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Awesome GPT Image 2.5 Prompts is a 150-prompt library across 9 use cases for designers who need an image this afternoon

Awesome GPT Image 2.5 Prompts is an MIT-licensed catalogue of 150 verified prompts across 9 use cases, computed from a JSON file so every count in the readme matches the data.

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Editorial2 min read

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awesome-gpt-image-2-5-prompts GitHub repository card

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Why it mattersA designer needing a poster, an ad creative or a UI mockup today can paste a working prompt and iterate, instead of writing one from scratch and burning three or four generations to find the right structure.

A designer in a hurry does not want to invent a prompt; they want to copy one that works and change the words.

The repository youart-open-source/awesome-gpt-image-2-5-prompts collects 150 prompts for OpenAI's GPT Image 2.5, grouped into 9 use cases and credited to 110 creators. The project is at 592 stars and sits under an MIT licence on the build scripts, with the prompts themselves staying the work of the authors who wrote them. 25 of the 150 prompts are written as JSON so they can be fed to a tool rather than typed into a prompt box.

The nine groups, with counts

The catalogue is divided like this: Posters (17), Text in image or Typography (17), Infographics (17), UI mockups (17), Product photography (17), Ad creative (17), Character design (16), Portraits (16), Illustration (16). Every one of these numbers, the project says, is computed from the file data/prompts.json when the readme is built, so the counts cannot drift away from the file. The documentation states that every number in the file (prompts, creators, use cases, characters) is computed from the JSON source rather than typed in by hand.

That is a small but important choice. Readmes with inflated counts are common in prompt libraries. A built-from-data readme means a reader opening the file in October gets the real figure for October, not a figure from the first commit.

The practical workflow

A marketer who needs a social poster can open the Posters group, pick a prompt whose output matches the direction they want, and change the subject and the brand. A product manager who needs a UI mockup for a pitch can do the same in the UI mockups group. The 25 JSON entries are the version a developer would prefer: a prompt with named fields rather than a paragraph, which is easier to template into an app that batches images.

The library sits between two kinds of prompt collection a reader has seen before. It is not a social feed where good prompts arrive but disappear, and it is not an opinionated prompt book that teaches a style. It is a catalogue, with attribution.

Two things the file does not do

It does not benchmark GPT Image 2.5 against another model. The prompts are tuned for this one, and a prompt that works here may need rewriting on a different image engine. And it carries a takedown process: a creator who wants their prompt removed opens an issue and the maintainer takes it out. That is the right default when the prompts are other people's work.

Source

SourceGitHub

This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.

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