# Ideogram V4.0q Tiling API

> 프롬프트 또는 선택적 원본 이미지로 가장자리에서 이어지는 반복 텍스처와 패턴을 생성

배경, 표면 및 벽지용 타일형 이미지를 생성합니다. `tiling_mode`는 양방향, 가로만 또는 세로만 반복을 선택합니다. 기존 이미지 변환을 위해 `image_url`을 전달하고(`strength` 0~1), 흰색 영역만 다시 생성하려면 `mask_url`을 추가합니다. 6개 크기 프리셋에서 호출당 1~4개의 이미지를 jpeg 또는 png로 생성합니다.

- Model id: `ideogram/v4/tiling`
- Made by: Ideogram
- Category: Image Editing
- Output: image
- Price: from $0.03 / megapixel (cheapest run $0.03 (30 API credits))
- Run: `POST https://api.doitong.com/v1/run/ideogram/v4/tiling`
- Quote: `POST https://api.doitong.com/v1/quote/ideogram/v4/tiling`
- Docs page: https://doitong.com/ko/developers/models/ideogram/v4/tiling

## Pricing

Price: **from $0.03 / megapixel** (the lowest tier; the quote prices your exact input). Billed per megapixel of output (width × height of every image). Each image is rounded up to a whole megapixel.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `rendering_speed` = BALANCED: $0.06 (60 API credits) / megapixel
- When `rendering_speed` = QUALITY: $0.10 (100 API credits) / megapixel

The full example input below costs $0.06 = 60 API credits (1 MP × 60 API credits).

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/ideogram/v4/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 |  |  | 이미지 생성을 안내하는 프롬프트입니다. |
| `expansion_model` |  | enum (string) | no | `Medium` | `None`, `Medium`, `Large` | 프롬프트 확장 모델을 선택합니다. 'Large'는 Ideogram의 Magic Prompt를 통해 최고 품질을 제공하고, 'Medium'은 속도를 우선합니다. 프롬프트를 확장하지 않으려면 'None'을 선택합니다. |
| `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` | 매끄럽게 타일링되는 생성 이미지의 해상도입니다. |
| `rendering_speed` |  | enum (string) | no | `BALANCED` | `TURBO`, `BALANCED`, `QUALITY` | 렌더링 속도 설정입니다. 더 빠른 옵션은 디노이징 단계를 더 적게 수행합니다. |
| `acceleration` |  | enum (string) | no | `none` | `none`, `low`, `regular`, `high` | 이미지 생성 가속 설정입니다. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | 생성할 이미지 수입니다. |
| `seed` |  | integer \| null | no |  |  | 생성에 사용할 시드입니다. 값을 제공하지 않으면 무작위로 선택됩니다. |
| `enable_safety_checker` |  | boolean | no | `true` |  | 안전 검사 스위치입니다. 끔 설정에는 계정 인증이 필요합니다. 인증이 없으면 설정과 관계없이 모든 요청을 검사하며, true는 검사기를 활성화합니다. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | 결과 이미지의 파일 형식입니다. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | 두 타일링 모드 중 하나에 사용할 선택적 이미지 URL입니다. 인페인팅 타일링에는 `mask_url`도 필요하고, 이미지-이미지 타일링에서는 `mask_url` 없이 사용합니다. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | 인페인팅 타일링에 사용할 선택적 마스크 이미지 URL입니다. `image_url`도 제공해야 합니다. 흰색 영역은 다시 생성되고 검은색 영역은 변경되지 않습니다. |
| `strength` |  | number | no | `0.8` | 0 – 1 | 원본 이미지의 변환 강도입니다. `image_url`을 제공한 경우에만 적용됩니다. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | 타일링 방향입니다. 'both'는 모든 방향으로, 'horizontal'은 왼쪽에서 오른쪽으로, 'vertical'은 위에서 아래로만 타일링합니다. |

File parameters (`image`, `mask`) 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/ideogram/v4/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/ideogram/v4/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/ideogram/v4/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": "ideogram/v4/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": "ideogram/v4/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": 60,
    "usd": "0.06",
    "charged": 60,
    "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} | 모델이 생성한 이미지입니다. |
| `timings` | object |  |
| `seed` | integer | 이미지 생성 시드입니다. 입력에서 시드를 생략하면 무작위로 선택된 값이 포함되고, 그렇지 않으면 제공한 값이 반복됩니다. |
| `has_nsfw_concepts` | array of boolean | 생성된 이미지에 NSFW 개념이 나타나는지 나타냅니다. |
| `prompt` | string | 이미지 생성에 사용되는 프롬프트입니다. |

## Related models

- [Ideogram V4.0 Text to Image](https://doitong.com/developers/models/ideogram/v4.md) (`ideogram/v4`): from $0.0075 / megapixel of output image
- [Ideogram V4.0q \[fast\]](https://doitong.com/developers/models/ideogram/v4/fast.md) (`ideogram/v4/fast`): from $0.00525 / megapixel of output image
- [Ideogram V4.0q \[instant\]](https://doitong.com/developers/models/ideogram/v4/instant.md) (`ideogram/v4/instant`): $0.0075 / megapixel of output image
- [Ideogram V4.0q Text to Image (LoRA)](https://doitong.com/developers/models/ideogram/v4/lora.md) (`ideogram/v4/lora`): from $0.0113 / megapixel of output image
- [Ideogram V4.0q Image to Image](https://doitong.com/developers/models/ideogram/v4/image-to-image.md) (`ideogram/v4/image-to-image`): from $0.0075 / megapixel of output image
- [Ideogram V4.0q Image to Image LoRA](https://doitong.com/developers/models/ideogram/v4/image-to-image/lora.md) (`ideogram/v4/image-to-image/lora`): from $0.0113 / megapixel of output image
- [Ideogram V4.0q Tiling LoRA](https://doitong.com/developers/models/ideogram/v4/tiling/lora.md) (`ideogram/v4/tiling/lora`): from $0.0338 / megapixel
- [Ideogram V4.0q LoRA Trainer](https://doitong.com/developers/models/ideogram/v4/trainer.md) (`ideogram/v4/trainer`): $0.00675 / step

## Links

- HTML page: https://doitong.com/developers/models/ideogram/v4/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=ideogram/v4/tiling
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ideogram/v4/tiling