GPT Image 2.5 API Python 调用：一个可运行的示例

export SEEDROUTER_API_KEY="your-key"

import os
import requests

response = requests.post(
    "https://api.seedrouter.ai/v1/images/generations",
    headers={"Authorization": f"Bearer {os.environ['SEEDROUTER_API_KEY']}"},
    json={
        "model": "gpt-image-2.5-flare",
        "prompt": "An amber glass bottle on a cream background, studio lighting",
        "size": "1024x1024",
        "quality": "low",
    },
    timeout=60,
)
response.raise_for_status()
task_id = response.json()["id"]

import time

print(f"Task ID: {task_id}")
deadline = time.monotonic() + 600
while time.monotonic() < deadline:
    result = requests.get(
        f"https://api.seedrouter.ai/v1/tasks/{task_id}",
        headers={"Authorization": f"Bearer {os.environ['SEEDROUTER_API_KEY']}"},
        timeout=30,
    )
    result.raise_for_status()
    task = result.json()
    if task["status"] == "completed":
        for image in task["output"]["data"]:
            print(image["url"])
        break
    if task["status"] == "failed":
        raise RuntimeError(task["error"]["message"])
    time.sleep(3)
else:
    raise TimeoutError(f"Still waiting. Resume polling task {task_id}.")

const response = await fetch('https://api.seedrouter.ai/v1/images/generations', {
  method: 'POST',
  headers: {
    Authorization: `Bearer ${process.env.SEEDROUTER_API_KEY}`,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    model: 'gpt-image-2.5-flare',
    prompt: 'An amber glass bottle on a cream background, studio lighting',
    size: '1024x1024',
    quality: 'low',
  }),
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const { id: taskId } = await response.json();

{
  "model": "gpt-image-2.5-sunburst",
  "prompt": "Make the bottle blue. Preserve the composition and lighting.",
  "images": [{"image_url": "https://example.com/reference.png"}],
  "mask": {"image_url": "https://example.com/mask.png"}
}