AI

GPT Image 2 Prompt Engineering: 500 Examples Reverse-Engineered on GitHub

A GitHub repository compiling industrial-grade templates and over 500 prompt examples for GPT Image 2 has gained attention. It is sponsored by various Chinese AI platform companies.

4 min read Reviewed & edited by the SINGULISM Editorial Team

GPT Image 2 Prompt Engineering: 500 Examples Reverse-Engineered on GitHub
Photo by BoliviaInteligente on Unsplash

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GPT Image 2 is an image generation model released by OpenAI in 2025, offering image creation and editing based on text instructions. As the structure and phrasing of prompts directly impact the quality of the output, the need for sharing effective prompt engineering techniques is growing within the industry.

The “awesome-gpt-image-2” repository by freestylefly, featured on GitHub Trending, has been published as a structured learning resource for this technical domain.

Repository Overview

This repository champions the “Prompt as Code” concept and is organized as a resource for systematically learning GPT Image 2 prompt engineering. The freestylefly repository on GitHub Trending contains over 500 prompt examples and more than 20 industrial-grade templates.

Each example has been structured through a reverse engineering process and is categorized by style and use case. Its design philosophy balances educational value with immediate practical applicability. It supports multiple languages—English, Simplified Chinese, and Japanese—targeting a global developer community.

Integrated Visual Website

The repository is linked with the website “gpt-image2.canghe.ai,” where users can browse a gallery of generated works as a product demonstration. Features include large preview displays, full prompt copying, and filtering by style or scenario.

After Google authentication, generation tests can also be executed on the web, allowing for prompt verification to be completed in one place. A workflow is established for users to deepen their learning by navigating between the GitHub repository and the website.

The project operates a paid community. Access is granted after a one-time payment of 9.90 yuan via Alipay, with server-side verification before group admission. Inquiries regarding payment, access, refunds, and the product are accepted via the official WeChat account “Canghe.”

This model serves as a means to raise funds for the project’s sustained operation. Operating paid groups is common in China’s tech community, and this repository aligns with that framework.

Sponsors and AI API Platforms

Multiple sponsors are involved with the repository. APIMart offers GPT-Image-2 usage starting from $0.006 per image, enabling over 160 generations per dollar. A single asynchronous API covers both image and video generation, supporting batch processing of tens of thousands of images.

hiapi provides multiple AI models via a single API, with generated results permanently stored on its CDN. It features Remote MCP and Agent Skills capabilities, supporting integration with Claude Code and Cursor. PackyCode offers API relays for Claude Code, Codex, and Gemini, ensuring availability with automatic failover and smart routing. DolOffer is a digital goods platform offering popular subscriptions like YouTube Premium and ChatGPT Plus at less than 30% of the official price.

Price Competition in China’s AI Image

Generation Market

The sponsors participating in the freestylefly repository on GitHub Trending are all AI API platforms based in China. They are engaging in price competition by offering low-cost access to GPT Image 2.

APIMart’s price setting of $0.006 per image appears intended to ensure cost competitiveness for large-volume generation. hiapi’s permanent storage feature and PackyCode’s high-availability relay are positioned as value-added services catering to enterprise needs. The rise of such platforms has the potential to alter the competitive structure in the infrastructure layer of AI image generation.

Editorial Opinion

Demand for prompt engineering resources for GPT Image 2 is rising rapidly. The awesome-gpt-image-2 repository is building a foundation for practical learning for developers and designers through over 500 examples and industrial templates. The participation of Chinese enterprise API platforms as sponsors indicates an acceleration in price competition and technology diffusion within the AI image generation market.

Prompt engineering for GPT Image 2 is a key technical field expanding the application range of generative AI. This repository ensures transparency through its public availability on GitHub while enabling community-driven improvements. With the rapid expansion of the AI image generation market, the standardization of prompt engineering and the protection of intellectual property may become important future challenges. Verification is also needed regarding the quality management and legal risks of the reverse-engineered examples.

References

Source: GitHub Trending

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