# Kling 3.0 Pro Image to Video API

> Menganimasikan imej pegun menjadi klip 3 hingga 15 saat dengan bunyi natif, bingkai akhir pilihan dan prompt berbilang syot.

Model imej-ke-video unggulan Kling mengekalkan subjek imej mula sambil menambah gerakan semula jadi, pergerakan kamera dan, secara lalai, bunyi serta pertuturan yang sepadan. Berikan imej akhir untuk mengawal tempat syot berakhir, pecahkan satu penjanaan kepada beberapa syot dengan prompt setiap syot, atau tetapkan watak dan objek berulang dengan elemen rujukan. Bentuk bingkai mengikut imej mula.

- Model id: `kling-video/v3/pro/image-to-video`
- Made by: Kling
- Category: Image to Video
- Output: video
- Price: from $0.112 / second (5 s ≈ $0.56) (cheapest run $0.56 (560 API credits))
- Run: `POST https://api.doitong.ru/v1/run/kling-video/v3/pro/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/kling-video/v3/pro/image-to-video`
- Docs page: https://doitong.com/ms/developers/models/kling-video/v3/pro/image-to-video

## Pricing

Price: **from $0.112 / second (5 s ≈ $0.56)** (the lowest tier; the quote prices your exact input). Billed per second of output (`duration`, default 5).

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `generate_audio` = true and `elements` is set: $0.196 (196 API credits) / second
- When `generate_audio` = true: $0.168 (168 API credits) / second

The full example input below costs $0.84 = 840 API credits (5 s × 168 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/kling-video/v3/pro/image-to-video` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string \| null | no |  | ≤ 2500 characters | Arahan teks yang digunakan untuk menjana video. Bekalkan tepat satu daripada prompt atau multi_prompt. |
| `multi_prompt` |  | array of object {prompt, duration} \| null | no |  |  | Senarai prompt yang membahagikan video kepada beberapa syot apabila dibekalkan. |
| `multi_prompt[].prompt` |  | string | yes |  |  | Arahan teks untuk syot semasa. |
| `multi_prompt[].duration` |  | enum (string) | no | `5` | `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | Panjang syot semasa, diukur dalam saat. |
| `start_image_url` | `image` | string (image URL) | yes |  |  | URL yang merujuk kepada imej yang digunakan untuk penjanaan video. Saiz fail mestilah tidak melebihi 50 MB; lebar dan tinggi mestilah sekurang-kurangnya 300px setiap satu, dengan nisbah aspek antara 0.40 dan 2.50. |
| `duration` |  | enum (string) | no | `5` | `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | Panjang video output, diukur dalam saat. |
| `generate_audio` |  | boolean | no | `true` |  | Suis penjanaan audio video asli, yang menyokong suara dalam bahasa Cina atau Inggeris dan menterjemah bahasa lain kepada bahasa Inggeris secara automatik. Untuk pertuturan Inggeris, tulis akronim dan nama khas dalam huruf besar serta semua yang lain dalam huruf kecil. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | URL yang merujuk kepada imej yang digunakan di penghujung video. Saiz fail mestilah tidak melebihi 50 MB; lebar dan tinggi mestilah sekurang-kurangnya 300px setiap satu. |
| `elements` |  | array of object {frontal_image_url, reference_image_urls, video_url, voice_id} \| null | no |  |  | Watak atau objek yang disertakan sebagai elemen video, dirujuk dalam prompt menggunakan @Element1, @Element2 dan seterusnya. Bagi setiap contoh, bekalkan sama ada video atau set yang mengandungi imej hadapan bersama imej rujukan. |
| `elements[].frontal_image_url` |  | string (image URL) \| null | no |  |  | Imej menghadap hadapan yang menunjukkan paparan utama elemen. Saiz fail mestilah tidak melebihi 50 MB; lebar dan tinggi mestilah sekurang-kurangnya 300px setiap satu, dengan nisbah aspek antara 0.40 dan 2.50. |
| `elements[].reference_image_urls` |  | array of image URL \| null | no |  |  | Bekalkan 1–3 imej rujukan tambahan yang menunjukkan sudut berbeza. Setiap imej mesti mempunyai nisbah aspek antara 0.40 dan 2.50, berukuran sekurang-kurangnya 300px pada kedua-dua dimensi, dan tidak melebihi 50.0MB. |
| `elements[].video_url` |  | string (video URL) \| null | no |  |  | URL yang merujuk kepada video elemen; hanya satu elemen bagi setiap permintaan boleh menyertakan video. Fail mestilah tidak melebihi 200 MB, dengan lebar dan tinggi masing-masing antara 720px dan 2160px. Tempoh mestilah antara 3 saat dan 10.05 saat, dan FPS antara 24.0 dan 60.0. |
| `elements[].voice_id` |  | string \| null | no |  |  | Voice ID yang diberikan kepada elemen. Rujukan kepada elemen itu menggunakan suara yang diberikan kepadanya. |
| `shot_type` |  | enum (string) | no | `customize` | `customize`, `intelligent` | Pilih cara penjanaan berbilang syot merancang syotnya; memilih 'intelligent' menyerahkan struktur syot kepada model. |
| `negative_prompt` |  | string | no | `blur, distort, and low quality` | ≤ 2500 characters |  |
| `cfg_scale` |  | number | no | `0.5` | 0 – 1 | Tetapkan sejauh mana penjanaan mengikut prompt anda menggunakan CFG, singkatan bagi Classifier Free Guidance. |

File parameters (`image`, `end_image`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png"
}
```

A fuller example:

```json
{
  "prompt": "The banana manager turns to the camera, smiles and waves while coworkers keep typing, gentle handheld camera",
  "image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
  "duration": 5
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/kling-video/v3/pro/image-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "The banana manager turns to the camera, smiles and waves while coworkers keep typing, gentle handheld camera",
    "image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
    "duration": 5
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/kling-video/v3/pro/image-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "The banana manager turns to the camera, smiles and waves while coworkers keep typing, gentle handheld camera",
    "image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
    "duration": 5
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "The banana manager turns to the camera, smiles and waves while coworkers keep typing, gentle handheld camera",
    "image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
    "duration": 5,
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/v3/pro/image-to-video", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "kling-video/v3/pro/image-to-video",
      "input": {
        "prompt": "The banana manager turns to the camera, smiles and waves while coworkers keep typing, gentle handheld camera",
        "image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
        "duration": 5
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "kling-video/v3/pro/image-to-video",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 840,
    "usd": "0.84",
    "charged": 840,
    "refunded": 0
  },
  "input": {
    "prompt": "The banana manager turns to the camera, smiles and waves while coworkers keep typing, gentle handheld camera",
    "image": "https://content.doitong.com/images/gp/image_20260610003801_541d9719_316882.png",
    "duration": 5
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | Video yang dihasilkan oleh model. |

## Related models

- [Kling 3.0 Pro Text to Video](https://doitong.com/developers/models/kling-video/v3/pro/text-to-video.md) (`kling-video/v3/pro/text-to-video`): from $0.112 / second
- [Kling Video V3 Text to Video 4K](https://doitong.com/developers/models/kling-video/v3/4k/text-to-video.md) (`kling-video/v3/4k/text-to-video`): $0.42 / second
- [Kling Video v3 Text to Video \[Standard\]](https://doitong.com/developers/models/kling-video/v3/standard/text-to-video.md) (`kling-video/v3/standard/text-to-video`): from $0.084 / second
- [Kling Video v3 Image to Video \[Standard\]](https://doitong.com/developers/models/kling-video/v3/standard/image-to-video.md) (`kling-video/v3/standard/image-to-video`): from $0.084 / second
- [Kling Video · v3 · 4k · Image to Video](https://doitong.com/developers/models/kling-video/v3/4k/image-to-video.md) (`kling-video/v3/4k/image-to-video`): $0.42 / second
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second

## Links

- HTML page: https://doitong.com/developers/models/kling-video/v3/pro/image-to-video
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=kling-video/v3/pro/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kling-video/v3/pro/image-to-video