# Kling 3.0 Pro Image to Video API

> Animē nekustīgu attēlu 3 līdz 15 sekunžu klipā ar sākotnējo skaņu, neobligātu beigu kadru un vairāku kadru uzvednēm.

Kling vadošais attēla pārveides video modelis saglabā sākuma attēla objektu stabilu, vienlaikus pievienojot dabiskas kustības, kameras kustības un pēc noklusējuma atbilstošu skaņu un runu. Norādiet beigu attēlu, lai kontrolētu, kur kadrs beidzas, sadaliet vienu ģenerēšanu vairākos kadros ar katram kadram paredzētām uzvednēm vai piesaistiet atkārtotus tēlus un objektus ar atsauces elementiem. Kadra forma seko sākuma attēlam.

- 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/lv/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 | Teksta norādījumi video ģenerēšanai. Norādiet tieši vienu no `prompt` vai `multi_prompt`. |
| `multi_prompt` |  | array of object {prompt, duration} \| null | no |  |  | Uzvedņu saraksts, kas, ja norādīts, sadala video vairākos kadrējumos. |
| `multi_prompt[].prompt` |  | string | yes |  |  | Teksta norādījumi pašreizējam kadrējumam. |
| `multi_prompt[].duration` |  | enum (string) | no | `5` | `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | Pašreizējā kadrējuma ilgums sekundēs. |
| `start_image_url` | `image` | string (image URL) | yes |  |  | URL, kas norāda uz video ģenerēšanai izmantoto attēlu. Faila lielums nedrīkst pārsniegt 50 MB; platumam un augstumam jābūt vismaz 300px, bet malu attiecībai — no 0.40 līdz 2.50. |
| `duration` |  | enum (string) | no | `5` | `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`, `11`, `12`, `13`, `14`, `15` | Izvades video ilgums sekundēs. |
| `generate_audio` |  | boolean | no | `true` |  | Dabiskā video audio ģenerēšanas pārslēgs, kas atbalsta ķīniešu vai angļu balsis un automātiski pārtulko citas valodas angļu valodā. Angļu runai akronīmus un īpašvārdus rakstiet ar lielajiem burtiem, bet pārējo — ar mazajiem. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | URL, kas norāda uz video beigās izmantoto attēlu. Faila lielums nedrīkst pārsniegt 50 MB; platumam un augstumam jābūt vismaz 300px, bet malu attiecībai — no 0.40 līdz 2.50. |
| `elements` |  | array of object {frontal_image_url, reference_image_urls, video_url, voice_id} \| null | no |  |  | Video elementos iekļautie tēli vai objekti, uz kuriem uzvednē atsaucas ar @Element1, @Element2 utt. Katram piemēram norādiet vai nu video, vai kopu ar priekšskata attēlu un atsauces attēliem. |
| `elements[].frontal_image_url` |  | string (image URL) \| null | no |  |  | Priekšskata attēls, kas rāda elementa galveno skatu. Faila lielums nedrīkst pārsniegt 50 MB; platumam un augstumam jābūt vismaz 300px, bet malu attiecībai — no 0.40 līdz 2.50. |
| `elements[].reference_image_urls` |  | array of image URL \| null | no |  |  | Norādiet 1–3 papildu atsauces attēlus no dažādiem leņķiem. Katra attēla malu attiecībai jābūt no 0.40 līdz 2.50, abiem izmēriem vismaz 300px, bet lielumam — ne vairāk kā 50.0MB. |
| `elements[].video_url` |  | string (video URL) \| null | no |  |  | URL, kas norāda uz elementa video; tikai vienam elementam pieprasījumā drīkst būt video. Faila lielums nedrīkst pārsniegt 200 MB, platumam un augstumam jābūt no 720px līdz 2160px. Ilgumam jābūt no 3 līdz 10.05 sekundēm, bet FPS — no 24.0 līdz 60.0. |
| `elements[].voice_id` |  | string \| null | no |  |  | Elementam piešķirtais Voice ID. Atsauces uz šo elementu izmanto tam piešķirto balsi. |
| `shot_type` |  | enum (string) | no | `customize` | `customize`, `intelligent` | Izvēlieties, kā vairāku kadru ģenerēšana plāno kadrējumus; izvēloties 'intelligent', kadrējumu struktūras izveide tiek uzticēta modelim. |
| `negative_prompt` |  | string | no | `blur, distort, and low quality` | ≤ 2500 characters |  |
| `cfg_scale` |  | number | no | `0.5` | 0 – 1 | Iestatiet, cik cieši ģenerēšana seko jūsu uzvednei, izmantojot CFG jeb 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} | Modeļa ģenerētais video. |

## 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