# Z-Image Turbo Seamless Tiling API

> Modèle texte-image rapide produisant une sortie répétable en mosaïque, avec mosaïque horizontale, verticale ou bidirectionnelle et remplissage

Génère des images qui se répètent sur leurs bords, contrôlées par `tiling_mode` (both, horizontal ou vertical), `tile_size` et `tile_stride`. Exécute jusqu’à 8 étapes d’inférence et retourne 1 à 4 images en png, jpeg ou webp. La fourniture de `image_url` active le mode image-à-image et l’ajout de `mask_image_url` active le remplissage. `strength` détermine l’ampleur des modifications de l’entrée.

- 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.ru/v1/run/z-image/turbo/tiling`
- Quote: `POST https://api.doitong.ru/v1/quote/z-image/turbo/tiling`
- Docs page: https://doitong.com/fr-CA/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.ru/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 |  |  | Invite qui guide la génération d’image. |
| `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` | Dimensions de l’image générée, 'auto' sélectionnant 1024x1024 sauf si une image d’entrée est fournie, auquel cas ses dimensions sont utilisées. |
| `num_inference_steps` |  | integer | no | `8` | 1 – 8 | Nombre d’étapes d’inférence à exécuter. |
| `seed` |  | integer \| null | no |  |  | Valeur de départ pour des images reproductibles : une invite et une valeur de départ identiques produisent une image identique lorsque la version du modèle est inchangée. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Nombre d’images demandé pour la génération. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Vérification de sécurité qui renvoie des images noires à la place des images signalées comme non sécuritaires. La valeur true active la vérification; false la désactive uniquement pour les comptes autorisés, tandis que les requêtes non autorisées sont vérifiées dans tous les cas. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Format de fichier de l’image obtenue. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Niveau d’accélération appliqué au traitement. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Contrôle l’activation de l’expansion de l’invite. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | URL de l’image utilisée pour la génération image-à-image ou l’inpainting. La fourniture de mask_image_url sélectionne l’inpainting; son omission sélectionne la génération image-à-image. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | URL du masque d’inpainting fournie avec image_url, qui est obligatoire. Le masque conserve les zones noires inchangées et régénère les zones blanches. |
| `strength` |  | number | no | `0.6` | ≤ 1, > 0 | Intensité de transformation appliquée uniquement à une image fournie via image_url; sinon, elle n’est pas utilisée. |
| `tile_size` |  | integer | no | `128` | 32 – 256 | Taille des tuiles dans l’espace latent, où 64 correspond à 512px, 128 à 1024px et 256 à 2048px. Les dimensions de l’image générée plafonnent automatiquement la taille le long des axes carrelés; la patchification exige une valeur paire, divisible par 2. |
| `tile_stride` |  | integer | no | `64` | 16 – 128 | Pas des tuiles dans l’espace latent, avec les équivalences en pixels suivantes : 32 = 256px, 64 = 512px et 128 = 1024px. Seuls les multiples de 2 sont valides; toute valeur supérieure à la moitié de la taille effective de la tuile est automatiquement réduite à cette limite. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Direction du carrelage : 'both' couvre toutes les directions, 'horizontal' couvre uniquement de gauche à droite et 'vertical' uniquement de haut en bas. |

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.ru/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.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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.ru/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.ru/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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Informations de fichier pour les images générées. |
| `timings` | object | Informations temporelles du processus de génération. |
| `seed` | integer | Graine de génération d’image, incluant la valeur choisie aléatoirement si l’entrée n’a pas fourni de graine; sinon, elle répète la valeur fournie. |
| `has_nsfw_concepts` | array of boolean | Indique si des concepts NSFW apparaissent dans les images générées. |
| `prompt` | string | Invite utilisée pendant la génération d’image. |

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