# Ideogram V4.5 Edit API

> Ideogram 4.5 کی پرامپٹ پر مبنی امیج ایڈیٹنگ، اختیاری ماسک، زیادہ سے زیادہ 4 ریفرنسز اور اعلیٰ درستگی موڈ کے ساتھ

زیادہ سے زیادہ 10,000 حروف کے پرامپٹ سے ماخذ امیج ایڈٹ کرتا ہے۔ اختیاری `mask_url` ایڈیٹ کا علاقہ محدود کرتا ہے، اور `reference_image_urls` زیادہ سے زیادہ 4 ریفرنسز قبول کرتا ہے۔ `edit_precision` high غیر تبدیل شدہ پکسلز بحال کرتا ہے، جبکہ `quality` کی حد very_low سے high تک ہے۔ فی کال زیادہ سے زیادہ 8 تصاویر بناتا ہے۔

- 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/ur/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 | تخلیق یا ترمیم کو بیان کرنے والا پرامپٹ۔ |
| `image_url` | `image` | string (image URL) | yes |  |  | ترمیم کے لیے مرکزی ماخذ تصویر۔ |
| `reference_image_urls` | `images` | array of image URL | no |  | ≤ 4 items | بنیادی ماخذ کے ساتھ دی جانے والی حوالہ تصاویر: ماسک کے بغیر زیادہ سے زیادہ چار، یا ماسک کے ساتھ تین۔ |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | ترمیم اور تحفظ کا ماسک: راؤنڈنگ کے بعد اس میں ترمیم کے لیے سیاہ علاقے اور تحفظ کے لیے سفید علاقے دونوں شامل ہونے چاہییں۔ اس کے ابعاد ماخذ کے برابر ہونے چاہییں۔ |
| `edit_precision` |  | enum (string) | no | `regular` | `regular`, `high` | ترمیم کی درستگی منتخب کریں؛ انتخاب سے قطع نظر ساختی ترمیمی ہدایات تیار کی جاتی ہیں۔ high کے ساتھ Precise Edit غیر تبدیل شدہ پکسلز بحال کرتا ہے؛ regular اس کے بجائے Generate استعمال کرتا ہے۔ |
| `quality` |  | enum (string) | no | `medium` | `very_low`, `low`, `medium`, `high` | ترمیم کی کسی بھی درستگی کی ترتیب کے ساتھ لاگو ہونے والی معیار کی سطح؛ medium ڈیفالٹ ہے۔ |
| `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` | آؤٹ پٹ سائز کا انتخاب: نامزد پری سیٹس اور کسٹم ابعاد صرف ماسک کے بغیر باقاعدہ ترمیم کے لیے دستیاب ہیں، جہاں ہر بعد >=256 اور 32 سے قابل تقسیم، رقبہ <=4194304 اور تناسب <=6:1 ہو۔ ماخذ کی جیومیٹری برقرار رکھنے کے لیے auto منتخب کریں؛ ضرورت پڑنے پر فراہم کنندہ ریزولوشن کم کر سکتا ہے۔ |
| `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۔ |

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 | random number تخلیق کے لیے استعمال ہونے والی seed value۔ |

## 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