API reference · OpenAI

openai/gpt-image-2.5-sunburst/edit

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGESynchronousOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDopenai/gpt-image-2.5-sunburst/edit

Input Schema

6 parameters · 2 required · 4 optional

Parameter	Type	Required	Description
`images`	string[]	Required	The URLs of the images to use for image-to-image generation or image editing.
`prompt`	string	Required	The text prompt to generate an image from. · Min length: 3 · Max length: 50000 · Default: "Generate a photorealistic image of a gift basket on a white background labeled 'Relax & Unwind' with a ribbon and handwriting-like font, containing all the items in the reference pictures."
`quality`	string	Optional	Rendering quality. `xhigh` and `max` add detail at higher latency and cost. · Options: low, medium, high, xhigh, max · Default: "high" lowmediumhighxhighmax
`resolution`	string	Optional	The resolution of the generated image. Leave unset to preserve the provider's standard dimensions. · Options: 1k, 2k, 4k 1k2k4k
`aspect_ratio`	string	Optional	The aspect ratio of the generated image. · Options: 1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, 21:9 1:11:22:11:33:12:33:23:44:34:55:49:1616:99:2121:9
`output_format`	string	Optional	The format of the generated image. · Options: jpeg, png, webp · Default: "png" jpegpngwebp

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/gpt-image-2.5-sunburst/edit",
    "images": [
      "https://cdn.openai.com/API/docs/images/body-lotion.png",
      "https://cdn.openai.com/API/docs/images/soap.png",
      "https://cdn.openai.com/API/docs/images/incense-kit.png",
      "https://cdn.openai.com/API/docs/images/bath-bomb.png"
    ],
    "prompt": "Generate a photorealistic image of a gift basket on a white background labeled 'Relax & Unwind' with a ribbon and handwriting-like font, containing all the items in the reference pictures.",
    "quality": "high",
    "output_format": "png"
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());

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