curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <YOUR_API_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "qwen-image-3.0",
    "prompt": "A cinematic fantasy poster of an ancient city above the clouds, golden morning light, with the clear Chinese title 云上长安",
    "size": "16:9",
    "resolution": "2K",
    "n": 1,
    "metadata": {
      "prompt_extend": true,
      "negative_prompt": "blurry, low quality, incorrect text",
      "watermark": false
    }
  }'

curl --request POST \
  --url https://toapis.com/v1/images/generations \
  --header 'Authorization: Bearer <YOUR_API_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "qwen-image-3.0-pro",
    "prompt": "Keep the person from the first image and the clothing design from the second image. Create a modern magazine cover with detailed facial features and materials.",
    "image_urls": [
      "https://example.com/person.png",
      "https://example.com/outfit.png"
    ],
    "size": "3:4",
    "resolution": "2K",
    "n": 1,
    "metadata": {
      "prompt_extend": true,
      "prompt_extend_mode": "direct",
      "watermark": false
    }
  }'

import requests

response = requests.post(
    "https://toapis.com/v1/images/generations",
    headers={
        "Authorization": "Bearer <YOUR_API_KEY>",
        "Content-Type": "application/json",
    },
    json={
        "model": "qwen-image-3.0-pro",
        "prompt": "A premium black-and-gold perfume poster with studio lighting and sharp details",
        "size": "1:1",
        "resolution": "2K",
        "n": 1,
        "metadata": {
            "prompt_extend": True,
            "watermark": False,
        },
    },
)
response.raise_for_status()
task = response.json()
print(task["id"], task["status"])

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: "qwen-image-3.0",
    prompt: "A cinematic product photo of a transparent mechanical watch",
    size: "4:3",
    resolution: "1K",
    n: 1,
    metadata: {
      prompt_extend: true,
      watermark: false
    }
  })
});

if (!response.ok) {
  throw new Error(await response.text());
}

const task = await response.json();
console.log(task.id, task.status);