# Kling Image · O3 · Text to Image API

> O3 text-to-image sa 1K, 2K o 4K, na may element-based face control at series output

Gumagawa ng mga larawan mula sa prompt na hanggang 2500 character. Ang `resolution` ay 1K, 2K o 4K, at sinusuportahan ng `aspect_ratio` ang 16:9, 9:16, 1:1, 4:3, 3:4, 3:2, 2:3 at 21:9. Gumawa ng 1-9 larawan, o series ng 2-9 magkakaugnay na larawan gamit ang `result_type`. Nagbibigay ang `elements` ng face control para sa mga character at object.

- Model id: `kling-image/o3/text-to-image`
- Made by: Kling
- Category: Text to Image
- Output: image
- Price: from $0.028 / image (cheapest run $0.028 (28 API credits))
- Run: `POST https://api.doitong.ru/v1/run/kling-image/o3/text-to-image`
- Quote: `POST https://api.doitong.ru/v1/quote/kling-image/o3/text-to-image`
- Docs page: https://doitong.com/fil/developers/models/kling-image/o3/text-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.ru/v1/quote/kling-image/o3/text-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 | Prompt para sa pagbuo ng larawan na may limitasyong 2500 character. |
| `elements` |  | array of object {frontal_image_url, reference_image_urls} \| null | no |  |  | Opsyonal na face-control element na kumakatawan sa mga character o object, na tinutukoy sa prompt gamit ang @Element1, @Element2, at iba pa. |
| `elements[].frontal_image_url` |  | string (image URL) \| null | no |  |  | Opsyonal na larawan na nakaharap sa harap na nagbibigay ng pangunahing view ng element. Hindi maaaring lumampas sa 10.0 MB ang file; dapat hindi bababa sa 300px ang lapad at taas nito, na may aspect ratio mula 0.40 hanggang 2.50. |
| `elements[].reference_image_urls` |  | array of image URL \| null | no |  |  | Opsyonal na set ng 0–3 karagdagang larawan na nagpapakita ng ibang anggulo. Hindi dapat lumampas sa 10.0 MB ang bawat file, at dapat hindi bababa sa 300px ang lapad at taas nito, na may aspect ratio mula 0.40 hanggang 2.50. |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K`, `4K` | Resolution ng output na larawan: 1K para sa standard, 2K para sa high, o 4K para sa ultra-high resolution. |
| `result_type` |  | enum (string) | no | `single` | `single`, `series` | Uri ng output: ang `single` ay gumagawa ng isang larawan, habang ang `series` ay gumagawa ng maraming magkakaugnay na larawan. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 9 | Bilang ng output na larawan, mula 1 hanggang 9; nalalapat lamang kung `result_type` ay `single`. |
| `series_amount` |  | integer \| null | no |  | 2 – 9 | Bilang ng mga larawan sa series, mula 2 hanggang 9; nalalapat lamang kung `result_type` ay `series`. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1`, `4:3`, `3:4`, `3:2`, `2:3`, `21:9` | Ratio ng lapad sa taas para sa mga nabuong larawan. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | File format ng resultang larawan. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Maaaring luwagan ang screening sa pamamagitan ng pagtatakda ng false, kung awtorisado ang tumatawag. |

## 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-image/o3/text-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"
  }'

# 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-image/o3/text-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"
  }),
});
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-image/o3/text-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.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-image/o3/text-to-image",
      "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-image/o3/text-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"
  },
  "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Mga larawang ginawa ng modelo. |

## Related models

- [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
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image

## Links

- HTML page: https://doitong.com/developers/models/kling-image/o3/text-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/text-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kling-image/o3/text-to-image