# Image2Pixel API

> קאָנווערטירט בילדער צו ריין פּיקסעל־קונסט מיט פּאַלעט־לימיטן, סקייל־דעטעקציע און אָפּציאָנעלן דורכזיכטיקן הינטערגרונט

מאַכט פֿון אַן אַרײַנגעגעבענעם בילד פּיקסעל־קונסט און גיט דאָס פּראָסעסירטע בילד פּלוס אַ געסקיילטע ווערסיע ווי PNG־טעקעס צוריק. מע קען באַגרענעצן די פּאַלעט מיט `max_colors` (1 ביז 256), צושטעלן אַ `fixed_palette` פֿון hex־קאָלירן, אָדער צווינגען אַ `scale` פֿון 1 ביז 64. עס זײַנען בנימצא עטלעכע אַראָפּסקייל־מעטאָדן, רייניקונג־אָפּציעס און הינטערגרונט־באַזײַטיקונג־מאָדעס. דער ענטפֿער מעלדט אויך די צאָל קאָלירן, די פּאַלעט און דעם דעטעקטירטן פּיקסעל־סקייל.

- 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.com/v1/run/image2pixel`
- Quote: `POST https://api.doitong.com/v1/quote/image2pixel`
- Docs page: https://doitong.com/yi/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.com/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 |  |  | מקור־בילד URL פֿאַר קאָנווערטירן אין פֿאַרבעסערטע פּיקסעל־קונסט. |
| `max_colors` |  | integer \| null | no | `32` | 1 – 256 | מאַקסימום צאָל קאָלירן אין רעזולטאַט־פּאַלעט; None ערלויבט אַן אומבאַגרענעצטע צאָל קאָלירן. |
| `auto_color_detect` |  | boolean | no | `false` |  | אַקטיוויזירט אָטאָמאַטישע אויסקלײַב פון דער אָפּטימאַלער קאָליר־צאָל. |
| `fixed_palette` |  | array of string \| null | no |  |  | אָפּציאָנעלע פֿאר־דעפֿינירטע פּאַלעט ספּעציפיצירט מיט העקס־סטרינגס, ווי ['#000000', '#ffffff']. |
| `detect_method` |  | enum (string) | no | `auto` | `auto`, `runs`, `edge` | מעטאָד גענוצט צו דעטעקטירן די סקאַלע. |
| `scale` |  | integer \| null | no |  | 1 – 64 | פּיקסעל־סקאַלע צו דורכפירן; None אַקטיוויזירט אָטאָמאַטישע דעטעקציע. |
| `downscale_method` |  | enum (string) | no | `dominant` | `dominant`, `median`, `mode`, `mean`, `content-adaptive` | מעטאָד גענוצט צו אַראָפּלאָזן צו פּיקסעל־קונסט. |
| `trim_borders` |  | boolean | no | `false` |  | קאָנטראָלירט אָפּשנײַדן פון בילד־ראַנדז. |
| `transparent_background` |  | boolean | no | `false` |  | הינטערגרונט־אַראָפּנעמונג דורך דורכזיכטיקייט: ווען בילד־קאָרעקציע ענדיקט זיך, ווערן פֿאַרב־רעגיאָנען וואָס רירן זיך אָן אין אַ בילד־ראַנד דורכזיכטיק. |
| `cleanup_morph` |  | boolean | no | `false` |  | רעש־אַראָפּנעמונג מיט מאָרפֿאָלאָגישע אָפּעראַציעס. |
| `cleanup_jaggy` |  | boolean | no | `false` |  | רייניקונג פון צאַקריקע ראַנדז דורך אַראָפּנעמען איינזאַמע דיאַגאָנאַלע פּיקסעלן. |
| `snap_grid` |  | boolean | no | `true` |  | פּאַסט דעם רעזולטאַט צו דער פּיקסעל־גריד. |
| `alpha_threshold` |  | integer | no | `128` | 0 – 255 | שוועל פֿאַר בײַנעריזירן אַלפֿאַ, פֿון 0 ביז 255. |
| `dominant_color_threshold` |  | number | no | `0.05` | 0 – 1 | שוועל פֿאַר דאָמינאַנטע קאָלירן, פֿון 0.0 ביז 1.0. |
| `background_tolerance` |  | integer | no | `0` | 0 – 255 | טאָלעראַנץ פֿאַרן הינטערגרונט, פֿון 0 ביז 255. |
| `background_mode` |  | enum (string) | no | `corners` | `edges`, `corners`, `midpoints` | אָנהייב־לאָקאַציעס פֿאַר flood-fill בעת הינטערגרונט־אַראָפּנעמונג. |

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.com/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.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/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.com/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.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": "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `pixel_scale` | integer | פּיקסעל־סקאַלע דעטעקטירט אין דער אַרײַנגעבונג. |
| `palette` | array of string | קאָליר־פּאַלעט פון דער באַאַרבעטער מעדיע. |
| `num_colors` | integer | קאָליר־צאָל פֿאַר דער באַאַרבעטער מעדיע. |
| `images` | array of object {url, content_type, file_name, file_size, width, height} | באַאַרבעטע פּיקסעל־קונסט און געשקיילטע בילדער, ביידע אין PNG־פֿאָרמאַט. |

## 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.com/v1/models/image2pixel