If you are building an app that edits product photos, regenerates UI mockups, or converts assets into a new visual style, the hard part is usually not the prompt. It is getting reliable inputs and outputs into a repeatable API workflow.
This guide walks through a practical image-editing pipeline using gpt-image-2 through Ace Data Cloud's OpenAI-compatible Images Edits API. The goal is simple: send one or more reference images, describe the edit, and receive a generated image URL that your app can store, show, or pass into the next step.
What you can do
The Images Edits endpoint accepts an existing image plus an instruction. With gpt-image-2, the docs highlight a few useful behaviors for production workflows:
Keep the original layout and composition more stable while changing colors, backgrounds, or style.
