GPT Image 2.6 Edits Can Be Made Auditable With Change Contracts
A developer guide argues that precise image editing with GPT Image 2.6 should be governed by explicit rules about which pixels may change and what must stay intact, rather than relying on prompts alone. It proposes pairing natural-language instructions with a transparent PNG annotation layer and checking results against preservation rules. The article describes server-side routing that maps business intents such as preview or final to allow-listed model variants, Flare for rapid iteration and Sunburst for detail-focused finals. It also recommends structured change contracts with source and markup hashes, plus local validation of annotation files against the API's dimension and size limits. Production guidance additionally covers secure remote input fetching and recording usage rights.
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