# Topaz Upscale Video Creative API

> تخلیقی ویڈیو اپ سکیلر جو باریک نئی تفصیل تخلیق کرتا ہے، پرامپٹ اور تخلیقیت و حقیقت پسندی کے کنٹرولز کے ساتھ

ویڈیو کو ایسے ماڈل کے ذریعے اپ اسکیل کرتا ہے جو صرف شارپن کرنے کے بجائے تفصیل کو نئے انداز میں تشکیل دیتا ہے۔ `creativity` (0-1) شامل کی جانے والی نئی ساخت کی مقدار طے کرتا ہے، `realism` اسے فوٹو ریئلزم کی طرف مائل کرتا ہے، اور `sharp` آؤٹ پٹ کی شارپنس ایڈجسٹ کرتا ہے۔ زیادہ سے زیادہ 1024 حروف کا اختیاری `prompt` تفصیل کی رہنمائی کرتا ہے، اور اس کے بعد ان پٹ 450 فریمز تک محدود ہوتا ہے۔ مطلوبہ `upscale_factor` (1-4) کو ماڈل کے معاون آؤٹ پٹ سائزز اوور رائڈ کر سکتے ہیں۔

- Model id: `topaz/upscale/video/creative`
- Made by: Topaz Labs
- Category: Upscale
- Output: video
- Price per second of your input video: from $0.30 / second of input video (cheapest run $0.30 (300 API credits))
- Run: `POST https://api.doitong.com/v1/run/topaz/upscale/video/creative`
- Quote: `POST https://api.doitong.com/v1/quote/topaz/upscale/video/creative`
- Docs page: https://doitong.com/ur/developers/models/topaz/upscale/video/creative

## Pricing

Price: **from $0.30 / second of input video** (the lowest tier; the quote prices your exact input). Price per second of your input video: 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.

Price by tier:

- up to 1080p: $0.30 / second of input video
- 4K: $0.50 / second of input video
- up to 1080p, frame rate: $0.60 / second of input video
- above 4K: $0.8889 / second of input video
- 4K, frame rate: $1.00 / second of input video
- above 4K, frame rate: $1.7778 / second of input video

The full example input below costs $5.00 = 5000 API credits (10 s input video × $0.50 (4K)).

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/video/creative` 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 |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | اپ اسکیلنگ کے لیے ماخذ ویڈیو کا URL۔ |
| `prompt` |  | string \| null | no |  | ≤ 1024 characters | Astra 2 کے لیے اختیاری detail guidance، صرف زیادہ سے زیادہ 450 فریم والی ان پٹ ویڈیوز کے لیے دستیاب۔ تخلیق ہونے والی تفصیل کی سمت متعین کرنے کے لیے متن فراہم کریں۔ |
| `creativity` |  | number | no | `0.5` | 0 – 1 | ٹیکسچر اور تفصیل شامل کرتے وقت Astra 2 کی تخلیقی صلاحیت؛ 1.0 پر زیادہ سے زیادہ ایجاد اور 0.0 پر اصل کے ساتھ زیادہ سے زیادہ وفاداری ہوتی ہے۔ |
| `realism` |  | number \| null | no |  | 0 – 1 | تخلیق کردہ تفصیل کے لیے photorealism bias، 0.0 سے 1.0 تک۔ |
| `sharp` |  | number \| null | no |  | 0 – 1 | شارپنس کی ایڈجسٹمنٹ، غیر جانب دار passthrough ڈیفالٹ 0.5 کے ساتھ۔ نرم آؤٹ پٹ کے لیے 0.0 اور مضبوط شارپننگ کے لیے 1.0 استعمال کریں۔ |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | درخواست کردہ scaling factor، Astra 2 کے سپورٹ شدہ آؤٹ پٹ ریزولوشن کے انتخاب کے تابع، عموماً اپ اسکیلنگ کے لیے 4K۔ 2.0 کی قدر چوڑائی اور اونچائی دونوں کو دگنا کرنے کی درخواست کرتی ہے، مگر ماڈل اس ہدف کو تبدیل کر سکتا ہے۔ |
| `target_fps` |  | integer \| null | no |  | 16 – 60 | ہدف آؤٹ پٹ فریم ریٹ؛ ماخذ FPS سے مماثلت interpolation کو غیر فعال رکھتی ہے، اور صرف مختلف FPS اسے فعال کرتا ہے۔ |
| `H264_output` |  | boolean | no | `false` |  | کنٹرول کرتا ہے کہ آؤٹ پٹ ویڈیو ڈیفالٹ H265 کے بجائے H264 انکوڈنگ استعمال کرے۔ |

File parameters (`video`) 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
{
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## 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/video/creative?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }'

# 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/video/creative?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
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 = {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/topaz/upscale/video/creative", 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/video/creative",
      "input": {
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "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/video/creative",
  "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": 5000,
    "usd": "5.00",
    "charged": 5000,
    "refunded": 0
  },
  "input": {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | اپ اسکیلنگ سے تیار ہونے والی ویڈیو فائل۔ |

## Related models

- [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
- [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 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 Generative](https://doitong.com/developers/models/topaz/upscale/image/generative.md) (`topaz/upscale/image/generative`): from $0.01 / megapixel 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
- [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/video/creative
- 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/video/creative
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/topaz/upscale/video/creative