How to Build an Image Editing Pipeline with gpt-image-2
When you are building a product flow that needs to modify an existing image, the hard part is usually not the prompt; it is keeping the original structure stable while making a precise change. The Ace Data Cloud OpenAI Images Edits API is useful for that kind of workflow because it accepts one or more reference images plus an editing instruction, then returns an edited image result through an OpenAI-style interface. This guide focuses on the practical path: using gpt-image-2 with JSON image URLs, explicit sizing, and a response your application can store or display. What you can do The edits endpoint is designed for image-to-image work rather than blank image generation. In practice, that means you can: Change the visual style of an image while keeping the layout intact. Convert an infographic or product visual into a different theme, such as dark mode. Use multiple reference images in a single request, up to 16 images for GPT Image series models. Request a speci...
