ChatGPT Images 2.5 adds more control over creative edits

What changed

The announcement adds three ways to make an image brief more specific: comments attached to parts of an image, sketches that communicate a visual idea, and templates for common creative formats. OpenAI also describes improvements in preserving references and keeping edits consistent. These are product claims from OpenAI, rather than independent evidence of advertising effectiveness.

For an advertiser, the useful test is whether a requested change stays local. For example, a team may want to change a background while keeping a product’s shape, label and colour intact. The review should compare the untouched areas as carefully as the edited area. A visually attractive output can still be unsuitable if it quietly changes packaging, a price, a product feature or required text.

A sketch can help communicate composition, but it does not replace an approved brand brief. Similarly, a template can provide a starting structure without knowing the constraints of a particular placement. The intended format, safe area, message hierarchy and final export still need to be checked by the person preparing the campaign. The demonstration image illustrates editing behaviour; it is not a campaign result or a promise of consistent output.

Why it matters for advertisers

These controls could reduce the time spent explaining an edit, provided the team has a repeatable approval process. A useful evaluation would start from one approved reference and request a small set of clearly defined variations. Record how many outputs need correction and how long approval takes. Compare that workflow with the team’s current method before assuming that faster generation produces faster delivery. Keep any improvement in production efficiency separate from claims about clicks, conversions or sales.