# Topaz Image Upscale API

> Topaz Labs-i ᡠᠯᡤᡳᠶᡝ ᡥᡠᠯᠠᠨᡳ ᠶᠠᠪᡠᠮᠪᡳ᠄ ᠨᡳᠶᠠᠯᠮᠠ ᡝᠮᡤᡳᠯᡝᠮᡝ᠂ ᡠᠯᡤᡳᠶᡝ ᠮᡠᡵᡠᠨ ᡝᠮᡤᡳᠯᡝᠮᡝ ᠵᡠᠰᡨᠠᠨ ᡩᠠᠯᠵᡳᠯᠠᠮᡝ᠂ ᡝᠮᡠ ᡩᡝ ᡝᠯᡳᠮᡝ᠂ ᡠᠮᡝ 4x ᡩᡝ ᡤᠠᠯᡳᠮᡝᠮᠪᡳ᠉

ᡳᠯᡳᠨ ᡝᠮᡠ ᡩᡝ ᡥᠠᠨᠵᡳᠨ ᡩᡝ ᡩᡠᠪᡝᠯᡝᠮᡝ ᠵᡠᠰᡨᠠᠨ ᡩᡠᠯᡳᠮᡝᠮᠪᡳ᠄ Topaz-i ᠮᡠᠯᡤᡳᠶᡝ ᡝᠮᡠᠯᡝᠩᡤᡝ ᡳᠯᡳᠨᡩᡝ ᡝᠯᡝᠮᡝᠨᡳ ᡝᠮᡤᡳᠯᡝᠮᡝ᠂ ᡤᡝᠯᡳ ᡳᠯᡳᠨ᠂ ᡳᠯᡳᠨᡳ ᡝᠯᡤᡳᠶᡝᠨ᠂ ᡩᠠᠯᠵᡳᠯᠠᠮᡝ ᡝᠯᡝᠮᡝᠨᡳ ᡳᠯᡳᠨ᠂ CGI᠂ ᡥᡡᠯᠠᠨ ᠮᡝᡳᡥᡝ ᡤᡝᠰᡝᠯᡝᠨ ᠮᡠᠯᡤᡳᠶᡝ ᡳᠯᡳᠨ ᠵᡝᠯᡳᠨ ᠨᠠᡩᠠᠮᡝᠮᠪᡳ᠉ ᠰᡠᠯᡩᡝᠮᡝ ᠵᡠᠰᡨᠠᠨ ᡝᠮᡤᡳᠯᡝᠮᡝ᠂ ᡩᠠᠯᠵᡳᠯᠠᠮᡝ᠂ ᡝᠯᡳᠮᡝ ᠵᡠᠰᡨᠠᠨ ᡩᠠᠯᡤᠠᠨᠠᠮᡝ ᠪᠠᠶᠠᡩᠠᠮᡝᠮᠪᡳ᠉ JPEG ᠶᠠᠪᡠᠨ PNG ᠠᠨᡳᠶᠠ ᡩᡝ ᡤᠠᠯᡳᠮᠪᡳ᠉

- Model id: `topaz/upscale/image/precision`
- Made by: Topaz Labs
- Category: Upscale
- Output: image
- Price per 24 megapixels of your output image: $0.08 / 24 megapixels of output image (cheapest run $0.08 (80 API credits))
- Run: `POST https://api.doitong.com/v1/run/topaz/upscale/image/precision`
- Quote: `POST https://api.doitong.com/v1/quote/topaz/upscale/image/precision`
- Docs page: https://doitong.com/mnc/developers/models/topaz/upscale/image/precision

## Pricing

Price: **$0.08 / 24 megapixels of output image**. Price per 24 megapixels 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 (1 × 24 MP output image × $0.08).

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/precision` 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 | `Standard V2` | `Standard V2`, `High Fidelity V3`, `High Fidelity V2`, `Low Resolution V2`, `CGI`, `Text Refine`, `Faces` | ᠵᡝᠪᡝᠯᡝᠨ ᡳ ᠵᠠᠯᠠᠨ ᠮᠣᡩᡝᠯ ᠰᠣᠩᡤᠣᠯᠣᠮᠪᡳ: Faces ᠨᡳ Face Recovery 3 ᡩᡝ ᠨᠠᠮᡠ ᠰᠠᠯᡤᠠᠮᡝ, Text Refine ᠪᠢᠴᡳᡥᡝ ᠪᡝ ᠵᡝᠪᡝᠯᡝᠨ ᠪᡠᠮᡝ, CGI ᠪᡝ ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠰᠠᡳᠨ. ᠠᠨᡳᠶᠠᠨ ᡩᡝ Standard V2, High Fidelity V3 ᠪᡝ High Fidelity V2, Low Resolution V2 ᠪᡝ ᠰᠣᠩᡤᠣᠯᠣᠮᡝ. |
| `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` | ᠤᠮᡝᠰᡳ ᠠᠮᡝᠯᡝᠮᡝ ᡩᡝ ᠮᡠᠶᠠᡥᠠ ᠰᠣᠩᡤᠣᠯᡥᠣ ᠠᡵᡤᠠ. |
| `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. |
| `sharpen` |  | number \| null | no |  | 0 – 1 | ᠵᠠᠯᠠᠨ ᡳ ᠰᠠᡳᠨ ᠵᠠᠯᠠᠨ 0.0 ᡩᡝᡵᡳ 1.0; ᠮᠣᡩᡝᠯ ᡳ ᠵᡠᠯᡝ ᠪᡳ. |
| `denoise` |  | number \| null | no |  | 0 – 1 | ᠮᡠᠨᡩᠠᠯᠠᠮᡝ ᡳ ᠵᠠᠯᠠᠨ 0.0 ᡩᡝᡵᡳ 1.0; ᠮᠣᡩᡝᠯ ᡳ ᠵᡠᠯᡝ ᠪᡳ. |
| `fix_compression` |  | number \| null | no |  | 0 – 1 | ᠵᡠᠮᡝᠨ ᠠᠷᡤᠠ ᡳ ᠪᡠᠮᡝᠯᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ 0.0 ᡩᡝᡵᡳ 1.0; CGI ᡩᡝ ᠠᡴᡡ. |
| `strength` |  | number \| null | no |  | 0.01 – 1 | ᠠᠮᡝᠯᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ 0.01 ᡩᡝᡵᡳ 1.0; Text Refine ᡩᡝ ᡝᠮᡠ ᠪᡳ. |

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": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "upscale_factor": 2
}
```

## 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/precision?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "upscale_factor": 2
  }'

# 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/precision?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "upscale_factor": 2
  }),
});
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": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "upscale_factor": 2,
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/topaz/upscale/image/precision", 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/precision",
      "input": {
        "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "upscale_factor": 2
      },
      "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/precision",
  "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": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "upscale_factor": 2
  },
  "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} | ᠣᠯᠠᠨᠮᡝ ᠪᡠᠶᡝᠮᡝᡵᡝ ᡤᠠᠳᠠᠨ. |

## Related models

- [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
- [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/precision
- 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/precision
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/topaz/upscale/image/precision