# Ideogram V4.0q Tiling LoRA API

> Generator til fliselægbare mønstre, der anvender op til 3 LoRA'er for at fastholde et bestemt motiv eller en bestemt stil

En fliselægningsvariant, der accepterer tilpassede LoRA-vægte via `loras` (maksimalt 3), så gentagelige teksturer følger et trænet udtryk eller motiv. Understøtter `tiling_mode` for gentagelse i begge retninger, vandret eller lodret samt valgfri `image_url` og `mask_url` til billede-til-billede eller inpainting. Output er 1 til 4 billeder i jpeg eller png med tre renderingshastigheder.

- Model id: `ideogram/v4/tiling/lora`
- Made by: Ideogram
- Category: Image Editing
- Output: image
- Price: from $0.0338 / megapixel (cheapest run $0.034 (34 API credits))
- Run: `POST https://api.doitong.com/v1/run/ideogram/v4/tiling/lora`
- Quote: `POST https://api.doitong.com/v1/quote/ideogram/v4/tiling/lora`
- Docs page: https://doitong.com/da/developers/models/ideogram/v4/tiling/lora

## Pricing

Price: **from $0.0338 / 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: $0.0675 (67.5 API credits) / megapixel
- When `rendering_speed` = QUALITY: $0.1125 (112.5 API credits) / megapixel

The full example input below costs $0.068 = 68 API credits (1 MP × 67.5 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/lora` 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 |  |  | Prompt, der styrer billedgenerering. |
| `expansion_model` |  | enum (string) | no | `Medium` | `None`, `Medium`, `Large` | Vælg modellen til promptudvidelse: 'Large' giver den højeste kvalitet gennem Ideograms Magic Prompt, mens 'Medium' prioriterer hastighed. Vælg 'None' for at lade prompten være uudvidet. |
| `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` | Opløsning for det genererede billede, der fliselægges uden synlige samlinger. |
| `rendering_speed` |  | enum (string) | no | `BALANCED` | `TURBO`, `BALANCED`, `QUALITY` | Indstilling for gengivelseshastighed; hurtigere valgmuligheder udfører færre denoising-trin. |
| `acceleration` |  | enum (string) | no | `none` | `none`, `low`, `regular`, `high` | Accelerationsindstilling til generering af billeder. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Antal billeder, der skal produceres. |
| `seed` |  | integer \| null | no |  |  | Seed til generering, vælges tilfældigt, medmindre du angiver en værdi. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Sikkerhedskontrol, hvis deaktivering kræver kontogodkendelse. Uden denne godkendelse kontrolleres alle anmodninger uanset indstillingen; true aktiverer kontrollen. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Filformat for det resulterende billede. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Valgfri billed-URL til begge fliselægningstilstande: inpainting-fliselægning kræver `mask_url` sammen med den, mens billede-til-billede-fliselægning bruger den uden `mask_url`. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | Valgfri URL til maske, der bruges til inpainting-fliselægning; `image_url` skal også angives. Hvide områder genereres igen, mens sorte områder forbliver uændrede. |
| `strength` |  | number | no | `0.8` | 0 – 1 | Transformationsstyrke for kildebilledet; gælder kun, hvis `image_url` angives. |
| `tiling_mode` |  | enum (string) | no | `both` | `both`, `horizontal`, `vertical` | Fliselægningsretning: 'both' fliselægger i alle retninger, 'horizontal' kun fra venstre mod højre, og 'vertical' kun fra top mod bund. |
| `loras` |  | array of object {path, scale} | no | `[]` | ≤ 3 items | LoRA-vægte, der skal anvendes, begrænset til 3 poster. |
| `loras[].path` |  | string | yes |  |  | URL, der peger på en .safetensors-fil med Ideogram V4 LoRA-vægte. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplikator, der anvendes på LoRA-vægtene. |

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/lora?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/lora?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/lora", 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/lora",
      "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/lora",
  "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": 68,
    "usd": "0.068",
    "charged": 68,
    "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} | Billeder produceret af modellen. |
| `timings` | object |  |
| `seed` | integer | Seed til billedgenerering, inklusive den tilfældigt valgte værdi, hvis inputtet ikke angav en seed; ellers gentages den angivne værdi. |
| `has_nsfw_concepts` | array of boolean | Angiver, om NSFW-koncepter forekommer i de genererede billeder. |
| `prompt` | string | Prompt brugt under billedgenerering. |

## 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](https://doitong.com/developers/models/ideogram/v4/tiling.md) (`ideogram/v4/tiling`): from $0.03 / 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/lora
- 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/lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ideogram/v4/tiling/lora