# Kling O1 Image API

> Referentiegestuurde afbeeldingsbewerking met maximaal 10 afbeeldingen, @Image-tags en elementen, 1K of 2K en maximaal 9 uitvoerresultaten

Bewerkt of combineert afbeeldingen op basis van een `prompt` van maximaal 2500 tekens. Verwijs naar invoer met @Image1, @Image2 enzovoort en gebruik maximaal 10 items in `image_urls`; `elements` voegen personages of objecten toe, met een gecombineerd maximum van 10. `resolution` is 1K of 2K, `num_images` is 1 tot 9 en `aspect_ratio` omvat auto, 21:9 en 3:2. De uitvoer is png, jpeg of webp.

- Model id: `kling-image/o1`
- Made by: Kling
- Category: Image Editing
- Output: image
- Price: $0.028 / image (cheapest run $0.028 (28 API credits))
- Run: `POST https://api.doitong.com/v1/run/kling-image/o1`
- Quote: `POST https://api.doitong.com/v1/quote/kling-image/o1`
- Docs page: https://doitong.com/nl/developers/models/kling-image/o1

## Pricing

Price: **$0.028 / image**. Billed per generated image (`num_images`, default 1).

The full example input below costs $0.028 = 28 API credits (1 image × 28 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.com/v1/quote/kling-image/o1` 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 | yes |  | ≤ 2500 characters | Prompt voor afbeeldingsgeneratie, beperkt tot 2500 tekens. Verwijs naar afbeeldingen met @Image1, @Image2 enzovoort, of gebruik @Image voor één afbeelding. |
| `image_urls` | `images` | array of image URL | yes |  |  | Lijst met referentieafbeeldingen, beperkt tot 10 afbeeldingen; verwijs er in de prompt naar als @Image1, @Image2 enzovoort, met nummering vanaf 1. Elk bestand mag niet groter zijn dan 10.0 MB, met een breedte en hoogte van elk minimaal 300px en een beeldverhouding van 0.40 tot 2.50. |
| `elements` |  | array of object {frontal_image_url, reference_image_urls} \| null | no |  |  | Personages of objecten die als elementen zijn opgenomen, met een gecombineerde limiet van 10 met referentieafbeeldingen. Verwijs in de prompt naar elementen met @Element1, @Element2 enzovoort. |
| `elements[].frontal_image_url` |  | string (image URL) \| null | no |  |  | Optionele frontale afbeelding die het hoofdbeeld van het element levert. De bestandsgrootte mag niet groter zijn dan 10.0 MB; de breedte en hoogte moeten elk minimaal 300px zijn, met een beeldverhouding van 0.40 tot 2.50. |
| `elements[].reference_image_urls` |  | array of image URL \| null | no |  |  | Optionele set van 0–3 aanvullende afbeeldingen met andere hoeken. Elk bestand mag niet groter zijn dan 10.0 MB, met een breedte en hoogte van elk minimaal 300px en een beeldverhouding van 0.40 tot 2.50. |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K` | Resolutie van de uitvoerafbeelding: 1K voor standaardresolutie of 2K voor hoge resolutie. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 9 | Aantal uitvoerafbeeldingen, van 1 tot 9. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1`, `4:3`, `3:4`, `3:2`, `2:3`, `21:9` | Beeldverhouding van de gegenereerde afbeelding, automatisch geselecteerd op basis van de invoerinhoud wanneer deze is ingesteld op 'auto'. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Bestandsindeling van de resulterende afbeelding. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Screening kan worden versoepeld door false in te stellen, mits de aanroeper is geautoriseerd. |

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",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_urls": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

## 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.com/v1/run/kling-image/o1?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",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  }'

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

### JavaScript

```javascript
const API = "https://api.doitong.com/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-image/o1?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",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  }),
});
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.com/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",
    "image_urls": [
        "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kling-image/o1", 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.com/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-image/o1",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_urls": [
          "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
        ]
      },
      "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-image/o1",
  "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": 28,
    "usd": "0.028",
    "charged": 28,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200,
        "width": 1024,
        "height": 768
      }
    ]
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Afbeeldingen die door het model zijn geproduceerd. |

## Related models

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- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [Kling Image · O3 · Image to Image](https://doitong.com/developers/models/kling-image/o3/image-to-image.md) (`kling-image/o3/image-to-image`): from $0.028 / image
- [Kling Image · v3 · Image to Image](https://doitong.com/developers/models/kling-image/v3/image-to-image.md) (`kling-image/v3/image-to-image`): $0.028 / image

## Links

- HTML page: https://doitong.com/developers/models/kling-image/o1
- 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-image/o1
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/kling-image/o1