# Z-Image Turbo Seamless Tiling API

> ᠮᡠᠰᡝ ᠵᡠᠰᡳ ᠴᡳ ᠵᡠᠰᡳ ᠠᠴᠠᠮᠪᡳ, ᡝᠮᡠᠨᡳ ᠵᡠᠯᡤᡝᠨ, ᠵᡠᠯᡤᡝᠨ ᠪᠠ ᠵᡠᠯᡤᡝᠨ ᠵᠠᠯᠠᠨ

`tiling_mode` (both, horizontal ᠪᠠ vertical), `tile_size` ᠪᠠ `tile_stride` ᠵᡠᠯᡤᡝᠮᡝ ᠵᡠᠰᡳᠨᡳ ᠵᡠᠯᡤᡝᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ ᠠᠴᠠᠮᠪᡳ᠉ 8 ᠵᡠᠯᡤᡝᠨ, 1 ᠴᡳ 4 ᠵᡠᠰᡳ, png, jpeg ᠪᠠ webp ᠠᠴᠠᠮᠪᡳ᠉ `image_url` ᠵᡠᠯᡤᡝᠮᡝ image-to-image, `mask_image_url` ᠵᡠᠯᡤᡝᠮᡝ inpainting ᠠᠴᠠᠮᠪᡳ᠉ `strength` ᠪᡝ ᠵᡠᠯᡤᡝᠨ ᠵᡠᠰᡳᠨᡳ ᠠᠯᠪᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ᠉

- 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/mnc/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 |  |  | ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ᠉ |
| `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` | ᠪᡠᠶᡝᠮᡝ ᡳ ᡤᠠᡩᠠᠨ ᡳ ᠪᡠᡨᡥᡝᠨ᠂ 'auto' ᠵᡠᠯᡝ ᡩᡝ 1024x1024 ᠰᡳᠯᡤᠠᠮᡝ᠉ ᡝᡵᡝ ᠪᡠᠮᡝ ᠪᡳ ᡩᡝ᠂ ᠰᡳ ᡳ ᠪᡠᡨᡥᡝᠨ ᡩᡝ ᠵᠠᠯᡠᠮᡝ᠉ |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | ᠶᠠᠪᡠᠯᠠᡵᠠ ᡠᠯᡥᡳᠰᡠ ᠪᠣᡩᠣᡵᠣ ᠠᠯᡥᠠ ᡳ ᡨᠣᠨ. |
| `seed` |  | integer \| null | no |  |  | ᡳᠨᠠᠩᡤᠠ ᡤᠠᠳᠠᠨ ᡳ ᡶᡳᠶᠠᠩᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡝᠮᡠ ᡝᠨᡝᠩᡤᡳ ᡥᡡᠯᠠᠨ ᡳ ᠰᡝᠮᡝ ᡳᠨᡠ ᡝᠮᡠ ᡤᠠᠳᠠᠨ ᠪᡠᠶᡝᠮᡝ, ᠮᠣᠳᡝᠯᡳ ᡥᡡᠯᠠᠨ ᡳ ᡝᠮᡠ ᠵᠠᠩ ᠪᠠᠶᠠᠨ ᠪᡠᠮᡝ. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᡠᠴᡝᠨ ᡳ ᠵᡠᠰᡝ ᡳ ᡩᡠᠯᠠᠨ᠉ |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠠᠮᡤᠠᠨᡳ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ; ᠠᠮᡤᠠᠨ ᠪᡝ ᡠᠵᡠᠯᠠᠮᡝ ᡤᠠᠳᠠᠨ ᠪᡝ ᡴᠠᡵᠠ ᠪᡠᠶᡝᠮᡝᠮᠪᡳ᠉ true ᠪᡝ ᡠᠵᡠᠯᠠᠮᡝᠨᡳ ᡩᠠᠯᡳᠨ; false ᠪᡝ ᡩᠠᠯᡳᠨ ᠠᡴᡠᠯᠠᠮᠪᡳ᠂ ᠵᡠᠯᡝ ᠵᡠᠯᡝᠨᡳ ᠪᡝ ᠠᡴᡠᠯᠠᠮᠪᡳ᠉ |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ ᡳ ᠵᡠᠰᡝ᠉ |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | ᠠᠵᡳᠯᠠᠮᠪᡳ ᡳ ᠵᠠᠪᡠᡥᠠᠨ ᡳ ᠲᠣᡤᠣᠨ᠉ |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | ᡥᡡᠯᠠᠨ ᠪᡝ ᡩᡝᠯᡝᠪᡠᡵᡝ ᠪᡝ ᡝᠪᡠᡵᡝ ᡝᠪᡠᡵᠠᡴᡡ ᠪᡝ ᡠᠵᡳᠮᠪᡳ. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | ᡤᠠᡩᠠᠨ URL ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡳ ᡤᠠᡩᠠᠨ-ᡩᡝ-ᡤᠠᡩᠠᠨ ᠪᡠᠶᡝᠮᡝ ᠵᡝᠯᡝᠮᡝ ᠪᡠᠶᡝᠮᡝ ᡶᡳ inpainting ᡩᡝ ᠵᠠᠯᡠᠮᡝ᠉ mask_image_url ᠪᡠᠮᡝ ᡩᡝ inpainting ᠰᡳᠯᡤᠠᠮᡝ᠂ ᡝᠯᡝ ᠪᡠᠮᡝ ᡩᡝ ᡤᠠᡩᠠᠨ-ᡩᡝ-ᡤᠠᡩᠠᠨ ᠪᡠᠶᡝᠮᡝ ᠰᡳᠯᡤᠠᠮᡝ᠉ |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | ᠵᠠᠯᠠᠨ ᡳ mask URL, ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ image_url ᠵᡠᠯᡝ᠉ ᠰᠠᡵᡤᠠᠨ ᡳ ᠯᠠᠪᡩᡠ ᠪᡝ ᠮᡠᠰᡝ ᠪᡠᠮᡝ, ᠰᠠᡵᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠰᡳᠮᡝ᠉ |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | image_url ᡩᡝ ᠪᡠᠮᡝ ᡤᠠᳳᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡠᠮᡝ; ᠠᡴᡡ ᡩᡝ ᠠᡴᡡ ᠪᡠᠮᡝ᠉ |
| `tile_size` |  | integer | no | `128` | 32 – 256 | ᠯᠠᡨᡝᠨᡨ ᠵᠠᠯᡠᠪᡠᠨ ᡳ ᡶᠠᡩᠠᠨ ᡳ ᠪᡠᡨᡥᡝᠨ᠂ 64 ᠣᠮᠪᡳ 512px᠂ 128 ᠣᠮᠪᡳ 1024px᠂ 256 ᠣᠮᠪᡳ 2048px᠉ ᠪᡠᠶᡝᠮᡝ ᡳ ᠤᠯᠠᠨ ᡳ ᠪᡠᡨᡥᡝᠨ ᠵᡠᠯᡝ ᡳ ᡶᠠᡩᠠᠨ ᠪᡝ ᠵᡠᠯᡝᠮᡝ ᠠᠰᡠᡵᡠ ᠪᡠᠶᡝᠮᡝ᠉ patchification ᡩᡝ 2 ᡳ ᠵᡠᠪᡝᠨ ᠪᡳ᠉ |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | ᠯᠠᡨᡝᠨᡨ ᠵᠠᠯᡠᠪᡠᠨ ᡳ ᡶᠠᡩᠠᠨ ᡳ ᠵᡠᠯᡝᠮᡝ᠂ 32 = 256px᠂ 64 = 512px᠂ 128 = 1024px᠉ 2 ᡳ ᠮᡠᠰᡝ ᠵᡠᠯᡝ ᠪᡳ᠉ ᠠᠮᠠᠰᡳ ᡩᡝ ᠵᡠᠯᡝ ᡳ ᠵᡠᠰᡨᠠᠨ ᡳ ᡩᠠᠯᡳ ᠪᡝ ᠠᠰᡠᡵᡠ ᠣᠮᠪᡳ᠉ |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | ᡶᠠᡩᠠᠨ ᡳ ᠵᡠᠯᡝ: 'both' ᡝᠮᡤᡳ ᡶᠠᡩᠠᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ᠂ 'horizontal' ᡩᠠᠯᡳ ᡩᡝ ᠵᡠᠯᡝᠮᡝ᠂ 'vertical' ᡩᠠᠯᡳ ᡩᡝ ᠵᡠᠯᡝᠮᡝ᠉ |

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} | ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨᡳ ᡶᡳᠯᡝ ᡩᠠᠮᡠ. |
| `timings` | object | ᠪᡠᠶᡝᠮᡝ ᡳ ᡩᠠᠩᠰᡝ ᡩᡝ ᡩᠠᠮᠪᠠᠨ. |
| `seed` | integer | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡝᠨᡩᡝᠨᡳ ᠵᠠᠯᡳᠨ; ᡳᠨᡠ ᠪᡳᠰᡳᡵᡝᠨ ᠪᡝ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠉ |
| `has_nsfw_concepts` | array of boolean | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠤᠯᡥᠠᠨ ᠤᠨᠠᠰᡳᠨ ᠩᡝᠮᡝ ᠪᡳ ᠰᡝᠮᡝ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠉ |
| `prompt` | string | ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ᠉ |

## 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