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

# Wan2.7 Video Generation

>  - Alibaba Cloud Wanxiang 2.7 video generation model (unified entry)
- Automatically routed based on parameters: Text-to-Video / Image-to-Video (first frame, first-last frame, video continuation)
- Supports 720P/1080P resolution, 2-15 seconds duration
- Supports custom audio (background music in text-to-video mode, driving audio in image-to-video mode) 

<RequestExample>
  ```bash cURL theme={null}
  curl --request POST \
    --url https://api.apimart.ai/v1/videos/generations \
    --header 'Authorization: Bearer <token>' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "wan2.7",
      "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
      "resolution": "1080P",
      "duration": 8,
      "size": "16:9"
    }'
  ```

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

  url = "https://api.apimart.ai/v1/videos/generations"

  payload = {
      "model": "wan2.7",
      "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
      "resolution": "1080P",
      "duration": 8,
      "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}
  const url = "https://api.apimart.ai/v1/videos/generations";

  const payload = {
    model: "wan2.7",
    prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    resolution: "1080P",
    duration: 8,
    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}
  package main

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

  func main() {
      url := "https://api.apimart.ai/v1/videos/generations"

      payload := map[string]interface{}{
          "model":      "wan2.7",
          "prompt":     "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
          "resolution": "1080P",
          "duration":   8,
          "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}
  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.apimart.ai/v1/videos/generations";

          String payload = """
          {
            "model": "wan2.7",
            "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
            "resolution": "1080P",
            "duration": 8,
            "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}
  <?php

  $url = "https://api.apimart.ai/v1/videos/generations";

  $payload = [
      "model" => "wan2.7",
      "prompt" => "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
      "resolution" => "1080P",
      "duration" => 8,
      "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}
  require 'net/http'
  require 'json'
  require 'uri'

  url = URI("https://api.apimart.ai/v1/videos/generations")

  payload = {
    model: "wan2.7",
    prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
    resolution: "1080P",
    duration: 8,
    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}
  import Foundation

  let url = URL(string: "https://api.apimart.ai/v1/videos/generations")!

  let payload: [String: Any] = [
      "model": "wan2.7",
      "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
      "resolution": "1080P",
      "duration": 8,
      "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}
  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.apimart.ai/v1/videos/generations";

          var payload = @"{
              ""model"": ""wan2.7"",
              ""prompt"": ""A coastal road at sunset, slow-motion camera push-in, cinematic feel"",
              ""resolution"": ""1080P"",
              ""duration"": 8,
              ""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}
  {
    "code": 200,
    "data": [
      {
        "status": "submitted",
        "task_id": "task_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
      }
    ]
  }
  ```

  ```json 400 theme={null}
  {
    "error": {
      "code": 400,
      "message": "Invalid request parameters",
      "type": "invalid_request_error"
    }
  }
  ```

  ```json 401 theme={null}
  {
    "error": {
      "code": 401,
      "message": "Invalid authentication credentials",
      "type": "authentication_error"
    }
  }
  ```

  ```json 402 theme={null}
  {
    "error": {
      "code": 402,
      "message": "Insufficient balance. Please top up your account",
      "type": "payment_required"
    }
  }
  ```

  ```json 429 theme={null}
  {
    "error": {
      "code": 429,
      "message": "Rate limit exceeded. Please try again later",
      "type": "rate_limit_error"
    }
  }
  ```

  ```json 500 theme={null}
  {
    "error": {
      "code": 500,
      "message": "Internal server error. Please try again later",
      "type": "server_error"
    }
  }
  ```
</ResponseExample>

## Authorization

<ParamField header="Authorization" type="string" required>
  All API endpoints require Bearer Token authentication

  Get your API Key:

  Visit the [API Key Management Page](https://apimart.ai/keys) to get your API Key

  Add it to the request header:

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

## Mode Routing

`wan2.7` is a unified entry for text-to-video and image-to-video. The backend automatically determines the mode based on the incoming parameters. **Both modes are billed identically**:

| Condition                                                           | Routes To      | Mode Description                                    |
| ------------------------------------------------------------------- | -------------- | --------------------------------------------------- |
| Any of `image_urls` / `image_with_roles` / `video_urls` is provided | Image-to-Video | First-frame / First-last frame / Video continuation |
| None of the above parameters provided                               | Text-to-Video  | Generate video purely from text description         |

## Request Parameters

<ParamField body="model" type="string" required>
  Video generation model name, fixed as `wan2.7`
</ParamField>

<ParamField body="prompt" type="string">
  Video content description, up to 5000 characters

  * **Text-to-Video mode** (when no image/video provided): required
  * **Image-to-Video mode**: optional, but recommended to guide camera movement and actions

  Example: `"A cat chasing butterflies on the grass, bright sunshine, slow motion"`
</ParamField>

<ParamField body="image_urls" type="array<string>">
  Image URL array. Providing it automatically enters Image-to-Video mode

  * **1 image**: first-frame to video
  * **2 images**: first-last frame to video (1st = first frame, 2nd = last frame)

  Use either this or `image_with_roles`

  <Warning>
    `image_urls` conflicts with `audio_url`; they cannot be provided at the same time
  </Warning>
</ParamField>

<ParamField body="image_with_roles" type="array<object>">
  Image array with roles, alternative to `image_urls`, used to precisely specify the role of each image

  Fields for each object:

  * `url` (string): image URL (supports http/https)
  * `role` (string): image role, `first_frame` / `last_frame`, default `first_frame`

  Example:

  ```json theme={null}
  [
    { "url": "https://cdn.example.com/start.jpg", "role": "first_frame" },
    { "url": "https://cdn.example.com/end.jpg", "role": "last_frame" }
  ]
  ```

  <Warning>
    `image_with_roles` conflicts with `audio_url`; they cannot be provided at the same time
  </Warning>
</ParamField>

<ParamField body="video_urls" type="array<string>">
  Video URL array. Providing it enters **video continuation** mode (only the 1st video is used)

  <Warning>
    `video_urls` conflicts with `audio_url`; they cannot be provided at the same time
  </Warning>

  <Note>
    **Video constraints:**

    * Format: mp4, mov
    * Duration: 2–10s
    * Resolution: width and height in the range \[240, 4096] pixels
    * Aspect ratio: 1:8 – 8:1
    * File size: up to 100MB
  </Note>
</ParamField>

<ParamField body="negative_prompt" type="string">
  Negative prompt describing unwanted content, up to 500 characters

  Example: `"blurry, distorted, low quality"`
</ParamField>

<ParamField body="resolution" type="string" default="1080P">
  Video resolution

  Options:

  * `720P` - Standard
  * `1080P` - High definition (default)
</ParamField>

<ParamField body="duration" type="integer" default="5">
  Video duration (seconds)

  Supported range: `2` \~ `15` seconds

  Default: `5`
</ParamField>

<ParamField body="size" type="string" default="16:9">
  Aspect ratio, **only effective in Text-to-Video mode** (when no image/video provided)

  Supported formats:

  * `16:9` - Landscape widescreen (default)
  * `9:16` - Portrait
  * `1:1` - Square
  * `4:3` - Landscape
  * `3:4` - Portrait

  <Warning>
    This parameter is ignored in Image-to-Video mode; the aspect ratio is determined automatically by the input image
  </Warning>
</ParamField>

<ParamField body="audio_url" type="string">
  Custom audio URL

  * **Text-to-Video mode**: used as background music
  * **Image-to-Video mode**: used as driving audio, synchronized with on-screen actions

  Format: wav / mp3, duration 2-30 seconds, file size ≤ 15MB

  <Warning>
    `audio_url` conflicts with `video_urls`, `image_urls`, and `image_with_roles`; they cannot be provided at the same time
  </Warning>
</ParamField>

<ParamField body="prompt_extend" type="boolean" default="true">
  Whether to enable intelligent prompt rewriting

  Significantly improves results for short prompts, but increases processing time

  Default: `true`
</ParamField>

<ParamField body="watermark" type="boolean" default="false">
  Whether to add "AI Generated" watermark to the generated video

  * `true`: add watermark
  * `false`: no watermark (default)
</ParamField>

<ParamField body="seed" type="integer">
  Seed integer used to control the randomness of generated content

  Value range: integer `≥0`

  <Note>
    * For identical requests, the model generates different results when receiving different seed values (e.g., omitting seed)
    * For identical requests, the model generates similar results when receiving the same seed value, but exact consistency is not guaranteed
  </Note>
</ParamField>

## Response

<ResponseField name="code" type="integer">
  Response status code, 200 on success
</ResponseField>

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

  <Expandable title="Array Elements">
    <ResponseField name="status" type="string">
      Task status, `submitted` when initially submitted
    </ResponseField>

    <ResponseField name="task_id" type="string">
      Unique task identifier for querying task status and results
    </ResponseField>
  </Expandable>
</ResponseField>

## Use Cases

### Case 1: Text-to-Video (Simplest Request)

```json theme={null}
{
  "model": "wan2.7",
  "prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel"
}
```

### Case 2: Text-to-Video (Full Parameters)

```json theme={null}
{
  "model": "wan2.7",
  "prompt": "A cat chasing butterflies on the grass, bright sunshine, slow motion",
  "negative_prompt": "blurry, distorted, low quality",
  "resolution": "1080P",
  "duration": 8,
  "size": "16:9",
  "audio_url": "https://cdn.example.com/bgm.mp3",
  "prompt_extend": true,
  "watermark": false,
  "seed": 42
}
```

### Case 3: First-Frame to Video

```json theme={null}
{
  "model": "wan2.7",
  "prompt": "The character slowly stands up and walks toward the camera",
  "image_urls": ["https://cdn.example.com/person.jpg"],
  "resolution": "1080P",
  "duration": 8
}
```

### Case 4: First-Last Frame to Video

```json theme={null}
{
  "model": "wan2.7",
  "prompt": "The camera pans slowly from the beach to the mountaintop",
  "image_urls": [
    "https://cdn.example.com/beach.jpg",
    "https://cdn.example.com/mountain.jpg"
  ],
  "resolution": "1080P",
  "duration": 10
}
```

> With 2 images: the 1st is the first frame, the 2nd is the last frame. You can also use `image_with_roles` for precise specification.

### Case 5: Video Continuation

```json theme={null}
{
  "model": "wan2.7",
  "prompt": "Continue walking forward, camera follows",
  "video_urls": ["https://cdn.example.com/clip.mp4"],
  "resolution": "1080P",
  "duration": 8
}
```

### Case 6: Image + Driving Audio

```json theme={null}
{
  "model": "wan2.7",
  "prompt": "The character moves to the rhythm of the music",
  "image_urls": ["https://cdn.example.com/dancer.jpg"],
  "audio_url": "https://cdn.example.com/beat.mp3",
  "resolution": "1080P",
  "duration": 8
}
```

## Mode Selection Guide

| Requirement                   | Recommended Approach                         |
| ----------------------------- | -------------------------------------------- |
| Generate video from text only | Pass only `prompt` (no image/video)          |
| Make an image "come alive"    | Pass 1 image to `image_urls`                 |
| Control start and end frames  | Pass 2 images to `image_urls` (first + last) |
| Extend an existing video      | Pass video to `video_urls`                   |
| Make image move to music      | Pass image + `audio_url`                     |

<Note>
  **Query Task Results**

  Video generation is an async task that returns a `task_id` upon submission. Use the [Get Task Status](/en/api-reference/tasks/status) endpoint to query generation progress and results.
</Note>