# Ideogram V4.5 API

> Spécialiste de la typographie d’Ideogram pour logos, affiches et enseignes, avec trois niveaux de qualité.

Ideogram V4.5 est l'un des modèles les plus fiables pour le lettrage exact : logos, enseignes, affiches et visuels sociaux dont les mots sont correctement orthographiés. Les qualités faible, moyenne et élevée arbitrent vitesse et prix contre niveau de détail ; la taille de l'image ne modifie pas le prix. Expansion facultative du prompt, graine et jusqu'à huit images par requête.

- 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/fr/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 | Prompt décrivant la génération ou la modification. |
| `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` | Les dimensions de sortie peuvent être spécifiées explicitement avec l'une des tailles prises en charge suivantes : 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. Pour les préréglages, 16:9 correspond à 1280x720 ou 720x1280, et 4:3 correspond à 1152x864 ou 864x1152. La sélection de square utilise à la place square_hd en 1024x1024. |
| `quality` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | Paramètre de qualité pour la génération texte-image. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Contrôle si le partenaire développe le prompt. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 8 | Nombre d’images à produire. |
| `seed` |  | integer \| null | no |  |  | Seed aléatoire, sélectionnée automatiquement lorsqu'elle est omise. |

## 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 | Valeur de graine utilisée pour la génération de nombres aléatoires. |

## 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