> ## Documentation Index
> Fetch the complete documentation index at: https://api.xcompute.us/llms.txt
> Use this file to discover all available pages before exploring further.

# 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

<RequestExample>
  ```bash cURL theme={null} theme={null}
  curl --request POST \
    --url https://xcompute.us/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,
      "size": "16:9"
    }'
  ```

  ```python Python theme={null} theme={null}
  import requests

  url = "https://xcompute.us/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,
      "size": "16:9"
  }

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

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

  print(response.json())
  ```

  ```javascript JavaScript theme={null} theme={null}
  const url = "https://xcompute.us/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,
    size: "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));
  ```

  ```go Go theme={null} theme={null}
  package main

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

  func main() {
      url := "https://xcompute.us/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,
          "size": "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 Java theme={null} theme={null}
  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://xcompute.us/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,
            "size": "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 PHP theme={null} theme={null}
  <?php

  $url = "https://xcompute.us/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,
      "size" => "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;
  ?>
  ```

  ```ruby Ruby theme={null} theme={null}
  require 'net/http'
  require 'json'
  require 'uri'

  url = URI("https://xcompute.us/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,
    size: "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
  ```

  ```swift Swift theme={null} theme={null}
  import Foundation

  let url = URL(string: "https://xcompute.us/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,
      "size": "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()
  ```

  ```csharp C# theme={null} theme={null}
  using System;
  using System.Net.Http;
  using System.Text;
  using System.Threading.Tasks;

  class Program
  {
      static async Task Main(string[] args)
      {
          var url = "https://xcompute.us/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,
              ""size"": ""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);
      }
  }
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null} theme={null}
  {
    "code": 200,
    "data": [
      {
        "status": "submitted",
        "task_id": "task_xxxxxxxxxx"
      }
    ]
  }
  ```

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

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

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

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

  ```json 500 theme={null} theme={null}
  {
    "error": {
      "code": 500,
      "message": "服务器内部错误，请稍后重试",
      "type": "server_error"
    }
  }
  ```
</ResponseExample>

## 认证

<ParamField header="Authorization" type="string" required>
  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://xcompute.us/keys) 获取您的 API Key

  使用时在请求头中添加：

  ```
  Authorization: Bearer YOUR_API_KEY
  ```
</ParamField>

## 请求参数

<ParamField body="model" type="string" required>
  视频生成模型名称

  支持的模型：

  * `kling-v3` - 可灵 v3（推荐）
</ParamField>

<ParamField body="prompt" type="string" required>
  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"`
</ParamField>

<ParamField body="negative_prompt" type="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"`
</ParamField>

<ParamField body="mode" type="string" default="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`
</ParamField>

<ParamField body="duration" type="integer" default="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
</ParamField>

<ParamField body="aspect_ratio" type="string" default="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`
</ParamField>

<ParamField body="image_urls" type="array<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

  示例：`["https://example.com/first.jpg"]`

  <Warning>
    * 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
  </Warning>
</ParamField>

<ParamField body="watermark" type="boolean">
  是否添加水印
</ParamField>

<ParamField body="audio" type="boolean" default="false">
  是否生成有声视频
</ParamField>

<ParamField body="multi_shot" type="boolean" default="false">
  是否启用多镜头分镜模式。

  * `true`
  * `false`
</ParamField>

<ParamField body="shot_type" type="string">
  分镜方式：`customize`（自定义）/ `intelligence`（智能）。

  当 `multi_shot=true` 时必填。
</ParamField>

<ParamField body="multi_prompt" type="array<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：

  ```json theme={null} theme={null}
  "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。
</ParamField>

<ParamField body="element_list" type="array<object>">
  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 theme={null} theme={null}
  [
    {
      "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"`
</ParamField>

### 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

<ResponseField name="code" type="integer">
  响应状态码，成功时为 200
</ResponseField>

<ResponseField name="data" type="array">
  返回数据数组

  <Expandable title="数组元素">
    <ResponseField name="status" type="string">
      任务状态，初始提交时为 `submitted`
    </ResponseField>

    <ResponseField name="task_id" type="string">
      任务唯一标识符，用于查询任务状态和结果
    </ResponseField>
  </Expandable>
</ResponseField>

## 使用场景

### 场景 1：文生视频（标准模式）

```json theme={null} theme={null}
{
  "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,
  "size": "16:9"
}
```

### 场景 2：文生视频（专业模式 + 负面提示词）

```json theme={null} theme={null}
{
  "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,
  "size": "16:9"
}
```

### 场景 3：文生视频（15 秒）

```json theme={null} theme={null}
{
  "model": "kling-v3",
  "prompt": "花园中一朵花绽放的延时摄影",
  "duration": 15,
  "size": "16:9"
}
```

### 场景 4：图生视频（首帧图片）

```json theme={null} theme={null}
{
  "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）

```json theme={null} theme={null}
{
  "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

```json theme={null} theme={null}
{
  "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）

```json theme={null} theme={null}
{
  "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,
  "size": "9:16"
}
```

<Note>
  **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。
</Note>