# Z-Image Turbo Seamless Tiling API

> Spartus teksto į vaizdą modelis, generuojantis pasikartojančią išvestį su horizontaliu, vertikaliu arba abiejų krypčių išklotinimu ir vaizdo įterpimu

Generuoja vaizdus, pasikartojančius per kraštus, valdant per `tiling_mode` (both, horizontal arba vertical), `tile_size` ir `tile_stride`. Atliekama iki 8 išvadų žingsnių ir grąžinami 1–4 vaizdai png, jpeg arba webp formatu. Pateikus `image_url` įjungiamas vaizdo į vaizdą režimas, o pridėjus `mask_image_url` – vaizdo įterpimas. `strength` nustato, kiek pakeičiama įvestis.

- 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.com/v1/run/z-image/turbo/tiling`
- Quote: `POST https://api.doitong.com/v1/quote/z-image/turbo/tiling`
- Docs page: https://doitong.com/lt/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.com/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 |  |  | Vaizdo generavimą valdantis raginys. |
| `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` | Sugeneruoto vaizdo matmenys; pasirinkus 'auto', naudojamas 1024x1024, nebent pateiktas įvesties vaizdas – tokiu atveju naudojami jo matmenys. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | Atliekamų išvedimo žingsnių skaičius. |
| `seed` |  | integer \| null | no |  |  | Atkuriamų vaizdų pradinė reikšmė: nepakitęs raginys ir pradinė reikšmė sukuria tokį patį vaizdą, jei modelio versija nepasikeitė. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Generavimui prašomas vaizdų skaičius. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Saugos tikrinimas, kuris vietoje nesaugiais pažymėtų vaizdų grąžina juodus vaizdus. true įjungia tikrinimą; false jį išjungia tik įgaliotoms paskyroms, o neįgaliotų paskyrų užklausos tikrinamos visada. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Galutinio vaizdo failo formatas. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Apdorojimui taikomas spartinimo lygis. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Valdo, ar įjungtas raginio išplėtimas. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Vaizdo URL, naudojamas vaizdo į vaizdą generavimui arba vaizdo atkūrimui. Pateikus mask_image_url pasirenkamas vaizdo atkūrimas, o jo nepateikus – vaizdo į vaizdą generavimas. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Vaizdo užpildymo kaukės URL, pateikiamas kartu su privalomu image_url. Kaukė išlaiko juodas sritis nepakeistas ir sugeneruoja baltas sritis iš naujo. |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | Transformacijos stiprumas, taikomas tik per image_url pateiktam vaizdui; kitu atveju nenaudojamas. |
| `tile_size` |  | integer | no | `128` | 32 – 256 | Latentinės erdvės plytelės dydis: 64 atitinka 512px, 128 – 1024px, o 256 – 2048px. Sugeneruoto vaizdo matmenys automatiškai apriboja dydį išilgai plytelėmis dalijamų ašių; pataisymui reikalinga lyginė reikšmė, dalijama iš 2. |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | Latentinės erdvės plytelės žingsnis, kai pikselių atitikmenys yra 32 = 256px, 64 = 512px ir 128 = 1024px. Galimi tik iš 2 dalūs kartotiniai; bet kokia reikšmė, didesnė nei pusė efektyvaus plytelės dydžio, automatiškai sumažinama iki šios ribos. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Plytelių išdėstymo kryptis: 'both' apima visas kryptis, 'horizontal' – tik iš kairės į dešinę, o 'vertical' – tik iš viršaus į apačią. |

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.com/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.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/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.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",
}

# 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.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": "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.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} | Sugeneruotų vaizdų failo informacija. |
| `timings` | object | Generavimo proceso laiko informacija. |
| `seed` | integer | Vaizdo generavimo pradinė reikšmė, įskaitant atsitiktinai parinktą reikšmę, jei įvestyje pradinė reikšmė nenurodyta; kitu atveju kartojama pateikta reikšmė. |
| `has_nsfw_concepts` | array of boolean | Nurodo, ar sugeneruotuose vaizduose yra NSFW sąvokų. |
| `prompt` | string | Vaizdo generavimo metu naudojamas raginys. |

## 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.com/v1/models/z-image/turbo/tiling