أضف توليد الصور بالذكاء الاصطناعي لتطبيقك — واجهة GPT Image 2 API

const apiKey = process.env.GPT_IMAGE_2_API_KEY;

// Step 1: Create image generation task
const createRes = await fetch(
  'https://gpt-image-2.art/api/v1/images/generations',
  {
    method: 'POST',
    headers: {
      Authorization: `Bearer ${apiKey}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      model: 'gpt-image-2',
      prompt: 'A cinematic product photo of a matte black coffee bag on marble',
      size: '1536x1024',
      quality: 'high',
      n: 1,
    }),
  }
);

const task = await createRes.json();
// { id: "8f6d...", status: "pending", credits: 10 }

// Step 2: Poll until succeeded
let result = task;
while (['pending', 'processing'].includes(result.status)) {
  await new Promise((r) => setTimeout(r, 3000));
  const res = await fetch(
    `https://gpt-image-2.art/api/v1/images/tasks/${task.id}`,
    { headers: { Authorization: `Bearer ${apiKey}` } }
  );
  result = await res.json();
}

// Step 3: Use the image URL
console.log(result.data[0].url); // → "https://..."

import os, time, requests

api_key = os.environ["GPT_IMAGE_2_API_KEY"]
base_url = "https://gpt-image-2.art/api/v1"
headers = {"Authorization": f"Bearer {api_key}"}

# Create task
resp = requests.post(
    f"{base_url}/images/generations",
    headers=headers,
    json={
        "model": "gpt-image-2",
        "prompt": "Premium skincare bottle on wet stone, studio lighting",
        "size": "1024x1024",
        "quality": "high",
        "n": 1,
    },
)
task = resp.json()

# Poll for result
while task["status"] in ("pending", "processing"):
    time.sleep(3)
    task = requests.get(
        f"{base_url}/images/tasks/{task['id']}",
        headers=headers,
    ).json()

print(task["data"][0]["url"])