> ## 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 Video O1 视频生成

* 推理增强模型，最高质量视频生成
* 异步处理模式，返回任务ID用于后续查询
* 统一文生视频/图生视频接口，支持图片引用语法
* 支持标准模式（720P）和专业模式（1080P）
* 通过 `<<<image_N>>>` 图片引用语法在提示词中引用图片

<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-video-o1",
      "prompt": "让<<<image_1>>>中的人物向镜头挥手",
      "image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
      "mode": "std",
      "duration": 5,
      "aspect_ratio": "16:9"
    }'
  ```

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

  url = "https://xcompute.us/v1/videos/generations"

  payload = {
      "model": "kling-video-o1",
      "prompt": "让<<<image_1>>>中的人物向镜头挥手",
      "image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
      "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())
  ```

  ```javascript JavaScript theme={null} theme={null}
  const url = "https://xcompute.us/v1/videos/generations";

  const payload = {
    model: "kling-video-o1",
    prompt: "让<<<image_1>>>中的人物向镜头挥手",
    image_urls: ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
    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));
  ```

  ```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-video-o1",
          "prompt":       "让<<<image_1>>>中的人物向镜头挥手",
          "image_urls":   []string{"https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"},
          "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 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-video-o1",
            "prompt": "让<<<image_1>>>中的人物向镜头挥手",
            "image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
            "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 PHP theme={null} theme={null}
  <?php

  $url = "https://xcompute.us/v1/videos/generations";

  $payload = [
      "model" => "kling-video-o1",
      "prompt" => "让<<<image_1>>>中的人物向镜头挥手",
      "image_urls" => ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
      "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;
  ?>
  ```

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

  url = URI("https://xcompute.us/v1/videos/generations")

  payload = {
    model: "kling-video-o1",
    prompt: "让<<<image_1>>>中的人物向镜头挥手",
    image_urls: ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
    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
  ```

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

  let url = URL(string: "https://xcompute.us/v1/videos/generations")!

  let payload: [String: Any] = [
      "model": "kling-video-o1",
      "prompt": "让<<<image_1>>>中的人物向镜头挥手",
      "image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
      "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()
  ```

  ```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-video-o1"",
              ""prompt"": ""让<<<image_1>>>中的人物向镜头挥手"",
              ""image_urls"": [""https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp""],
              ""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);
      }
  }
  ```
</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-video-o1` - 可灵 Video O1（推理增强，最高质量）
</ParamField>

<ParamField body="prompt" type="string" required>
  正向文本提示词

  支持通过 `<<<image_N>>>` 语法引用 `image_urls` 中的图片，`N` 从 1 开始。

  示例：`"让<<<image_1>>>中的人物向镜头挥手"`

  <Note>
    如果传了图片但 prompt 中没有 `<<<image_N>>>` 引用，系统会自动在 prompt 前添加 `<<<image_1>>>`。
  </Note>
</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）

  默认值：`std`
</ParamField>

<ParamField body="duration" type="integer" default="5">
  视频时长（秒）

  可选值：`5` 或 `10`

  默认值：`5`
</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，用于图片引用

  在 prompt 中通过 `<<<image_N>>>` 引用对应位置的图片（N 从 1 开始）

  示例：`["https://example.png"]`

  <Warning>
    * 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
    * 最多两张图片，且数组中第一张为首帧，第二张为尾帧
  </Warning>
</ParamField>

<ParamField body="video_list" type="array" optional>
  参考视频列表（URL 方式），最多 1 段。

  通过 `refer_type` 区分类型：

  * `base`：待编辑视频（默认）
  * `feature`：特征参考视频

  通过 `keep_original_sound` 控制是否保留原声：

  * `no`：不保留（默认）
  * `yes`：保留原声

  请求体格式：

  ```json theme={null} theme={null}
  "video_list":[
    { "video_url": "video_url", "refer_type": "base", "keep_original_sound": "no" }
  ]
  ```

  <Warning>
    * `video_url` 不能为空，且视频 URL 需可访问
    * 当 `refer_type=base` 时:
      * 不能定义视频首尾帧
      * 参考视频需 3–10 秒
      * 生成视频时长以上传视频为准
    * 当 `refer_type=feature` 且 `video_url` 不为空时：
      * `image_urls` 只可上传首帧图片
    * 视频要求：仅支持 MP4/MOV；时长不少于 3 秒；分辨率 720px-2160px；帧率 24-60fps（输出为 24fps）；大小不超过 200MB
  </Warning>
</ParamField>

## 图片引用语法

Video O1 模型使用 `<<<image_N>>>` 语法在提示词中引用图片，实现统一的文生视频/图生视频体验：

| 语法              | 说明                         |
| --------------- | -------------------------- |
| `<<<image_1>>>` | 引用 `image_urls` 数组中第 1 张图片 |
| `<<<image_2>>>` | 引用 `image_urls` 数组中第 2 张图片 |

<Note>
  **自动引用**：如果传了 `image_urls` 但 prompt 中没有 `<<<image_N>>>` 引用，系统会自动在 prompt 前添加 `<<<image_1>>>`。
</Note>

## 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（最高质量）

```json theme={null} theme={null}
{
  "model": "kling-video-o1",
  "prompt": "黄金时刻的城市天际线，电影质感镜头",
  "mode": "pro",
  "duration": 5,
  "aspect_ratio": "16:9"
}
```

### 场景 2：图片引用（单张图片）

```json theme={null} theme={null}
{
  "model": "kling-video-o1",
  "prompt": "让<<<image_1>>>中的人物向镜头挥手",
  "image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
  "mode": "pro",
  "duration": 5
}
```

### 场景 3：多图片引用

```json theme={null} theme={null}
{
  "model": "kling-video-o1",
  "prompt": "<<<image_1>>>中的角色走向<<<image_2>>>中的场景",
  "image_urls": [
    "https://example.com/character.jpg",
    "https://example.com/scene.jpg"
  ],
  "mode": "pro",
  "duration": 5
}
```

### 场景 4：传图片但不显式引用（自动添加）

```json theme={null} theme={null}
{
  "model": "kling-video-o1",
  "prompt": "人物缓缓转头微笑",
  "image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
  "mode": "std",
  "duration": 5
}
```

> 系统会自动在 prompt 前添加 `<<<image_1>>>`，等效于 `"<<<image_1>>>人物缓缓转头微笑"`。

<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>