GPT Image 2.5 Prompt Examples: 10 You Can Paste As They Are

The first library mockup I generated came back with two well-known novels in its "Due back soon" list, real authors and all, with invented cover art on both. I had not asked for a single real title. The model needed two plausible book rows and reached for books it knows.

That is why this page exists. Below are ten prompts and the render each one produced, briefed the way I would brief a person: what the picture is for, what has to be in it, and what must not be. Between them they cover what this generation is supposed to have got better at: text that comes back spelled right, layouts that hold, and materials that read as materials.

Every render is the first attempt at the prompt printed above it. Five of the ten came back wrong in some way. One I fixed with an extra clause, one I improved by changing the canvas, and three are still wrong in the pictures below, where I have left them and said so.

How these prompts are built

Four parts, in this order: the scene, the subject, the details worth naming, the constraints. GPT Image 2.5 reads a prompt as a brief rather than a bag of keywords, so the parts can be sentences or bullets, whichever you find easier to edit later. The tutorial covers the habits behind that shape; what these ten renders tested is narrower.

Every line I put in quotation marks came back correct, spelling included. Seven of the ten carry text and not one needed a second roll for a misspelling. The app screen is the exception that shows the shape of the rule: I quoted two strings and left the rest of the interface to the model, and the rest is where the real book titles came from.

A negative clause only protects what it names. Every prompt here bans something, and every failure further down is something I did not think to ban. Anything you leave out, the model fills in with something plausible. That is fine for the weave of a chair. It is expensive for a book title.

1. Documentary portrait

An About page with a stock face on it is worse than an About page with no face.

A candid documentary photograph of an elderly beekeeper standing among hives
in a sunlit orchard in late summer. He wears a worn cotton work shirt with the
sleeves rolled up and holds a smoker; his forearms and face show deep tan
lines, sun spots and creased skin. 35mm film look, eye-level camera, medium
shot, 50mm perspective, soft natural backlight through the fruit trees,
shallow depth of field, fine grain, natural colour. Unposed and ordinary, not
a styled portrait. Keep real skin texture, worn fabric and the wear on the
equipment. No retouching, no beautification, no text, no logos, no watermarks.

The instruction that earns its place is the last one. Ask for a portrait and you get skin like a magazine cover; ask for pores, sun damage and worn fabric and you get a person. The smoker is dented and sooty because I said the equipment should look used.

2. Infographic prompt: how a heat pump works

For explainer pages and slide decks, where a diagram has to carry the idea on its own.

An explanatory cutaway infographic, flat vector style on an off-white
background, filling the whole width of the canvas, showing how a domestic heat
pump takes heat out of cold outside air and delivers it indoors. Show the
outdoor unit on the left, the refrigerant loop across the middle with the
compressor on it, the indoor unit on the right and warm air entering a living
room, connected by arrows that make the direction of flow obvious. Label
exactly these parts, spelled as written: "Cold outside air", "Refrigerant",
"Compressor", "Heat exchanger", "Warm air indoors". Title at the top: "Where
the heat comes from". Use the full canvas with balanced margins and no large
empty area. Readable type, clear arrows, two blues and one warm orange.

All five labels are spelled correctly and the cold side is blue where the hot side is orange, which is the part a diagram gets wrong when it is only decorating. The layout instruction did not land: there is still dead space along the bottom, and this is already the 3:2 rerun of a 2:3 attempt that wasted a third of the canvas. Generate wide, then crop the strip yourself. I have not found a wording that buys it.

3. Classroom diagram with exact labels

A teacher will forgive an ugly drawing. Not a wrong label. This is where the exact-label habit pays off hardest: name the six stages and you get those six stages, not the model's idea of how many there are.

A single-page classroom diagram for a high-school geography lesson, white
background, clean icons, printed-handout look. Subject: how water moves
through a landscape. Show the sea, the sun, clouds, rain over hills, a river
returning to the sea, and water soaking into the ground, joined by arrows that
follow the cycle. Label exactly these six stages, spelled as written:
"Evaporation", "Transpiration", "Condensation", "Precipitation",
"Infiltration", "Runoff". Title at the top: "How water moves through a
landscape". Type large enough to read from the back of a classroom, no
decorative extras, nothing that gets in the way of understanding.

Six labels, six correct spellings, each one attached to the right part of the picture. Listing the labels as a set is what makes this work: a prompt that says "label the stages of the water cycle" gets you the model's idea of the stages, which may be four or seven of them.

4. App screen mockup prompt

For pitch decks, landing pages and design conversations, before anyone opens a design tool.

A realistic mobile app screen for a small public library, presented inside a
plain smartphone frame on a soft neutral background. The screen is the "Today
at the library" page: a simple header, a list of four events with a small icon
and a time for each, a compact "Due back soon" section with two book rows, and
opening hours at the bottom. Every book title, author name and library name
must be invented for this mockup: do not use the name of any real book, any
real author or any real person, and do not reproduce any existing book cover.
Design direction: white background, one calm green accent, clear hierarchy,
comfortable spacing, almost no decoration, the look of a real product rather
than a template. All interface text must be real English words, correctly
spelled, no placeholder gibberish.

Times line up, the hierarchy is sane, the tab bar has real labels, and nothing reads as lorem ipsum. The sentence about invented names is there because of what happened the first time I ran this, which is the first item in the failures section below.

5. Investor slide prompt with real numbers

Deck slides look templated because most of them are. This one had to not.

A realistic investor-deck slide on a clean white canvas, modern grotesque
sans-serif, tidy layout. Slide title: "Market size, three ways". Content:
concentric circles in muted blue-grey showing three nested market sizes,
labelled exactly "TAM $18B", "SAM $4.2B" and "SOM $260M"; below them a plain
bar chart showing steady growth from 2022 to 2027 with the years labelled; a
small footnote line in the footer reading "Illustrative figures". Leave an
empty space in the lower right for a logo. No clip art, no stock photos, no
gradients, no drop shadows, no template styling.

Every number I dictated is on the slide, correctly. None of them is drawn to scale: $4.2B is a quarter of $18B and its circle is nowhere near a quarter of the area, and the bar chart's axis tops out at 700 with no unit attached to anything. Treat generated charts as layout, and rebuild the data in a real chart before anybody with a spreadsheet sees it.

6. Four-panel comic

For social posts and explainers where a sequence lands better than a single frame.

A four-panel vertical comic strip, warm flat colours, clean line art, no
speech bubbles and no text anywhere. The story, one beat per panel: panel one,
a cat watches a round robot vacuum leave its dock and sits upright, ears
forward, alert. Panel two, the cat pats the vacuum once with a front paw,
testing it. Panel three, the cat is riding the vacuum across the living room
with its tail out for balance, thoroughly pleased. Panel four, the vacuum has
returned to its dock and the cat sits beside it, upright and innocent, as if
nothing happened. Consistent character design and consistent room across all
four panels.

The cat's markings and the room survive all four panels, and writing one action per panel is what buys that: pacing described as a story ("the cat gradually gets braver") collapses into four near-identical frames.

Note what this test is and is not. Four panels inside one image is the easy version of character consistency. The same character across four separate renders is a different problem, which is what the character sheet below is for.

One more thing the negative clause did not buy: zoom into the bookshelf and the spines carry rows of letter-shaped marks. Nothing reads as a word, but "no text anywhere" did not come back as nothing. At thumbnail size it does not matter. On a poster it would.

7. Picture-book character sheet

The anchor image for a series, made once and reused as a reference for every later page.

A character introduction illustration for a children's picture book: an
original young lighthouse keeper, about ten years old, in a mustard yellow
raincoat and turned-down rubber boots, carrying a small brass lantern, with a
grey gull perched on her shoulder. Her expression is calm and kind, a little
brave. Hand-painted watercolour look, soft outlines, warm coastal palette,
slightly oversized head in the usual picture-book proportion, expressive face.
She stands against a simple lighthouse and sea background that keeps her the
clear focus. The character must be entirely original and must not resemble any
existing copyrighted character.

Write the wardrobe as a list of fixed items, because those are what you will be repeating in every later prompt to keep her recognisable. The clause about copyrighted characters is not decoration: "a brave young hero in the woods" drifts toward famous characters quickly, and an original design is the whole point of a series you intend to own.

8. Retail packaging

For product concepts and shelf mockups, where the material sells the idea.

A collectible model sailing boat sealed in a blister pack, photographed as
high-end retail product photography: moulded clear plastic shell over a
printed backing card, realistic plastic and painted-metal materials, fine
paint wear on the hull edges, studio lighting, shallow depth of field, crisp
label printing, the feel of a nostalgic keepsake edition. The backing card
carries exactly one line of text, spelled exactly: "Harbour Series No. 3". It
appears once, in a confident sans-serif, easy to read. The design must be
original with no trademarks, no brand marks, no other text and no watermarks.

The line is exact, the plastic reads as plastic, and the paint wear on the hull is where wear actually happens, along the edges that would knock against things. Packaging is a good test of whether GPT Image 2.5 understood your materials, because a flat illustration of a box and a photograph of a moulded shell are easy to tell apart. Naming the material twice, once for the shell and once for the model, is what stops the whole thing rendering as a flat illustration of a box.

9. Logo prompt on a clean background

A concept to argue about, not a file to hand a printer.

An original logo for a neighbourhood bakery called "Salt & Sprout", centred on
a plain white background. Warm, simple and built to last: clean vector shapes,
a clear silhouette, comfortable negative space, flat colours with no
gradients, and as few strokes as the idea allows so it survives being shrunk
to a favicon. The wordmark must read exactly "Salt & Sprout", spelled
correctly, appearing once. Deliver only this one centred logo with generous
margins. No mockup, no scene, no shadow, no checkerboard pattern.

The ampersand survived, which is worth checking every time, and the mark is simple enough to read at favicon size. What the generator on this site hands back is a flat image, not a file with an alpha layer, so ask for a plain background you can cut out cleanly later and keep the margins generous. The background came back at #FCFCFC rather than pure white, which matters if you plan to key it out. It is a concept to react to, not an asset to hand a printer.

10. Greeting card

For seasonal sets, where mood carries the picture and the line has to be exact.

A greeting card image for midwinter: a well-loved knitted rabbit with thinning
wool and small visible mending stitches sits in an open keepsake tin on a
window seat, snow falling outside the window behind it. The picture is about a
child having grown up while the keepsake stayed. Warm, nostalgic, gentle mood.
High-quality card photography: soft cinematic light, believable fabric and
metal texture, shallow depth of field, a few soft bokeh highlights, printable
composition. The card carries exactly one line of text, spelled exactly: "Some
winters you keep". It appears once, set cleanly into the layout and easy to
read.

I named the rabbit, the tin and the window seat. What the sentence about a child having grown up produced is everything around them: the folded blanket, the old books, the candle out of focus in the corner. That sentence is doing more work than another three adjectives would. The specific wear I asked for is the part that did not land: there are decorative stitches on the rabbit, but the wool is not thinning and nothing reads as a repair. Material damage is harder to get than mood.

How to adapt these GPT Image 2.5 prompts

Each of the ten has one line doing most of the work. Swap that, keep the rest, and the prompt carries over to your own subject.

Two habits travel with all ten. Keep the quoted text and the sentence that says it appears once, because that is what protects spelling. And keep the negative clause, remembering that it only covers what it lists: a prompt that bans watermarks does not ban stray text.

What these ten say about GPT Image 2.5

Text is the headline. Ten prompts, seven of them carrying text, and every quoted line came back correct on the first attempt: six geography terms, an ampersand in a wordmark, a slide full of figures, and the string "Harbour Series No. 3" with the point after its abbreviation intact. I did not have to re-roll a single one for spelling, which is not how I used to budget attempts.

Layout is close behind. The app screen has real hierarchy, the slide has deliberate spacing, the classroom diagram puts each label next to the right object.

Two weaknesses are worth planning around. Anything that looks like data is not data: the slide's circles and bars are drawn for composition, so rebuild them properly before anyone reads numbers off them. And mood arrives far more reliably than specific physical damage: the one time I asked for wear on an object, on the rabbit, it did not arrive. Give that kind of detail its own sentence and expect to run it twice.

Where GPT Image 2.5 slipped

Five failures worth stealing as checks. One I fixed, one I only improved, and three are still in the pictures above.

It filled empty slots with real books. The first library mockup listed two well-known novels by their real authors, with invented cover art for both. Nothing in my prompt asked for real titles; the model needed plausible book rows and reached for books it knows. Anywhere your mockup has a list, a shelf or a wall of logos, assume real names will appear unless you forbid them.

A wide diagram in a tall canvas. My first heat pump infographic ran at 2:3 and left the bottom third of the image empty. The fix is the canvas, not the wording: I asked twice for the full canvas to be used, and the 3:2 version still left a strip along the bottom.

Charts that look like data. The slide's circles and bars are drawn for composition, not from the numbers on them. They are fine as a layout; they are not a chart.

Requested wear that did not arrive. Thinning wool and mending stitches on the rabbit turned into neat decorative stitching. Mood and lighting land nearly every time. Specific physical damage needs its own sentence and sometimes a second attempt.

Text where I banned text. The comic prompt says "no text anywhere" and the bookshelf spines still carry letter-shaped marks. A negative clause narrows the odds; it does not switch a behaviour off.

Settings behind these GPT Image 2.5 renders

FAQ

Do I have to write prompts this long? No, but length is not what makes these work. The structure is: the scene, the subject, the details you would notice, then the constraints. A short prompt with quoted text and a negative clause beats a long one made of adjectives.

Why is my text coming out misspelled? Put it in quotation marks, say it appears exactly once, and describe the type, then run it at high quality. Most misspellings I see come from prompts that mention text without quoting it.

Can I get a transparent background? The API exposes a background parameter for this; the generator on this site does not, so what comes back here is a flat image. Ask for a plain background and generous margins, and cut it out afterwards.

How do I keep a character consistent across a set? Generate a character sheet first, like the one above, then pass that image back as a reference for every later render and repeat the fixed items in words: same coat, same boots, same lantern.

Which of these needed the most attempts? Every picture on this page is the first attempt at the prompt printed above it. Two of those prompts are second drafts: the app screen got its invented-names clause after the first run reached for real books, and the infographic was rewritten for a wider canvas. Nothing was re-rolled in the hope of a better roll.

Should I use Flare or Sunburst for these? Flare rendered all ten, text included, and it is quick enough to iterate on wording. Switch to Sunburst when the detail is the point: fabric, small mechanical parts, anything you will look at closely at full size.

Can I use these renders commercially? Two checks come before the legal one. First, look for what you did not ask for: the final versions on this page carry no real brand, character or photograph, but the first library mockup did, and that is the failure that bites. Second, a generated wordmark can land close to a real trademark without anyone intending it, so search the name and the silhouette before a logo goes near a client. Beyond that it depends on the terms you generated under and your own jurisdiction. Note too that output from this generation carries C2PA metadata and an invisible AI watermark, which some clients and platforms detect.

One of my instructions is being ignored every time. What now? Some constraints lose no matter how you word them. In these ten it was canvas usage: I asked twice for the full canvas with no large empty area, and got dead space along the bottom both times. When an instruction keeps losing, change the setting instead of the sentence. For that one the setting was the aspect ratio.

Getting access

You do not need a subscription or an API key to run any of these: the generator on this site is GPT Image 2.5, and the first render is free. If you want the settings explained before you start, the tutorial covers models, quality tiers and troubleshooting, and the workflow guide covers retouching, background swaps and product sets.