How to Prompt ChatGPT Images 2.5
A working structure for Images 2.5 prompts: intent, subject, layout, exact text, style, and the constraints that stop the model from guessing. With before-and-after rewrites.
By Depikt Team
What changed, in one sentence
ChatGPT Images 2.5 is better at doing precisely what you say and, importantly, at leaving alone what you do not mention. OpenAI describes it as following editing instructions more reliably, keeping reference subjects recognizable, and handling more complex layouts. (The launch details are in what's new in Images 2.5.)
For prompting, that moves the effort. In earlier models you spent words fighting drift. Now the words that pay are the ones that remove a decision from the model: what the image is for, what the text says, what the reference is, what must not change.
This guide is the structure we use in the Prompt workspace. It works typed by hand too.
The six-part structure
Not every prompt needs all six. Every prompt that fails is missing at least one.
1. Intent
One line: what kind of image this is and what it is for. "Editorial poster for a print run." "App store screenshot." "Product photo for a white-background listing." Intent sets the defaults for everything below, and the model uses it. A "poster" gets typographic hierarchy; a "photo" gets a lens.
2. Subject
Who or what, with the two or three details that make it this subject and not a generic one. "A ceramic pour-over dripper, matte sand glaze, on a walnut board" beats "a coffee product." If a reference image supplies the subject, say so here (see part 6).
3. Composition and ratio
Aspect ratio, framing, camera position, where the subject sits. State the ratio even in ChatGPT; the model does not read your mind about vertical versus square. Our aspect ratio guide was written for GPT Image 2 and the recommendations still hold: 2:3 for posters, 4:5 for feed posts, 16:9 for slides and thumbnails, 1:1 for marks and icons.
4. Exact text
If text should appear, quote it verbatim, give each piece a position and relative size, and close the door on extra text. Images 2.5 handles defined layouts better than 2.0; it does not read your intent from a blank corner.
5. Style and medium
Medium first, then the two or three properties that define the look: "risograph print, two inks, visible grain" or "35mm photo, Portra 400 look, soft window light." Avoid stacking six adjectives; pick a medium and let it carry the style. The vocabulary cheat sheet is model-agnostic and still the best place to steal precise words.
6. Constraints and preservation
What to avoid, and, for edits, what to keep. This is where Images 2.5 earns its update. Because the model is better at preserving unmentioned details, an explicit PRESERVE list is more likely to be honored, which means it is worth writing one. The CHANGE / PRESERVE / MATCH framework covers this in depth; the short form is: name the change, list what stays, and say the new elements must match the old ones in light and grain.
Five rewrites
Rough idea on top, Builder-style prompt underneath. These are our examples, not OpenAI's.
Poster
Rough: "a poster for my pottery open studio"
Product photo
Rough: "product shot of our water bottle"
Infographic
Rough: "infographic on how a heat pump works"
Note the footer. If the image carries real-world information, give the model the exact source line rather than letting it invent one.
Reference-led portrait
Rough: "put my friend in a 1970s magazine cover" (with a photo attached)
Edit
Rough: "change the sky to sunset" (with a photo attached)
Mistakes that still waste generations
- Describing the end state only. "A photo of Sam in Tokyo" tells the model nothing about which parts of the attached photo of Sam matter. Say what the reference is for.
- Adjective stacking. "Stunning, cinematic, ultra-detailed, 8K" adds nothing a lens, a light, and a medium would not add better. The 2.0-era list of prompt mistakes still applies.
- Unquoted text. If the words are not in quotes, the model treats them as a description and may paraphrase.
- Contradictions. "Minimal" and "richly detailed" in the same prompt. The Critique mode flags these first because they cap the score of everything else.
- No ratio. You get a square. You wanted a poster.
- Forgetting PRESERVE on turn four. Multi-turn consistency improved; it did not become memory. Restate what stays on every edit.
A note on prompt length
You may see advice that Images 2.5 prefers short prompts. OpenAI has not said that. Our experience is that the number of decisions you leave open is what matters, not the word count. A 120-word prompt with no contradictions and every text string quoted will beat a 30-word prompt every time. What you should cut is repetition and vibes, not specification.
Use the tools
- Paste a rough idea into the Prompt workspace and it will produce a prompt in this structure, with the intent stage shown so you can see what it inferred.
- Paste an existing prompt into the Critique mode for a score across intent fidelity, clarity, contradictions, composition, reference handling, edit preservation, text and layout, style coherence, factual integrity, and efficiency.
- Browse the Library for 500 worked examples from the GPT Image 2 era, each with a note on why it works, and remix any of them for 2.5.
Sources
- OpenAI, "Introducing ChatGPT Images 2.5," September 8, 2026: openai.com/index/introducing-chatgpt-images-2-5
Build a prompt that follows this guide.
Paste a rough idea. Get back a structured prompt.
More in Images 2.5
ChatGPT Images 2.5: What's New and What It Means for Prompting
OpenAI released ChatGPT Images 2.5 on September 8, 2026: better reference fidelity, edits that leave the rest of the image alone, more consistent multi-turn editing, more accurate layouts, and up to 50% lower latency. Here is the launch, sorted by what it means for the prompt you write.
Images 2.5Precise Edits and Reference Images in ChatGPT Images 2.5
OpenAI's two biggest claims for Images 2.5 are better reference fidelity and edits that change only what you asked for. Both depend on the prompt saying what the reference is and what must stay. Here is how to write those prompts, with examples for identity, style, product, composition, and sketch references, and a routine for multi-turn edits.