# Topaz Upscale Image Generative API

> ᠵᡠᠰᡠ ᠪᡝ ᠪᡳᠶᠠᠯᠠᠮᡝ ᠵᠠᠯᠠᠨ ᠣᠨᠠᠯᠠᠮᡝ ᠰᠠᠶᠠᠨᠠᠮᠪᡳ᠂ ᠵᡠᠰᡠ ᠵᡠᠯᡤᡝᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠰᡠᠯᡝᠮᡝ᠂ ᠨᡳᠶᠠᠯᠮᠠ ᠵᡠᠰᡠ ᠪᡝ ᠰᠠᠶᠠᠨᠠᠮᠪᡳ

ᠰᡠᠯᡝᠩᡤᡝ ᠪᡝ 1x ᡩᠣ 4x ᡩᡝ ᠵᠠᠯᠠᠨ ᠣᠨᠠᠯᠠᠮᠪᡳ᠂ `model` ᠵᡠᠰᡠ ᠪᡝ ᠰᠣᠩᡤᠣᠯᠣᠮᠪᡳ᠂ Wonder 3.5᠂ Wonder 3᠂ Recover 3᠂ Redefine ᠠᡳ Recovery V2 ᠪᡳ᠃ ᠨᡳᠶᠠᠯᠮᠠ ᠵᡠᠰᡠᠯᡝᠮᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠠᠮᠠᠯᠠᠮᡝ ᠪᡳᠶᠠᠯᠠᠮᠪᡳ᠃ Redefine `prompt` 1024 ᠵᡠᠰᡝᠨ ᡩᠣ ᠵᠠᠯᠠᠨᠠᠮᡝ᠂ `creativity`᠂ `texture`᠂ `sharpen` ᠠᡳ `denoise` ᠪᡝ ᠠᠰᠠᠮᠪᡳ᠃ ᠵᡝᠯᡤᡳᠶᡝᠨ ᠠᡳ ᠪᡠᠯᠠᠯᠠᠮᠠ ᠰᡠᠯᡝᠩᡤᡝ ᠪᡝ ᠰᠠᠶᠠᠨᠠᠮᡝ ᠠᠰᠠᠮᠪᡳ

- 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.ru/v1/run/topaz/upscale/image/generative`
- Quote: `POST https://api.doitong.ru/v1/quote/topaz/upscale/image/generative`
- Docs page: https://doitong.com/mnc/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.ru/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 | ᠶᠠᠯᡤᠠᠮᡝᠨᡳ ᡤᠠᠳᠠᠨᡳ URL |
| `model` |  | enum (string) | no | `Wonder 3` | `Wonder 3.5`, `Wonder 3`, `Wonder 2`, `Wonder`, `Recover 3`, `Standard MAX`, `Redefine`, `Recovery V2`, `Recovery` | ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᠮᠣᡩᡝᠯ ᠰᠣᠩᡤᠣᠯᠣᠮᠪᡳ: Recovery ᠪᡝ Recovery V2 ᡩᡠᠯᡝᠮᡝ ᠠᠮᠪᠠᠨ ᠪᡠᠮᡝ ᠵᠠᠯᠠᠨ ᡤᠠᠳᠠᠨ ᠰᠠᠯᡤᠠᠮᡝ; Redefine ᡥᡡᠯᠠᠨ ᡳ ᠠᡵᡤᠠ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ; Standard MAX ᠨᠠᠩᡤᡳ ᠵᡝᠪᡝᠯᡝᠨ ᠪᡝ ᠰᠠᡳᠨ; Recover 3 ᠰᠠᠶᠠᠨ ᠵᠠᠯᠠᠨ ᠰᠠᠯᡤᠠᠮᡝ. Wonder ᡠᠰᡳᡥᠠᠨ ᡩᡝ Wonder, Wonder 2 ᡳᠨᡠ ᠪᡝ Wonder 3 ᡩᡝ ᡝᠮᡠᠨᠵᡝᠮᡝ; ᡤᡳᠰᡠᡵᡝᡥᡝ Wonder 3.5 ᠨᠠᠩᡤᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ ᠠᠯᡳᠨ ᠵᠠᡥᠠ. |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | ᡤᠠᠳᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᠣᠯᡥᠣ ᠲᠣᠭᠣᠨ; ᡳᠯᡤᠠᠨ ᠪᠣᠯᡥᠣ 2.0 ᡝᠮᡠ ᠵᠠᠯᠠᠨ ᡳ ᡳᠨᡠ ᡥᠠᠨᠵᡳᠮᡝ. |
| `crop_to_fill` |  | boolean | no | `false` |  |  |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᡠᠶᡠᠨ. |
| `subject_detection` |  | enum (string) | no | `All` | `All`, `Foreground`, `Background` | Recovery V2, Wonder 3 ᠠᠮᡝ Recovery ᡩᡝ ᠠᠨᡳᠶᠠᠨ ᡳ ᠠᠴᠠᠨ ᠠᠮᡝᠯᡝᠮᡝ ᡝᡵᡝᠮᡝ ᠮᡠᠶᠠᡥᠠ ᠪᡝ ᠵᠠᠯᠠᠨᠮᡝ. |
| `face_enhancement` |  | boolean | no | `true` |  | ᠠᠨᡳᠶᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠮᡠᠶᠠᡥᠠ ᡳ ᠠᠮᡝᠯᡝᠮᡝ ᠰᠣᠩᡤᠣᠯᠣᠮᡝ. |
| `face_enhancement_creativity` |  | number | no | `0` | 0 – 1 | ᠠᠨᡳᠶᠠᠨ ᡳ ᠮᡠᠶᠠᡥᠠ ᠠᠮᡝᠯᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ; ᠠᠮᡝᠯᡝᠮᡝ ᠪᡳᠮᠪᡳ ᡩᡝ ᡝᠮᡠ 1.0 ᠠᠮᠪᠠᠨ ᠪᡠᠶᡝᠮᡝ, 0.0 ᠣᠨᠣᠯᡥᠣ ᠠᡴᡡ. |
| `face_enhancement_strength` |  | number | no | `0.8` | 0 – 1 | ᠠᠨᡳᠶᠠᠨ ᡳ ᠮᡠᠶᠠᡥᠠ ᠠᠮᡝᠯᡝᠮᡝ ᡳ ᡥᡡᠯᡝᠨ; ᠠᠮᡝᠯᡝᠮᡝ ᠪᡳᠮᠪᡳ ᡩᡝ 1.0 ᠠᠮᠪᠠᠨ, 0.0 ᠣᠨᠣᠯᡥᠣ ᠠᡴᡡ. |
| `enhancement_strength` |  | enum (string) \| null | no |  | `low`, `medium`, `high` | ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᠠᠮᡝᠯᡝᠮᡝ ᡳ ᡥᡡᠯᡝᠨ; ᠪᡠᠮᡝ ᠠᡴᡡ ᠪᡳᠮᠪᡳ ᡩᡝ ᠵᠠᠮᠪᡳᠯᠠᠮᡝ. Wonder 3.5 ᠪᡝ Wonder 3 ᡝᠮᡠ ᠪᡳ. |
| `creativity` |  | integer \| null | no |  | 1 – 6 | Redefine ᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ 1 ᡩᡝᡵᡳ 6; ᡝᡵᡝ ᠵᠠᠯᠠᠨ ᡤᡝᠨᡝᡥᡝ ᡠᠯᡥᡳ ᠵᠠᠯᠠᠨ ᠠᠮᠪᠠᠨ ᠪᡠᠶᡝᠮᡝ. |
| `texture` |  | integer \| null | no |  | 1 – 5 | Redefine ᡳ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᡝᠮᡠ ᠵᠠᠯᠠᠨ 1 ᡩᡝᡵᡳ 5. |
| `prompt` |  | string \| null | no |  | ≤ 1024 characters | ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᡳ ᡥᡡᠯᠠᠨ; 1024 ᠮᡠᠰᡝ ᠪᡝ ᠰᠠᠨᠠᠮᡝ, Redefine ᡩᡝ ᡝᠮᡠ ᠪᡳ. |
| `autoprompt` |  | boolean \| null | no |  |  | Redefine ᡳ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠮᠪᡳᠯᠠᠮᡝ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ ᡳ ᠰᠣᠩᡤᠣᠯᠣᠮᡝ. |
| `sharpen` |  | number \| null | no |  | 0 – 1 | ᠵᠠᠯᠠᠨ ᡳ ᠰᠠᡳᠨ ᠵᠠᠯᠠᠨ 0.0 ᡩᡝᡵᡳ 1.0; Redefine ᡩᡝ ᡝᠮᡠ ᠪᡳ. |
| `denoise` |  | number \| null | no |  | 0 – 1 | ᠮᡠᠨᡩᠠᠯᠠᠮᡝ ᡳ ᠵᠠᠯᠠᠨ 0.0 ᡩᡝᡵᡳ 1.0; Redefine ᡩᡝ ᡝᠮᡠ ᠪᡳ. |
| `detail` |  | number \| null | no |  | 0 – 1 | ᠵᠠᠯᠠᠨ ᡳ ᡝᡵᡝᠮᡝ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ 0.0 ᡩᡝᡵᡳ 1.0; Recovery V2 ᡩᡝ ᡝᠮᡠ ᠪᡳ. |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠠᠰᡠᡵᠠᠮᡝ ᠠᠨᡩᠠ ᠪᡳᠮᡝ ᠰᠠᡳᠨ᠈ ᠵᡠᠴᡝᠨ ᠵᡠᠰᡝ ᠠᠰᡠᡵᠠᠮᡝ᠉ |

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.ru/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.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/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.ru/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.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/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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size} | ᠣᠯᠠᠨᠮᡝ ᠪᡠᠶᡝᠮᡝᡵᡝ ᡤᠠᠳᠠᠨ. |

## 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.ru/v1/models/topaz/upscale/image/generative