curl --request POST \
  --url https://ai.xbrod.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-image-2.5-flare",
  "prompt": "一张简洁的绿色植物海报，干净背景",
  "size": "1:1",
  "resolution": "1k",
  "quality": "low"
}
'

import requests

url = "https://ai.xbrod.com/v1/images/generations"

payload = {
    "model": "gpt-image-2.5-flare",
    "prompt": "一张简洁的绿色植物海报，干净背景",
    "size": "1:1",
    "resolution": "1k",
    "quality": "low"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gpt-image-2.5-flare',
    prompt: '一张简洁的绿色植物海报，干净背景',
    size: '1:1',
    resolution: '1k',
    quality: 'low'
  })
};

fetch('https://ai.xbrod.com/v1/images/generations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "created": 1,
  "data": [
    {
      "url": "https://example.com/result.png"
    }
  ]
}