# Kling Image · O3 · Image to Image API

> 10 تک حوالہ تصاویر سے O3 تصویر تدوین، 1K-4K آؤٹ پٹ اور سلسلہ موڈ کے ساتھ

پرامپٹ میں @Image1، @Image2 وغیرہ کے طور پر حوالہ دی گئی `image_urls` (زیادہ سے زیادہ 10) کو تبدیل یا یکجا کرتا ہے۔ `resolution` 1K، 2K یا 4K ہے، اور `aspect_ratio` میں auto کے علاوہ 21:9 تک آٹھ مقررہ نسبتیں شامل ہیں۔ `num_images` سے 1-9 الگ تصاویر، یا `result_type` series اور `series_amount` سے 2-9 متعلقہ تصاویر کا مجموعہ بنائیں۔ آؤٹ پٹ jpeg، png یا webp ہے۔

- Model id: `kling-image/o3/image-to-image`
- Made by: Kling
- Category: Image Editing
- Output: image
- Price: from $0.028 / image (cheapest run $0.028 (28 API credits))
- Run: `POST https://api.doitong.com/v1/run/kling-image/o3/image-to-image`
- Quote: `POST https://api.doitong.com/v1/quote/kling-image/o3/image-to-image`
- Docs page: https://doitong.com/ur/developers/models/kling-image/o3/image-to-image

## Pricing

Price: **from $0.028 / image** (the lowest tier; the quote prices your exact input). Billed per generated image (`num_images`, default 1).

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

- When `resolution` = 4K: $0.056 (56 API credits) / image

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/o3/image-to-image` 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 | تصویر تخلیق کرنے کا پرامپٹ، 2500 حروف تک محدود۔ تصاویر کو @Image1، @Image2 وغیرہ، یا ایک تصویر کے لیے @Image کے ذریعے refer کریں۔ |
| `image_urls` | `images` | array of image URL | yes |  |  | حوالہ تصاویر کی فہرست، 10 تصاویر تک محدود؛ پرامپٹ میں انہیں @Image1، @Image2 وغیرہ کے طور پر refer کریں، numbering 1 سے شروع کریں۔ ہر فائل زیادہ سے زیادہ 10.0 MB ہو، width اور height کم از کم 300px ہوں، اور aspect ratio 0.40 سے 2.50 تک ہو۔ |
| `elements` |  | array of object {frontal_image_url, reference_image_urls} \| null | no |  |  | اختیاری face-control elements جو characters یا objects کی نمائندگی کرتے ہیں؛ پرامپٹ میں @Element1، @Element2 وغیرہ سے refer کیے جاتے ہیں۔ |
| `elements[].frontal_image_url` |  | string (image URL) \| null | no |  |  | اختیاری front-facing تصویر جو element کا مرکزی view فراہم کرتی ہے۔ فائل کا سائز 10.0 MB سے زیادہ نہیں ہو سکتا؛ width اور height ہر ایک کم از کم 300px، اور aspect ratio 0.40 سے 2.50 تک ہونا چاہیے۔ |
| `elements[].reference_image_urls` |  | array of image URL \| null | no |  |  | دیگر angles دکھانے والی 0–3 اضافی تصاویر کا اختیاری set۔ ہر فائل زیادہ سے زیادہ 10.0 MB ہو، width اور height کم از کم 300px ہوں، اور aspect ratio 0.40 سے 2.50 تک ہو۔ |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K`, `4K` | آؤٹ پٹ تصویر کی ریزولوشن: معیاری ریزولوشن کے لیے 1K، اعلیٰ ریزولوشن کے لیے 2K، یا انتہائی اعلیٰ ریزولوشن کے لیے 4K۔ |
| `result_type` |  | enum (string) | no | `single` | `single`, `series` | آؤٹ پٹ کی قسم: `single` ایک تصویر تخلیق کرتا ہے، جبکہ `series` متعدد متعلقہ تصاویر تخلیق کرتا ہے۔ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 9 | آؤٹ پٹ تصاویر کی تعداد، 1 سے 9 تک؛ صرف اس وقت لاگو ہوتی ہے جب `result_type` `single` ہو۔ |
| `series_amount` |  | integer \| null | no |  | 2 – 9 | سیریز میں تصاویر کی تعداد، 2 سے 9 تک؛ صرف اس وقت لاگو ہوتی ہے جب `result_type` `series` ہو۔ |
| `aspect_ratio` |  | enum (string) | no | `auto` | `16:9`, `9:16`, `1:1`, `4:3`, `3:4`, `3:2`, `2:3`, `21:9`, `auto` | تخلیق کردہ تصویر کا aspect ratio، 'auto' پر set ہونے کی صورت میں ان پٹ مواد سے خودکار طور پر منتخب کیا جاتا ہے۔ |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | نتیجہ خیز تصویر کا فائل فارمیٹ۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | false سیٹ کر کے اسکریننگ نرم کی جا سکتی ہے، بشرطیکہ کال کرنے والا مجاز ہو۔ |

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/o3/image-to-image?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/o3/image-to-image?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/o3/image-to-image", 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/o3/image-to-image",
      "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/o3/image-to-image",
  "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} | ماڈل کی تیار کردہ تصاویر۔ |

## Related models

- [Kling Image · O3 · Text to Image](https://doitong.com/developers/models/kling-image/o3/text-to-image.md) (`kling-image/o3/text-to-image`): from $0.028 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [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 · 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/o3/image-to-image
- 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/o3/image-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/kling-image/o3/image-to-image