GPT Image 2.6 Prompts
OpenAI's fastest image model — 50% quicker than Images 2.5, now with looping GIFs, SVG vector output, and edits that leave the rest of the frame untouched.
About GPT Image 2.6
GPT Image 2.6 is OpenAI's image generation model and the direct successor to Images 2.5. The headline is speed — OpenAI reports it generates 50% faster than 2.5 — but the more interesting change is the range of outputs: the same prompt can now return a still image, a looping GIF, or a vector SVG.
Editing is where 2.6 earns its keep in production. Region marking lets you point at the part of the image you want changed and leave everything else alone, while a separate complexity control decides how much planning happens before rendering — low for a quick local fix, high for dense layouts and scenes with many interacting objects. Character, product, and brand details hold together across repeated rounds.
Because the model plans before it draws, the prompt still reads best as a design brief: the subject, the layout, the exact copy, and the constraints. The gallery above collects tested GPT Image 2.6 prompts with their real outputs, so you can copy a structure that already works instead of re-deriving it.
How to write GPT Image 2.6 prompts
- 1Write the brief, not a keyword pile: subject, layout, exact text, constraints. GPT Image 2.6 plans the scene before rendering, so every requirement you state is one it can check itself against.
- 2For a GIF, direct the loop, not just the frame: say what moves, what stays still, how the motion returns to its starting point, and how long the cycle should feel.
- 3Ask for SVG only when the image is shape-based — icons, logos, flat illustration, diagrams. Photographic texture belongs in raster; vector tracing will simplify it away.
- 4When editing, name the region and the change, then say what must not move: "change only the sign; keep the character, lighting, and background identical". Region-marked edits reward being explicit about the perimeter.
- 5Match planning effort to the job. Dense text, multi-panel layouts, and interacting objects benefit from more planning; a one-element fix benefits from less. If a result drifts, say which part drifted and keep the rest of the brief verbatim.
- 6Put exact copy in quotation marks: a shop sign reading "OPEN LATE", a mug printed with "World's Okayest Coder". Text rendering is one of the model's reliable strengths, and quoted strings survive edits that would garble paraphrased text.
Frequently asked questions
What is new in GPT Image 2.6 compared with 2.5?
Faster generation, looping GIF output, vector SVG export, region-marked edits, and a separate complexity control that decides how much scene planning happens before rendering. The API exposes two variants: Flare for speed and Sunburst for detail.
Can GPT Image 2.6 create animated GIFs?
Yes. Ask for a looping animation from a prompt or a sketch, describe what moves and how the loop closes, and the model returns a shareable GIF. It is designed for short loops — mascots, product turns, reaction images, small story beats — not long video.
How do I edit one part of an image without changing the rest?
Point at the region you want changed and state the perimeter explicitly: change only this sign; keep the face, lighting, and background untouched. 2.6 preserves unedited areas far better than earlier versions, but naming what must stay is what makes the edit predictable.
Where can I use GPT Image 2.6?
It is available in ChatGPT and Codex across subscription tiers, and through the OpenAI API. Copy any prompt from this page, paste it into your tool of choice, and swap in your own subject or copy.
Related models
GPT Image 2.5
OpenAI's GPT Image 2.5 — up to 50% faster than Images 2, with pinpoint local edits that leave the rest of the frame untouched and reference subjects that stay recognizable across repeated rounds.
GPT Image 2
OpenAI's top-ranked image model — it plans the layout, reasons, and self-checks before it draws, nailing complex multi-part instructions.
GPT-6 Astra
OpenAI's GPT-6 Astra — the frontier reasoning model inside ChatGPT that plans first, then directs image and video generation from a single conversational prompt.
Nano Banana
Google's fast, free conversational image generation and editing model.