创建多图生视频任务
curl --request POST \
--url https://ai.alad.com/kling/v1/videos/multi-image2video \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"image_list": [
{
"image": "<string>"
}
],
"prompt": "四个角色围坐在篝火旁分享故事",
"model_name": "kling-v1-6",
"negative_prompt": "<string>",
"mode": "std",
"duration": "5",
"aspect_ratio": "16:9",
"watermark_info": {
"enabled": true
},
"callback_url": "<string>",
"external_task_id": "<string>"
}
'import requests
url = "https://ai.alad.com/kling/v1/videos/multi-image2video"
payload = {
"image_list": [{ "image": "<string>" }],
"prompt": "四个角色围坐在篝火旁分享故事",
"model_name": "kling-v1-6",
"negative_prompt": "<string>",
"mode": "std",
"duration": "5",
"aspect_ratio": "16:9",
"watermark_info": { "enabled": True },
"callback_url": "<string>",
"external_task_id": "<string>"
}
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({
image_list: [{image: '<string>'}],
prompt: '四个角色围坐在篝火旁分享故事',
model_name: 'kling-v1-6',
negative_prompt: '<string>',
mode: 'std',
duration: '5',
aspect_ratio: '16:9',
watermark_info: {enabled: true},
callback_url: '<string>',
external_task_id: '<string>'
})
};
fetch('https://ai.alad.com/kling/v1/videos/multi-image2video', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://ai.alad.com/kling/v1/videos/multi-image2video",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'image_list' => [
[
'image' => '<string>'
]
],
'prompt' => '四个角色围坐在篝火旁分享故事',
'model_name' => 'kling-v1-6',
'negative_prompt' => '<string>',
'mode' => 'std',
'duration' => '5',
'aspect_ratio' => '16:9',
'watermark_info' => [
'enabled' => true
],
'callback_url' => '<string>',
'external_task_id' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://ai.alad.com/kling/v1/videos/multi-image2video"
payload := strings.NewReader("{\n \"image_list\": [\n {\n \"image\": \"<string>\"\n }\n ],\n \"prompt\": \"四个角色围坐在篝火旁分享故事\",\n \"model_name\": \"kling-v1-6\",\n \"negative_prompt\": \"<string>\",\n \"mode\": \"std\",\n \"duration\": \"5\",\n \"aspect_ratio\": \"16:9\",\n \"watermark_info\": {\n \"enabled\": true\n },\n \"callback_url\": \"<string>\",\n \"external_task_id\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://ai.alad.com/kling/v1/videos/multi-image2video")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"image_list\": [\n {\n \"image\": \"<string>\"\n }\n ],\n \"prompt\": \"四个角色围坐在篝火旁分享故事\",\n \"model_name\": \"kling-v1-6\",\n \"negative_prompt\": \"<string>\",\n \"mode\": \"std\",\n \"duration\": \"5\",\n \"aspect_ratio\": \"16:9\",\n \"watermark_info\": {\n \"enabled\": true\n },\n \"callback_url\": \"<string>\",\n \"external_task_id\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://ai.alad.com/kling/v1/videos/multi-image2video")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"image_list\": [\n {\n \"image\": \"<string>\"\n }\n ],\n \"prompt\": \"四个角色围坐在篝火旁分享故事\",\n \"model_name\": \"kling-v1-6\",\n \"negative_prompt\": \"<string>\",\n \"mode\": \"std\",\n \"duration\": \"5\",\n \"aspect_ratio\": \"16:9\",\n \"watermark_info\": {\n \"enabled\": true\n },\n \"callback_url\": \"<string>\",\n \"external_task_id\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "860260753860210752",
"task_id": "860260753860210752",
"object": "video",
"model": "kling-v1-6",
"status": "<string>",
"progress": 0,
"created_at": 1773130665
}Kuaishou
Kling 1.6 多图生视频
使用 kling-v1-6 模型从多张参考图片(最多 4 张)生成视频。
POST
/
kling
/
v1
/
videos
/
multi-image2video
创建多图生视频任务
curl --request POST \
--url https://ai.alad.com/kling/v1/videos/multi-image2video \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"image_list": [
{
"image": "<string>"
}
],
"prompt": "四个角色围坐在篝火旁分享故事",
"model_name": "kling-v1-6",
"negative_prompt": "<string>",
"mode": "std",
"duration": "5",
"aspect_ratio": "16:9",
"watermark_info": {
"enabled": true
},
"callback_url": "<string>",
"external_task_id": "<string>"
}
'import requests
url = "https://ai.alad.com/kling/v1/videos/multi-image2video"
payload = {
"image_list": [{ "image": "<string>" }],
"prompt": "四个角色围坐在篝火旁分享故事",
"model_name": "kling-v1-6",
"negative_prompt": "<string>",
"mode": "std",
"duration": "5",
"aspect_ratio": "16:9",
"watermark_info": { "enabled": True },
"callback_url": "<string>",
"external_task_id": "<string>"
}
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({
image_list: [{image: '<string>'}],
prompt: '四个角色围坐在篝火旁分享故事',
model_name: 'kling-v1-6',
negative_prompt: '<string>',
mode: 'std',
duration: '5',
aspect_ratio: '16:9',
watermark_info: {enabled: true},
callback_url: '<string>',
external_task_id: '<string>'
})
};
fetch('https://ai.alad.com/kling/v1/videos/multi-image2video', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://ai.alad.com/kling/v1/videos/multi-image2video",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'image_list' => [
[
'image' => '<string>'
]
],
'prompt' => '四个角色围坐在篝火旁分享故事',
'model_name' => 'kling-v1-6',
'negative_prompt' => '<string>',
'mode' => 'std',
'duration' => '5',
'aspect_ratio' => '16:9',
'watermark_info' => [
'enabled' => true
],
'callback_url' => '<string>',
'external_task_id' => '<string>'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://ai.alad.com/kling/v1/videos/multi-image2video"
payload := strings.NewReader("{\n \"image_list\": [\n {\n \"image\": \"<string>\"\n }\n ],\n \"prompt\": \"四个角色围坐在篝火旁分享故事\",\n \"model_name\": \"kling-v1-6\",\n \"negative_prompt\": \"<string>\",\n \"mode\": \"std\",\n \"duration\": \"5\",\n \"aspect_ratio\": \"16:9\",\n \"watermark_info\": {\n \"enabled\": true\n },\n \"callback_url\": \"<string>\",\n \"external_task_id\": \"<string>\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://ai.alad.com/kling/v1/videos/multi-image2video")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"image_list\": [\n {\n \"image\": \"<string>\"\n }\n ],\n \"prompt\": \"四个角色围坐在篝火旁分享故事\",\n \"model_name\": \"kling-v1-6\",\n \"negative_prompt\": \"<string>\",\n \"mode\": \"std\",\n \"duration\": \"5\",\n \"aspect_ratio\": \"16:9\",\n \"watermark_info\": {\n \"enabled\": true\n },\n \"callback_url\": \"<string>\",\n \"external_task_id\": \"<string>\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://ai.alad.com/kling/v1/videos/multi-image2video")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"image_list\": [\n {\n \"image\": \"<string>\"\n }\n ],\n \"prompt\": \"四个角色围坐在篝火旁分享故事\",\n \"model_name\": \"kling-v1-6\",\n \"negative_prompt\": \"<string>\",\n \"mode\": \"std\",\n \"duration\": \"5\",\n \"aspect_ratio\": \"16:9\",\n \"watermark_info\": {\n \"enabled\": true\n },\n \"callback_url\": \"<string>\",\n \"external_task_id\": \"<string>\"\n}"
response = http.request(request)
puts response.read_body{
"id": "860260753860210752",
"task_id": "860260753860210752",
"object": "video",
"model": "kling-v1-6",
"status": "<string>",
"progress": 0,
"created_at": 1773130665
}授权
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
请求体
application/json
参考图片列表(1–4 张)。格式:.jpg/.jpeg/.png,≤10MB,最小 300px,宽高比 1:2.5–2.5:1。
Required array length:
1 - 4 elementsShow child attributes
Show child attributes
正向文本提示词,必填,最长 2500 字符。
Maximum string length:
2500示例:
"四个角色围坐在篝火旁分享故事"
模型名称
可用选项:
kling-v1-6 示例:
"kling-v1-6"
负向文本提示词,最长 2500 字符。
Maximum string length:
2500std:标准模式(性价比高)。pro:专业模式(画质更好)。
可用选项:
std, pro 视频时长(秒),5 或 10。
可用选项:
5, 10 示例:
"5"
生成视频的画面比例(宽:高)。
可用选项:
16:9, 9:16, 1:1 示例:
"16:9"
Show child attributes
Show child attributes
任务状态变更的回调通知 URL
自定义任务 ID,同一账号下需唯一。
⌘I

