# Ideogram V4.5 API

> لوگوز، پوسٹرز اور سائن بورڈز کے لیے Ideogram کا ٹائپوگرافی ماہر، تین معیار کی سطحوں کے ساتھ۔

Ideogram V4.5 درست حروف لکھنے کے لیے قابلِ اعتماد ترین ماڈلز میں سے ایک ہے: logos، shop signs، posters اور social graphics میں الفاظ درست طور پر لکھے جاتے ہیں۔ کم، درمیانہ اور زیادہ معیار تفصیل کے بدلے رفتار اور قیمت میں توازن رکھتے ہیں؛ تصویر کا سائز قیمت تبدیل نہیں کرتا۔ اختیاری پرامپٹ توسیع، سیڈ اور ہر درخواست میں آٹھ تک تصاویر۔

- 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.ru/v1/run/ideogram/v4.5`
- Quote: `POST https://api.doitong.ru/v1/quote/ideogram/v4.5`
- Docs page: https://doitong.com/ur/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.ru/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 | تخلیق یا ترمیم کو بیان کرنے والا پرامپٹ۔ |
| `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` | آؤٹ پٹ کے ابعاد ان معاون سائزوں میں سے کسی ایک کے ذریعے واضح طور پر متعین کیے جا سکتے ہیں: 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۔ پری سیٹس کے لیے 16:9، 1280x720 یا 720x1280 کے مساوی ہے، جبکہ 4:3، 1152x864 یا 864x1152 کے مساوی ہے۔ square منتخب کرنے پر 1024x1024 کا square_hd استعمال ہوتا ہے۔ |
| `quality` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | متن سے تصویر کی تخلیق کے لیے معیار کی ترتیب۔ |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | کنٹرول کرتا ہے کہ پارٹنر پرامپٹ کو وسیع کرے یا نہیں۔ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 8 | تیار کی جانے والی تصاویر کی تعداد۔ |
| `seed` |  | integer \| null | no |  |  | بے ترتیب seed، جسے قدر نہ دینے پر خودکار طور پر منتخب کیا جاتا ہے۔ |

## 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.ru/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.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/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.ru/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.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": "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.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} |  |
| `seed` | integer | random number تخلیق کے لیے استعمال ہونے والی seed value۔ |

## 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.ru/v1/models/ideogram/v4.5
