Image generation works best when the prompt gives the model a visual decision to make, not only a list of adjectives. GPT Image 2.5 can help you work through a detailed brief that includes subject, setting, composition, visual style, information to show, and the details that need to stay in place. For example, a product prompt can state the item, the intended audience, the lighting, the background, the typography treatment, and the visual hierarchy before you request the first result.
For a reference-led task, identify the visual anchors first. Name the subject or object to preserve, describe the new context, and call out the features that should not drift. For an edit, give one clear instruction at a time. A prompt such as “replace the background with a softly lit kitchen; keep the bottle, label placement, camera angle, and reflections unchanged” provides a more useful direction than “make it better.”
Complex layouts need the same discipline. If an image should include a headline, labels, product information, or an infographic element, say what information belongs on the image and where it should sit in the hierarchy. Review the first version for the largest mismatch, then use the next edit to address that one decision. This approach gives GPT Image 2.5 a clear creative target and gives you a repeatable way to evaluate the result.