project solves the problem of arbitrary and brittle prompting in AI image generation. Using JavaScript and markdown structures alongside its companion web app, it targets prompt engineers, designers, and developers looking to systematise image generation workflows. With over 27,000 stars, 2,600 forks, an MIT licence, and regular maintenance through September 2026, the project demonstrates high maturity and broad ecosystem adoption.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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