GPT Image 2 Prompts
OpenAI's reasoning image model — it plans the layout, thinks through your instructions, and checks its own work before drawing.
About GPT Image 2
GPT Image 2 is OpenAI's image generation model, and it works differently from most: instead of diving straight into pixels, it plans the layout, reasons about your instructions, and self-checks before it draws. That deliberate pipeline is why it handles briefs that would trip up faster models.
Its standout strength is complex multi-part instructions. Ask for a labeled diagram, an infographic with several panels, or a scene where three characters each do something specific, and GPT Image 2 keeps track of every requirement. Text rendering is another reliable strength — signs, labels, and headlines come out legible instead of garbled.
A model that actually reads your whole prompt rewards prompts worth reading. Vague briefs waste its reasoning; precise ones let it shine. The gallery below collects tested GPT Image 2 prompts with their real outputs, so you can start from a structure that already works.
How to write GPT Image 2 prompts
- 1Write the full brief, not a keyword pile. GPT Image 2 reasons over your instructions, so numbered requirements and complete sentences outperform comma-separated tags.
- 2Spell out every element and its relationship: "a three-panel comic; panel one shows…, panel two shows…". The model tracks multi-part structure — give it the structure to track.
- 3Put exact text in quotation marks: a sign reading "OPEN 24 HOURS", a mug printed with "World's Okayest Coder". Quoted strings render far more faithfully than paraphrased ones.
- 4Describe layout intent explicitly — foreground vs. background, left vs. right, what overlaps what. Because the model plans composition first, spatial language directly shapes the plan.
- 5State constraints as rules, not hopes: "no watermark, flat vector style, white background, exactly four icons". GPT Image 2 treats explicit rules as a checklist during its self-check.
- 6Iterate by editing the brief, not rerolling. When one element is wrong, revise that clause and keep the rest verbatim — the model's instruction-following makes targeted fixes stick.
Frequently asked questions
What is GPT Image 2 best at?
Complex, multi-requirement images: infographics, diagrams, UI mockups, scenes with several distinct elements, and anything that needs readable text. Because it plans and self-checks before drawing, it is among the strongest models at following long, precise instructions without dropping details.
How do I write good GPT Image 2 prompts?
Treat the prompt as a design brief. List every element, its position, and any exact text in quotes, then state your style and constraints as explicit rules. The tested prompts on this page show the pattern in action — copy one and swap in your own content.
Can GPT Image 2 render text inside images?
Yes, and reliably — legible signs, labels, headlines, and packaging copy are one of its signature strengths. Put the exact wording in quotation marks and describe where it should appear; the model's self-check pass helps keep the spelling intact.
Where can I use GPT Image 2?
GPT Image 2 is available through ChatGPT and via the OpenAI API for developers. Copy any prompt from this page, paste it there, and adjust the elements or text to fit your project.
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![Premium luxury 3D miniature travel poster for [CITY_NAME], 3:4 vertical format.
Create an original, — AI image prompt — GPT Image 2](https://cdn.ahaprompt.app/harvest-media/import-1789829256464-24yi3l.jpg)




