# Kling Kling Video o1 Pro — Image To Video

> Access Kling Video o1 Pro for advanced physics reasoning and 1080p cinematic AI generation. Use GPTProto for unified billing and OpenAI-compatible API access.

## Overview

- **Endpoint**: `POST https://gptproto.com/api/v3/kling/kling-video-o1-pro/image-to-video`
- **Result URL**: `GET https://gptproto.com/api/v3/predictions/{result_id}/result` — the submit response also returns the authoritative URL in `data.urls.get`
- **Model ID**: `kling-video-o1-pro`
- **Vendor**: Kling
- **Scene**: `image-to-video`
- **Category**: image-to-video
- **Modalities**: input image → output video
- **Playground**: https://gptproto.com/model/kling/kling-video-o1-pro/image-to-video
- **API documentation**: https://docs.gptproto.com/docs/allapi/Kling/kling-video-o1-pro/gptproto-format/image-to-video
- **Other scenes of this model**: `text-to-video`, `reference-to-video`, `video-to-video` — same auth, different endpoint path and input schema

## Authentication

Every request needs a GPTProto API key in the `Authorization` header. 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` (plus `Content-Type: application/json` on POST).

## Pricing

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

- **3** — $0.2688 per run
- **4** — $0.3584 per run
- **5** — $0.448 per run
- **6** — $0.5376 per run
- **7** — $0.6272 per run
- **8** — $0.7168 per run
- **9** — $0.8064 per run
- **10** — $0.896 per run

Price range: $0.2688 – $0.896 per generation.

Prices may change. The model page always shows the live price: https://gptproto.com/model/kling/kling-video-o1-pro/image-to-video

## API Information

The API is asynchronous: POST the endpoint to create a prediction, then poll its result URL until `status` is `completed` or `failed`.

### Input Schema

The endpoint accepts the following JSON body parameters:

- **`prompt`** (`string`, _required_):
  The positive prompt for the generation.

- **`image`** (`string`, _required_):
  irst_frame is the first frame

- **`last_image`** (`string`, _optional_):
  last_frame is the last frame.

- **`duration`** (`enum`, _optional_):
  The duration of the generated media. Only 5s or 10s are supported when last_image is not used.
  - Default: `5`
  - Options: 3, 4, 5, 6, 7, 8, 9, 10

**Required Parameters Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "image": "https://oss.gptproto.com/ai/api7a261ba5-ea1a-4161-9ff4-bbffe807972f.png"
}
```

**Full Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "image": "https://oss.gptproto.com/ai/api7a261ba5-ea1a-4161-9ff4-bbffe807972f.png",
  "last_image": "",
  "duration": 5
}
```

### Output Schema

Both submit and poll return the same envelope:

- **`data.id`** (`string`): Prediction id. Use it as `result_id` when polling for the result.
- **`data.status`** (`string`): One of `created`, `running`, `completed`, `failed`. See Status Values below.
- **`data.outputs`** (`array of string`): Generated files. Empty until `status` is `completed`; then it holds the output URLs (or base64 strings when the model exposes a base64 option).
- **`data.urls.get`** (`string`): Authoritative result URL for this prediction. Prefer it over building the poll URL yourself.
- **`data.error`** (`string | null`): Failure reason when `status` is `failed`, otherwise `null`.
- **`data.executionTime`** (`integer`): Total processing time in milliseconds.
- **`data.timings.inference`** (`integer`): Model inference time in milliseconds.
- **`data.hasNsfwContents`** (`array of boolean`): Per-output moderation flags.
- **`message`** (`string`): `success` on a normal response, otherwise the error message.
- **`code`** (`integer`): Business status code. `200` means the request was accepted.

**Example Response — submit (task accepted)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "kling-video-o1-pro",
    "outputs": [],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "hasNsfwContents": [],
    "status": "created",
    "createdAt": "2026-01-01T12:00:00Z",
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  },
  "message": "success",
  "code": 200
}
```

**Example Response — poll (completed)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "kling-video-o1-pro",
    "outputs": [
      "https://oss-us.gptproto.com/example/output.mp4"
    ],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "status": "completed",
    "error": null,
    "executionTime": 12345,
    "timings": {
      "inference": 12000
    },
    "has_nsfw_contents": [],
    "created_at": "2026-01-01T12:00:00Z"
  },
  "message": "success",
  "code": 200
}
```

### Status Values

- `created` — Task accepted. Use `data.id` as `result_id` for polling.
- `running` — Generation is in progress. Keep polling.
- `completed` — Finished successfully. Generated files are in `data.outputs`.
- `failed` — Generation failed. Read `data.error` for the reason.

## Usage Examples

### 1. Submit a request

```bash
curl --request POST "https://gptproto.com/api/v3/kling/kling-video-o1-pro/image-to-video" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
    "image": "https://oss.gptproto.com/ai/api7a261ba5-ea1a-4161-9ff4-bbffe807972f.png",
    "last_image": "",
    "duration": 5
  }'
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/kling/kling-video-o1-pro/image-to-video"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}
payload = {
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "image": "https://oss.gptproto.com/ai/api7a261ba5-ea1a-4161-9ff4-bbffe807972f.png",
  "last_image": "",
  "duration": 5
}

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

```typescript
const response = await fetch("https://gptproto.com/api/v3/kling/kling-video-o1-pro/image-to-video", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    prompt: "A tiny origami fox sailing a teacup across a moonlit puddle",
    image: "https://oss.gptproto.com/ai/api7a261ba5-ea1a-4161-9ff4-bbffe807972f.png",
    last_image: "",
    duration: 5,
  }),
});

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

### 2. Poll until the task finishes

Replace `YOUR_RESULT_ID` with `data.id` from the submit response (or call `data.urls.get` directly), and keep polling every 1–3 seconds while `status` is `created` or `running`.

```bash
result_id="YOUR_RESULT_ID"

curl --request GET "https://gptproto.com/api/v3/predictions/$result_id/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY"
```

```python
import os
import requests

result_id = "YOUR_RESULT_ID"
url = f"https://gptproto.com/api/v3/predictions/{result_id}/result"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}"
}
response = requests.request("GET", url, headers=headers)
print(response.json())
```

```typescript
const result_id = "YOUR_RESULT_ID";
const response = await fetch(`https://gptproto.com/api/v3/predictions/${result_id}/result`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
  },
});

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

## Example Prompts

- The fox is dancing passionately.
- A high-fashion editorial of a model in dramatic lighting, wind blowing through the hair, strong shadows, glossy fabric with rich textures, luxury magazine style. The hair moving with the wind, the fabric shifting slowly, and subtle changes in highlights across the model’s face. A…
- Shimmering light gliding across the jar surface, water droplets moving slightly, and a slow cinematic orbit of the camera. Add soft glow pulses to emphasize luxury. Maintain a clean, premium commercial aesthetic.

## 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 playground](https://gptproto.com/model/kling/kling-video-o1-pro/image-to-video)
- [API documentation](https://docs.gptproto.com/docs/allapi/Kling/kling-video-o1-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`