GPT Image 2.5 prompts — 26 for posters, products, layouts, UI

OpenAI's GPT Image 2.5 is on eroq as GPT Image 2.5 Sunburst, precise and the lineup's strongest at lettering, and GPT Image 2.5 Flare, the dramatic one. Both cost 31 credits / image and typically take about 15 seconds. These 26 prompts cover posters, products, infographic-style layouts, UI mockups and key art, each with its model, a format and why it works.

How these prompts are built

Sunburst prompts read like a design brief: subject, placement, background, light, then the exact words in double quotes with the type described. Flare prompts open with light and mood. Text stays at a few words per element. Set the ratio in the Format control (which ratio for what) and give lettering two to four takes. Running every prompt once (18 on Sunburst, 8 on Flare) costs 806 credits, about $8.06 at the entry pack.

Posters

1. Botanical poster (Sunburst, 3:4): one object, two text lines, lots of air.

A minimalist exhibition poster: a single monstera leaf centred on warm cream paper, fine grain, the title "GREENHOUSE" in thin wide serif at the top, "Spring exhibition" in small caps beneath.

2. Railway travel poster (Sunburst, 3:4): flat colour, one clean word.

A mid-century travel poster of a red train crossing a stone viaduct above a pine valley, flat red, teal and cream blocks, screen-print texture, "ALPINE" in bold rounded capitals along the bottom.

3. Neo-noir film poster (Flare, 3:4): one hard light for Flare to dramatise.

A neo-noir film poster: a detective's silhouette in an alley doorway, steam rising through a single hard spotlight, rain streaks, red and black palette, the title "LAST CALL" in tall condensed type at the bottom.

4. Club night poster (Flare, 3:4): atmosphere first, a one-word name.

A gig poster: a lone DJ silhouetted against violet and orange lasers cutting through haze, raised hands in the foreground, grainy and loud, "NIGHTSHIFT" in heavy distorted capitals at the top.

5. Farmers market poster (Sunburst, 3:4): two type styles for two jobs.

A cheerful farmers market poster, flat illustrated crates of tomatoes and peaches under a striped awning, warm yellow background, "FRESH SATURDAYS" in chunky slab serif, "8 AM TO 1 PM" small beneath.

6. Astronomy talk poster (Sunburst, 3:4): black space makes type crisp.

A clean poster for an astronomy talk, a crescent moon on pure black ringed by thin white orbit lines, "MOON NIGHT" in a light geometric sans, "Free entry" small at the bottom.

Product shots

7. Serum bottle (Sunburst, 1:1): a small label, evenly lit.

A frosted glass serum bottle with a gold dropper on wet slate beside a rosemary sprig, soft diffused top light, water droplets, the label reading "ROSEMARY OIL" in small black serif, skincare catalogue photograph.

8. Headphones launch (Flare, 4:3): rim light turns an object into an event.

Matte white headphones floating above a black reflective floor, a hard rim light tracing their curve, cyan haze behind, deep shadows, dramatic tech launch hero shot.

9. Desk flat-lay (Sunburst, 16:9): placement words keep it orderly.

A top-down photograph of a compact keyboard with sage green keycaps centred on a light oak desk, a ceramic mug upper right, a closed notebook lower left, soft window light, crisp shadows.

10. Cast-iron teapot (Sunburst, 4:3): quiet light for a calm product.

A cast-iron teapot and two small cups on a bamboo tray, a thin ribbon of steam, warm lantern light from the left, dark background, serene tea ceremony product photograph.

11. Sunglasses campaign (Flare, 9:16): golden-hour contrast in a vertical frame.

Tortoiseshell sunglasses half-buried in pale sand at golden hour, a long shadow across the ripples, a sliver of turquoise sea in one corner, warm high-contrast light, summer campaign still.

12. Soda can (Sunburst, 3:4): two words on a curved surface.

A cold can of lemon soda beaded with condensation on pastel yellow, a sliced lemon beside it, bright studio light, the label reading "SUNNY POP" in bubbly white letters.

Infographic-style layouts

13. Recipe card (Sunburst, 3:4): one-word steps, not sentences.

An illustrated recipe card: lemon pancakes with blueberries at the top, three numbered steps below with a whisk, a pan and a plate, labelled "MIX", "FLIP" and "STACK", the title "LEMON PANCAKES", cream paper.

14. Brewing methods (Sunburst, 16:9): matching panels, matching labels.

An infographic-style panel comparing a French press, a pour-over cone and a moka pot in flat illustration, side by side, labelled "PRESS", "POUR" and "MOKA" in bold sans, brown and cream palette.

15. Lighthouse timeline (Sunburst, 16:9): numbers make reliable labels.

A horizontal timeline of a lighthouse's history, four small line drawings along one rope line, labelled "1850", "1902", "1960" and "TODAY", white line art on navy, museum wall style.

16. Annotated bicycle (Sunburst, 4:3): a diagram, not an essay.

An annotated side-view diagram of a vintage road bicycle, thin leader lines to the saddle, gears and handlebars, labelled "SADDLE", "GEARS" and "BARS" in small caps, blueprint blue, technical illustration.

17. Three-step explainer (Sunburst, 16:9): one picture and one word per step.

A three-panel explainer for a plant delivery service: a phone, a delivery box, a potted fern in a sunny room, captioned "ORDER", "SHIP" and "GROW", soft green palette, friendly rounded illustration.

UI mockups

18. Habit tracker (Sunburst, 9:16): a ring, three cards, four labels.

A smartphone mockup of a habit-tracker app, a progress ring reading "7 DAYS" at the top, three rounded cards labelled "READ", "WALK" and "WATER", soft lavender gradient, clean product design.

19. Smartwatch face (Sunburst, 1:1): big numbers are the easiest text.

A round smartwatch on a wrist, the dark face showing a large "06:45" with a small sunrise icon and the word "RUN" beneath, soft morning light, shallow depth of field.

20. Landing page (Sunburst, 16:9): headline left, device right.

A desktop landing page mockup for a note-taking app, white layout, "THINK IN PAGES" headline on the left above a green button reading "TRY IT", a floating tablet on the right.

21. Dark-mode player (Flare, 9:16): UI can be moody too.

A dark-mode music player on a smartphone held in a neon-lit hand, glowing sunset album art, the track title "AFTER RAIN" beneath it, purple and pink light spill, moody product shot.

22. Dashboard on a laptop (Sunburst, 16:9): a screen in a real scene, one heading.

A laptop on a concrete desk showing an analytics dashboard, three rounded cards with simple line charts, a slim icon sidebar, the heading "WEEKLY OVERVIEW" at the top, soft daylight.

Key art and editorial

23. Game key art (Flare, 16:9): rim light against dusk.

Game key art of a knight in battered armour on a cliff edge, a dragon's silhouette in storm clouds behind, swirling embers, orange rim light against blue dusk, "ASHFALL" in carved stone letters.

24. Book cover (Flare, 3:4): negative space holds the title (more on covers).

A thriller book cover: a red canoe on a black glassy lake in heavy fog, a tiny standing figure, vast empty space above, "STILL WATER" in thin white serif at the top, "M. HALE" at the bottom.

25. Magazine cover (Sunburst, 3:4): a masthead and one cover line.

A food magazine cover, an overhead shot of a rustic plum tart on linen in soft daylight, the masthead "TABLE" in bold serif across the top, one cover line "Autumn baking" lower left.

26. YouTube thumbnail (Flare, 16:9): three huge words, one emotion (thumbnail rules).

A YouTube thumbnail of a hiker on a knife-edge ridge at sunrise, arms raised, a sea of cloud below, high contrast, "I MADE IT" in huge white block capitals with a black outline, right side.

More lettering advice: GPT Image 2.5 vs Flux 3 for AI text. Paste any prompt into the image studio.

FAQ

Should I use Sunburst or Flare for these prompts?

Use the one each prompt names: Sunburst for layouts, labels and interfaces, Flare for drama. They cost the same, so testing a prompt on both is fair; Sunburst vs Flare explains the split.

How do I get the text in these prompts to spell correctly?

Keep quoted words short and run a few takes. A misspelled take still counts as a render, so keep the clean one.

Can I run these prompts through the API?

Yes. Send the prompt to POST /v1/images/generations with "model": "gpt-image-2-5-sunburst" or "model": "gpt-image-2-5-flare" and an aspect such as "3:4", then poll the job until it succeeds. See /docs/images.