# Topaz Upscale Image Generative API

> Generativer Bild-Upscaler mit vielen Modellen, Gesichtsverbesserung und Prompt-gesteuertem Redefine-Modus

Skaliert ein Bild mit 1x bis 4x hoch und bietet eine Auswahl für `model`, darunter Wonder 3.5, Wonder 3, Recover 3, Redefine und Recovery V2. Die Gesichtsverbesserung verfügt über eigene Regler für Stärke und Kreativität. Redefine fügt einen bis zu 1024 Zeichen langen `prompt` sowie `creativity`, `texture`, `sharpen` und `denoise` hinzu. Geeignet für kleine oder unscharfe Quellen.

- 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/de/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 | URL des Quellbilds zur Hochskalierung. |
| `model` |  | enum (string) | no | `Wonder 3` | `Wonder 3.5`, `Wonder 3`, `Wonder 2`, `Wonder`, `Recover 3`, `Standard MAX`, `Redefine`, `Recovery V2`, `Recovery` | Auswahl des generativen Hochskalierungsmodells: Recovery und Recovery V2 rekonstruieren Bilder mit extrem niedriger Auflösung; Redefine verwendet Prompts zur Steuerung kreativer Details; Standard MAX bevorzugt Präzision und hohe Qualität; Recover 3 rekonstruiert natürliche Details. Innerhalb der Wonder-Familie gehen Wonder und Wonder 2 Wonder 3 voraus, dem fortschrittlichsten generativen Realismusmodell; die neueste Version Wonder 3.5 liefert feinere Details mit weniger Musterwiederholungen. |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | Multiplikator zur Bildvergrößerung; 2.0 verdoppelt beispielsweise beide Dimensionen. |
| `crop_to_fill` |  | boolean | no | `false` |  |  |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Format des hochskalierten Bilds. |
| `subject_detection` |  | enum (string) | no | `All` | `All`, `Foreground`, `Background` | Steuert, wie Motive bei der Verbesserung von Bildern mit Recovery V2, Wonder 3 oder Recovery erkannt werden. |
| `face_enhancement` |  | boolean | no | `true` |  | Schalter zur Gesichtsverbesserung des Bilds. |
| `face_enhancement_creativity` |  | number | no | `0` | 0 – 1 | Kreativitätssteuerung für die Gesichtsverbesserung, nur bei aktivierter Gesichtsverbesserung wirksam: 1.0 für maximale Kreativität oder 0.0 für keine Kreativität. |
| `face_enhancement_strength` |  | number | no | `0.8` | 0 – 1 | Stärkesteuerung für die Gesichtsverbesserung, nur bei aktivierter Gesichtsverbesserung wirksam: 1.0 für maximale Verbesserung oder 0.0 für keine Verbesserung. |
| `enhancement_strength` |  | enum (string) \| null | no |  | `low`, `medium`, `high` | Stärke der generativen Hochskalierungsverbesserung, bei fehlender Angabe automatisch konfiguriert; unterstützt von Wonder 3.5 und Wonder 3. |
| `creativity` |  | integer \| null | no |  | 1 – 6 | Kreativität der generativen Hochskalierung von 1 bis 6, nur von Redefine unterstützt. Höhere Werte fügen fantasievollere oder halluzinierte Details hinzu. |
| `texture` |  | integer \| null | no |  | 1 – 5 | Steuerung der Texturdetails exklusiv für Redefines generative Hochskalierung, mit Werten von 1 bis 5. |
| `prompt` |  | string \| null | no |  | ≤ 1024 characters | Anleitungstext für die generative Hochskalierung, auf 1024 Zeichen begrenzt und nur von Redefine unterstützt. |
| `autoprompt` |  | boolean \| null | no |  |  | Schalter zur automatischen Prompt-Generierung, exklusiv innerhalb von Redefines generativer Hochskalierung verfügbar. |
| `sharpen` |  | number \| null | no |  | 0 – 1 | Schärfungsintensität von 0.0 bis 1.0, nur von Redefine unterstützt. |
| `denoise` |  | number \| null | no |  | 0 – 1 | Entrauschungsintensität von 0.0 bis 1.0, nur von Redefine unterstützt. |
| `detail` |  | number \| null | no |  | 0 – 1 | Intensität der Detailrekonstruktion von 0.0 bis 1.0, nur von Recovery V2 unterstützt. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Die Prüfung kann durch Setzen auf false gelockert werden, sofern der Aufrufer dazu berechtigt ist. |

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} | Durch Hochskalierung erzeugtes Bild. |

## 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