# Ideogram V4.5 Edit API

> ویرایش تصویر Ideogram 4.5 بر اساس پرامپت، با ماسک اختیاری، حداکثر 4 مرجع و حالت دقت بالا

تصویر منبع را بر اساس پرامپتی با حداکثر 10,000 نویسه ویرایش می‌کند. `mask_url` اختیاری ناحیه ویرایش را محدود می‌کند و `reference_image_urls` حداکثر 4 مرجع می‌پذیرد. `edit_precision` در حالت high پیکسل‌های تغییرنکرده را بازسازی می‌کند و `quality` از very_low تا high است. در هر فراخوانی حداکثر 8 تصویر تولید می‌کند.

- Model id: `ideogram/v4.5/edit`
- Made by: Ideogram
- Category: Image Editing
- Output: image
- Price: from $0.008 / image (cheapest run $0.008 (8 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ideogram/v4.5/edit`
- Quote: `POST https://api.doitong.ru/v1/quote/ideogram/v4.5/edit`
- Docs page: https://doitong.com/fa/developers/models/ideogram/v4.5/edit

## Pricing

Price: **from $0.008 / image** (the lowest tier; the quote prices your exact input). Billed per generated image (`num_images`, default 1).

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `quality` = low: $0.03 (30 API credits) / image
- When `quality` = medium: $0.06 (60 API credits) / image
- When `quality` = high: $0.22 (220 API credits) / image

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/edit` 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 | پرامپت توصیف‌کننده تولید یا ویرایش. |
| `image_url` | `image` | string (image URL) | yes |  |  | تصویر منبع اصلی برای ویرایش. |
| `reference_image_urls` | `images` | array of image URL | no |  | ≤ 4 items | تصاویر مرجع همراه منبع اصلی: بدون ماسک حداکثر چهار تصویر، یا در صورت ارائه ماسک سه تصویر. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | ماسک ویرایش و حفظ؛ پس از گردکردن باید همچنان نواحی سیاه برای ویرایش و نواحی سفید برای حفظ را شامل شود. ابعاد آن باید با منبع برابر باشد. |
| `edit_precision` |  | enum (string) | no | `regular` | `regular`, `high` | دقت ویرایش را انتخاب کنید؛ دستورهای ویرایش ساختاریافته بدون توجه به انتخاب آماده می‌شوند. در حالت high، Precise Edit پیکسل‌های تغییرنیافته را بازیابی می‌کند؛ حالت regular به‌جای آن از Generate استفاده می‌کند. |
| `quality` |  | enum (string) | no | `medium` | `very_low`, `low`, `medium`, `high` | سطح کیفیت اعمال‌شده با هر دو تنظیم دقت ویرایش؛ مقدار پیش‌فرض medium است. |
| `image_size` |  | object {width, height} \| enum (string) | no | `auto` | `auto`, `square`, `square_hd`, `portrait_4_3`, `landscape_4_3`, `portrait_16_9`, `landscape_16_9` | انتخاب اندازه خروجی: پیش‌تنظیم‌های نام‌گذاری‌شده و ابعاد سفارشی فقط برای ویرایش‌های regular بدون ماسک در دسترس‌اند؛ هر بُعد باید >=256 و بر 32 بخش‌پذیر، مساحت <=4194304 و نسبت <=6:1 باشد. برای حفظ هندسه منبع، auto را انتخاب کنید؛ ارائه‌دهنده در صورت نیاز تصویر را کوچک می‌کند. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 8 | تعداد تصاویری که باید تولید شوند. |
| `seed` |  | integer \| null | no |  |  | seed تصادفی که هنگام حذف‌شدن، به‌طور خودکار انتخاب می‌شود. |

File parameters (`image`, `images`, `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",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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/edit?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/edit?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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 red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ideogram/v4.5/edit", 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/edit",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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/edit",
  "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 red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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 | مقدار سید استفاده‌شده برای تولید عدد تصادفی. |

## Related models

- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image
- [Ideogram Upscale](https://doitong.com/developers/models/ideogram/upscale.md) (`ideogram/upscale`): $0.06 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image

## Links

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