# Image2Pixel API

> ᠪᡠᡵᡤᡝᠨ ᠪᡝ ᠵᠠᠯᡤᠠᠨ ᡩᠠᠮᡠᠯᠠᠮᠪᡳ᠂ ᠵᠠᠯᡤᠠᠨ ᠰᡳᠯᡤᠠᠨ ᠮᡠᠯᡤᡝᠨ ᠵᠠᠪᡠᠯᡠᠨ ᠪᡠᠵᡠ ᡤᠠᠮᡤᠠᠨ ᡩᡝ ᠠᠮᠠᠯᡤᠠ ᡤᡝᠯᡳᠨ ᠪᡳ

ᡳᠯᡤᠠᠨ ᡳᠮᠠᡤᡝ ᠪᡝ ᠫᡳᡴᠰᡝᠯ ᠠᡵᡨ ᡳᠨᡠ ᠠᠮᠪᠠᠨ ᡩᡝ ᠣᠮᠣᠯᠣᠮᠪᡳ᠂ ᡳᠨᡠ ᠵᠠᡥᡡᠨ ᡳᠮᠠᡤᡝ ᡥᡡᠯᠠᡵᠠᠨ ᠠᠮᠪᠠᠨ ᠵᠠᠯᡳᠨ ᠵᡠᠯᡤᡝ ᠵᡠᠸᠠᠨ ᠵᡳᠨᡤᡳᠮᠪᡳ᠃ `max_colors` ᠵᡝᠮᡝ 1 ᡩᡝᠴᡳ 256 ᠴᡝᠴᡝᠨ ᡩᡝ ᠵᠠᡵᡤᠠᠨ ᠴᡳᠨᠠᠮᠪᡳ᠂ `fixed_palette` ᡩᡝ ᡥᡝᡴᠰ ᠵᠠᠯᡳᠨ ᠵᡠᠯᡤᡝ ᠰᡳᠨᡩᠠᡥᠠ ᡩᡝ᠂ ᠵᡝᠮᡝ `scale` ᠪᡝ 1 ᡩᡝᠴᡳ 64 ᡩᡝ ᡥᡝᠴᡝᠨ ᠣᠨᡩᠣᠮᠪᡳ᠃ ᠣᠯᡥᠣ ᠮᡝᡨᡥᡝᠨ ᡠᠰᡳᡥᠠᠨ᠂ ᠵᠠᠯᡳᠨ ᠵᡠᠯᡤᡝ ᠵᠠᠰᠠᡤᠠᠨ ᠠᠷᠠᠯᠠᠮᠪᡳ ᡝᠮᡠ ᠵᡝᠮᡝ ᠠᠮᠪᠠᠨ ᠵᠠᠯᡳᠨ ᠪᠠᡵᡤᡳᠶᠠᠨ ᠣᠮᡳᠰᡳᠮᠪᡳ᠃ ᡩᡠᠯᡝᠯᡝᠮᠪᡳ ᠵᠠᠯᡳᠨ ᠵᡠᠯᡤᡝ ᡤᡝᠮᡠᠨᡝᠮᡝ᠂ ᠪᠠᡵᡤᡳᠶᠠᠨ ᠵᡠᠯᡤᡝ ᠪᠠᠨᠵᡳᡥᠠ ᠠᠮᠪᠠᠨ ᠵᠠᠯᡳᠨ ᠪᠠᠨᠵᡳᠮᠪᡳ᠃

- Model id: `image2pixel`
- Made by: Utility
- Category: Image Editing
- Output: image
- Charged by usage (up to $0.153 per run, typical $0.002; the rest of the hold is refunded): $0.00017 / second of processing time (cheapest run $0.002 (2 API credits))
- Run: `POST https://api.doitong.ru/v1/run/image2pixel`
- Quote: `POST https://api.doitong.ru/v1/quote/image2pixel`
- Docs page: https://doitong.com/mnc/developers/models/image2pixel

## Pricing

Price: **$0.00017 / second of processing time**. Charged by actual usage at $0.00017 / second of processing time: up to $0.153 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.002.

The full example input below holds up to $0.153 = 153 API credits (up to 900 s of processing time × $0.00017) when it starts; a typical run costs $0.002 (2 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). This model is charged by usage: `POST https://api.doitong.ru/v1/quote/image2pixel` with the same JSON body returns the most the run can cost for that input (`credits`, debited when the run starts); after the run you pay the usage the model reports and the rest is refunded automatically. An input whose maximum would exceed the per-run limit is refused with 422. 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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | ᠵᠠᠯᠠᠨ ᡳ ᡠᠨᡩᡝ ᠪᡝ ᠵᠠᠰᡠᠮᡝ ᠪᠠᠶᠠ ᡳ ᠵᠠᠯᠠᠨ ᠰᡳᠯᡤᠠᠨ |
| `max_colors` |  | integer \| null | no | `32` | 1 – 256 | ᠪᡠᠶᡝᠮᡝ ᡳ ᠰᡳᠯᡤᠠᠨ ᡳ ᠰᠠᠮᠪᡳᠶᠠᠨ ᡳ ᠠᠮᠪᠠᠨ; None ᠣᠴᡳ ᠰᠠᠮᠪᡳᠶᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠮᡝ ᠠᡵᠠᠮᡝ |
| `auto_color_detect` |  | boolean | no | `false` |  | ᠰᡳᠯᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠮᡝ ᠵᠠᠰᡠᠮᡝ |
| `fixed_palette` |  | array of string \| null | no |  |  | ᠵᠠᠯᠠᠮᡝ ᠠᡵᠠᡥᠠ ᠰᡳᠯᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᡥᡝᠰᡝ ᠵᠠᠯᠠᠮᡝ, ᡝᠮᡠᠴᡳ ['#000000', '#ffffff'] ᠰᡳᠮᡝ |
| `detect_method` |  | enum (string) | no | `auto` | `auto`, `runs`, `edge` | ᠵᠠᠯᠠᠨ ᡳ ᠠᠮᠪᠠᠯᠠᠮᡝ ᠠᡵᠠᡥᠠ ᠠᡵᡤᠠ |
| `scale` |  | integer \| null | no |  | 1 – 64 | ᠵᠠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᠠᠮᠪᠠᠨ; None ᠣᠴᡳ ᠵᠠᠯᠠᠮᡝ ᠠᡵᠠᡮᡳ |
| `downscale_method` |  | enum (string) | no | `dominant` | `dominant`, `median`, `mode`, `mean`, `content-adaptive` | ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠰᡳᠯᡤᠠᠨ ᡩᡝ ᠵᠠᠰᡠᠮᡝ ᠠᡵᠠᡥᠠ ᠠᡵᡤᠠ |
| `trim_borders` |  | boolean | no | `false` |  | ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᠰᡠᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᠵᡠᠯᡝ ᠪᡝ ᠠᠪᡠᠮᡝ |
| `transparent_background` |  | boolean | no | `false` |  | ᠰᡳᠯᡤᠠᠨ ᡳ ᠠᠮᠪᠠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᠪᠠᠶᠠᠨ ᠪᡝ ᡠᠰᡳᠨᠠᠮᡝ ᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ ᡩᡝ ᡝᠮᡠ ᠪᡳᠰᡳᡵᡝ ᠰᡳᠯᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠮᠠᡵᠠᠮᡝ |
| `cleanup_morph` |  | boolean | no | `false` |  | ᠰᡳᠯᡤᠠᠨ ᡳ ᡩᠠᠯᠵᡳᠨ ᡳ ᠠᡵᡤᠠᠨ ᡩᡝ ᠠᠪᡠᠮᡝ |
| `cleanup_jaggy` |  | boolean | no | `false` |  | ᠵᠠᠯᠠᠨ ᡳ ᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠰᡠᠮᡝ ᠵᠠᠯᠠᠨ ᠰᡳᠯᡤᠠᠨ ᡳ ᠮᡠᠨᡩᡝ ᠪᡝ ᠠᠪᡠᠮᡝ |
| `snap_grid` |  | boolean | no | `true` |  | ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠵᠠᠯᠠᠨ ᡳ ᠵᡝᡵᡤᡳ ᡩᡝ ᠵᠠᠯᠠᠮᡝ |
| `alpha_threshold` |  | integer | no | `128` | 0 – 255 | ᠠᠯᡶᠠ ᠪᡝ ᠵᠠᠯᠠᠮᡝ 0 ᡩᡝ 255 |
| `dominant_color_threshold` |  | number | no | `0.05` | 0 – 1 | ᠠᠮᠪᠠ ᠰᡳᠯᡤᠠᠨ ᡳ ᠠᠮᠪᠠᠨ 0.0 ᡩᡝ 1.0 |
| `background_tolerance` |  | integer | no | `0` | 0 – 255 | ᠪᠠᠶᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ 0 ᡩᡝ 255 |
| `background_mode` |  | enum (string) | no | `corners` | `edges`, `corners`, `midpoints` | ᠪᠠᠶᠠᠨ ᡳ ᠠᠮᠪᠠᠯᠠᠮᡝ ᠠᠮᠪᠠ ᠪᡝ ᠡᡵᡤᡳᠯᡝᠮᡝ |

File parameters (`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/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "image_url": "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.ru/v1/run/image2pixel?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "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.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/image2pixel?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image_url": "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/image2pixel", 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": "image2pixel",
      "input": {
        "image_url": "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": "image2pixel",
  "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": 153,
    "usd": "0.153",
    "charged": 153,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "pixel_scale": 21,
    "palette": [
      "string"
    ],
    "num_colors": 10,
    "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 |
|---|---|---|
| `pixel_scale` | integer | ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᡳ ᠠᠮᠪᠠᠨ |
| `palette` | array of string | ᠠᠮᠪᠠᠯᠠᠮᡝ ᠮᡠᠨᡩᡝ ᡳ ᠰᡳᠯᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ |
| `num_colors` | integer | ᠠᠮᠪᠠᠯᠠᠮᡝ ᠮᡠᠨᡩᡝ ᡳ ᠰᡳᠯᡤᠠᠨ ᡳ ᠰᠠᠮᠪᡳᠶᠠᠨ |
| `images` | array of object {url, content_type, file_name, file_size, width, height} | ᠠᠮᠪᠠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨ ᠰᡳᠯᡤᠠᠨ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝᠮᡝ, PNG ᡶᡳᠯᡝ |

## Related models

- [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
- [Age Modify](https://doitong.com/developers/models/image-apps-v2/age-modify.md) (`image-apps-v2/age-modify`): $0.04 / image
- [Cartoonify](https://doitong.com/developers/models/cartoonify.md) (`cartoonify`): $0.10 / image

## Links

- HTML page: https://doitong.com/developers/models/image2pixel
- 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=image2pixel
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/image2pixel