OpenAI GPT Image 2.5 Sunburst Edit

openai/gpt-image-2.5-sunburst/edit

High-fidelity image editing for precise transformations using up to 16 reference images.

Examples

OpenAI GPT Image 2.5 Sunburst Edit Examples 1

Parameters

NameTypeDefaultConstraintsDescription
images *Imagesimage_upload—image/* · 1–16 itemsList of URLs of input images for editing.
prompt *Prompttextarea—≤ 5000 charsThe positive prompt for the generation.
nImage Countslider11 ~ 10The number of images to generate (1-10). Each image is billed separately.
aspect_ratioAspect Ratioselect1:11:1 | 1:2 | 2:1 | 1:3 | 3:1 | 2:3 | 3:2 | 3:4 | …The aspect ratio of the generated image. Ignored if 'size' is specified.
resolutionResolutionselect1k1k | 2k | 4kOutput resolution level. Ignored if 'size' is specified.
sizeSizetext——Specific image resolution. The format is [width]x[height]. If specified, aspect_ratio and resolution will be ignored.
qualityQualityselectautoauto | low | medium | high | xhigh | maxRendering quality. Higher quality costs more and takes longer.
maskMask Imageimage_upload—image/* · 0–1 itemsReference an input image by URL. Provide exactly one.
backgroundBackgroundselectautoauto | transparent | opaqueBackground behavior for generated image output.
input_fidelityInput Fidelityselectlowlow | highControls fidelity to the original input image(s).
output_formatOutput Formatselectpngpng | jpeg | webpThe format of the output image. JPEG is faster for low latency.
output_compressionCompressionnumber—0 ~ 100Compression level, only valid for JPEG/WebP (0-100).
moderationModerationselectautoauto | lowContent moderation level.

Output fields

FieldTypeDescription
imagesarray<string>

API

Call this model through one unified REST API. Get a key on the API Keys page.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/openai/gpt-image-2.5-sunburst/edit" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "images": [
      "https://d1s3annbwribom.cloudfront.net/marketplace/examples/2026/08/19/b58b3f934797.jpeg"
    ],
    "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
    "n": 1,
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "quality": "auto",
    "background": "auto",
    "input_fidelity": "low",
    "output_format": "png",
    "moderation": "auto"
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/openai/gpt-image-2.5-sunburst/edit",
    headers=HEADERS,
    json={
        "input": {
            "images": [
                "https://d1s3annbwribom.cloudfront.net/marketplace/examples/2026/08/19/b58b3f934797.jpeg"
            ],
            "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
            "n": 1,
            "aspect_ratio": "1:1",
            "resolution": "1k",
            "quality": "auto",
            "background": "auto",
            "input_fidelity": "low",
            "output_format": "png",
            "moderation": "auto"
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 600s server-side.
deadline = time.time() + 660
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/openai/gpt-image-2.5-sunburst/edit", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "images": [
        "https://d1s3annbwribom.cloudfront.net/marketplace/examples/2026/08/19/b58b3f934797.jpeg"
      ],
      "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
      "n": 1,
      "aspect_ratio": "1:1",
      "resolution": "1k",
      "quality": "auto",
      "background": "auto",
      "input_fidelity": "low",
      "output_format": "png",
      "moderation": "auto"
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 600s server-side.
const deadline = Date.now() + 660 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

Documentation

OpenAI GPT Image 2.5 Sunburst Edit

High-fidelity image editing for precise transformations using up to 16 reference images.

API endpoint

POST /api/v1/marketplace/run/openai/gpt-image-2.5-sunburst/edit

Submit JSON as {"input": {...}}, then poll GET /api/v1/marketplace/run/tasks/{task_uuid} until the task completes.

Parameters

  • images (required): 1 to 16 input image URLs.
  • prompt (required): Editing instruction, up to 5,000 characters.
  • mask: Optional mask image URL.
  • background: auto, transparent, or opaque.
  • input_fidelity: low or high.
  • n: 1 to 10 images; default 1.
  • aspect_ratio: 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, or 21:9.
  • resolution: 1k, 2k, or 4k; default 1k.
  • size: Optional explicit widthxheight; when supplied it overrides aspect_ratio and resolution.
  • quality: auto, low, medium, high, xhigh, or max; default auto.
  • output_format: png, jpeg, or webp; default png.
  • output_compression: 0 to 100; only relevant to compressed formats.
  • moderation: auto or low; default auto.

Output

{"images": ["https://..."]}

Pricing

Nami calculates the final charge from the actual token usage returned by MaaS. OpenAI Standard rates are $5.00/M text input tokens, $1.25/M cached text input tokens, $8.00/M image input tokens, $2.00/M cached image input tokens, and $30.00/M image output tokens.

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