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GitHub · freestylefly/awesome-gpt-image-2↑ +401 today

Templates for AI visual generation

GPT-Image2 is a prompt engineering library that defines image creation processes as code (Prompt as Code). With 470+ reverse engineered examples and 20+ industrial templates, it makes it easy to get consistent results from AI models.

Updates

  • October 13, 2026: Stars 32,734 → 34,422.
  • September 19, 2026: Stars 31,160 → 32,734.
  • September 11, 2026: Stars 29,494 → 31,160.
  • September 9, 2026: Stars 27,621 → 29,494.

What you get

  • 500+ reverse engineered visual prompts
  • 20+ industrial rendering templates
  • Structural protocols that describe visual processes as code

Installation

Install all styles on computer
npx gpt-image-2-style-library install all

Running it

Adding capabilities to an AI agent
npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code codex --global --yes --copy

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

You are a visual prompt engineer. Using the structural protocols in the Awesome GPT Image 2 library, the image subject I specified; Break it down into atomic parts like lighting, materials, layout and visual details. Ensure that the request you produce gives consistent and controllable results by artificial intelligence models.

Repository: https://github.com/freestylefly/awesome-gpt-image-2. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

Who it is forFor designers and automation developers who want to get more consistent, professional, and repeatable visuals from AI models.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-24: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.