
awesome-gpt-image-2
A curated library of GPT Image 2 prompts, templates, and reusable skills, organized as structured prompts.
- Stars
- 35.4k
- Forks
- 3.3k
- Licence
- MIT
- Language
- JavaScript
- Last update
- 23 days ago
- Type
- Learning resource
What it is
This is a collection of prompts and example images for OpenAI's GPT Image 2 model, organized as structured 'prompt as code' templates rather than loose examples. The README describes over 500 reverse-engineered cases, 20+ template sets, and reusable Skills, along with a 2.5 comparison section and a companion website for browsing. People use it to find working prompts and reuse structured templates for consistent image generation.
- Browse the gallery of cases and copy full prompts for a style you want
- Use a template from the library as a starting point for a batch of similar images
- Reuse the included Skills inside an agent workflow
- Compare how the same prompt looks in the 2.5 spotlight recreations
Great for
- People who want working GPT Image 2 prompts to copy and adapt
- Designers looking for style and layout prompt examples
- Developers building batch image workflows who want reusable templates
- Anyone comparing GPT Image 2 and 2.5 outputs from the same prompt
Not ideal for
- People wanting a standalone image generator app: the README describes a prompt library and website, and says the 2.5 update does not add live 2.5 image generation
- Users who need verified original generation settings: the README says original conditions and exact tool model IDs remain unverified for the 2.5 recreations
How to get it
- 1
Read it online
Clone the repository
git clone https://github.com/freestylefly/awesome-gpt-image-2 - 2
Run it
- Open the live site at gpt-image2.canghe.ai to browse the gallery
- Pick a case and copy its full prompt
- Paste the prompt into a GPT Image 2 tool you have access to
- Adjust the structured fields to change subject, lighting, or layout
- 3
Get the most out of it
- Use the website filters by style or scenario to find relevant cases quickly
- Open the source case on GitHub to see the original prompt and generation record
- Start from a template when you need consistent output across many images
- Try the 2.5 comparison view to see how prompts behave across model versions
Downloads
Strengths
- Large collection of examples with prompts and generation records included
- Structured prompt format is designed to be reusable and composable
- MIT licensed and actively maintained according to recent push date
Trade-offs
- Prompts are tied to a specific model family and may change as models update
- README is a mix of project content and sponsor promotions, so some material is commercial
- Little detail is given in the truncated README about how Skills are installed or invoked
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| awesome-gpt-image-2 (this) | 35.4k | Learning resource | beginner | 23 days ago | People who want working GPT Image 2 prompts to copy and adapt |
| Prompt-Engineering-Guide | 79.8k | Learning resource | beginner | 8 months ago | People who are new to prompting and want structured lessons with examples |
| generative-ai-for-beginners | 123k | Learning resource | beginner | 5 days ago | Developers who know some Python or TypeScript and want a guided introduction to generative AI |
| FinGPT | 21.5k | AI model / agent | advanced | 12 days ago | Developers who want to experiment with finance-tuned LLMs for sentiment analysis |
| langflow | 156k | App | intermediate | 4 days ago | Developers who want a visual way to prototype LLM workflows and then move them into code |
| langchain | 149k | Framework | intermediate | 4 days ago | Python developers building LLM-powered applications |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.