curl --request POST \
  --url https://xcompute.us/v1/images/edits \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-image-2.5",
    "prompt": "小狗换成小猫",
    "response_format": "url",
    "size": "1024x1024",
    "images": [
      "https://example.com/source.png"
    ],
    "n": 1
  }'

import requests

response = requests.post(
    "https://xcompute.us/v1/images/edits",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "gpt-image-2.5",
        "prompt": "小狗换成小猫",
        "response_format": "url",
        "size": "1024x1024",
        "images": ["https://example.com/source.png"],
        "n": 1,
    },
    timeout=300,
)
response.raise_for_status()

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

const response = await fetch("https://xcompute.us/v1/images/edits", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-image-2.5",
    prompt: "小狗换成小猫",
    response_format: "url",
    size: "1024x1024",
    images: ["https://example.com/source.png"],
    n: 1,
  }),
});

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"
    }
  ]
}