Can GPT Image 2.6 Fix Poster Text Without Changing the Design?

GPT Image 2.6 can revise text in a flattened poster image, such as changing an event date, but it generates a new raster image and cannot guarantee that all other wording, spacing, graphics, or pixels will remain unchanged. Effective edit prompts quote the old and replacement text exactly, specify protected copy and design elements, and limit the requested change, while published examples illustrate useful translation, scene-editing, and text-generation capabilities without proving pixel-identical preservation. The recommended workflow is to retain the approved original, review the returned image at full size against the source, verify every text line, layout detail, dimensions, and print requirements, and use aligned difference views to locate unintended visual changes. For precise logos, licensed fonts, editable typography, QR codes, legal copy, or production printing, the final correction should be made in a layered design file rather than relying solely on an AI-generated edit. Teams should also test functional elements such as QR codes in the final exported file, provide essential event information as accessible webpage text where applicable, maintain distinct approved versions for each channel and crop, and document prompts, source files, reviewers, and approval status to prevent outdated assets from being published.

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