# Ideogram V4.5 API

> Ideogram ᡳ ᠵᡠᠰᡳ ᡤᡝᠪᡠᠨ ᠵᠠᠯᡳᠨᠠᠨ: ᠵᡠᠰᡳ, ᠵᡠᠰᡳ ᠠᡵᠠᠮᡝ ᠵᡠᠯᡤᠠᠨ ᠵᠠᠯᡳᠨᡳ ᠵᠠᠯᡳᠨ.

Ideogram V4.5 ᡳᠨᡠ ᡳᠯᡝᡥᡝ ᠮᠣᠳᡝᠯ ᠮᡝᡵᡤᡝᠨᡳ ᠵᡠᠰᡳᠨᡳ ᠪᡝᠯᡤᡳᠶᡝᠨ ᠪᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠵᡠᠯᡝ ᠵᠠᠰᡳᡬᠠᠮᡝ᠂ ᠯᠣᠭᠣ᠂ ᠳᠠᠯᠳᠠᠨ ᠵᡝᠮᡝ ᠪᡝᠯᡤᡳᠶᡝᠨᡳ ᠵᡠᠯᡝ ᠪᡝ ᠵᠠᠪᡠᠯᡝᠮᡝ᠉ ᠨᡳᠶᠠᠯᠮᠠ ᠨᡝᠨᡝᠮᡝ ᠪᡠᠶᡝᠮᡝᠯᡝᠮᡝ᠂ ᡤᠠᠳᠠᠨᡳ ᠵᡠᠰᡳ ᠪᡝ ᠠᡩᠠᠯᡳ ᠪᡳ᠉ ᠵᡠᠯᡝ ᠬᡡᠯᠠᠨᡳ ᠵᠠᠰᡳᡬᠠᠨ᠂ `seed`᠂ ᠵᡠᠯᡝ ᠵᡝᠮᡝ ᠵᡠᠯᡝ ᠵᠠᠯᡳᠨᡩᡝ 8 ᠤᠴᡠᠨ ᠪᡠᠶᡝᠮᡝ᠉

- Model id: `ideogram/v4.5`
- Made by: Ideogram
- Category: Text to Image
- Output: image
- Price: from $0.03 / image (cheapest run $0.03 (30 API credits))
- Run: `POST https://api.doitong.com/v1/run/ideogram/v4.5`
- Quote: `POST https://api.doitong.com/v1/quote/ideogram/v4.5`
- Docs page: https://doitong.com/mnc/developers/models/ideogram/v4.5

## Pricing

Price: **from $0.03 / image** (the lowest tier; the quote prices your exact input). Billed per generated image (`num_images`, default 1).

The full example input below costs $0.06 = 60 API credits (1 image × 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/v4.5` 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 |  | 1 – 10000 characters | ᠪᡠᠶᡝᠮᡝ ᠠᠮᠠᠯᡠ ᠵᡠᠯᡤᡝᠮᡝ ᡳ 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` | ᠪᡠᠶᡝᠮᡝᠨ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝ ᠪᡝᠶᡝ ᠵᠠᠯᠠᠨ ᡶᡝᠨᡤᡳᠶᡝ ᡩᡝ ᡳᠨᡝᠩᡤᡳ ᡳᠯᡳᠪᡠᠮᡝ ᠪᡳ᠉ 1024x1024, 1024x3072, 1120x896, 1152x2944, 1152x864, 1248x3328, 1248x832, 1280x3072, 1280x720, 1280x800, 1296x3168, 1440x2560, 1440x2880, 1440x720, 1600x2560, 1664x2496, 1728x2304, 1792x2240, 2048x2048, 2240x1792, 2304x1728, 2496x1664, 2560x1440, 2560x1600, 2880x1440, 2944x1152, 3072x1024, 3072x1280, 3168x1296, 3328x1248, 720x1280, 720x1440, 800x1280, 832x1248, 864x1152, 896x1120. ᡥᡝᡵᡤᡝᠨ ᡩᡝ, 16:9 1280x720 ᠪᡝ 720x1280 ᡳᠨᡠ, 4:3 1152x864 ᠪᡝ 864x1152 ᡳᠨᡠ. ᠵᡠᠯᡝ ᠰᡠᠶᡠᡴᠠ ᠰᡠᠶᡠᡴᠠᠨ ᠪᡝ ᠵᡠᠯᡝ ᠪᡝᠶᡝ 1024x1024 ᡩᡝ ᠪᡠᠶᡝᠮᡝ ᠪᡳ᠉ |
| `quality` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | ᡥᡡᠯᠠᠨ ᡩᡝ ᠠᡵᠠᠯᠠᠮᡝᠨ ᠤᠯᡥᠠ ᠵᠠᠯᠠᠨ ᡶᡝᠨᡤᡳᠶᡝᠨ ᠵᡠᠯᡝᠯᡝᠮᡝ ᠪᡳ᠉ |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | ᠵᡠᠯᡝ ᡥᡡᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝᠯᡝᠮᡝ ᠪᡠᠶᡝᠮᡝ ᠪᡳ ᠣᠴᡳ ᠰᡠᠯᡤᡝᠨᡩᡝ ᠴᡳᠨᠠᠮᡝ ᠪᡳ᠉ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 8 | ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᠠᠮᠠᠨ. |
| `seed` |  | integer \| null | no |  |  | ᡩᡠᡵᡠᠨ ᠰᡝᠮᡝ ᠵᠠᠯᠠᠨ᠉ ᠵᡠᠯᡝ ᠪᡝ ᡝᠯᡝᡥᡝ ᡳᠨᡠ ᠠᡵᠠᠮᡝ ᠰᡝᠯᡤᡳᠶᡝᠯᡝᠮᡝ ᠪᡳ᠉ |

## Example input

Required parameters only:

```json
{
  "prompt": "A colorful storefront with a neon sign reading \"Night Owl Coffee\", rainy street reflections"
}
```

A fuller example:

```json
{
  "prompt": "A colorful storefront with a neon sign reading \"Night Owl Coffee\", rainy street reflections",
  "quality": "medium",
  "image_size": "landscape_4_3"
}
```

## 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/v4.5?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A colorful storefront with a neon sign reading \"Night Owl Coffee\", rainy street reflections",
    "quality": "medium",
    "image_size": "landscape_4_3"
  }'

# 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/v4.5?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A colorful storefront with a neon sign reading \"Night Owl Coffee\", rainy street reflections",
    "quality": "medium",
    "image_size": "landscape_4_3"
  }),
});
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 colorful storefront with a neon sign reading \"Night Owl Coffee\", rainy street reflections",
    "quality": "medium",
    "image_size": "landscape_4_3",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ideogram/v4.5", 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/v4.5",
      "input": {
        "prompt": "A colorful storefront with a neon sign reading \"Night Owl Coffee\", rainy street reflections",
        "quality": "medium",
        "image_size": "landscape_4_3"
      },
      "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/v4.5",
  "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 colorful storefront with a neon sign reading \"Night Owl Coffee\", rainy street reflections",
    "quality": "medium",
    "image_size": "landscape_4_3"
  },
  "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
      }
    ],
    "seed": 42
  },
  "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} |  |
| `seed` | integer | ᠮᡠᠶᠠᡥᡡᠨ ᡤᡝᠨᡝᡵᡝᠮᡝ ᡳ ᠰᡝᡵᡝᠩᡤᡝ᠈ |

## Related models

- [Ideogram V4.5 Edit](https://doitong.com/developers/models/ideogram/v4.5/edit.md) (`ideogram/v4.5/edit`): from $0.008 / image
- [Ideogram Upscale](https://doitong.com/developers/models/ideogram/upscale.md) (`ideogram/upscale`): $0.06 / image
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image

## Links

- HTML page: https://doitong.com/developers/models/ideogram/v4.5
- 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/v4.5
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ideogram/v4.5