# Kling O1 Reference Image to Video [Standard] API

> Referenzbasiertes Video im Standard-Tarif, das Figuren und Objekte über die Aufnahme hinweg konsistent hält

Erstellt ein Video aus einem Prompt zusammen mit Referenzbildern (`image_urls`) und Elementen (`elements`), auf die im Prompt mit @Image1 oder @Element1 verwiesen wird. Insgesamt sind bis zu 7 Referenzen zulässig. `duration` liegt zwischen 3 und 10 Sekunden, und `aspect_ratio` kann 16:9, 9:16 oder 1:1 sein. Dies ist die Standard-Version.

- Model id: `kling-video/o1/standard/reference-to-video`
- Made by: Kling
- Category: Reference to Video
- Output: video
- Price: $0.084 / second (5 s ≈ $0.42) (cheapest run $0.42 (420 API credits))
- Run: `POST https://api.doitong.ru/v1/run/kling-video/o1/standard/reference-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/kling-video/o1/standard/reference-to-video`
- Docs page: https://doitong.com/de/developers/models/kling-video/o1/standard/reference-to-video

## Pricing

Price: **$0.084 / second (5 s ≈ $0.42)**. Billed per second of output (`duration`, default 10).

The full example input below costs $0.42 = 420 API credits (5 s × 84 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/o1/standard/reference-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 |
|---|---|---|---|---|---|---|
| `enable_safety_checker` |  | boolean | no | `true` |  | Sicherheitsprüfungen können nur mit einer Kontoberechtigung deaktiviert werden; Anfragen ohne Berechtigung werden immer geprüft. |
| `prompt` |  | string | yes |  | ≤ 2500 characters | Geordnete Referenzen verwenden @Element1, @Element2 usw. für Elemente sowie @Image1, @Image2 usw. für Bilder. |
| `image_urls` | `images` | array of image URL \| null | no |  |  | Zusätzliche Bilder als Stil- oder Erscheinungsreferenzen, die im Prompt mit @Image1, @Image2 usw. angesprochen werden. Elemente, Referenzbilder und das Startbild dürfen zusammen höchstens 7 Einträge umfassen. Jede Datei ist auf 50 MB begrenzt; Breite und Höhe müssen jeweils mindestens 300 px betragen und das Seitenverhältnis muss zwischen 0.40 und 2.50 liegen. |
| `elements` |  | array of object {frontal_image_url, reference_image_urls} \| null | no |  |  | Figuren oder Objekte, die im Video erscheinen sollen und im Prompt mit @Element1, @Element2 usw. angesprochen werden. Elemente, Referenzbilder und das Startbild dürfen zusammen höchstens 7 Einträge umfassen. |
| `elements[].frontal_image_url` |  | string (image URL) | yes |  |  | Frontalbild mit der Hauptansicht des Elements, begrenzt auf 50 MB. Breite und Höhe müssen jeweils mindestens 300 px betragen, das Seitenverhältnis muss zwischen 0.40 und 2.50 liegen. Das Timeout beträgt 20 Sekunden. |
| `elements[].reference_image_urls` |  | array of image URL | no |  |  | Stelle 1–3 zusätzliche Referenzbilder aus verschiedenen Winkeln bereit. Jedes Bild muss ein Seitenverhältnis zwischen 0.40 und 2.50 haben, in beiden Abmessungen mindestens 300px messen und höchstens 50.0MB groß sein. |
| `duration` |  | enum (string) | no | `5` | `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10` | Videolänge in Sekunden. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Verhältnis von Breite zu Höhe der Frames im generierten Video. |

File parameters (`images`) 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
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/o1/standard/reference-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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/o1/standard/reference-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-video/o1/standard/reference-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/o1/standard/reference-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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/o1/standard/reference-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": 420,
    "usd": "0.42",
    "charged": 420,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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} | Vom Modell erzeugtes Video. |

## Related models

- [Kling O1 First Frame Last Frame to Video \[Pro\]](https://doitong.com/developers/models/kling-video/o1/image-to-video.md) (`kling-video/o1/image-to-video`): $0.112 / second
- [Kling O1 First Frame Last Frame to Video \[Standard\]](https://doitong.com/developers/models/kling-video/o1/standard/image-to-video.md) (`kling-video/o1/standard/image-to-video`): $0.084 / second
- [Kling O1 Reference Image to Video \[Pro\]](https://doitong.com/developers/models/kling-video/o1/reference-to-video.md) (`kling-video/o1/reference-to-video`): $0.112 / second
- [Kling O1 Edit Video \[Pro\]](https://doitong.com/developers/models/kling-video/o1/video-to-video/edit.md) (`kling-video/o1/video-to-video/edit`): $0.168 / second of input video
- [Kling O1 Edit Video \[Standard\]](https://doitong.com/developers/models/kling-video/o1/standard/video-to-video/edit.md) (`kling-video/o1/standard/video-to-video/edit`): $0.126 / second of input video
- [Kling O1 Reference Video to Video \[Pro\]](https://doitong.com/developers/models/kling-video/o1/video-to-video/reference.md) (`kling-video/o1/video-to-video/reference`): $0.168 / second
- [Kling O1 Reference Video to Video \[Standard\]](https://doitong.com/developers/models/kling-video/o1/standard/video-to-video/reference.md) (`kling-video/o1/standard/video-to-video/reference`): $0.126 / second
- [Seedance 2.0 Fast Reference to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/reference-to-video.md) (`bytedance/seedance-2.0/fast/reference-to-video`): from $0.113 / second

## Links

- HTML page: https://doitong.com/developers/models/kling-video/o1/standard/reference-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/o1/standard/reference-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kling-video/o1/standard/reference-to-video