Reusable gpt-image-2 Prompt Patterns

I have been collecting image-generation prompts for a while, but the useful ones are rarely just long strings of adjectives.

A good prompt is closer to a design brief. It tells the model what the image is for, what should be readable, which details matter, what must not be invented, and where the user is expected to replace the input.

This English edition is not a literal translation of the Chinese series. I rewrote the prompts in English, changed the example subjects where it made sense, and regenerated the images with gpt-image-2. The Chinese examples still matter, but English prompts deserve their own tests.

The templates in this series are adapted from public prompt ideas shared by @xiaoxiaodong01 and @MrLarus, with thanks.

Chinese version of this article

What I Look For

I do not judge a prompt by length. Long prompts are easy to write. Reusable prompts are harder.

The ones worth saving usually do a few things well:

• They know their use case: cover image, technical diagram, report visual, poster, wallpaper, or brand direction.
• They control information density instead of asking the model to include everything.
• They give the image a reading path: title, subject, supporting labels, negative space, and a closing point.
• They name failure modes: garbled text, fake data, crowded layouts, cheap templates, wrong components.
• They leave a clear input slot so the pattern can be reused.

The pattern is simple: a good prompt does not merely describe a style. It assigns work.

Series Index

Technical Diagrams And Infographics

For architecture overviews, mechanism explainers, workflow diagrams, Mermaid reconstruction, and technical presentation visuals.

Read the full set: gpt-image-2 Prompt Patterns: Technical Diagrams And Infographics

Commercial Covers And Miniature Visuals

For editorial information visuals, report covers, technology posters, miniature product scenes, brand concepts, and knowledge cards.

Read the full set: gpt-image-2 Prompt Patterns: Commercial Covers And Miniature Visuals

A Practical Note

Image prompts age differently from normal code.

Model names, supported sizes, pricing, and platform entry points will change. The durable part is the prompt structure: what the image is supposed to do, what information is allowed, how text is handled, and how the final result will be used.

Text inside generated images still needs manual checking. Large titles and short labels are often usable. Dense annotations, names, dates, numbers, and specialized terms should be verified before publishing.