# Topaz Upscale Video Generative API

> منتخب کیے جا سکنے والے Starlight ماڈلز والا تخلیقی ویڈیو اپ سکیلر، کمپریسڈ یا آرکائیوی فوٹیج کے لیے موزوں

ڈفیوژن پر مبنی Starlight ماڈلز کے ذریعے ویڈیو بہتر اور اپ سکیل کرتا ہے، جنہیں `model` کے ذریعے منتخب کیا جاتا ہے: Precise 2.6، HQ، Mini، Sharp یا Fast 2۔ `upscale_factor` کی حد 1 سے 4 ہے، اور `target_fps` (16-60) ماخذ سے مختلف ہونے پر فریم انٹرپولیشن فعال کرتا ہے۔ `softness` (1-5) صرف Starlight Precise 2.6 پر لاگو ہوتا ہے۔ آؤٹ پٹ کوڈیک H265 ہے، یا درخواست پر H264۔

- Model id: `topaz/upscale/video/generative`
- Made by: Topaz Labs
- Category: Upscale
- Output: video
- Price per second of your input video: from $0.06 / second of input video (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.ru/v1/run/topaz/upscale/video/generative`
- Quote: `POST https://api.doitong.ru/v1/quote/topaz/upscale/video/generative`
- Docs page: https://doitong.com/ur/developers/models/topaz/upscale/video/generative

## Pricing

Price: **from $0.06 / 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:

- Starlight Fast 2, up to 1080p: $0.06 / second of input video
- up to 1080p: $0.12 / second of input video
- Starlight Fast 2, up to 1080p, frame rate: $0.12 / second of input video
- Starlight Fast 2, 4K: $0.13 / second of input video
- Starlight Fast 2, above 4K: $0.2311 / second of input video
- up to 1080p, frame rate: $0.24 / second of input video
- 4K: $0.255 / second of input video
- Starlight Fast 2, 4K, frame rate: $0.26 / second of input video
- above 4K: $0.4533 / second of input video
- Starlight Fast 2, above 4K, frame rate: $0.4622 / second of input video
- 4K, frame rate: $0.51 / second of input video
- above 4K, frame rate: $0.9067 / second of input video

The full example input below costs $2.60 = 2600 API credits (10 s input video × $0.255 (4K), rounded up to the next $0.10).

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/topaz/upscale/video/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 |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | اپ اسکیلنگ کے لیے ماخذ ویڈیو کا URL۔ |
| `model` |  | enum (string) | no | `Starlight Precise 2.6` | `Starlight Precise 2.6`, `Starlight HQ`, `Starlight Mini`, `Starlight Sharp`, `Starlight Fast 2` | ویڈیو enhancement کے لیے generative diffusion ماڈل کا انتخاب۔ archival restoration کے لیے Starlight Mini؛ تیز restoration اور واضح تفصیل کے لیے Starlight Sharp؛ high-resolution footage سے زیادہ سے زیادہ کوالٹی کے لیے Starlight HQ؛ اور زیادہ حقیقت پسندانہ AI سے تخلیق کردہ ویڈیو کے لیے Starlight Precise 2.6۔ diffusion upscalers میں Starlight Fast 2 سب سے تیز اور سستا ہے۔ |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | ویڈیو scaling multiplier؛ 2.0 کی قدر دونوں فریم ابعاد کو دگنا کرتی 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۔ |
| `softness` |  | number \| null | no |  | 1 – 5 | صرف Starlight Precise 2.6 میں دستیاب softness سیٹنگ، نہ بتانے پر ڈیفالٹ استعمال ہوتی ہے۔ سب سے واضح آؤٹ پٹ کے لیے 1 اور سب سے نرم کے لیے 5 منتخب کریں۔ |
| `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.ru/v1/run/topaz/upscale/video/generative?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.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/topaz/upscale/video/generative?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.ru/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/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.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": "topaz/upscale/video/generative",
      "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/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": 2600,
    "usd": "2.60",
    "charged": 2600,
    "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/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 Creative](https://doitong.com/developers/models/topaz/upscale/video/creative.md) (`topaz/upscale/video/creative`): from $0.30 / 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/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/video/generative
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/topaz/upscale/video/generative