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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
Step-by-step guide: how to use awesome-gpt-image-2Install, first run, examples, tips and FAQs

How to get it

  1. 1

    Read it online

    Clone the repository

    git clone https://github.com/freestylefly/awesome-gpt-image-2
  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. 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

ProjectStarsTypeLevelUpdatedBest for
awesome-gpt-image-2 (this)35.4kLearning resourcebeginner23 days agoPeople who want working GPT Image 2 prompts to copy and adapt
Prompt-Engineering-Guide79.8kLearning resourcebeginner8 months agoPeople who are new to prompting and want structured lessons with examples
generative-ai-for-beginners123kLearning resourcebeginner5 days agoDevelopers who know some Python or TypeScript and want a guided introduction to generative AI
FinGPT21.5kAI model / agentadvanced12 days agoDevelopers who want to experiment with finance-tuned LLMs for sentiment analysis
langflow156kAppintermediate4 days agoDevelopers who want a visual way to prototype LLM workflows and then move them into code
langchain149kFrameworkintermediate4 days agoPython 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.