evolinkai/awesome-gpt-image-2-api-and-prompts — explained in plain English
Analysis updated 2026-06-24
Browse 500+ categorized prompt examples to find the right wording for generating product photos or ad creative.
Use the API code samples to add GPT-Image-2 image generation to your own app or automation script.
Find prompts for generating UI mockups, social media graphics, or e-commerce product shots ready to test.
Learn how to maintain a consistent character appearance across multiple image generations using this model.
| evolinkai/awesome-gpt-image-2-api-and-prompts | optuna/optuna | unifyai/ivy | |
|---|---|---|---|
| Stars | 14,156 | 14,157 | 14,192 |
| Language | Python | Python | Python |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 3/5 | 3/5 |
| Audience | vibe coder | data | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires a paid OpenAI API key with access to the GPT-Image-2 model to run the API examples.
This repository is a curated collection of prompts and API usage examples for GPT-Image-2, which is OpenAI's image generation and editing model available through the OpenAI API and integrated into ChatGPT. The repository is not a piece of software to install, it is a reference document with examples and guides for people who want to generate images using that model. The core content is a gallery of over 500 prompt examples organized into seven categories: portrait and photography, poster and illustration, UI and social media mockups, e-commerce product shots, ad creative, character design, and comparison cases. Each entry in the gallery shows the prompt text used alongside the actual image the model produced, giving readers a concrete before/after view of what different prompt styles achieve. The README explains what GPT-Image-2 can do: generate images from text descriptions, edit existing images with text instructions, render text accurately within images, and maintain a consistent character appearance across multiple generations. It also covers how to call the model through the OpenAI API, including which endpoint to use and how to request different image sizes or batch outputs. The repository is updated regularly, with new prompt cases added in daily batches curated by the maintainers. As of the portion of the README available, it had grown from an initial release in April 2026 to over 500 cases in roughly a month. Documentation is available in 11 languages, including Spanish, Japanese, Korean, German, and Chinese. Companion repositories linked from this one provide a callable skill for automating image generation and a workflow that pairs GPT-Image-2 with a video generation model. The full README is longer than what was shown.
A curated gallery of 500+ prompt examples and API code samples for OpenAI's GPT-Image-2 model, organized by category with before-and-after images so you can see exactly what each prompt produces.
Mainly Python. The stack also includes Python, OpenAI API.
License not specified in the repository description.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.