curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "gemini-nano-banana-2.1",
  "prompt": "赛博朋克风格的城市夜景, 霓虹灯闪烁",
  "size": "16:9",
  "n": 1,
  "metadata": {
    "resolution": "2K"
  }
}'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "gemini-nano-banana-2.1-vip",
  "prompt": "将这张照片改为水彩画风格",
  "size": "1:1",
  "n": 1,
  "image_urls": [
    "https://example.com/photo.jpg"
  ],
  "metadata": {
    "resolution": "2K"
  }
}'

import requests

response = requests.post(
    "https://toapis.com/v1/images/generations",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "model": "gemini-nano-banana-2.1",
        "prompt": "赛博朋克风格的城市夜景, 霓虹灯闪烁",
        "size": "16:9",
        "n": 1,
        "metadata": {
            "resolution": "2K"
        }
    }
)
response.raise_for_status()
task = response.json()
print(task["id"])

const response = await fetch('https://toapis.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "model": "gemini-nano-banana-2.1",
    "prompt": "赛博朋克风格的城市夜景, 霓虹灯闪烁",
    "size": "16:9",
    "n": 1,
    "metadata": {
      "resolution": "2K"
    }
  })
});

if (!response.ok) {
  throw new Error(await response.text());
}
const task = await response.json();
console.log(task.id);

{
  "id": "task_img_abc123def456",
  "object": "generation.task",
  "model": "gemini-nano-banana-2.1",
  "status": "queued",
  "progress": 0,
  "created_at": 1703884800,
  "metadata": {}
}