> ## 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.

# Kling 3.0 Turbo Video Generation

>  - Asynchronous processing mode, returns a task ID for subsequent queries
- Supports text-to-video and image-to-video (first-frame control)
- Supports two resolution tiers: 720P / 1080P
- Supports video durations of 3-15 seconds
- Supports multi-shot storyboards (expressed via a fixed-format prompt) 

<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": "kling-3.0-turbo",
      "prompt": "A corgi running on the beach, cinematic, golden-hour light",
      "aspect_ratio": "16:9",
      "resolution": "1080p",
      "duration": 5
    }'
  ```

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

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

  payload = {
      "model": "kling-3.0-turbo",
      "prompt": "A corgi running on the beach, cinematic, golden-hour light",
      "aspect_ratio": "16:9",
      "resolution": "1080p",
      "duration": 5
  }

  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: "kling-3.0-turbo",
    prompt: "A corgi running on the beach, cinematic, golden-hour light",
    aspect_ratio: "16:9",
    resolution: "1080p",
    duration: 5
  };

  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":        "kling-3.0-turbo",
          "prompt":       "A corgi running on the beach, cinematic, golden-hour light",
          "aspect_ratio": "16:9",
          "resolution":   "1080p",
          "duration":     5,
      }

      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": "kling-3.0-turbo",
            "prompt": "A corgi running on the beach, cinematic, golden-hour light",
            "aspect_ratio": "16:9",
            "resolution": "1080p",
            "duration": 5
          }
          """;

          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" => "kling-3.0-turbo",
      "prompt" => "A corgi running on the beach, cinematic, golden-hour light",
      "aspect_ratio" => "16:9",
      "resolution" => "1080p",
      "duration" => 5
  ];

  $ch = curl_init($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: "kling-3.0-turbo",
    prompt: "A corgi running on the beach, cinematic, golden-hour light",
    aspect_ratio: "16:9",
    resolution: "1080p",
    duration: 5
  }

  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": "kling-3.0-turbo",
      "prompt": "A corgi running on the beach, cinematic, golden-hour light",
      "aspect_ratio": "16:9",
      "resolution": "1080p",
      "duration": 5
  ]

  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"": ""kling-3.0-turbo"",
              ""prompt"": ""A corgi running on the beach, cinematic, golden-hour light"",
              ""aspect_ratio"": ""16:9"",
              ""resolution"": ""1080p"",
              ""duration"": 5
          }";

          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_xxxxxxxxxx"
      }
    ]
  }
  ```

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

  ```json 401 theme={null}
  {
    "error": {
      "code": 401,
      "message": "Authentication failed, please check your API key",
      "type": "authentication_error"
    }
  }
  ```

  ```json 402 theme={null}
  {
    "error": {
      "code": 402,
      "message": "Insufficient account balance, please top up and try again",
      "type": "payment_required"
    }
  }
  ```

  ```json 429 theme={null}
  {
    "error": {
      "code": 429,
      "message": "Too many requests, 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>

## Authentication

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

  Get an API Key:

  Visit the [API Key management page](https://apimart.ai/keys) to obtain your API Key

  Add it to the request header when using it:

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

## Request Parameters

<ParamField body="model" type="string" required>
  Video generation model name

  Supported models:

  * `kling-3.0-turbo` - Kling 3.0 Turbo
</ParamField>

<ParamField body="prompt" type="string" required>
  Text prompt

  The upstream limit is no more than 3072 characters; we recommend no more than 2500 characters.

  Example: `"A corgi running on the beach, cinematic, golden-hour light"`
</ParamField>

<ParamField body="first_frame_image" type="string">
  Supports an **image URL** or **Base64**.

  <Warning>
    Upstream limits for the first-frame image:

    * Format: `.jpg` / `.jpeg` / `.png`
    * Size: ≤ 50MB
    * Width/height: ≥ 300px
    * Aspect ratio: `1:2.5` \~ `2.5:1`
  </Warning>
</ParamField>

<ParamField body="aspect_ratio" type="string" default="16:9">
  Video aspect ratio

  Available values:

  * `16:9` - Landscape
  * `9:16` - Portrait
  * `1:1` - Square

  Default value: `16:9`

  <Note>
    **Only effective for text-to-video**. This field has no effect for image-to-video; the video ratio is determined by the first-frame image.
  </Note>
</ParamField>

<ParamField body="resolution" type="string" default="720p">
  Video resolution

  Available values:

  * `720p`
  * `1080p`

  Default value: `720p`
</ParamField>

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

  Value range: 3-15 (minimum 3 seconds, maximum 15 seconds)

  Default value: `5`

  **⚠️ Note:** You must enter a plain number (e.g. `6`); do not add quotes, otherwise it will cause an error
</ParamField>

<ParamField body="watermark" type="boolean">
  Whether to add a watermark

  Only passed to the upstream when explicitly provided; if omitted, no watermark is added.
</ParamField>

## Text-to-Video vs Image-to-Video

The system **automatically determines** the generation mode based on whether `first_frame_image` is provided: with a first-frame image it uses image-to-video, without one it uses text-to-video. Users do not need to declare it explicitly.

| Parameter           | Text-to-Video     | Image-to-Video                                                     |
| ------------------- | ----------------- | ------------------------------------------------------------------ |
| `prompt`            | ✅ Required        | ✅ Optional (if empty, generated purely from the first-frame image) |
| `first_frame_image` | ❌ Not passed      | ✅ Required                                                         |
| `aspect_ratio`      | ✅ Optional        | ❌ No effect (ratio determined by the first-frame image)            |
| `resolution`        | ✅ Optional        | ✅ Optional                                                         |
| `duration`          | ✅ Optional (3-15) | ✅ Optional (3-15)                                                  |
| `watermark`         | ✅ Optional        | ✅ Optional                                                         |

## Response

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

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

  <Expandable title="Array element">
    <ResponseField name="status" type="string">
      Task status, `submitted` upon initial submission
    </ResponseField>

    <ResponseField name="task_id" type="string">
      Unique task identifier, used to query the task status and result
    </ResponseField>
  </Expandable>
</ResponseField>

## Use Cases

### Scenario 1: Text-to-Video (1080P)

```json theme={null}
{
  "model": "kling-3.0-turbo",
  "prompt": "A corgi running on the beach, cinematic, golden-hour light",
  "aspect_ratio": "16:9",
  "resolution": "1080p",
  "duration": 5
}
```

### Scenario 2: Text-to-Video (Portrait 720P)

```json theme={null}
{
  "model": "kling-3.0-turbo",
  "prompt": "Shibuya crossing in Tokyo, neon lights on a rainy night reflecting on the wet ground, pedestrians walking through with umbrellas",
  "aspect_ratio": "9:16",
  "resolution": "720p",
  "duration": 10
}
```

### Scenario 3: Image-to-Video (First-Frame Image)

```json theme={null}
{
  "model": "kling-3.0-turbo",
  "prompt": "The camera slowly pushes in, the character smiles",
  "first_frame_image": "https://cdn.example.com/first.jpg",
  "resolution": "720p",
  "duration": 5
}
```

### Scenario 4: Image-to-Video from First Frame Only (No Prompt)

```json theme={null}
{
  "model": "kling-3.0-turbo",
  "first_frame_image": "https://cdn.example.com/first.jpg",
  "resolution": "1080p",
  "duration": 5
}
```

### Scenario 5: Multi-Shot Storyboard (Text-to-Video)

```json theme={null}
{
  "model": "kling-3.0-turbo",
  "prompt": "Shot 1,2,a corgi running on the beach;Shot 2,3,the camera pushes in on the character smiling;",
  "aspect_ratio": "16:9",
  "resolution": "1080p",
  "duration": 5
}
```

<Note>
  **Querying the Task Result**

  Video generation is an asynchronous task; after submission a `task_id` is returned. Use the [Get Task Status](/en/api-reference/tasks/status) endpoint to query the generation progress and result.
</Note>