# Clarity Upscaler API

> 창의성 및 유사도 제어를 제공하고 1x~4x로 확대하는 Diffusion 이미지 업스케일러

이미지를 1~4배로 업스케일합니다. `creativity`(0~1)는 모델이 새로 만들어낼 수 있는 디테일의 양을 정하고, `resemblance`(0~1)는 원본과 가깝게 유지하도록 합니다. `prompt`와 `negative_prompt`가 추가 디테일을 안내합니다. `guidance_scale`, `num_inference_steps`(4~50) 및 seed를 조정할 수 있습니다.

- Model id: `clarity-upscaler`
- Made by: Clarity AI
- Category: Upscale
- Output: image
- Price per megapixel of your output image: $0.03 / megapixel of output image (cheapest run $0.03 (30 API credits))
- Run: `POST https://api.doitong.com/v1/run/clarity-upscaler`
- Quote: `POST https://api.doitong.com/v1/quote/clarity-upscaler`
- Docs page: https://doitong.com/ko/developers/models/clarity-upscaler

## Pricing

Price: **$0.03 / megapixel of output image**. 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 $0.126 = 126 API credits (4.1943 MP output image × $0.03).

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/clarity-upscaler` 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 |  |  | 업스케일링할 원본 이미지를 가리키는 URL입니다. |
| `prompt` |  | string | no | `masterpiece, best quality, highres` |  | 생성하려는 이미지를 최대한 자세히 설명하세요. 최상의 결과를 얻는 데 도움이 됩니다. |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | 업스케일링에 사용되는 배수입니다. |
| `negative_prompt` |  | string | no | `(worst quality, low quality, normal quality:2)` |  | 이미지에서 제외할 세부 정보를 지정하는 네거티브 프롬프트입니다. |
| `creativity` |  | number | no | `0.35` | 0 – 1 | 샘플링 디노이즈 강도로 제어되는 모델의 창의성입니다. 값이 높을수록 프롬프트에서 더 크게 벗어날 수 있습니다. |
| `resemblance` |  | number | no | `0.6` | 0 – 1 | ControlNet 강도로 제어되는 업스케일 결과와 원본의 유사도입니다. 값이 높을수록 모델이 원본 이미지를 더 많이 보존합니다. |
| `guidance_scale` |  | number | no | `4` | 0 – 20 | 이미지 선택 시 프롬프트 준수 강도이며 CFG(Classifier Free Guidance)로 표현합니다. |
| `num_inference_steps` |  | integer | no | `18` | 4 – 50 | 실행할 추론 단계 수입니다. |
| `seed` |  | integer \| null | no |  | ≥ 0 | Stable Diffusion에서 이미지를 재현하기 위한 시드입니다. 모델 버전, 프롬프트, 시드를 변경하지 않으면 매번 이미지를 정확히 재현할 수 있습니다. |
| `enable_safety_checker` |  | boolean | no | `true` |  | 안전 검사 전환입니다. false로 설정하면 검사를 비활성화합니다. |

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/clarity-upscaler?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/clarity-upscaler?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/clarity-upscaler", 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": "clarity-upscaler",
      "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": "clarity-upscaler",
  "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": 126,
    "usd": "0.126",
    "charged": 126,
    "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,
      "width": 1024,
      "height": 768
    },
    "seed": 42,
    "timings": {}
  },
  "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, width, height} | 생성된 이미지를 가리키는 URL입니다. |
| `seed` | integer | 이미지 생성 중 사용되는 시드입니다. |
| `timings` | object | 개별 워크플로 단계의 타이밍 정보입니다. |

## 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 Video Upscale](https://doitong.com/developers/models/topaz/upscale/video/precision.md) (`topaz/upscale/video/precision`): from $0.00667 / second of input video
- [Crystal Upscaler](https://doitong.com/developers/models/clarityai/crystal-upscaler.md) (`clarityai/crystal-upscaler`): $0.016 / megapixel of output image
- [Crystal Upscaler \[Video\]](https://doitong.com/developers/models/clarityai/crystal-video-upscaler.md) (`clarityai/crystal-video-upscaler`): from $0.10 / megapixel of output 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
- [Bytedance Upscaler Upscale Video](https://doitong.com/developers/models/bytedance-upscaler/upscale/video.md) (`bytedance-upscaler/upscale/video`): from $0.0072 / second of input video
- [Chrono Edit Lora Gallery · Upscaler](https://doitong.com/developers/models/chrono-edit-lora-gallery/upscaler.md) (`chrono-edit-lora-gallery/upscaler`): $0.03 / image

## Links

- HTML page: https://doitong.com/developers/models/clarity-upscaler
- 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=clarity-upscaler
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/clarity-upscaler