Create Video From Multiple Images

April 18, 2025

Table of contents

  1. Request Headers
  2. Request Body
  3. Responses
  4. Model
  5. Examples
  6. Try It

This endpoint generates a video from multiple images (up to 4) that will appear as elements in the video.

https://api.useapi.net/v1/kling/videos/image2video-elements

Request Headers 
Authorization: Bearer {API token}
Content-Type: application/json
# Alternatively you can use multipart/form-data
# Content-Type: multipart/form-data
Request Body 
{
  "email": "[email protected]",
  "prompt": "A museum gallery with artwork on display",
  "image_0": "https://example.com/image1.jpg",
  "image_1": "https://example.com/image2.jpg",
  "image_2": "https://example.com/image3.jpg",
  "image_3": "https://example.com/image4.jpg",
  "negative_prompt": "low quality, blurry, distorted",
  "duration": "5",
  "aspect_ratio": "16:9",
  "model_name": "kling-v1-6",
  "mode": "std",
  "replyUrl": "https://your-callback-url.com/webhook",
  "replyRef": "your-reference-id"
}

  • email is optional when only one account configured.
    However, if you have multiple accounts configured, this parameter becomes required.

  • prompt is required, text description of the video to generate.
    Maximum length: 2500 characters.

  • image_0 to image_3 are URLs to images that will appear in the video. At least one image must be provided.
    Images can be uploaded using POST /assets and the returned URLs can be used here.

  • negative_prompt is optional, what not to include in the generated video.
    Maximum length: 2500 characters.

  • duration is optional, length of the video in seconds.
    Options: 5 (default) or 10.

  • aspect_ratio is optional, the video aspect ratio.
    Options: 16:9 (default), 9:16, 1:1.

  • model_name is optional, the AI model version to use.
    Options: kling-v1-5, kling-v1-6 (default). Note: kling-v2-0 is not supported for this endpoint.

  • mode is optional, quality level.
    Options: std (standard, default) or pro (higher quality, slower generation).

  • maxJobs is optional, range from 1 to 10.
    Specifies the maximum number of concurrent jobs.

  • replyUrl is optional, a callback URL to receive results when completed.

  • replyRef is optional, a reference identifier for the callback.

Note: At least one of image_0, image_1, image_2, or image_3 must be provided.

Responses

  • 200 OK

    {
  "id": 12345678,
  "created": 1712345678000,
  "status": "submitted",
  "status_final": false,
  "type": "m2v_img2video",
  "taskInfo": {
    "inputs": [
      {
        "name": "ref_img_0",
        "url": "https://example.com/image1.jpg"
      },
      {
        "name": "raw_ref_img_0",
        "url": "https://example.com/image1.jpg"
      },
      {
        "name": "ref_img_1",
        "url": "https://example.com/image2.jpg"
      },
      {
        "name": "raw_ref_img_1",
        "url": "https://example.com/image2.jpg"
      }
    ],
    "arguments": [
      {
        "name": "prompt",
        "value": "A museum gallery with artwork on display"
      },
      {
        "name": "negative_prompt",
        "value": "low quality, blurry, distorted"
      },
      {
        "name": "duration",
        "value": "5"
      },
      {
        "name": "aspect_ratio",
        "value": "16:9"
      },
      {
        "name": "kling_version",
        "value": "1.6"
      },
      {
        "name": "imageList",
        "value": "[{\"top\":0,\"left\":0,\"width\":1,\"height\":1},{\"top\":0,\"left\":0,\"width\":1,\"height\":1}]"
      }
    ]
  },
  "scheduled": true
}

  • 400 Bad Request

    {
  "error": "At least one image (image_0, image_1, image_2 or image_3) is required"
}

  • 401 Unauthorized

    {
  "error": "Unauthorized",
  "code": 401
}

When successful, the response includes a task ID which can be used to check the status using GET /tasks/{task_id}.

Model 
{ // TypeScript, all fields are optional
  id: number          // Task ID
  created: number     // Creation timestamp in milliseconds
  status: string      // Task status: "submitted", "processing", "failed", or "succeed"
  status_final: boolean // Whether this is the final status of the task
  type: string        // Task type ("m2v_img2video" or "m2v_img2video_hq")
  taskInfo: {
    inputs: Array<{
      name: string    // Input name (ref_img_0, raw_ref_img_0, etc.)
      url: string     // Input URL
    }>
    arguments: Array<{
      name: string    // Argument name
      value: string   // Argument value
    }>
  }
  scheduled: boolean  // Whether the task is scheduled
}
Examples 
  • curl -X POST "https://api.useapi.net/v1/kling/videos/image2video-elements" \
   -H "Content-Type: application/json" \
   -H "Authorization: Bearer …" \
   -d '{
     "email": "[email protected]",
     "prompt": "A museum gallery with artwork on display",
     "image_0": "https://example.com/image1.jpg",
     "image_1": "https://example.com/image2.jpg",
     "negative_prompt": "low quality, blurry, distorted"
   }'

  • const token = "API token";
const email = "Previously configured account email";
const apiUrl = "https://api.useapi.net/v1/kling/videos/image2video-elements"; 
const response = await fetch(apiUrl, {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": `Bearer ${token}`,
  },
  body: JSON.stringify({
    email: email,
    prompt: "A museum gallery with artwork on display",
    image_0: "https://example.com/image1.jpg",
    image_1: "https://example.com/image2.jpg",
    negative_prompt: "low quality, blurry, distorted"
  })
});
const result = await response.json();
console.log("response", {response, result});

  • import requests
token = "API token"
email = "Previously configured account email"
apiUrl = "https://api.useapi.net/v1/kling/videos/image2video-elements"
headers = {
    "Content-Type": "application/json", 
    "Authorization" : f"Bearer {token}"
}
data = {
    "email": email,
    "prompt": "A museum gallery with artwork on display",
    "image_0": "https://example.com/image1.jpg",
    "image_1": "https://example.com/image2.jpg",
    "negative_prompt": "low quality, blurry, distorted"
}
response = requests.post(apiUrl, headers=headers, json=data)
print(response, response.json())
Try It