# Z-Image Turbo Seamless Tiling API

> Snel text-to-image-model dat tegelbare uitvoer produceert, met horizontale, verticale of tweezijdige tiling en inpainting

Genereert afbeeldingen die over de randen heen herhalen, geregeld door `tiling_mode` (both, horizontal of vertical), `tile_size` en `tile_stride`. Voert maximaal 8 inferentiestappen uit en retourneert 1 tot 4 afbeeldingen in png, jpeg of webp. Met `image_url` wordt image-to-image ingeschakeld en met `mask_image_url` inpainting. `strength` bepaalt hoeveel de invoer verandert.

- 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/nl/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 |  |  | Prompt die afbeeldingsgeneratie stuurt. |
| `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` | Afmetingen van de gegenereerde afbeelding, waarbij 'auto' 1024x1024 kiest tenzij een invoerafbeelding is opgegeven; in dat geval worden de afmetingen daarvan gebruikt. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | Aantal uit te voeren inferentiestappen. |
| `seed` |  | integer \| null | no |  |  | Seed voor reproduceerbare afbeeldingen: een identieke prompt en seed produceren een identieke afbeelding als de modelversie ongewijzigd is. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Aantal afbeeldingen dat voor generatie wordt aangevraagd. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Veiligheidscontrole die zwarte afbeeldingen teruggeeft in plaats van afbeeldingen die als onveilig zijn gemarkeerd. true schakelt controle in; false schakelt deze alleen uit voor geautoriseerde accounts, terwijl requests zonder autorisatie altijd worden gecontroleerd. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Bestandsindeling van de resulterende afbeelding. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Versnellingsniveau dat op de verwerking wordt toegepast. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Bepaalt of promptuitbreiding is ingeschakeld. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Afbeeldings-URL die wordt gebruikt voor image-to-image-generatie of inpainting. Door mask_image_url op te geven, wordt inpainting geselecteerd; als dit wordt weggelaten, wordt image-to-image-generatie geselecteerd. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | URL van het inpainting-masker die samen met de vereiste image_url wordt aangeleverd. Het masker laat zwarte gebieden ongewijzigd en genereert witte gebieden opnieuw. |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | Transformatiesterkte die alleen wordt toegepast op een afbeelding die via image_url is aangeleverd; anders niet gebruikt. |
| `tile_size` |  | integer | no | `128` | 32 – 256 | Tegelgrootte in de latente ruimte, waarbij 64 overeenkomt met 512px, 128 met 1024px en 256 met 2048px. De afmetingen van de gegenereerde afbeelding beperken automatisch de grootte langs betegelde assen; patchification vereist een even waarde die deelbaar is door 2. |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | Tegelstap in de latente ruimte, met pixelequivalenten van 32 = 256px, 64 = 512px en 128 = 1024px. Alleen veelvouden van 2 zijn geldig; elke waarde boven de helft van de effectieve tegelgrootte wordt automatisch tot die limiet verlaagd. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Richting van betegeling: 'both' omvat alle richtingen, 'horizontal' alleen van links naar rechts en 'vertical' alleen van boven naar beneden. |

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} | Bestandsinformatie voor de gegenereerde afbeeldingen. |
| `timings` | object | Timinginformatie voor het generatieproces. |
| `seed` | integer | Seed voor afbeeldingsgeneratie, inclusief de willekeurig gekozen waarde als de invoer geen seed bevatte; anders wordt de opgegeven waarde herhaald. |
| `has_nsfw_concepts` | array of boolean | Geeft aan of NSFW-concepten in de gegenereerde afbeeldingen voorkomen. |
| `prompt` | string | Prompt die tijdens afbeeldingsgeneratie wordt gebruikt. |

## 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