curl --request POST \
  --url https://xcompute.us/v1/images/generations \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-image-2.5-async",
    "prompt": "未来城市夜景，电影感灯光，无文字",
    "size": "1536x1024",
    "quality": "medium"
  }'

import requests

response = requests.post(
    "https://xcompute.us/v1/images/generations",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "gpt-image-2.5-async",
        "prompt": "未来城市夜景，电影感灯光，无文字",
        "size": "1536x1024",
        "quality": "medium",
    },
    timeout=30,
)
response.raise_for_status()
print(response.json()["id"])

{
  "id": "task_AVzfphDDvLn189o8FyF07uEzx1skzfJP",
  "status": "queued",
  "mode": "generate",
  "model": "gpt-image-2.5-async",
  "created_at": "2026-09-11 03:33:10"
}