OpenAI GPT Image 2.5 Sunburst Text-to-Image

openai/gpt-image-2.5-sunburst/text-to-image

openai/gpt-image-2.5-sunburst/text-to-image. Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

İlgili modeller

OpenAI GPT Image 2.5 Sunburst Text-to-Image İlgili modeller 1
OpenAI GPT Image 2.5 Sunburst Text-to-Image İlgili modeller 2
OpenAI GPT Image 2.5 Sunburst Text-to-Image İlgili modeller 3

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Yapay zeka model API pazarıTek platformda her şeyEn popülerKoşullarGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
prompt *Prompttextarea—≤ 5000 chars
nImage Countslider11 ~ 10
aspect_ratioAspect Ratioselect1:11:1 | 1:2 | 2:1 | 1:3 | 3:1 | 2:3 | 3:2 | 3:4 | …
resolutionResolutionselect1k1k | 2k | 4k
sizeSizetext——
qualityQualityselectautoauto | low | medium | high | xhigh | max
output_formatOutput Formatselectpngpng | jpeg | webp
output_compressionCompressionnumber—0 ~ 100
moderationModerationselectautoauto | low

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Daha fazla bilgiTek platformda her şeyGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
imagesarray<string>

API

Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/openai/gpt-image-2.5-sunburst/text-to-image" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
    "n": 1,
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "quality": "auto",
    "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/text-to-image",
    headers=HEADERS,
    json={
        "input": {
            "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
            "n": 1,
            "aspect_ratio": "1:1",
            "resolution": "1k",
            "quality": "auto",
            "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/text-to-image", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "prompt": "A futuristic cityscape at sunset, with glowing skyscrapers and flying cars.",
      "n": 1,
      "aspect_ratio": "1:1",
      "resolution": "1k",
      "quality": "auto",
      "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);

API belgeleri

OpenAI GPT Image 2.5 Sunburst Text-to-Image

High-fidelity image generation for detailed compositions and demanding production work, with up to 4K output.

API endpoint

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

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

Parameters

  • prompt (required): Image description, up to 5,000 characters.
  • 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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