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A Practical Guide to Editing Images with gpt-image-2 over JSON

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Image editing pipelines often fail at the boring part: getting a reference image into the model, preserving the parts you care about, and returning an asset your app can use without a manual download-and-upload step. This guide walks through the OpenAI Images Edits API on Ace Data Cloud with gpt-image-2 , focusing on the JSON workflow where the input image can be a URL or base64 string. The goal is not to generate something pretty, but to build a repeatable editing step that fits into a backend, CMS, product tool, or internal creative workflow. What you can do The edits endpoint accepts an existing image plus an instruction, then returns a modified image. According to the source documentation, the same interface supports gpt-image-1 , gpt-image-2 , and the nano-banana family of editing models. For this tutorial, we will use gpt-image-2 because the documented workflow includes direct JSON URL input, base64 input, multi-reference image arrays, and explicit output sizing. Convert a...
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A Practical Guide to Editing Images with gpt-image-2 over JSON

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Image editing pipelines often fail at the boring part: getting a reference image into the model, preserving the parts you care about, and returning an asset your app can use without a manual download-and-upload step. This guide walks through the OpenAI Images Edits API on Ace Data Cloud with gpt-image-2 , focusing on the JSON workflow where the input image can be a URL or base64 string. The goal is not to generate something pretty, but to build a repeatable editing step that fits into a backend, CMS, product tool, or internal creative workflow. What you can do The edits endpoint accepts an existing image plus an instruction, then returns a modified image. According to the source documentation, the same interface supports gpt-image-1 , gpt-image-2 , and the nano-banana family of editing models. For this tutorial, we will use gpt-image-2 because the documented workflow includes direct JSON URL input, base64 input, multi-reference image arrays, and explicit output sizing. Convert a...
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How to Build an Image Editing Workflow with the OpenAI Images Edits API

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If your app already stores product photos, UI screenshots, or generated artwork as URLs, the slow part of image editing is often not the model call itself. It is the glue code around downloading files, re-uploading them, keeping reference images aligned, and preserving layout while changing only the parts you intend to change. The OpenAI Images Edits API on Ace Data Cloud gives builders a practical way to send an image, a prompt, and a model choice to one editing endpoint. The most useful path for server-side workflows is the JSON request style supported by gpt-image-2 , where the image field can be an image URL instead of a local multipart upload. What you can do The documented editing interface is built around https://api.acedata.cloud/openai/images/edits . With it, you can: Edit an existing image from a direct URL using application/json . Pass up to 16 reference images to GPT Image series models when a composition needs multiple inputs. Use gpt-image-2 for struc...
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How to Build an Image Editing Workflow with the OpenAI Images Edits API

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If your app already stores product photos, UI screenshots, or generated artwork as URLs, the slow part of image editing is often not the model call itself. It is the glue code around downloading files, re-uploading them, keeping reference images aligned, and preserving layout while changing only the parts you intend to change. The OpenAI Images Edits API on Ace Data Cloud gives builders a practical way to send an image, a prompt, and a model choice to one editing endpoint. The most useful path for server-side workflows is the JSON request style supported by gpt-image-2 , where the image field can be an image URL instead of a local multipart upload. What you can do The documented editing interface is built around https://api.acedata.cloud/openai/images/edits . With it, you can: Edit an existing image from a direct URL using application/json . Pass up to 16 reference images to GPT Image series models when a composition needs multiple inputs. Use gpt-image-2 for struc...
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How to Add Remote MCP Servers to Claude Code

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When you are coding in a terminal, the slow part is often not the code itself; it is the context switching: opening a browser to generate an image, searching for references, shortening a link, or preparing media assets for a README. Claude Code already gives you an AI assistant in the terminal. The practical next step is to connect it to remote MCP servers so the assistant can call external tools without leaving your project. What you can do The Ace Data Cloud Claude Code MCP document describes a set of managed remote MCP servers that you can add to Claude Code with HTTP transport. The listed servers cover several common builder workflows: Music: Suno for text-to-song, lyrics, covers, continuation, vocal separation, and Persona workflows. Images: Midjourney , Flux , Seedream , and NanoBanana for image generation, editing, mixing, product background replacement, Chinese prompt understanding, and related creative tasks. Video: Luma , Veo , and Seedance for video ge...
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How to Add Remote MCP Servers to Claude Code

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When you are coding in a terminal, the slow part is often not the code itself; it is the context switching: opening a browser to generate an image, searching for references, shortening a link, or preparing media assets for a README. Claude Code already gives you an AI assistant in the terminal. The practical next step is to connect it to remote MCP servers so the assistant can call external tools without leaving your project. What you can do The Ace Data Cloud Claude Code MCP document describes a set of managed remote MCP servers that you can add to Claude Code with HTTP transport. The listed servers cover several common builder workflows: Music: Suno for text-to-song, lyrics, covers, continuation, vocal separation, and Persona workflows. Images: Midjourney , Flux , Seedream , and NanoBanana for image generation, editing, mixing, product background replacement, Chinese prompt understanding, and related creative tasks. Video: Luma , Veo , and Seedance for video ge...
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How to Build Image Generation and Editing Workflows with the Nano Banana Images API

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If your app needs to turn a prompt into an image, or apply a precise edit to existing image inputs, the hard part is usually not the model call itself. It is designing a small workflow that handles inputs, tracks results, and gives you enough metadata to debug failed generations later. The Nano Banana Images API in Ace Data Cloud exposes both creation and editing through one endpoint: POST /nano-banana/images . You choose the behavior with an action field, send a prompt , and optionally pass model, image, count, resolution, aspect ratio, or callback parameters depending on the job. What you can do The API supports two core actions: generate : create images from a text prompt. edit : edit or combine existing images using image_urls plus a prompt. Both actions use the same base URL, https://api.acedata.cloud , and the same endpoint, /nano-banana/images . Authentication is done with an HTTP header: authorization: Bearer {token} . The documented request headers are accept: applicat...
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