# Topaz Upscale Image Generative API

> Upscaler ġenerattiv ta' immaġnijiet b'ħafna mudelli, titjib tal-wiċċ u modalità Redefine iggwidata minn prompt

Ikabbar immaġni minn 1x sa 4x b'għażla ta' `model`, inkluż Wonder 3.5, Wonder 3, Recover 3, Redefine u Recovery V2. It-titjib tal-wiċċ għandu sliders separati għall-qawwa u l-kreattività. Redefine iżid `prompt` sa 1024 karattru flimkien ma' `creativity`, `texture`, `sharpen` u `denoise`. Adattat għal sorsi żgħar jew imċajpra.

- 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/mt/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 tal-immaġni tas-sors għall-upscaling. |
| `model` |  | enum (string) | no | `Wonder 3` | `Wonder 3.5`, `Wonder 3`, `Wonder 2`, `Wonder`, `Recover 3`, `Standard MAX`, `Redefine`, `Recovery V2`, `Recovery` | Għażla tal-mudell ġenerattiv tal-upscaling: Recovery u Recovery V2 jirrikostruwixxu immaġnijiet b'riżoluzzjoni estremament baxxa; Redefine juża prompts biex jiggwida d-dettall kreattiv; Standard MAX jagħti prijorità lill-preċiżjoni u lill-kwalità għolja; Recover 3 jirrikostruwixxi d-dettall naturali. Fi ħdan il-familja Wonder, Wonder u Wonder 2 jiġu qabel Wonder 3, l-aktar mudell avvanzat ta' realiżmu ġenerattiv; l-aktar rilaxx ġdid, Wonder 3.5, jipprovdi dettall ifjen b'inqas ripetizzjoni ta' mudelli. |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | Multiplikatur tat-tkabbir tal-immaġni; pereżempju, 2.0 jirdoppja ż-żewġ dimensjonijiet. |
| `crop_to_fill` |  | boolean | no | `false` |  |  |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Format użat għall-immaġni upscale. |
| `subject_detection` |  | enum (string) | no | `All` | `All`, `Foreground`, `Background` | Jikkontrolla kif jiġu identifikati s-suġġetti meta jittejbu l-immaġnijiet b'Recovery V2, Wonder 3 jew Recovery. |
| `face_enhancement` |  | boolean | no | `true` |  | Toggle għat-titjib tal-wiċċ tal-immaġni. |
| `face_enhancement_creativity` |  | number | no | `0` | 0 – 1 | Kontroll tal-kreattività tat-titjib tal-wiċċ, attiv biss meta t-titjib tal-wiċċ ikun attivat: issettja 1.0 għall-kreattività massima jew 0.0 għal xejn. |
| `face_enhancement_strength` |  | number | no | `0.8` | 0 – 1 | Kontroll tal-qawwa tat-titjib tal-wiċċ, attiv biss meta t-titjib tal-wiċċ ikun attivat: issettja 1.0 għat-titjib massimu jew 0.0 għal xejn. |
| `enhancement_strength` |  | enum (string) \| null | no |  | `low`, `medium`, `high` | Qawwa tat-titjib tal-upscaling ġenerattiv, ikkonfigurata awtomatikament jekk ma tiġix speċifikata; il-mudelli appoġġjati huma Wonder 3.5 u Wonder 3. |
| `creativity` |  | integer \| null | no |  | 1 – 6 | Kreattività tal-upscaling ġenerattiv minn 1 sa 6, appoġġjata biss minn Redefine. Iż-żieda tagħha żżid aktar dettall immaġinattiv jew alluċinat. |
| `texture` |  | integer \| null | no |  | 1 – 5 | Kontroll tad-dettall tan-nisġa esklussiv għall-upscaling ġenerattiv ta' Redefine, li jaċċetta livelli minn 1 sa 5. |
| `prompt` |  | string \| null | no |  | ≤ 1024 characters | Test ta' gwida għall-upscaling ġenerattiv, limitat għal 1024 karattru u appoġġjat biss minn Redefine. |
| `autoprompt` |  | boolean \| null | no |  |  | Toggle għall-ġenerazzjoni awtomatika tal-prompt disponibbli esklussivament fl-upscaling ġenerattiv ta' Redefine. |
| `sharpen` |  | number \| null | no |  | 0 – 1 | Intensità tas-sann minn 0.0 sa 1.0, appoġġjata biss minn Redefine. |
| `denoise` |  | number \| null | no |  | 0 – 1 | Intensità tad-denoising minn 0.0 sa 1.0, appoġġjata biss minn Redefine. |
| `detail` |  | number \| null | no |  | 0 – 1 | Intensità tal-irkupru tad-dettall minn 0.0 sa 1.0, appoġġjata biss minn Recovery V2. |
| `enable_safety_checker` |  | boolean | no | `true` |  | L-iskrinjar jista’ jiġi rilassat billi jiġi ssettjat għal false, sakemm min jagħmel it-talba jkun awtorizzat. |

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} | Immaġni prodotta bit-tkabbir. |

## 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