GPT Image 2.6: Turn Precision Edits into Auditable Change Contracts
GPT Image 2.6 makes precise image editing more useful when your application can answer two questions: where may pixels change, and what must remain intact? A prompt alone is weak evidence. “Replace the mug” can accidentally alter a hand, label, shadow, or nearby text, while an HTTP 200 only proves that the request completed. A stronger pattern is to treat each edit as a small change contract.…
GPT Image 2.6 introduces a new approach to precise image editing by treating each edit as a small change contract, incorporating natural-language instructions along with a transparent PNG annotation layer. This method ensures that the edited output adheres to explicit preservation rules, making it particularly valuable for product imagery, campaign localization, and UI mockups.
The system offers two model options, Flare for rapid candidate iteration and Sunburst for a more detail-oriented workflow that fits final edits. To maintain consistency and prevent misuse, the server-side mapping of business intent to an allow-listed configuration is recommended, ensuring that users cannot select unsupported or unexpectedly expensive variants.
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