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How to Build a Repeatable Image-Editing Pipeline Using GPT-Image-2 API

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A practical developer guide published on DEV Community outlines how to build image-editing workflows using the gpt-image-2 model via Ace Data Cloud's OpenAI-compatible API. The pipeline allows developers to submit one or more reference images alongside a text instruction and receive an edited image URL in return. Key features of gpt-image-2 highlighted in the guide include stable layout preservation, accurate text retention, and support for both image URLs and base64 data as inputs. The guide provides sample curl requests, JSON payloads, and a breakdown of essential API fields such as model, image, prompt, and size. Developers are advised to log task and trace identifiers alongside output URLs to simplify debugging in production environments.

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How to Build a Repeatable Image-Editing Pipeline Using GPT-Image-2 API · ShortSingh