注册

多图参考生图

POST https://api.quickrouter.ai/kling/v1/images/multi-image2image 在线调试 →
Authorization

在 Header 添加参数 Authorization,其值为 Bearer 之后拼接 Token

示例: Authorization: Bearer ********************

请求参数

Header 参数
Content-Type string
可选
示例: application/json
Authorization string
可选
示例: Bearer {{YOUR_API_KEY}}
Body 参数 application/json
model_name string
必需
模型名称 枚举值:kling-v2, kling-v2-1
prompt string
可选
正向文本提示词 不能超过2500个字符
subject_image_list array [object]
必需
最多支持4张图片,最少支持1张图片
subject_image string
必需
scene_image string
可选
场景参考图 支持传入图片Base64编码或图片URL(确保可访问)
style_image string
可选
风格参考图 支持传入图片Base64编码或图片URL(确保可访问)
n integer
必需
生成图片数量 取值范围:[1,9]
aspect_ratio string
可选
生成图片的画面纵横比(宽:高) 枚举值:16:9, 9:16, 1:1, 4:3, 3:4, 3:2, 2:3, 21:9
callback_url string
可选
external_task_id string
可选
示例
{
    "model_name": "kling-v2",
    "prompt": "根据两张图的特点融合",
    "subject_image_list": [
        {
            "subject_image": "https://example.com/image1.jpg"
        },
        {
            "subject_image": "https://example.com/image2.jpg"
        }
    ],
    "scene_image": "",
    "style_image": "",
    "n": 1,
    "aspect_ratio": "16:9",
    "callback_url": "",
    "external_task_id": ""
}

请求示例代码

curl --location --request POST 'https://api.quickrouter.ai/kling/v1/images/multi-image2image' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model_name": "kling-v2",
    "prompt": "根据两张图的特点融合",
    "subject_image_list": [
        {
            "subject_image": "https://example.com/image1.jpg"
        },
        {
            "subject_image": "https://example.com/image2.jpg"
        }
    ],
    "scene_image": "",
    "style_image": "",
    "n": 1,
    "aspect_ratio": "16:9",
    "callback_url": "",
    "external_task_id": ""
}'
var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  "model_name": "kling-v2",
  "prompt": "根据两张图的特点融合",
  "subject_image_list": [
    {
      "subject_image": "https://example.com/image1.jpg"
    },
    {
      "subject_image": "https://example.com/image2.jpg"
    }
  ],
  "scene_image": "",
  "style_image": "",
  "n": 1,
  "aspect_ratio": "16:9",
  "callback_url": "",
  "external_task_id": ""
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://api.quickrouter.ai/kling/v1/images/multi-image2image", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));
import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
  "model_name": "kling-v2",
  "prompt": "根据两张图的特点融合",
  "subject_image_list": [
    {
      "subject_image": "https://example.com/image1.jpg"
    },
    {
      "subject_image": "https://example.com/image2.jpg"
    }
  ],
  "scene_image": "",
  "style_image": "",
  "n": 1,
  "aspect_ratio": "16:9",
  "callback_url": "",
  "external_task_id": ""
})
headers = {
  'Authorization': 'Bearer YOUR_API_KEY',
  'Content-Type': 'application/json'
}
conn.request("POST", "/kling/v1/images/multi-image2image", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

返回响应

响应参数 application/json
object string
可选
示例
{}