# Z-Image Turbo Seamless Tiling API

> Modeli ya haraka ya maandishi-hadi-picha inayotoa matokeo yanayoweza kurudiwa, yenye tiling ya mlalo, wima au pande zote na inpainting

Hutengeneza picha zinazojirudia kwenye kingo, zikidhibitiwa na `tiling_mode` (both, horizontal au vertical), `tile_size` na `tile_stride`. Hufanya hadi hatua 8 za uelekezaji na hurudisha picha 1 hadi 4 katika png, jpeg au webp. Kutoa `image_url` huwezesha picha-hadi-picha, na kuongeza `mask_image_url` huwezesha inpainting. `strength` huamua kiwango cha mabadiliko ya ingizo.

- 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/sw/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 |  |  | Kidokezo kinachoongoza uzalishaji wa picha. |
| `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` | Vipimo vya picha iliyozalishwa, huku 'auto' ikichagua 1024x1024 isipokuwa picha ya ingizo imetolewa; katika hali hiyo, vipimo vyake vinatumika. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | Idadi ya hatua za inference zitakazoendeshwa. |
| `seed` |  | integer \| null | no |  |  | Seed ya picha zinazoweza kurudiwa: kidokezo na seed zinazofanana huzalisha picha inayofanana wakati toleo la modeli halijabadilika. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Idadi ya picha iliyoombwa kwa uzalishaji. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Ukaguzi wa usalama, unaorejesha picha nyeusi badala ya picha zilizobainishwa kuwa si salama. Thamani ya true huanzisha ukaguzi; false huuzima tu kwa akaunti zilizoidhinishwa, huku maombi yasiyo na idhini yakikaguliwa bila kujali. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Muundo wa faili wa picha inayotokana. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Kiwango cha kuongeza kasi kinachotumika kwenye uchakataji. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Hudhibiti ikiwa upanuzi wa kidokezo umewashwa. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | URL ya picha inayotumika kwa uzalishaji wa picha-kwa-picha au uchoraji wa ndani. Kutoa mask_image_url huchagua uchoraji wa ndani; kuiacha huchagua uzalishaji wa picha-kwa-picha. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | URL ya maski ya inpainting iliyotolewa pamoja na image_url inayohitajika. Maski huhifadhi maeneo meusi bila mabadiliko na huzalisha upya maeneo meupe. |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | Nguvu ya mabadiliko inayotumika tu kwenye picha iliyotolewa kupitia image_url; vinginevyo haitumiki. |
| `tile_size` |  | integer | no | `128` | 32 – 256 | Ukubwa wa kigae katika nafasi fiche, ambapo 64 inalingana na 512px, 128 na 1024px, na 256 na 2048px. Vipimo vya picha iliyozalishwa hupunguza kiotomatiki ukubwa kwenye mihimili iliyogawanywa kwa vigae; uundaji wa viraka unahitaji thamani sawia, inayogawanyika kwa 2. |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | Hatua ya kusogeza kigae katika nafasi fiche, yenye viwango sawa vya pikseli vya 32 = 256px, 64 = 512px, na 128 = 1024px. Ni vizidishio vya 2 pekee vinavyokubalika; thamani yoyote iliyo juu ya nusu ya ukubwa halisi wa kigae hupunguzwa kiotomatiki hadi kikomo hicho. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Mwelekeo wa kugawa kwa vigae: 'both' hufunika mielekeo yote, 'horizontal' hufunika kutoka kushoto kwenda kulia pekee, na 'vertical' hufunika kutoka juu kwenda chini pekee. |

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} | Maelezo ya faili za picha zilizozalishwa. |
| `timings` | object | Maelezo ya muda wa mchakato wa uzalishaji. |
| `seed` | integer | Seed ya uzalishaji wa picha, ikijumuisha thamani iliyochaguliwa bila mpangilio ikiwa ingizo halikutoa seed; vinginevyo, hurudia thamani iliyotolewa. |
| `has_nsfw_concepts` | array of boolean | Huonyesha ikiwa dhana za NSFW zinaonekana katika picha zilizozalishwa. |
| `prompt` | string | Kidokezo kinachotumika wakati wa uzalishaji wa picha. |

## 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