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Kling v3 视频生成

  • 异步处理模式,返回任务ID用于后续查询
  • 支持文本转视频、图生视频(首帧/首尾帧控制)
  • 支持标准模式(720P)、专业模式(1080P)和 4K 模式
  • 支持 3-15 秒视频时长
  • 支持生成有声视频
请求示例
curl --request POST \
  --url https://26j.cn/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "kling-v3",
    "prompt": "一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感",
    "mode": "std",
    "duration": 5,
    "aspect_ratio": "16:9"
  }'
import requests

url = "https://26j.cn/v1/videos/generations"

payload = {
    "model": "kling-v3",
    "prompt": "一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感",
    "mode": "std",
    "duration": 5,
    "aspect_ratio": "16:9"
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
const url = "https://26j.cn/v1/videos/generations";

const payload = {
  model: "kling-v3",
  prompt: "一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感",
  mode: "std",
  duration: 5,
  aspect_ratio: "16:9"
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://26j.cn/v1/videos/generations"

    payload := map[string]interface{}{
        "model":        "kling-v3",
        "prompt":       "一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感",
        "mode":         "std",
        "duration":     5,
        "aspect_ratio": "16:9",
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;

public class Main {
    public static void main(String[] args) throws Exception {
        String url = "https://26j.cn/v1/videos/generations";

        String payload = """
        {
          "model": "kling-v3",
          "prompt": "一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感",
          "mode": "std",
          "duration": 5,
          "aspect_ratio": "16:9"
        }
        """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create(url))
            .header("Authorization", "Bearer <token>")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(payload))
            .build();

        HttpResponse<String> response = client.send(request,
            HttpResponse.BodyHandlers.ofString());

        System.out.println(response.body());
    }
}
<?php

$url = "https://26j.cn/v1/videos/generations";

$payload = [
    "model" => "kling-v3",
    "prompt" => "一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感",
    "mode" => "std",
    "duration" => 5,
    "aspect_ratio" => "16:9"
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>
require 'net/http'
require 'json'
require 'uri'

url = URI("https://26j.cn/v1/videos/generations")

payload = {
  model: "kling-v3",
  prompt: "一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感",
  mode: "std",
  duration: 5,
  aspect_ratio: "16:9"
}

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 = payload.to_json

response = http.request(request)
puts response.body
import Foundation

let url = URL(string: "https://26j.cn/v1/videos/generations")!

let payload: [String: Any] = [
    "model": "kling-v3",
    "prompt": "一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感",
    "mode": "std",
    "duration": 5,
    "aspect_ratio": "16:9"
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let error = error {
        print("Error: \(error)")
        return
    }

    if let data = data, let responseString = String(data: data, encoding: .utf8) {
        print(responseString)
    }
}

task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
    static async Task Main(string[] args)
    {
        var url = "https://26j.cn/v1/videos/generations";

        var payload = @"{
            ""model"": ""kling-v3"",
            ""prompt"": ""一只金色的猫咪在阳光下的草地上奔跑,慢动作,电影质感"",
            ""mode"": ""std"",
            ""duration"": 5,
            ""aspect_ratio"": ""16:9""
        }";

        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

        var content = new StringContent(payload, Encoding.UTF8, "application/json");
        var response = await client.PostAsync(url, content);
        var result = await response.Content.ReadAsStringAsync();

        Console.WriteLine(result);
    }
}
响应示例
{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_xxxxxxxxxx"
    }
  ]
}
{
  "error": {
    "code": 400,
    "message": "请求参数无效",
    "type": "invalid_request_error"
  }
}
{
  "error": {
    "code": 401,
    "message": "身份验证失败,请检查您的API密钥",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "账户余额不足,请充值后再试",
    "type": "payment_required"
  }
}
{
  "error": {
    "code": 429,
    "message": "请求过于频繁,请稍后再试",
    "type": "rate_limit_error"
  }
}
{
  "error": {
    "code": 500,
    "message": "服务器内部错误,请稍后重试",
    "type": "server_error"
  }
}

认证

Authorizationstring必填

所有接口均需要使用 Bearer Token 进行认证

获取 API Key:

访问 API Key 管理页面 获取您的 API Key

使用时在请求头中添加:

Authorization: Bearer YOUR_API_KEY

请求参数

modelstring必填

视频生成模型名称

支持的模型:

  • kling-v3 - 可灵 v3(推荐)
nsfw_checkboolean默认 false

是否在提交视频任务前执行内容审核。

  • true:使用 omni-moderation-latest 审核提示词和输入图片
  • false 或不传:不发起审核请求,不增加审核成本与延迟(默认)
promptstring必填

正向文本提示词

建议详细描述场景、动作、风格等,以获得更好的生成效果。建议使用英文提示词。

示例:"一只金毛犬在沙滩上奔跑,日落,电影质感"

negative_promptstring

负面提示词,用于排除不想要的内容

示例:"模糊, 低画质, 变形"

modestring默认 std

生成模式

可选值:

  • std - 标准模式(720P)
  • pro - 专业模式(1080P)
  • 4k - 4K 模式

默认值:std

durationinteger默认 5

默认值:5 视频时长(秒)

取值范围:3-15(最短 3 秒,最长 15 秒)

⚠️ 注意: 必须输入纯数字(如 6),不要加引号,否则会报错

aspect_ratiostring默认 16:9

视频宽高比

可选值:

  • 16:9 - 横屏
  • 9:16 - 竖屏
  • 1:1 - 方形

默认值:16:9

image_urlsarray<url>

图片 URL 数组,用于图生视频

  • 传 1 张:作为首帧图片
  • 传 2 张:自动分配为首帧 + 尾帧

最多支持 2 张图片。使用 element_list 时,必须通过 image_urls 至少提供 1 张图片。

示例:["https://example.com/first.jpg"]

  • 最多支持 2 张图片
  • 图片 URL 必须公开可访问,不能有防盗链
  • 图生视频时,aspect_ratio 可能被图片实际比例覆盖
watermarkboolean

是否添加水印

audioboolean默认 false

是否生成有声视频

multi_shotboolean默认 false

是否启用多镜头分镜模式。

  • true
  • false
shot_typestring

分镜方式:customize(自定义)/ intelligence(智能)。

当 multi_shot=true 时必填。

multi_promptarray<object>

各分镜信息,如提示词、时长等。

通过 index、prompt、duration 定义分镜序号及提示词、时长。

  • 最多支持 6 个分镜,最少支持 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总时长,且不小于 1
  • 所有分镜时长之和等于当前任务总时长

用 key:value 承载,格式如下:

"multi_prompt": [
  { "index": 1, "prompt": "string", "duration": 5 },
  { "index": 2, "prompt": "string", "duration": 5 }
]

当 multi_shot=true 且 shot_type=customize 时当前参数必填。

element_listarray<object>

使用此参数时,必须同时通过 image_urls 至少提供 1 张图片。

如果未通过 image_urls 上传图片,element_list 中的元素信息可能失效。element_input_urls 用于定义主体参考图,不能替代 image_urls。

引用元素列表,最多支持 3 个主体。支持两种方式:

  • 现场创建主体:传 name、description、element_input_urls

常见写法:

[
  {
    "name": "element_dog",
    "description": "a golden retriever, fluffy fur, friendly expression",
    "element_input_urls": [
      "https://example.com/image1.png",
      "https://example.com/image2.png"
    ]
  },
  {
    "name": "element_cat",
    "description": "an orange tabby cat, round face, bright eyes",
    "element_input_urls": [
      "https://example.com/image1.png",
      "https://example.com/image2.png"
    ]
  }
]

说明:

  • 现场创建时:name、description、element_input_urls 必填
  • element_input_urls:每个主体至少 2 张、最多 4 张(第 1 张正面图 + 其余参考图)
  • prompt 中通过 @name 引用,如:"@element_dog 和 @element_cat 在草地上追逐玩耍"

参数互斥与边界

  • mode=4k 在本页模型 kling-v3 可用
  • image_urls 最多 2 张(1 张首帧,2 张首尾帧)
  • 使用 element_list 时,image_urls 至少需要 1 张图片
  • 仅尾帧输入(只有 last_frame)会报错,必须配首帧
  • multi_shot=true 时,顶层 prompt 可省略
  • multi_prompt 最多 6 个分镜,index 从 1 连续递增

功能支持矩阵

类型 功能 std 5s std 10s std 15s pro 5s pro 10s
文生视频 视频生成 ✅ ✅ ✅ ✅ ✅
图生视频 视频生成 ✅ ✅ ✅ ✅ ✅
图生视频 首帧 ✅ ✅ ✅ ✅ ✅
图生视频 尾帧 ✅ ✅ ✅ ✅ ✅

文生视频 vs 图生视频

系统会根据 image_urls 自动判断生成模式(文生 / 图生)。

参数 文生视频 图生视频
prompt ✅ 必填 ✅ 建议填写
image_urls ❌ 不传 ✅ 可选(1-2 张)
negative_prompt ✅ 可选 ✅ 可选
mode ✅ 可选 ✅ 可选
duration ✅ 可选(3-15) ✅ 可选(3-15)
aspect_ratio ✅ 可选 ✅ 可选(图生可能受输入图影响)
watermark ✅ 可选 ✅ 可选
audio ✅ 可选 ✅ 可选

响应

codeinteger

响应状态码,成功时为 200

dataarray

返回数据数组

使用场景

场景 1:文生视频(标准模式)

{
  "model": "kling-v3",
  "prompt": "一只金毛犬在沙滩上奔跑,日落,电影质感",
  "mode": "std",
  "duration": 5,
  "aspect_ratio": "16:9"
}

场景 2:文生视频(专业模式 + 负面提示词)

{
  "model": "kling-v3",
  "prompt": "东京涩谷十字路口,雨夜霓虹灯倒映在湿漉漉的地面上,行人撑伞穿行",
  "negative_prompt": "模糊, 低画质, 变形",
  "mode": "pro",
  "duration": 10,
  "aspect_ratio": "16:9"
}

场景 3:文生视频(15 秒)

{
  "model": "kling-v3",
  "prompt": "花园中一朵花绽放的延时摄影",
  "duration": 15,
  "aspect_ratio": "16:9"
}

场景 4:图生视频(首帧图片)

{
  "model": "kling-v3",
  "prompt": "猫咪缓缓向前走,环顾四周",
  "image_urls": ["https://example.com/cat.jpg"],
  "mode": "std",
  "duration": 5
}

场景 5:图生视频(首帧 + 尾帧控制)

{
  "model": "kling-v3",
  "prompt": "流畅的电影级画面过渡",
  "image_urls": [
    "https://example.com/frame-start.jpg",
    "https://example.com/frame-end.jpg"
  ],
  "mode": "std",
  "duration": 5
}

场景 6:生成有声视频

{
  "model": "kling-v3",
  "prompt": "一个在这个舞台上唱歌的摇滚歌手,演唱会现场,灯光闪烁",
  "audio": true,
  "mode": "std",
  "duration": 5
}

场景 7:多镜头分镜(customize,15 秒,有声竖屏)

{
  "model": "kling-v3",
  "multi_prompt": [
    {
      "index": 1,
      "prompt": "Two friends talking under a streetlight at night. Warm glow, casual poses, no dialogue.",
      "duration": 2
    },
    {
      "index": 2,
      "prompt": "A runner sprinting through a forest, leaves flying. Low-angle shot, focus on movement.",
      "duration": 3
    },
    {
      "index": 3,
      "prompt": "A woman hugging a cat, smiling. Soft sunlight, cozy home setting, emphasize warmth.",
      "duration": 3
    },
    {
      "index": 4,
      "prompt": "A door creaking open, shadowy hallway. Dark tones, minimal details, eerie mood.",
      "duration": 3
    },
    {
      "index": 5,
      "prompt": "A man slipping on a banana peel, shocked expression. Exaggerated pose, bright colors.",
      "duration": 3
    },
    {
      "index": 6,
      "prompt": "A sunset over mountains, small figure walking away. Wide angle, peaceful atmosphere.",
      "duration": 1
    }
  ],
  "multi_shot": true,
  "shot_type": "customize",
  "duration": 15,
  "mode": "pro",
  "audio": true,
  "aspect_ratio": "9:16"
}

查询任务结果

视频生成为异步任务,提交后会返回 task_id。使用 获取任务状态 接口查询生成进度和结果。

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