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

# Kling 1.6 Multi-Image-to-Video

> Kuaishou Kling 1.6 multi-image-to-video model. Generate videos from up to 4 reference images.

Kling 1.6 Multi-Image-to-Video is a multi-image-to-video model in Kuaishou's Kling series, available through the Starrise AI API. Upload up to 4 reference images and combine them with a text prompt to generate a coherent video featuring all referenced subjects.

## Key Capabilities

* **Multi-image input** — Use up to 4 reference images as character/scene sources
* **Text guidance** — Combine images and text prompts to control video narrative
* **Flexible duration** — Generate 5-second or 10-second videos
* **Aspect ratio** — Supports 16:9, 9:16, and 1:1 output formats
* **Standard & Pro modes** — Choose standard mode or high-quality pro mode

## Quick Example

<CodeGroup>
  ```bash cURL theme={null}
  curl https://ai.alad.com/kling/v1/videos/multi-image2video \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "model_name": "kling-v1-6",
      "image_list": [
        {"image": "https://example.com/person1.jpg"},
        {"image": "https://example.com/person2.jpg"}
      ],
      "prompt": "Two people shake hands and smile at each other",
      "duration": "5",
      "mode": "std",
      "aspect_ratio": "16:9"
    }'
  ```

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

  response = requests.post(
      "https://ai.alad.com/kling/v1/videos/multi-image2video",
      headers={
          "Authorization": "Bearer YOUR_API_KEY",
          "Content-Type": "application/json"
      },
      json={
          "model_name": "kling-v1-6",
          "image_list": [
              {"image": "https://example.com/person1.jpg"},
              {"image": "https://example.com/person2.jpg"}
          ],
          "prompt": "Two people shake hands and smile at each other",
          "duration": "5",
          "mode": "std",
          "aspect_ratio": "16:9"
      }
  )

  task = response.json()
  print(f"Task ID: {task['task_id']}")
  ```
</CodeGroup>

## Parameters

| Parameter         | Type   | Required | Description                                                            |
| ----------------- | ------ | -------- | ---------------------------------------------------------------------- |
| `model_name`      | string | No       | Must be `kling-v1-6`                                                   |
| `image_list`      | array  | Yes      | Reference images (1–4), each item format: `{"image": "url_or_base64"}` |
| `prompt`          | string | Yes      | Text prompt (up to 2500 characters)                                    |
| `negative_prompt` | string | No       | Negative prompt (up to 2500 characters)                                |
| `mode`            | string | No       | `std` or `pro`, default `std`                                          |
| `duration`        | string | No       | `5` or `10` seconds, default `5`                                       |
| `aspect_ratio`    | string | No       | `16:9`, `9:16`, or `1:1`, default `16:9`                               |
| `callback_url`    | string | No       | Task status callback URL                                               |

<Card title="API Reference" icon="code" href="/en/api-reference/model-api/kuaishou/kling-v1-6-mi2v">
  View the interactive API Playground for Kling 1.6 Multi-Image-to-Video.
</Card>