# Kling Kling v2.6 Pro — Image To Video

> kling 2.6 pro delivers production-grade AI video with native audio and physics. Generate 1080p clips with precise motion control via API at GPTProto.com.

## Overview

- **Endpoint**: `POST https://gptproto.com/api/v3/kwaivgi/kling-v2.6-pro/image-to-video`
- **Query endpoint**: `POST https://gptproto.com/api/v3/predictions/{{id}}/result`
- **Model ID**: `kling-v2.6-pro`
- **Vendor**: Kling
- **Scene**: `image-to-video`
- **Category**: image-to-video
- **Modalities**: input image → output video
- **Model page**: https://gptproto.com/model/kling/kling-v2.6-pro/image-to-video
- **API documentation**: https://docs.gptproto.com/docs/allapi/Kling/kling-v2.6-pro/gptproto-format/image-to-video
- **Other scenes of this model**: `text-to-video`, `motion-control` — same auth, different endpoint path and input schema

## Authentication

Every request needs a GPTProto API key. Create one at https://gptproto.com/dashboard/api-key, then export it:

```bash
export GPTPROTO_API_KEY="your-api-key"
```

Header: `Authorization: Bearer $GPTPROTO_API_KEY`.

## Pricing

Platform price by tier (USD, already includes the GPTProto discount):

- **5** — $0.28 per run
- **5** — $0.56 per run
- **5** — $0.672 per run
- **10** — $0.56 per run
- **10** — $1.12 per run
- **10** — $1.34 per run

Price range: $0.28 – $1.34 per generation.

Prices may change. The model page always shows the live price: https://gptproto.com/model/kling/kling-v2.6-pro/image-to-video

## API Information

The examples below use this model's official request format. Submit the first request, then poll the query endpoint until the vendor operation finishes.

### Input Schema

The accepted JSON body is the official request shape below:

**Full Example**:

```json
{
  "prompt": "cat say：“hi! welcome to gptproto”",
  "image": "https://tos.gptproto.com/resource/cat.png",
  "last_image": "",
  "negative_prompt": "",
  "sound": true,
  "voice_list": [
    {
      "voice_id": "837076832956186666"
    }
  ],
  "duration": 5
}
```

## Usage Examples

### 1. Submit a request

```bash
curl --request POST "https://gptproto.com/api/v3/kwaivgi/kling-v2.6-pro/image-to-video" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "cat say：“hi! welcome to gptproto”",
    "image": "https://tos.gptproto.com/resource/cat.png",
    "last_image": "",
    "negative_prompt": "",
    "sound": true,
    "voice_list": [
      {
        "voice_id": "837076832956186666"
      }
    ],
    "duration": 5
  }'
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/kwaivgi/kling-v2.6-pro/image-to-video"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}
payload = {
  "prompt": "cat say：“hi! welcome to gptproto”",
  "image": "https://tos.gptproto.com/resource/cat.png",
  "last_image": "",
  "negative_prompt": "",
  "sound": True,
  "voice_list": [
    {
      "voice_id": "837076832956186666"
    }
  ],
  "duration": 5
}

response = requests.request("POST", url, headers=headers, json=payload)
print(response.json())
```

```typescript
const response = await fetch("https://gptproto.com/api/v3/kwaivgi/kling-v2.6-pro/image-to-video", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    prompt: "cat say：“hi! welcome to gptproto”",
    image: "https://tos.gptproto.com/resource/cat.png",
    last_image: "",
    negative_prompt: "",
    sound: true,
    voice_list: [
      {
        voice_id: "837076832956186666",
      },
    ],
    duration: 5,
  }),
});

const data = await response.json();
console.log(data);
```

### 2. Check status

Replace `{{operation_id}}` (or the operation name in the URL) with the value returned by the submit request, and keep polling until the operation completes.

```bash
curl --request POST "https://gptproto.com/api/v3/predictions/{{id}}/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json"
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/predictions/{{id}}/result"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}

response = requests.request("POST", url, headers=headers)
print(response.json())
```

```typescript
const response = await fetch("https://gptproto.com/api/v3/predictions/{{id}}/result", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
});

const data = await response.json();
console.log(data);
```

## Example Prompts

- Scene: No visible people. Only a white robotic vacuum cleaner is shown along with its cleaning path on the floor. Audio: A soft female narrator speaks, accompanied by gentle vacuum-cleaning sound effects: "Still struggling with dust in the corners? This robotic vacuum cleans righ…
- Scene: A tabletop setup featuring ASMR trigger props such as a crystal glass, wooden block, and makeup brushes. Audio: Soft "shhh—shhh" brushing sounds as a makeup brush gently sweeps across the crystal glass and wooden block. Camera: Focuses closely on the props and the precise…
- Scene: On a beach with sunlight spilling across golden sand, waves crashing onto the shore and forming white foam. Subject: A young American male wearing a backwards baseball cap, holding a camera for a selfie, smiling naturally. Audio: The young American male with a bright, sunn…

## HTTP Status Codes

- `400` — malformed body, a parameter or value this model does not accept, or input blocked by the provider's content moderation
- `401` — missing or invalid API key
- `403` — insufficient credits
- `413` — request body too large
- `429` — rate limited; retry with backoff
- `500` — An internal server error occurred
- `502` — An internal server error occurred
- `504` — Gateway timeout — upstream service did not respond in time; retry later

## Additional Resources

- [Model page](https://gptproto.com/model/kling/kling-v2.6-pro/image-to-video)
- [API documentation](https://docs.gptproto.com/docs/allapi/Kling/kling-v2.6-pro/gptproto-format/image-to-video)
- [All models](https://gptproto.com/model)
- [API keys](https://gptproto.com/dashboard/api-key)
- [Platform overview for LLMs](https://gptproto.com/llm-full.txt)
- Any other model: `https://gptproto.com/model/{vendor}/{model}/{scene}/llms.txt`