# Ideogram V4.0q Text to Image (LoRA) API

> Gineadair teacsa-gu-ìomhaigh le suas ri 3 cuideaman LoRA, làidir air clò-sgrìobhadh agus obair stoidhle

Gineadh e ìomhaighean bho prompt teacsa agus cuiridh e suas ri trì cuideaman LoRA an sàs tro `loras`. Tagh bho sia ro-shuidhichidhean `image_size`, iarr 1 gu 4 ìomhaighean gach gairm, agus cuir a-mach JPEG no PNG. Tha `rendering_speed` a’ tabhann TURBO, BALANCED no QUALITY, agus faodaidh `expansion_model` am prompt ath-sgrìobhadh aig ìre Medium no Large, no a bhith dheth.

- Model id: `ideogram/v4/lora`
- Made by: Ideogram
- Category: Text to Image
- Output: image
- Price per megapixel of your output image: from $0.0113 / megapixel of output image (cheapest run $0.012 (12 API credits))
- Run: `POST https://api.doitong.com/v1/run/ideogram/v4/lora`
- Quote: `POST https://api.doitong.com/v1/quote/ideogram/v4/lora`
- Docs page: https://doitong.com/gd/developers/models/ideogram/v4/lora

## Pricing

Price: **from $0.0113 / megapixel of output image** (the lowest tier; the quote prices your exact input). 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.

Price by tier:

- TURBO: $0.0113 / megapixel of output image
- BALANCED: $0.0225 / megapixel of output image
- QUALITY: $0.0375 / megapixel of output image

The full example input below costs $0.023 = 23 API credits (1 MP output image × $0.0225 (BALANCED)).

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/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 a stiùireas gineadh ìomhaighe. |
| `expansion_model` |  | enum (string) | no | `Medium` | `None`, `Medium`, `Large` | Tagh am modail leudachaidh prompt: tha 'Large' a’ tabhann na càileachd as àirde tro Magic Prompt Ideogram, agus tha 'Medium' a’ cur prìomhachas air astar. Tagh 'None' gus am prompt fhàgail gun leudachadh. |
| `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` | Dùmhlachd-bhreacaidh na h-ìomhaighe a thathar a’ gineadh. |
| `rendering_speed` |  | enum (string) | no | `BALANCED` | `TURBO`, `BALANCED`, `QUALITY` | Suidheachadh astar renderachaidh; bidh roghainnean nas luaithe a’ dèanamh nas lugha de cheumannan denoising. |
| `acceleration` |  | enum (string) | no | `none` | `none`, `low`, `regular`, `high` | Suidheachadh luathachaidh airson ìomhaighean a ghineadh. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Àireamh nan ìomhaighean ri chruthachadh. |
| `seed` |  | integer \| null | no |  |  | Seed airson gineadh, air a thaghadh air thuaiream mura toir thu seachad luach. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Tionndadh sgrùdaidh sàbhailteachd agus feumaidh a shuidheachadh dheth ùghdarras cunntais. Gun an ùghdarras sin, thèid gach iarrtas a sgrùdadh ge bith dè an suidheachadh; tha true a’ cur an sgrùdaiche an comas. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Cruth faidhle na h-ìomhaigh a thig às. |
| `loras` |  | array of object {path, scale} | no | `[]` | ≤ 3 items | Cuideaman LoRA ri chur an sàs, le crìoch de 3 inntrigidhean. |
| `loras[].path` |  | string | yes |  |  | URL a’ faidhle .safetensors anns a bheil cuideaman Ideogram V4 LoRA. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Iomaireadair a thèid a chur air na cuideaman LoRA. |

## 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/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/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/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/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/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": 23,
    "usd": "0.023",
    "charged": 23,
    "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} | Ìomhaighean a chaidh a chruthachadh leis a’ mhodail. |
| `timings` | object |  |
| `seed` | integer | Sìol gineadh ìomhaighe, a’ gabhail a-steach an luach a chaidh a thaghadh air thuaiream ma chaidh sìol fhàgail às an in-chur; air dhòigh eile, bidh e ag ath-aithris an luach a chaidh a solar. |
| `has_nsfw_concepts` | array of boolean | A’ comharrachadh a bheil bun-bheachdan NSFW a’ nochdadh anns na h-ìomhaighean a chaidh a ghineadh. |
| `prompt` | string | Prompt a chaidh a chleachdadh rè gineadh ìomhaighe. |

## 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 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 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/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/lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ideogram/v4/lora