GPT Image 2 Prompts

September 15, 2026

GPT Image 2 is the first image model I have used where the prompt matters less for "does it look nice" and more for "does the layout hold". Type sits where you put it. Chinese characters render as Chinese characters. Small labels in a chart stay legible when you zoom in. That shift changes what a prompt is for — you stop asking for a mood and start writing a brief.

Below are 100+ GPT Image 2 prompts I have tested and reused, grouped by what you actually need on screen: posters, portraits, product shots, diagrams, interfaces, characters, 3D, and edits. Copy any line as-is, then swap the nouns. Every prompt names a camera or render setting, a light source, and a layout rule, because those three are what keep GPT Image 2 from drifting into stock-photo mush.

What Makes GPT Image 2 Different

Three things show up in almost every test, and they shape how you should write prompts.

If you want the visual side of that in depth, the poster style breakdown covers how each art direction reacts to the same prompt, and the 35 strategies for design work is the workflow companion to this page. If you are still deciding on a model, the four-way comparison is blunt about where Image 2 loses.

Rule of thumb from a few hundred runs: Image 2 is strongest when the prompt describes an artifact (a poster, a panel, a card) and weakest when the prompt describes a feeling. Write the artifact.

100+ GPT Image 2 Prompts

Eight categories, roughly a dozen prompts each. Prompts are in English and written to be pasted without editing. Bracketed words are the ones you swap.

1. Poster & Typography

The category Image 2 was clearly built for. Say the words out loud in the prompt — if the headline is not in quotes as text, you will get decorative squiggles instead.

Poster work is where gpt image 2 poster prompts earn their keep — for a full library of directions, start with GPT Image 2 poster prompts, then run the same lines through the poster design library to compare art directions before you commit.

2. Photorealistic Portrait

The failure mode here is plastic skin. Naming a lens, a light source, and one imperfection fixes it faster than any "ultra realistic" adjective.

For the wider family of face prompts — different ages, moods, and jobs — the portrait prompts collection and the portrait library are the closest neighbours to this section.

3. Product & E-commerce

Say the surface, the light shape, and the crop. Product prompts collapse into catalogues when you leave those three loose.

Product prompts pair well with a stated use case — packshot, ad, or A+ module. The product advertising guide walks through that split, and the product library is where you can compare formats before batch-generating.

4. Scientific & Diagram

This is the strongest Image 2 category and the least discussed. It will label parts, keep a legend consistent, and draw an arrow that points where you meant. Spell out label text in quotes and say where the legend goes.

Technical work has its own prompts and its own failure modes — the scientific figure prompt guide covers the tricks for long labels, and the scientific review walkthrough shows what happens when a figure has to survive peer review. There is also a dedicated figure-generation write-up worth reading before you send anything to a journal.

5. UI & Interface

Image 2 renders plausible product screens, as long as you name the components and the grid. It will invent filler text if you let it, so give it a language and a length.

Interface prompts are covered in more depth in the UI design library, and the screen-in-a-browser approach is documented in the research deliverables write-up if you need to hand the result to a developer.

6. Character & Mascot

Consistency is the whole game. Lock the silhouette, the palette, and one signature detail, then reuse that sentence every time you need the character again.

Character work benefits from a reference first; the character design library has enough directions to settle the style before the batch run, and the illustration library covers the rendered alternatives.

7. 3D & Isometric

Isometric prompts need an explicit camera. Say "true isometric, 30-degree elevation, orthographic" and the grid will stay consistent across a whole series.

For more directions in this family, the 3D rendering library and the luxury 3D cinematic prompt are good starting points, as is the 3D luxury poster prompt when the render has to carry type.

8. Editing & Style Transfer

Edit prompts work on an uploaded image, so keep them short and legalistic: say what changes, say what stays, and name the finish. Anything left unstated tends to drift.

Edit prompts are also how you get from a flat render to something a designer can work with. That path continues in turning GPT Image 2 results into layered PSD files, and if you are using the older workflow, the PSD layer generation guide still applies. For a styles reference while you edit, see the design prompt library.

How to Write Better GPT Image 2 Prompts

Six habits, in the order they save the most time.

  1. Name the artifact first. "A 27x40 one-sheet poster" beats "a cinematic image" every single run, because it tells the model which set of conventions to apply before any styling arrives.
  2. Quote your text. Any string you want rendered goes in quotation marks with a size and a type category. "STILL AIR" in 96pt grotesque works; a headline about still air does not.
  3. Give one camera or render setting. A lens and aperture for photo prompts, an orthographic projection for isometric ones. One is enough; stacking five rarely changes the output.
  4. State light direction. "Soft window light from camera left" is the cheapest quality upgrade available to you, and it also stops flat frontal lighting from creeping in.
  5. Budget the empty space. Say "40% negative space in the top third for a headline" and you get usable room instead of a subject jammed against the frame edge. This is the trick behind most successful collage-style poster layouts.
  6. Iterate one variable at a time. Change the palette or the crop, never both, or you will not know which edit helped. Keep the working version of a prompt in a file — the discipline behind the 240-prompt creation handbook is exactly this.

If you are rewriting prompts you already have, the prompt writing and editing guide is the closest companion to this section, and the creative visual playbook pushes the same techniques into less commercial territory.

Some formats are worth studying before you write your own. These tested prompts cover the poster and product styles that appear most often in my own runs: cinematic one-sheet poster prompt, brand poster design prompt, luxury minimalist poster prompt, vintage fashion poster prompt, luxury food poster prompt, cinematic poster design prompt, 3D product still-life prompt, luxury food advertising prompt, dark mood product photography prompt, abstract product design prompt and cinematic food and product prompt. Borrow the structure, not the subject.

FAQ

Is GPT Image 2 better than earlier models at text in images?

Yes, and by a wide margin. It handles long headlines, mixed scripts and small chart labels that older models turned into doodles. It is not perfect: unusual typefaces, very long strings and heavy perspective on text still break. Shorten the string or reduce the perspective and the accuracy returns.

How many prompts do I actually need to get a usable poster?

Usually one good one and two or three small edits. The first run settles the layout, then you fix one variable at a time — palette, crop, or the length of the headline. Rewriting the whole prompt from scratch each time is the slowest way to work.

Should I use the same prompt for a whole series?

Keep the descriptive half identical and vary only the subject line. That is how you get a coherent set of twelve product cards or a four-poster campaign that looks deliberate instead of assembled. An attached reference image does the same job more strongly.

What image size works best?

Match the final placement. Posters want 2:3 or 4:5, story formats want 9:16, dashboards and diagrams want 16:9 or 3:2. Generating at the right ratio saves you from cropping away the layout rules you just spent a prompt describing.

Can I use these prompts commercially?

Check the terms of the model and your local rules before you ship anything client-facing, and never prompt for a real person's likeness or a trademarked character. Prompt text like the examples on this page is yours to reuse and adapt.

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