注册

图生视频

POST https://api.quickrouter.ai/kling/v1/videos/image2video 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-v1, kling-v1-5, kling-v1-6, kling-v2-master, kling-v2-1, kling-v2-1-master, kling-v2-5-turbo,kling-v2-6,kling-v3
image string
必需
参考图像 支持传入图片Base64编码或图片URL(确保可访问)
image_tail string
可选
参考图像 - 尾帧控制 支持传入图片Base64编码或图片URL(确保可访问)
prompt string
可选
正向文本提示词不能超过2500个字符 用<<>>来指定音色,序号同voice_list参数所引用音色的排列顺序 一次视频生成任务至多引用2个音色;指定音色时,sound参数值必须为on语法结构越简单越好,如:男人<<>>说:"你好" 当voice_list参数不为空且prompt参数中引用音色ID时,视频生成任务按"有指定音色"计量计费
negative_prompt string
可选
负向文本提示词
voice_list array [object]
可选
仅V2.6及后续版本模型支持当前参数生成视频时所引用的音色的列表 一次视频生成任务至多引用2个音色 当voice_list参数不为空且prompt参数中引用音色ID时,视频生成任务按"有指定音色"计量计费
voice_id string
可选
sound string
可选
仅V2.6及后续版本模型支持当前参数生成视频时是否同时生成声音 枚举值:on,off
cfg_scale number
可选
kling-v2.x模型不支持当前参数生成视频的自由度;值越大,模型自由度越小,与用户输入的提示词相关性越强
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
static_mask string
可选
静态笔刷涂抹区域(用户通过运动笔刷涂抹的 mask 图片)
multi_shot boolean
可选
是否生成多镜头视频 当前参数为true时,prompt参数无效 当前参数为false时,shot_type参数及multi_prompt参数无效
shot_type string
可选
分镜方式 枚举值:customize 当multi_shot参数为true时,当前参数必填
multi_prompt array [object]
可选
各分镜信息,如提示词、时长等 ● 通过index、prompt、duration参数定义分镜序号及相应提示词和时长,其中: ○ 最多支持6个分镜,最小支持1个分镜 ○ 每个分镜相关内容的最大长度不超过512 ○ 每个分镜的时长不大于当前任务的总时长,不小于1 ○ 所有分镜的时长之和等于当前任务的总时长
dynamic_masks array [object]
可选
动态笔刷配置列表
camera_control object
可选
控制摄像机运动的协议(如未指定,模型将根据输入的文本/图片进行智能匹配)
duration string
必需
生成视频时长,单位s 枚举值:5,10
watermark_info object
可选
是否同时生成含水印的结果 ● 通过enabled参数定义,用key:value承载,如下::"watermark_info": { "enabled": boolean // true 为生成,false 为不生成 }
callback_url string
可选
external_task_id string
可选
示例
{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}

请求示例代码

curl --location --request POST 'https://api.quickrouter.ai/kling/v1/videos/image2video' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}'
var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
});

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

fetch("https://api.quickrouter.ai/kling/v1/videos/image2video", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));
import java.io.*;
import java.net.*;
import java.util.*;

URL url = new URL("https://api.quickrouter.ai/kling/v1/videos/image2video");
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestMethod("POST");
conn.setRequestProperty("Accept", "application/json");
conn.setRequestProperty("Authorization", "Bearer YOUR_API_KEY");
conn.setRequestProperty("Content-Type", "application/json");
conn.setDoOutput(true);
String jsonInputString = "{
    \"model_name\": \"kling-v1\",
    \"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_tail\": \"\",
    \"prompt\": \"\",
    \"negative_prompt\": \"\",
    \"cfg_scale\": 0.5,
    \"mode\": \"std\",
    \"static_mask\": \"\",
    \"dynamic_masks\": [{
        \"mask\": \"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\",
        \"trajectories\": [{\"x\": 0, \"y\": 0}, {\"x\": 1, \"y\": 1}]
    }],
    \"duration\": 5,
    \"callback_url\": \"\",
    \"external_task_id\": \"\"
}";
try(OutputStream os = conn.getOutputStream()) {
    byte[] input = jsonInputString.getBytes("utf-8");
    os.write(input, 0, input.length);
}
int responseCode = conn.getResponseCode();
System.out.println("Response Code: " + responseCode);
import Foundation

let urlString = "https://api.quickrouter.ai/kling/v1/videos/image2video"
guard let url = URL(string: urlString) else { return }
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.addValue("application/json", forHTTPHeaderField: "Accept")
request.addValue("Bearer YOUR_API_KEY", forHTTPHeaderField: "Authorization")
request.addValue("application/json", forHTTPHeaderField: "Content-Type")
let httpBody = "{
    \"model_name\": \"kling-v1\",
    \"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_tail\": \"\",
    \"prompt\": \"\",
    \"negative_prompt\": \"\",
    \"cfg_scale\": 0.5,
    \"mode\": \"std\",
    \"static_mask\": \"\",
    \"dynamic_masks\": [{
        \"mask\": \"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\",
        \"trajectories\": [{\"x\": 0, \"y\": 0}, {\"x\": 1, \"y\": 1}]
    }],
    \"duration\": 5,
    \"callback_url\": \"\",
    \"external_task_id\": \"\"
}"
request.httpBody = httpBody.data(using: .utf8)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let data = data {
        print(String(data: data, encoding: .utf8)!)
    }
}
task.resume()
package main

import (
    "fmt"
    "io"
    "net/http"
)

func main() {
    body := strings.NewReader(`{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}`)
    req, _ := http.NewRequest("POST", "https://api.quickrouter.ai/kling/v1/videos/image2video", body)
    req.Header.Set("Accept", "application/json")
    req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()
    bodyBytes, _ := io.ReadAll(resp.Body)
    fmt.Println(string(bodyBytes))
}
<?php

$curl = curl_init();
curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://api.quickrouter.ai/kling/v1/videos/image2video',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => '{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}',
  CURLOPT_HTTPHEADER => array(
    "Accept: application/json",
    "Authorization: Bearer YOUR_API_KEY",
    "Content-Type: application/json",
  ),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
})
headers = {
   'Accept': 'application/json',
   'Authorization': 'Bearer YOUR_API_KEY',
   'Content-Type': 'application/json',
}
conn.request("POST", "/kling/v1/videos/image2video", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
POST https://api.quickrouter.ai/kling/v1/videos/image2video HTTP/1.1
Accept: application/json
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}
CURL *hnd = curl_easy_init();
curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_URL, "https://api.quickrouter.ai/kling/v1/videos/image2video");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Accept: application/json");
headers = curl_slist_append(headers, "Authorization: Bearer YOUR_API_KEY");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);
curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{
    \"model_name\": \"kling-v1\",
    \"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_tail\": \"\",
    \"prompt\": \"\",
    \"negative_prompt\": \"\",
    \"cfg_scale\": 0.5,
    \"mode\": \"std\",
    \"static_mask\": \"\",
    \"dynamic_masks\": [{
        \"mask\": \"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\",
        \"trajectories\": [{\"x\": 0, \"y\": 0}, {\"x\": 1, \"y\": 1}]
    }],
    \"duration\": 5,
    \"callback_url\": \"\",
    \"external_task_id\": \"\"
}");
CURLcode ret = curl_easy_perform(hnd);
var client = new RestClient("https://api.quickrouter.ai/kling/v1/videos/image2video");
var request = new RestRequest(Method.POST);
request.AddHeader("Accept", "application/json");
request.AddHeader("Authorization", "Bearer YOUR_API_KEY");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", @"{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);
#import <Foundation/Foundation.h>

NSURL *url = [NSURL URLWithString:@"https://api.quickrouter.ai/kling/v1/videos/image2video"];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"application/json" forHTTPHeaderField:@"Accept"];
[request setValue:@"Bearer YOUR_API_KEY" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:[@"{
    \"model_name\": \"kling-v1\",
    \"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_tail\": \"\",
    \"prompt\": \"\",
    \"negative_prompt\": \"\",
    \"cfg_scale\": 0.5,
    \"mode\": \"std\",
    \"static_mask\": \"\",
    \"dynamic_masks\": [{
        \"mask\": \"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\",
        \"trajectories\": [{\"x\": 0, \"y\": 0}, {\"x\": 1, \"y\": 1}]
    }],
    \"duration\": 5,
    \"callback_url\": \"\",
    \"external_task_id\": \"\"
}" dataUsingEncoding:NSUTF8StringEncoding]];
NSURLSessionDataTask *task = [[NSURLSession sharedSession] dataTaskWithRequest:request completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
    NSLog(@"%@", [[NSString alloc] initWithData:data encoding:NSUTF8StringEncoding]);
}];
[task resume];
require "uri"
require "net/http"
require "json"

url = URI("https://api.quickrouter.ai/kling/v1/videos/image2video")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Accept"] = "application/json"
request["Authorization"] = "Bearer YOUR_API_KEY"
request["Content-Type"] = "application/json"
request.body = '{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}'
response = http.request(request)
puts response.read_body
(* Requires cohttp and lwt *)

let url = "https://api.quickrouter.ai/kling/v1/videos/image2video" in
let headers = Cohttp.Header.of_list [
  ("Accept", "application/json");
  ("Authorization", "Bearer YOUR_API_KEY");
  ("Content-Type", "application/json");
] in
let body = Cohttp_lwt.Body.of_string '{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}' in
Lwt_main.run (
  Cohttp_lwt_unix.Client.request ?body:(Some body) ~method_:`POST ~headers (Uri.of_string url)
  >>= fun (resp, body) ->
  Cohttp_lwt.Body.to_string body >|= fun s -> print_endline s
)
import 'package:http/http.dart' as http;
import 'dart:convert';

var headers = {
  "Accept": "application/json",
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json",
};
var body = json.encode({
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
});
var response = await http.post(Uri.parse("https://api.quickrouter.ai/kling/v1/videos/image2video"), headers: headers, body: body);
print(response.body);
library(httr)

url <- "https://api.quickrouter.ai/kling/v1/videos/image2video"
body <- '{
    "model_name": "kling-v1",
    "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_tail": "",
    "prompt": "",
    "negative_prompt": "",
    "cfg_scale": 0.5,
    "mode": "std",
    "static_mask": "",
    "dynamic_masks": [{
        "mask": "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",
        "trajectories": [{"x": 0, "y": 0}, {"x": 1, "y": 1}]
    }],
    "duration": 5,
    "callback_url": "",
    "external_task_id": ""
}'
response <- post(url, body = body, add_headers("Accept" = "application/json", "Authorization" = "Bearer YOUR_API_KEY", "Content-Type" = "application/json"))
content(response, "text", encoding = "UTF-8")

返回响应

响应参数 application/json
object string
可选
code string
可选
message string
可选
request_id string
可选
task_id string
可选
task_status string
可选
task_info string
可选
created_at string
可选
updated_at string
可选
示例
{
    "object": "chat.completion",
    "code": "success",
    "message": "",
    "request_id": "c0c2ac8bd2a9406f9e2a2f20b05b3e9a",
    "task_id": "01J9M6GK9YF7PNBGPQ0XEFJVM",
    "task_status": "submitted",
    "task_info": {},
    "created_at": 1722769557708,
    "updated_at": 1722769557708
}