# Z-Image Turbo Seamless Tiling API

> Séiert Text-zu-Bild-Modell fir tilebar Ausgaben, mat horizontalem, vertikalem oder béidsäitegem Tiling an Inpainting

Generéiert Biller, déi sech iwwer d'Kante widderhuelen, kontrolléiert vun `tiling_mode` (both, horizontal oder vertical), `tile_size` an `tile_stride`. Et leeft bis zu 8 Inferenzschrëtt a gëtt 1 bis 4 Biller am png-, jpeg- oder webp-Format zeréck. Mat `image_url` gëtt Bild-zu-Bild aktivéiert; mat `mask_image_url` gëtt Inpainting aktivéiert. `strength` bestëmmt, wéi staark den Input geännert gëtt.

- Model id: `z-image/turbo/tiling`
- Made by: Alibaba
- Category: Text to Image
- Output: image
- Price per megapixel of your output image: $0.02 / megapixel of output image (cheapest run $0.02 (20 API credits))
- Run: `POST https://api.doitong.ru/v1/run/z-image/turbo/tiling`
- Quote: `POST https://api.doitong.ru/v1/quote/z-image/turbo/tiling`
- Docs page: https://doitong.com/lb/developers/models/z-image/turbo/tiling

## Pricing

Price: **$0.02 / megapixel of output image**. Price per megapixel of your output image: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.02 = 20 API credits (1 MP output image × $0.02).

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/z-image/turbo/tiling` 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 |  |  | Prompt, deen d'Bild-Generatioun steiert. |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto` | Dimensioune vum generéierte Bild, woubäi 'auto' 1024x1024 auswielt, ausser wann en Input-Bild geliwwert gëtt; an deem Fall ginn d'Dimensioune vum Input-Bild benotzt. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | Unzuel vun Inferenz-Schrëtt, déi ausgefouert ginn. |
| `seed` |  | integer \| null | no |  |  | Seed fir reproduzéierbar Biller: Dee selwechte Prompt a Seed produzéieren datselwecht Bild, wann d'Modellversioun onverännert ass. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Ugefrote Bildzuel fir d'Generatioun. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Sécherheetskontroll, déi schwaarz Biller amplaz vun all als onsécher markéierte Biller zréckgëtt. true aktivéiert d'Kontroll; false deaktivéiert se nëmme fir autoriséiert Konten, während Ufroen ouni Autorisatioun trotzdeem kontrolléiert ginn. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Dateiformat vum resultéierende Bild. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Beschleunigungsniveau, deen op d'Veraarbechtung applizéiert gëtt. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Steiert, ob d'Prompt-Erweiderung aktivéiert ass. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Bild-URL, déi entweder fir d'Bild-zu-Bild-Generatioun oder d'Inpainting benotzt gëtt. Wann mask_image_url uginn ass, gëtt Inpainting ausgewielt; wann et ewechgelooss gëtt, gëtt d'Bild-zu-Bild-Generatioun ausgewielt. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Inpainting-Masken-URL zesumme mam erfuerderlechen image_url. D'Mask léisst schwaarz Beräicher onverännert a generéiert wäiss Beräicher nei. |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | Transformatiounsstäerkt, déi nëmmen op e Bild iwwer image_url applizéiert gëtt; soss gëtt se net benotzt. |
| `tile_size` |  | integer | no | `128` | 32 – 256 | Tile-Gréisst am latente Raum, wou 64 512px entsprécht, 128 1024px an 256 2048px. D'Dimensioune vum generéierte Bild begrenze automatesch d'Gréisst laanscht déi getilete Achsen; Patchification erfuerdert en evu Wäert, dee duerch 2 deelbar ass. |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | Tile-Schréit am latente Raum, mat de Pixel-Entspriechungen 32 = 256px, 64 = 512px an 128 = 1024px. Nëmme Multiple vun 2 si valabel; all Wäert iwwer d'Hallschent vun der effektiver Tile-Gréisst gëtt automatesch op dës Limit reduzéiert. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Richtung vum Tiling: 'both' deckt all Richtungen of, 'horizontal' nëmme vu lénks no riets, an 'vertical' nëmme vun uewen no ënnen. |

File parameters (`image`, `mask_image_url`) 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"
}
```

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/z-image/turbo/tiling?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/z-image/turbo/tiling?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/z-image/turbo/tiling", 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": "z-image/turbo/tiling",
      "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": "z-image/turbo/tiling",
  "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": 20,
    "usd": "0.02",
    "charged": 20,
    "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
      }
    ],
    "timings": {},
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string"
  },
  "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} | Dateiinformatioun fir déi generéiert Biller. |
| `timings` | object | Zäitinformatioun fir de Generatiounsprozess. |
| `seed` | integer | Seed fir d'Bild-Generatioun, inklusiv dem zoufälleg gewielte Wäert, wann am Input kee Seed uginn ass; soss gëtt de geliwwerte Wäert widderholl. |
| `has_nsfw_concepts` | array of boolean | Gëtt un, ob NSFW-Konzepter an de generéierte Biller optrieden. |
| `prompt` | string | Prompt, deen während der Bild-Generatioun benotzt gëtt. |

## Related models

- [Z Image Base](https://doitong.com/developers/models/z-image/base.md) (`z-image/base`): $0.01 / megapixel
- [Z Image Base Lora](https://doitong.com/developers/models/z-image/base/lora.md) (`z-image/base/lora`): $0.012 / megapixel
- [Z Image Turbo](https://doitong.com/developers/models/z-image/turbo.md) (`z-image/turbo`): $0.005 / megapixel
- [Z Image Turbo Lora](https://doitong.com/developers/models/z-image/turbo/lora.md) (`z-image/turbo/lora`): $0.0085 / megapixel
- [Z-Image Turbo Seamless Tiling Lora](https://doitong.com/developers/models/z-image/turbo/tiling/lora.md) (`z-image/turbo/tiling/lora`): $0.025 / megapixel of output image
- [Z Image Turbo Controlnet](https://doitong.com/developers/models/z-image/turbo/controlnet.md) (`z-image/turbo/controlnet`): $0.013 / image
- [Z Image Turbo Controlnet Lora](https://doitong.com/developers/models/z-image/turbo/controlnet/lora.md) (`z-image/turbo/controlnet/lora`): $0.04 / image
- [Z Image Turbo Image To Image](https://doitong.com/developers/models/z-image/turbo/image-to-image.md) (`z-image/turbo/image-to-image`): $0.015 / image

## Links

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