GPT Image 1.5: AI Image Generation That Follows Complex Prompts
GPT Image 1.5 is an AI image generator that actually reads your whole prompt. Hand it a long brief with a dozen conditions — who stands on the left, what the mug says, what weather shows through the window — and it composes a single frame that honors them all. It runs in the browser, and every result is saved to your history.
Why It Understands Detailed Briefs
Most generators grab two or three keywords and improvise the rest. GPT Image 1.5 is built on a language model, so it tracks the entire text: object order, counts, spatial relationships, even the logic of the scene. Ask for a ginger cat on the windowsill, a green mug left of the laptop and rain outside — and that is what you get.
That precision saves attempts. Instead of rolling the dice across many regenerations, you write one thorough brief and then tweak small things rather than starting over. The difference is most visible in scenes with several people, interiors with specific furniture placement, and editorial illustrations where every described element matters.
How to Write a Prompt That Lands
Write in plain sentences, as if briefing a human illustrator: what happens, who is involved, where the light comes from, what the mood is. Length is an asset here — the more specific the request, the less the model improvises on its own.
A useful pattern is general to specific: scene and composition first, character details next, style and atmosphere last. When a result is almost right, do not restart from scratch — copy the prompt from history, change a phrase or two and rerun. A couple of iterations usually dials the brief in to an exact hit.
Up to 16 Reference Images per Run
The model accepts up to 16 of your images, each up to 10 MB. That unlocks composite workflows: drop in a product photo, an example of the background you want and a picture with the right color mood, then tell the model how to combine them. Several angles of one object help it grasp the shape.
References also power edits: upload a shot and describe the change in words — clear the desk, swap the outfit, repaint the walls. The clearer the instruction, the cleaner the edit. Results land in your history, ready to download or send through another refinement round.
Aspect Ratios and Two Quality Levels
Three frame formats are available: square 1:1, portrait 2:3 and landscape 3:2. Square suits avatars and feed posts, portrait works for people and product cards, landscape fits article covers and slide decks. You pick the format in the form before generating.
Quality toggles between Medium and High. Medium is faster and fine for drafts, composition hunting and quick previews. High produces a more refined image — switch to it for final versions, close-ups and anything headed for print or a prominent placement. The price depends on the quality you choose.
Where This Model Shines
It performs best wherever faithful execution of a spec matters: story-specific article illustrations, multi-character scenes, infographic-style sketches, storyboard frames. Designers use it for fast mockups — describe a screen, a cover or a package and get a discussable draft in one pass.
For shops it is a way to stage products: upload a photo and ask to place it on a marble table by a window, or into a model's hands. For bloggers it is a factory of covers that match the post's topic exactly instead of approximately. Start simple and keep adding conditions until you find the ceiling.
How many reference images can I attach?
Up to 16 per generation, each up to 10 MB. You can mix roles: the product from one photo, the background from another, the palette from a third. Explain in the prompt what each image is for, and the model will combine them accordingly.
What is the difference between Medium and High quality?
High renders more detail and costs more; Medium is quicker and cheaper. A practical routine: explore compositions on Medium, then regenerate the winning prompt from your history on High for the final version.
Does a longer prompt really help?
With this model, yes. It is specifically strong at holding many conditions at once, so extra detail about placement, lighting and mood translates into control rather than confusion. Vague one-liners waste its main advantage.