> ## 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.

# Sora2 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、图生视频等多种生成模式
* 支持 `sora-2` 与 `sora-2-pro` 两个模型
* 生成的视频链接，有效期为24小时，请尽快保存

<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": "sora-2",
      "prompt": "瀑布倾泻而下形成彩虹",
      "duration": 8,
      "resolution": "720p",
      "aspect_ratio": "16:9",
      "image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
    }'
  ```

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

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

  payload = {
      "model": "sora-2",
      "prompt": "瀑布倾泻而下形成彩虹",
      "duration": 8,
      "resolution": "720p",
      "aspect_ratio": "16:9",
      "image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
  }

  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: "sora-2",
    prompt: "瀑布倾泻而下形成彩虹",
    duration: 8,
    resolution: "720p",
    aspect_ratio: "16:9",
    image_urls: [
      "https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png",
    ],
  };

  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":        "sora-2",
          "prompt":       "瀑布倾泻而下形成彩虹",
          "duration":     8,
          "resolution":   "720p",
          "aspect_ratio": "16:9",
          "image_urls":   []string{"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"},
      }

      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": "sora-2",
            "prompt": "瀑布倾泻而下形成彩虹",
            "duration": 8,
            "resolution": "720p",
            "aspect_ratio": "16:9",
            "image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
          }
          """;

          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" => "sora-2",
      "prompt" => "瀑布倾泻而下形成彩虹",
      "duration" => 8,
      "resolution" => "720p",
      "aspect_ratio" => "16:9",
      "image_urls" => ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
  ];

  $ch = curl_init($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: "sora-2",
    prompt: "瀑布倾泻而下形成彩虹",
    duration: 8,
    resolution: "720p",
    aspect_ratio: "16:9",
    image_urls: ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
  }

  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": "sora-2",
      "prompt": "瀑布倾泻而下形成彩虹",
      "duration": 8,
      "resolution": "720p",
      "aspect_ratio": "16:9",
      "image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
  ]

  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"": ""sora-2"",
              ""prompt"": ""瀑布倾泻而下形成彩虹"",
              ""duration"": 8,
              ""resolution"": ""720p"",
              ""aspect_ratio"": ""16:9"",
              ""image_urls"": [""https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png""]
          }";

          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);
      }
  }
  ```

  ```c C theme={null} theme={null}
  #include <stdio.h>
  #include <curl/curl.h>

  int main(void) {
      CURL *curl;
      CURLcode res;

      curl_global_init(CURL_GLOBAL_DEFAULT);
      curl = curl_easy_init();

      if(curl) {
          const char *url = "https://xcompute.us/v1/videos/generations";
          const char *payload = "{"
              "\"model\":\"sora-2\","
              "\"prompt\":\"瀑布倾泻而下形成彩虹\","
              "\"duration\":8,"
              "\"resolution\":\"720p\","
              "\"aspect_ratio\":\"16:9\","
              "\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png\"]"
          "}";

          struct curl_slist *headers = NULL;
          headers = curl_slist_append(headers, "Authorization: Bearer <token>");
          headers = curl_slist_append(headers, "Content-Type: application/json");

          curl_easy_setopt(curl, CURLOPT_URL, url);
          curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
          curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);

          res = curl_easy_perform(curl);

          if(res != CURLE_OK) {
              fprintf(stderr, "curl_easy_perform() failed: %s\n",
                      curl_easy_strerror(res));
          }

          curl_slist_free_all(headers);
          curl_easy_cleanup(curl);
      }

      curl_global_cleanup();
      return 0;
  }
  ```

  ```objectivec Objective-C theme={null} theme={null}
  #import <Foundation/Foundation.h>

  int main(int argc, const char * argv[]) {
      @autoreleasepool {
          NSURL *url = [NSURL URLWithString:@"https://xcompute.us/v1/videos/generations"];

          NSDictionary *payload = @{
              @"model": @"sora-2",
              @"prompt": @"瀑布倾泻而下形成彩虹",
              @"duration": @8,
              @"resolution": @"720p",
              @"aspect_ratio": @"16:9",
              @"image_urls": @[@"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
          };

          NSError *error;
          NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
                                                            options:0
                                                              error:&error];

          NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
          [request setHTTPMethod:@"POST"];
          [request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
          [request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
          [request setHTTPBody:jsonData];

          NSURLSessionDataTask *task = [[NSURLSession sharedSession]
              dataTaskWithRequest:request
              completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                  if (error) {
                      NSLog(@"Error: %@", error);
                      return;
                  }
                  NSString *result = [[NSString alloc] initWithData:data
                                                          encoding:NSUTF8StringEncoding];
                  NSLog(@"%@", result);
              }];

          [task resume];
          [[NSRunLoop mainRunLoop] run];
      }
      return 0;
  }
  ```

  ```ocaml OCaml theme={null} theme={null}
  (* Requires cohttp and yojson libraries *)
  open Lwt
  open Cohttp
  open Cohttp_lwt_unix

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

  let payload = {|{
    "model": "sora-2",
    "prompt": "瀑布倾泻而下形成彩虹",
    "duration": 8,
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
  }|}

  let () =
    let headers = Header.init ()
      |> fun h -> Header.add h "Authorization" "Bearer <token>"
      |> fun h -> Header.add h "Content-Type" "application/json"
    in
    let body = Cohttp_lwt.Body.of_string payload in

    let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
      body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
      print_endline body_str
    in
    Lwt_main.run response
  ```

  ```dart Dart theme={null} theme={null}
  import 'dart:convert';
  import 'package:http/http.dart' as http;

  void main() async {
    final url = Uri.parse('https://xcompute.us/v1/videos/generations');

    final payload = {
      'model': 'sora-2',
      'prompt': '瀑布倾泻而下形成彩虹',
      'duration': 8,
      'resolution': '720p',
      'aspect_ratio': '16:9',
      'image_urls': ['https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png']
    };

    final response = await http.post(
      url,
      headers: {
        'Authorization': 'Bearer <token>',
        'Content-Type': 'application/json',
      },
      body: jsonEncode(payload),
    );

    print(response.body);
  }
  ```

  ```r R theme={null} theme={null}
  library(httr)
  library(jsonlite)

  url <- "https://xcompute.us/v1/videos/generations"

  payload <- list(
    model = "sora-2",
    prompt = "瀑布倾泻而下形成彩虹",
    duration = 8,
    resolution = "720p",
    aspect_ratio = "16:9",
    image_urls = c("https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png")
  )

  response <- POST(
    url,
    add_headers(
      Authorization = "Bearer <token>",
      `Content-Type` = "application/json"
    ),
    body = toJSON(payload, auto_unbox = TRUE),
    encode = "raw"
  )

  cat(content(response, "text"))
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null} theme={null}
  {
    "code": 200,
    "data": [
      {
        "status": "submitted",
        "task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
      }
    ]
  }
  ```

  ```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 403 theme={null} theme={null}
  {
    "error": {
      "code": 403,
      "message": "访问被禁止，您没有权限访问此资源",
      "type": "permission_error"
    }
  }
  ```

  ```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"
    }
  }
  ```

  ```json 502 theme={null} theme={null}
  {
    "error": {
      "code": 502,
      "message": "网关错误，服务器暂时不可用",
      "type": "bad_gateway"
    }
  }
  ```
</ResponseExample>

## Authorizations

<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>

## Body

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

  支持的模型：

  * `sora-2` Sora 2 标准版
  * `sora-2-pro` Sora 2 Pro

  示例：`"sora-2"`
</ParamField>

<ParamField body="prompt" type="string" required>
  视频生成的文本描述

  示例：`"瀑布倾泻而下形成彩虹"`
</ParamField>

<ParamField body="duration" type="integer" default="4">
  支持的取值：`4`、`8`、`12`、`16`、`20`

  示例：`8`
</ParamField>

<ParamField body="resolution" type="string" default="720p">
  视频分辨率

  支持的取值：

  | 模型           | 可传值                    |
  | ------------ | ---------------------- |
  | `sora-2`     | `720p`                 |
  | `sora-2-pro` | `720p`、`1024p`、`1080p` |

  不传时默认 `720p`。

  示例：`"720p"`
</ParamField>

<ParamField body="aspect_ratio" type="string" default="16:9">
  视频宽高比，控制横屏或竖屏

  支持的取值：

  | 方向 | 可传值                |
  | -- | ------------------ |
  | 横屏 | `16:9`、`landscape` |
  | 竖屏 | `9:16`、`portrait`  |

  不传时默认横屏。

  <Warning>当传入 `image_urls`（图生视频）时，`aspect_ratio` 参数失效，无需上传；视频方向将依据参考图自动判定。</Warning>
</ParamField>

<ParamField body="image_urls" type="array<url>">
  用于图生视频的参考图像 URL 数组

  * 不传为文生视频；传 1 张为图生视频
  * **最多 1 张**
  * 支持公网可访问的图片 URL（http\:// 或 https\://）
  * 支持格式：`.jpeg`、`.jpg`、`.png`、`.webp`
  * 最大文件大小：10MB

  示例：`["https://example.com/image.jpg"]`
</ParamField>

## Response

<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>