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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

  • 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

bash curl --request POST \ --url https://api.openveer.com/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" }'

```python
import requests

url = "https://api.openveer.com/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 ",
"Content-Type": "application/json"
}

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

print(response.json())
```

```javascript
const url = "https://api.openveer.com/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 ",
"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));
```

```go
package main

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

func main() {
url := "https://api.openveer.com/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))

}
```

```java
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://api.openveer.com/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
"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 ", "Content-Type: application/json" ]); $response = curl_exec($ch); curl_close($ch); echo $response; ?>

```

```ruby
require 'net/http'
require 'json'
require 'uri'

url = URI("https://api.openveer.com/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 "
request["Content-Type"] = "application/json"
request.body = payload.to_json

response = http.request(request)
puts response.body
```

```swift
import Foundation

let url = URL(string: "https://api.openveer.com/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 ", 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()
```

```csharp
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
static async Task Main(string[] args)
{
var url = "https://api.openveer.com/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

json { "code": 200, "data": [ { "status": "submitted", "task_id": "task_xxxxxxxxxx" } ] }

json { "error": { "code": 400, "message": "请求参数无效", "type": "invalid_request_error" } }

json { "error": { "code": 401, "message": "身份验证失败,请检查您的API密钥", "type": "authentication_error" } }

json { "error": { "code": 402, "message": "账户余额不足,请充值后再试", "type": "payment_required" } }

json { "error": { "code": 429, "message": "请求过于频繁,请稍后再试", "type": "rate_limit_error" } }

json { "error": { "code": 500, "message": "服务器内部错误,请稍后重试", "type": "server_error" } }

认证

Authorization string
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](https://openveer.com) 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

model string
视频生成模型名称 支持的模型: * `kling-v3` - 可灵 v3(推荐)
prompt string
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_prompt string
负面提示词,用于排除不想要的内容 示例:`"模糊, 低画质, 变形"`
mode string
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`
duration integer
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_ratio string
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_urls string
"> 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 示例:`["https://example.com/first.jpg"]`
警告
* 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
watermark boolean
是否添加水印
audio boolean
是否生成有声视频
multi_shot boolean
是否启用多镜头分镜模式。 * `true` * `false`
shot_type string
分镜方式:`customize`(自定义)/ `intelligence`(智能)。 当 `multi_shot=true` 时必填。
multi_prompt string
"> 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: ```json "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_list string
"> 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: ```json [ { "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)
  • 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

code integer
响应状态码,成功时为 200
data array
返回数据数组 任务状态,初始提交时为 `submitted`
task_id string
任务唯一标识符,用于查询任务状态和结果

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"
}
注意
**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](/cn/api-reference/tasks/status) 接口查询生成进度和结果。