多图参考生视频
▼
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-v1-6
image_list
array [object]
必需
最多支持4张图片
prompt
string
必需
正向文本提示词 不能超过2500个字符
negative_prompt
string
可选
负向文本提示词
mode
string
必需
生成视频的模式 枚举值：std，pro 其中std：标准模式（标准），基础模式，性价比高 其中pro：专家模式（高品质），高表现模式，生成视频质量更佳
duration
string
必需
生成视频时长，单位s 枚举值：5，10
aspect_ratio
string
可选
生成图片的画面纵横比（宽:高）
callback_url
string
可选
external_task_id
string
可选
示例
{
"model_name": "kling-v1-6",
"image_list": [
{
"image": "https://h2.inkwai.com/bs2/upload-ylab-stunt/se/ai_portal_queue_mmu_image_upscale_aiweb/3214b798-e1b4-4b00-b7af-72b5b0417420_raw_image_0.jpg"
},
{
"image": "https://p4-fdl.klingai.com/ksc2/VC9RYcz0EFN3IK7HvGJxvyYKZoI2RJoqDr3DIiw7piElFWcqhZkCo1AXSd1KKuRDOgyh-4S32fgf_Y_E2bI12JyhGq8cUh3JBi15-3LhOi6kHXyhsyklf8i7f_z-7H3UwMKOFf3sUyRwme99EGVIVIbfonztB9YHiRUelIN03Kmj4WOJ7alF7z-hAf2VIb0CcmQgkOCO0Xr4cb3aWMmbzQ.png"
}
],
"prompt": "两张图合并成一个视频",
"negative_prompt": "",
"mode": "std",
"duration": "5",
"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/videos/multi-image2video' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data-raw '{
"model_name": "kling-v1-6",
"image_list": [
{
"image": "https://h2.inkwai.com/bs2/upload-ylab-stunt/se/ai_portal_queue_mmu_image_upscale_aiweb/3214b798-e1b4-4b00-b7af-72b5b0417420_raw_image_0.jpg"
},
{
"image": "https://p4-fdl.klingai.com/ksc2/VC9RYcz0EFN3IK7HvGJxvyYKZoI2RJoqDr3DIiw7piElFWcqhZkCo1AXSd1KKuRDOgyh-4S32fgf_Y_E2bI12JyhGq8cUh3JBi15-3LhOi6kHXyhsyklf8i7f_z-7H3UwMKOFf3sUyRwme99EGVIVIbfonztB9YHiRUelIN03Kmj4WOJ7alF7z-hAf2VIb0CcmQgkOCO0Xr4cb3aWMmbzQ.png"
}
],
"prompt": "两张图合并成一个视频",
"negative_prompt": "",
"mode": "std",
"duration": "5",
"aspect_ratio": "16:9",
"callback_url": "",
"external_task_id": ""
}'var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
var raw = JSON.stringify({
"model_name": "kling-v1-6",
"image_list": [
{
"image": "https://h2.inkwai.com/bs2/upload-ylab-stunt/se/ai_portal_queue_mmu_image_upscale_aiweb/3214b798-e1b4-4b00-b7af-72b5b0417420_raw_image_0.jpg"
},
{
"image": "https://p4-fdl.klingai.com/ksc2/VC9RYcz0EFN3IK7HvGJxvyYKZoI2RJoqDr3DIiw7piElFWcqhZkCo1AXSd1KKuRDOgyh-4S32fgf_Y_E2bI12JyhGq8cUh3JBi15-3LhOi6kHXyhsyklf8i7f_z-7H3UwMKOFf3sUyRwme99EGVIVIbfonztB9YHiRUelIN03Kmj4WOJ7alF7z-hAf2VIb0CcmQgkOCO0Xr4cb3aWMmbzQ.png"
}
],
"prompt": "两张图合并成一个视频",
"negative_prompt": "",
"mode": "std",
"duration": "5",
"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/videos/multi-image2video", 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-v1-6",
"image_list": [
{
"image": "https://h2.inkwai.com/bs2/upload-ylab-stunt/se/ai_portal_queue_mmu_image_upscale_aiweb/3214b798-e1b4-4b00-b7af-72b5b0417420_raw_image_0.jpg"
},
{
"image": "https://p4-fdl.klingai.com/ksc2/VC9RYcz0EFN3IK7HvGJxvyYKZoI2RJoqDr3DIiw7piElFWcqhZkCo1AXSd1KKuRDOgyh-4S32fgf_Y_E2bI12JyhGq8cUh3JBi15-3LhOi6kHXyhsyklf8i7f_z-7H3UwMKOFf3sUyRwme99EGVIVIbfonztB9YHiRUelIN03Kmj4WOJ7alF7z-hAf2VIb0CcmQgkOCO0Xr4cb3aWMmbzQ.png"
}
],
"prompt": "两张图合并成一个视频",
"negative_prompt": "",
"mode": "std",
"duration": "5",
"aspect_ratio": "16:9",
"callback_url": "",
"external_task_id": ""
})
headers = {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
}
conn.request("POST", "/kling/v1/videos/multi-image2video", 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
{}