# Clarity Upscaler API

> Diffusionsbasierter Bild-Upscaler mit Steuerungen für Kreativität und Ähnlichkeit und einer Skalierung von 1x bis 4x

Skaliert ein Bild um den Faktor 1 bis 4 hoch. `creativity` (0 bis 1) legt fest, wie viele Details das Modell erfinden darf, während `resemblance` (0 bis 1) das Ergebnis näher am Original hält. Ein `prompt` und `negative_prompt` steuern die hinzugefügten Details. `guidance_scale`, `num_inference_steps` (4 bis 50) und ein Seed sind anpassbar.

- 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/de/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 |  |  | URL zum Quellbild für die Hochskalierung. |
| `prompt` |  | string | no | `masterpiece, best quality, highres` |  | Beschreiben Sie das gewünschte Bild möglichst detailliert, um die besten Ergebnisse zu erzielen. |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | Für die Hochskalierung verwendeter Multiplikator. |
| `negative_prompt` |  | string | no | `(worst quality, low quality, normal quality:2)` |  | Negativer Prompt mit Details, die aus dem Bild ausgeschlossen werden sollen. |
| `creativity` |  | number | no | `0.35` | 0 – 1 | Kreativität des Modells, gesteuert durch die Entrauschungsstärke der Abtastung. Höhere Werte erlauben größere Abweichungen vom Prompt. |
| `resemblance` |  | number | no | `0.6` | 0 – 1 | Ähnlichkeit des hochskalierten Ergebnisses mit der Quelle, gesteuert durch die ControlNet-Stärke. Höhere Werte bewahren mehr vom Originalbild. |
| `guidance_scale` |  | number | no | `4` | 0 – 20 | Stärke der Prompt-Treue bei der Bildauswahl, ausgedrückt als CFG (Classifier Free Guidance). |
| `num_inference_steps` |  | integer | no | `18` | 4 – 50 | Anzahl der auszuführenden Inferenzschritte. |
| `seed` |  | integer \| null | no |  | ≥ 0 | Seed zur Reproduktion von Bildern in Stable Diffusion. Ein Bild kann bei jedem Durchlauf exakt reproduziert werden, wenn Modellversion, Prompt und Seed unverändert bleiben. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Schalter für die Sicherheitsprüfung; false deaktiviert die Prüfung. |

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} | URL zum generierten Bild. |
| `seed` | integer | Bei der Bildgenerierung verwendeter Seed. |
| `timings` | object | Zeitinformationen für einzelne Workflow-Schritte. |

## 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