# Topaz Upscale Image Generative API

> أداة توليدية لرفع دقة الصور مع نماذج متعددة وتحسين للوجه ووضع Redefine الموجَّه بالمطالبة

ترفع دقة الصورة من 1x إلى 4x مع اختيار `model`، بما في ذلك Wonder 3.5 وWonder 3 وRecover 3 وRedefine وRecovery V2. لتحسين الوجه منزلقان مستقلان للشدة والإبداع. يضيف Redefine مطالبة `prompt` تصل إلى 1024 حرفًا، بالإضافة إلى `creativity` و`texture` و`sharpen` و`denoise`. مناسب للمصادر الصغيرة أو الضبابية.

- Model id: `topaz/upscale/image/generative`
- Made by: Topaz Labs
- Category: Upscale
- Output: image
- Price per megapixel of your output image: from $0.01 / megapixel of output image (cheapest run $0.01 (10 API credits))
- Run: `POST https://api.doitong.com/v1/run/topaz/upscale/image/generative`
- Quote: `POST https://api.doitong.com/v1/quote/topaz/upscale/image/generative`
- Docs page: https://doitong.com/ar/developers/models/topaz/upscale/image/generative

## Pricing

Price: **from $0.01 / megapixel of output image** (the lowest tier; the quote prices your exact input). Price per megapixel of your output image: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.08 = 80 API credits (8 MP output image × $0.01).

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/topaz/upscale/image/generative` 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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  | ≥ 1 characters | عنوان URL لصورة المصدر لرفع الدقة. |
| `model` |  | enum (string) | no | `Wonder 3` | `Wonder 3.5`, `Wonder 3`, `Wonder 2`, `Wonder`, `Recover 3`, `Standard MAX`, `Redefine`, `Recovery V2`, `Recovery` | اختيار نموذج رفع الدقة التوليدي: يعيد Recovery وRecovery V2 بناء الصور شديدة الانخفاض في الدقة؛ ويستخدم Redefine الموجّهات لتوجيه التفاصيل الإبداعية؛ ويفضّل Standard MAX الدقة والجودة العالية؛ ويعيد Recover 3 بناء التفاصيل الطبيعية. ضمن عائلة Wonder، يأتي Wonder وWonder 2 قبل Wonder 3، وهو نموذج الواقعية التوليدية الأكثر تقدمًا؛ أما الإصدار الأحدث Wonder 3.5 فيوفر تفاصيل أدق مع تكرار أنماط أقل. |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | مضاعف تكبير الصورة؛ فمثلًا تضاعف 2.0 كلا البعدين. |
| `crop_to_fill` |  | boolean | no | `false` |  |  |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | التنسيق المستخدم للصورة المرفوعة الدقة. |
| `subject_detection` |  | enum (string) | no | `All` | `All`, `Foreground`, `Background` | يتحكم في كيفية اكتشاف العناصر عند تحسين الصور باستخدام Recovery V2 أو Wonder 3 أو Recovery. |
| `face_enhancement` |  | boolean | no | `true` |  | مفتاح تحسين الوجه للصورة. |
| `face_enhancement_creativity` |  | number | no | `0` | 0 – 1 | يتحكم في إبداع تحسين الوجه، ويكون فعالًا فقط عند تمكين تحسين الوجه: عيّن 1.0 لأقصى إبداع أو 0.0 لعدم الإبداع. |
| `face_enhancement_strength` |  | number | no | `0.8` | 0 – 1 | يتحكم في قوة تحسين الوجه، ويكون فعالًا فقط عند تمكين تحسين الوجه: عيّن 1.0 لأقصى تحسين أو 0.0 لعدم التحسين. |
| `enhancement_strength` |  | enum (string) \| null | no |  | `low`, `medium`, `high` | قوة تحسين رفع الدقة التوليدي، وتُهيَّأ تلقائيًا عند تركها غير محددة؛ وتدعمها النماذج Wonder 3.5 وWonder 3. |
| `creativity` |  | integer \| null | no |  | 1 – 6 | إبداع رفع الدقة التوليدي من 1 إلى 6، ويدعمه Redefine فقط. تؤدي زيادته إلى إضافة تفاصيل أكثر تخيلًا أو هلوسة. |
| `texture` |  | integer \| null | no |  | 1 – 5 | يتحكم في تفاصيل الخامة، وهو حصري لرفع الدقة التوليدي في Redefine، ويقبل مستويات من 1 إلى 5. |
| `prompt` |  | string \| null | no |  | ≤ 1024 characters | نص إرشادي لرفع الدقة التوليدي، بحد أقصى 1024 حرفًا، ويدعمه Redefine فقط. |
| `autoprompt` |  | boolean \| null | no |  |  | مفتاح توليد الموجّه تلقائيًا، وهو متاح حصريًا ضمن رفع الدقة التوليدي في Redefine. |
| `sharpen` |  | number \| null | no |  | 0 – 1 | شدة زيادة الحدة من 0.0 إلى 1.0، ويدعمها Redefine فقط. |
| `denoise` |  | number \| null | no |  | 0 – 1 | شدة إزالة التشويش من 0.0 إلى 1.0، ويدعمها Redefine فقط. |
| `detail` |  | number \| null | no |  | 0 – 1 | شدة استعادة التفاصيل من 0.0 إلى 1.0، وتدعمها Recovery V2 فقط. |
| `enable_safety_checker` |  | boolean | no | `true` |  | يمكن تخفيف الفحص بضبط القيمة على false، شريطة أن يكون المستدعي مخولًا بذلك. |

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

A fuller example:

```json
{
  "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.com/v1/run/topaz/upscale/image/generative?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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.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/topaz/upscale/image/generative?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "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/topaz/upscale/image/generative", 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": "topaz/upscale/image/generative",
      "input": {
        "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": "topaz/upscale/image/generative",
  "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": 80,
    "usd": "0.08",
    "charged": 80,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "image": {
      "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
    }
  },
  "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 |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size} | الصورة الناتجة عن التكبير. |

## Related models

- [Topaz Image Upscale](https://doitong.com/developers/models/topaz/upscale/image/precision.md) (`topaz/upscale/image/precision`): $0.08 / 24 megapixels of output image
- [Topaz Upscale Image Creative](https://doitong.com/developers/models/topaz/upscale/image/creative.md) (`topaz/upscale/image/creative`): $0.08 / 2 megapixels of output image
- [Topaz Upscale Image Transparent](https://doitong.com/developers/models/topaz/upscale/image/transparent.md) (`topaz/upscale/image/transparent`): $0.08 / 24 megapixels of output image
- [Topaz Video Upscale](https://doitong.com/developers/models/topaz/upscale/video/precision.md) (`topaz/upscale/video/precision`): from $0.00667 / second of input video
- [Topaz Upscale Video Creative](https://doitong.com/developers/models/topaz/upscale/video/creative.md) (`topaz/upscale/video/creative`): from $0.30 / second of input video
- [Topaz Upscale Video Generative](https://doitong.com/developers/models/topaz/upscale/video/generative.md) (`topaz/upscale/video/generative`): from $0.06 / second of input video
- [AuraSR](https://doitong.com/developers/models/aura-sr.md) (`aura-sr`): $0.001111 / second of processing time
- [Bria Increase Resolution](https://doitong.com/developers/models/bria/increase-resolution.md) (`bria/increase-resolution`): $0.04 / image

## Links

- HTML page: https://doitong.com/developers/models/topaz/upscale/image/generative
- 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=topaz/upscale/image/generative
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/topaz/upscale/image/generative