# Z-Image Turbo Seamless Tiling API

> Tauira text-to-image tere e whakaputa ana i te putanga tāpa-tāruarua, me te tāpa whakapae, poutū, taha-rua rānei me te whakakī ā-roto

Ka whakaputa atahanga ka tāruarua puta noa i ngā tapa, ka whakahaerehia e `tiling_mode` (both, horizontal, vertical rānei), `tile_size` me `tile_stride`. Ka whakahaere kia 8 hipanga whakatauira, ā, ka whakahoki i te 1 ki te 4 atahanga hei png, jpeg, webp rānei. Mā te tuku `image_url` e whakahohe te image-to-image, ā, mā te tāpiri `mask_image_url` e whakahohe te whakakī ā-roto. Mā `strength` e whakarite te nui o te panoni o te tāuru.

- 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/mi/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 |  |  | Te tohutohu e ārahi ana i te whakaputanga atahanga. |
| `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` | Ngā ine o te atahanga kua whakaputaina, ā, mā 'auto' e kōwhiri te 1024x1024 ki te kore he atahanga tāuru; mēnā he atahanga tāuru, ka whakamahia ōna ine. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | Tau o ngā hipanga whakatauira hei whakahaere. |
| `seed` |  | integer \| null | no |  |  | Kākano mō ngā atahanga ka taea te whakahoki anō: mā te tohutohu me te kākano ōrite ka puta he atahanga ōrite ina kāore te putanga tauira i whakarerekēhia. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Te tatau atahanga e tonoa ana mō te whakaputanga. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Te tirotiro haumaru, ka whakahoki atahanga pango hei whakakapi i ngā atahanga kua tohungia he haumaru-kore. Mā true e whakahohe te tirotiro; mā false e mono anake mō ngā pūkete whai mana, ā, ka tirotirohia ngā tono kāore he mana ahakoa te aha. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Te hōputu kōnae mō te atahanga ka puta. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Taumata whakatere i whakamahia mō te tukatuka. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Ka whakahaere mēnā kua whakahohea te whakawhānui tohutohu. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | URL atahanga ka whakamahia mō te whakaputanga atahanga-ki-te-atahanga, mō te whakakī-atahanga rānei. Mā te tuku mask_image_url e kōwhiri te whakakī-atahanga; ki te waiho, ka kōwhiria te whakaputanga atahanga-ki-te-atahanga. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Te URL kopare inpainting ka tukuna me te image_url e hiahiatia ana. Ka mau tonu ngā wāhi pango, ā, ka whakaputa anō i ngā wāhi mā. |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | Te kaha panoni ka whakamahia ki tētahi atahanga i tukuna mā image_url anake; kāore e whakamahia ki te kore. |
| `tile_size` |  | integer | no | `128` | 32 – 256 | Rahi tāpa o te wāhi latent, ko te 64 e hāngai ana ki te 512px, ko te 128 ki te 1024px, ā, ko te 256 ki te 2048px. Mā ngā ine o te atahanga kua whakaputaina e aukati aunoa te rahi i ngā tuaka kua tāpahia; me taurite te uara mō te patchification, ā, me whakawehea ki te 2. |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | Hīkoi tāpa o te wāhi latent, me ngā ōrite pika 32 = 256px, 64 = 512px, me 128 = 1024px. Ko ngā whakarea o te 2 anake e tika ana; ko ngā uara kei runga ake i te haurua o te rahi tāpa whaihua ka whakaitihia aunoatia ki taua tepenga. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Aronga tāpa: ko 'both' e kapi ana i ngā aronga katoa, ko 'horizontal' anake mai i te mauī ki te katau, ā, ko 'vertical' anake mai i runga ki raro. |

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} | Pārongo kōnae mō ngā atahanga kua whakaputaina. |
| `timings` | object | Ngā pārongo wā mō te tukanga whakaputa. |
| `seed` | integer | Kākano whakaputa atahanga, tae atu ki te uara i kōwhiria matapōkeretia mēnā kāore i tukuna he kākano ki te tāuru; ki te kore, ka tukurua te uara i tukuna. |
| `has_nsfw_concepts` | array of boolean | Ka tohu mēnā ka puta ngā ariā NSFW i ngā atahanga kua whakaputaina. |
| `prompt` | string | Te tohutohu e whakamahia ana i te whakaputanga atahanga. |

## 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