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

# Generate Video

> Create a video generation task

# Generate Video

This API is used to create video generation tasks.

## Request

### Request Headers

<ParamField header="Authorization" type="string" required>
  API key authentication, format: `Bearer YOUR_API_KEY`
</ParamField>

<ParamField header="Content-Type" type="string" required>
  Request content type, must be: `application/json`
</ParamField>

### Request Parameters

question and questionImages must include at least one.

<ParamField body="question" type="string" required>
  Question content (text format)
</ParamField>

<ParamField body="questionImages" type="array">
  Question content (image format), input image URLs or base64
</ParamField>

<ParamField body="answer" type="string">
  Reference answer (text format): ensures accurate explanatory content generation
</ParamField>

<ParamField body="answerImages" type="array">
  Reference answer (image format), input image URLs or base64
</ParamField>

<ParamField body="quality" type="string" default="m">
  Video quality level:

  * `h`: High quality
  * `m`: Medium quality (default)
  * `l`: Low quality
</ParamField>

<ParamField body="notify_url" type="string">
  Callback URL when the task is completed (optional), complete URL including http
</ParamField>

## Response

<ResponseField name="status" type="string">
  Request status: `success` or `error`
</ResponseField>

<ResponseField name="data" type="object">
  Response data object

  <Expandable title="Success Response">
    <ResponseField name="task_id" type="string">
      Task ID, used to query task status
    </ResponseField>
  </Expandable>

  <Expandable title="Error Response">
    <ResponseField name="messages" type="string">
      Error message description
    </ResponseField>
  </Expandable>
</ResponseField>

## Examples

<RequestExample>
  ```python Python theme={null}
  import requests

  url = "https://api.scenext.cn/api/gen_video"
  headers = {
      "Authorization": "Bearer YOUR_API_KEY",
      "Content-Type": "application/json"
  }

  data = {
      "question": "What is Fourier series",
      "answer": "",
      "questionImages": [],
      "answerImages": [],
      "quality": "m",
      "notify_url": "https://your-domain.com/webhook"
  }

  response = requests.post(url, json=data, headers=headers)
  print(response.json())
  ```

  ```javascript JavaScript theme={null}
  const url = "https://api.scenext.cn/api/gen_video";
  const headers = {
      "Authorization": "Bearer YOUR_API_KEY",
      "Content-Type": "application/json"
  };

  const data = {
      question: "What is Fourier series",
      answer: "",
      questionImages: [],
      answerImages: [],
      quality: "m",
      notify_url: "https://your-domain.com/webhook"
  };

  fetch(url, {
      method: "POST",
      headers: headers,
      body: JSON.stringify(data)
  })
  .then(response => response.json())
  .then(data => console.log(data));
  ```

  ```bash cURL theme={null}
  curl -X POST https://api.scenext.cn/api/gen_video \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "question": "What is Fourier series",
      "answer": "",
      "questionImages": [],
      "answerImages": [],
      "quality": "m",
      "notify_url": "https://your-domain.com/webhook"
    }'
  ```
</RequestExample>

<ResponseExample>
  ```json Success Response theme={null}
  {
      "status": "success",
      "data": {
          "task_id": "12345"
      }
  }
  ```

  ```json Error Response theme={null}
  {
      "status": "error",
      "data": {
          "messages": "The video generation interface response is abnormal: 400 - Bad Request"
      }
  }
  ```
</ResponseExample>

## Notes

* Video generation is an asynchronous process that may take from a few minutes to several tens of minutes
* Please use the returned `task_id` to query task status
* If `notify_url` is provided, a callback notification will be sent when the task is completed