# Topaz Upscale Image Generative API

> Ģeneratīvs attēlu mērogotājs ar daudziem modeļiem, sejas uzlabošanu un ar uzvedni vadāmu Redefine režīmu

Palielina attēlu no 1x līdz 4x ar `model` izvēli, tostarp Wonder 3.5, Wonder 3, Recover 3, Redefine un Recovery V2. Sejas uzlabošanai ir atsevišķi intensitātes un radošuma slīdņi. Redefine pievieno līdz 1024 rakstzīmju `prompt`, kā arī `creativity`, `texture`, `sharpen` un `denoise`. Piemērots maziem vai izplūdušiem avotiem.

- 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/lv/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 | Avota attēla URL izšķirtspējas palielināšanai. |
| `model` |  | enum (string) | no | `Wonder 3` | `Wonder 3.5`, `Wonder 3`, `Wonder 2`, `Wonder`, `Recover 3`, `Standard MAX`, `Redefine`, `Recovery V2`, `Recovery` | Ģeneratīvās izšķirtspējas palielināšanas modeļa izvēle: Recovery un Recovery V2 rekonstruē ļoti zemas izšķirtspējas attēlus; Redefine izmanto uzvednes radošu detaļu vadīšanai; Standard MAX dod priekšroku precizitātei un augstai kvalitātei; Recover 3 rekonstruē dabiskas detaļas. Wonder saimē Wonder un Wonder 2 ir pirms Wonder 3 — vismodernākā ģeneratīvā reālisma modeļa; jaunākais laidiens Wonder 3.5 nodrošina smalkākas detaļas ar mazāku rakstu atkārtošanos. |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | Attēla palielināšanas reizinātājs; piemēram, 2.0 dubulto abus izmērus. |
| `crop_to_fill` |  | boolean | no | `false` |  |  |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Izmēra palielinātajam attēlam izmantotais formāts. |
| `subject_detection` |  | enum (string) | no | `All` | `All`, `Foreground`, `Background` | Nosaka, kā tiek noteikti objekti, uzlabojot attēlus ar Recovery V2, Wonder 3 vai Recovery. |
| `face_enhancement` |  | boolean | no | `true` |  | Attēla sejas uzlabošanas slēdzis. |
| `face_enhancement_creativity` |  | number | no | `0` | 0 – 1 | Sejas uzlabošanas radošuma vadīkla, aktīva tikai tad, ja sejas uzlabošana ir iespējota: iestatiet 1.0 maksimālam radošumam vai 0.0 tā neesamībai. |
| `face_enhancement_strength` |  | number | no | `0.8` | 0 – 1 | Sejas uzlabošanas stipruma vadīkla, aktīva tikai tad, ja sejas uzlabošana ir iespējota: iestatiet 1.0 maksimālai uzlabošanai vai 0.0 tās neesamībai. |
| `enhancement_strength` |  | enum (string) \| null | no |  | `low`, `medium`, `high` | Ģeneratīvās izšķirtspējas palielināšanas uzlabošanas stiprums; ja nav norādīts, tas tiek konfigurēts automātiski. Atbalstītie modeļi ir Wonder 3.5 un Wonder 3. |
| `creativity` |  | integer \| null | no |  | 1 – 6 | Ģeneratīvās izšķirtspējas palielināšanas radošums no 1 līdz 6, ko atbalsta tikai Redefine. Palielināšana pievieno iztēles bagātākas vai halucinētas detaļas. |
| `texture` |  | integer \| null | no |  | 1 – 5 | Tekstūras detaļu vadīkla, kas paredzēta tikai Redefine ģeneratīvajai izšķirtspējas palielināšanai; pieņem līmeņus no 1 līdz 5. |
| `prompt` |  | string \| null | no |  | ≤ 1024 characters | Vadlīniju teksts ģeneratīvai izšķirtspējas palielināšanai, ierobežots līdz 1024 rakstzīmēm un pieejams tikai Redefine. |
| `autoprompt` |  | boolean \| null | no |  |  | Automātiskas uzvednes ģenerēšanas slēdzis, kas pieejams tikai Redefine ģeneratīvajā izšķirtspējas palielināšanā. |
| `sharpen` |  | number \| null | no |  | 0 – 1 | Asuma palielināšanas intensitāte no 0.0 līdz 1.0, ko atbalsta tikai Redefine. |
| `denoise` |  | number \| null | no |  | 0 – 1 | Trokšņu samazināšanas intensitāte no 0.0 līdz 1.0, ko atbalsta tikai Redefine. |
| `detail` |  | number \| null | no |  | 0 – 1 | Detaļu atjaunošanas intensitāte no 0.0 līdz 1.0, ko atbalsta tikai Recovery V2. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Pārbaudi var atslābināt, iestatot false, ja izsaucējam ir atļauja. |

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} | Palielināšanas rezultātā iegūtais attēls. |

## 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