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",
    "prompt": "一只橘猫坐在窗台上看夕阳，水彩插画风格",
    "size": "1536x1024",
    "quality": "medium",
    "n": 1,
    "response_format": "url"
  }'

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",
        "prompt": "一只橘猫坐在窗台上看夕阳，水彩插画风格",
        "size": "1536x1024",
        "quality": "medium",
        "n": 1,
        "response_format": "url",
    },
    timeout=300,
)
response.raise_for_status()

print(response.json()["data"][0]["url"])

const response = await fetch("https://xcompute.us/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-image-2.5",
    prompt: "一只橘猫坐在窗台上看夕阳，水彩插画风格",
    size: "1536x1024",
    quality: "medium",
    n: 1,
    response_format: "url",
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log((await response.json()).data[0].url);

{
  "created": 1789097054,
  "data": [
    {
      "url": "https://example.com/generated-image.png",
      "revised_prompt": "一只橘猫坐在窗台上看夕阳，水彩插画风格"
    }
  ],
  "usage": {
    "input_tokens": 18,
    "output_tokens": 1056,
    "total_tokens": 1074
  }
}