# Creative Upscaler API

> Augmenteur de résolution créatif fondé sur la diffusion, qui ajoute des détails, avec une base SD 1.5 ou SDXL et un contrôle de la forme

Agrandit une image provenant de `image_url` selon `scale`, de 1 à 5, tout en générant de nouveaux détails. `model_type` est SD_1_5 ou SDXL, `creativity` et `detail` définissent l’ampleur des changements, et `shape_preservation` conserve la structure originale. Sans `prompt`, une invite est générée automatiquement. Les URL de modèle de base personnalisé, de LoRA et de plongement sont prises en charge.

- Model id: `creative-upscaler`
- Made by: Open model
- Category: Upscale
- Output: image
- Charged by usage (up to $1.125 per run, typical $0.007; the rest of the hold is refunded): $0.00125 / second of processing time (cheapest run $0.007 (7 API credits))
- Run: `POST https://api.doitong.com/v1/run/creative-upscaler`
- Quote: `POST https://api.doitong.com/v1/quote/creative-upscaler`
- Docs page: https://doitong.com/fr-CA/developers/models/creative-upscaler

## Pricing

Price: **$0.00125 / second of processing time**. Charged by actual usage at $0.00125 / second of processing time: up to $1.125 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.007.

The full example input below holds up to $1.125 = 1125 API credits (up to 900 s of processing time × $0.00125) when it starts; a typical run costs $0.007 (7 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). This model is charged by usage: `POST https://api.doitong.com/v1/quote/creative-upscaler` with the same JSON body returns the most the run can cost for that input (`credits`, debited when the run starts); after the run you pay the usage the model reports and the rest is refunded automatically. An input whose maximum would exceed the per-run limit is refused with 422. 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 |
|---|---|---|---|---|---|---|
| `model_type` |  | enum (string) | no | `SD_1_5` | `SD_1_5`, `SDXL` | Type de modèle utilisé pour l’agrandissement; par défaut, SD_1_5. |
| `image_url` | `image` | string (image URL) | yes |  |  | Image source à agrandir. |
| `prompt` |  | string \| null | no |  |  | Invite de génération d’image, créée par BLIP2 lorsque vous l’omettez. Lorsque vous fournissez la vôtre, incluez le plus de détails descriptifs possible pour obtenir les meilleurs résultats. |
| `scale` |  | number | no | `2` | 1 – 5 | Augmentez ce facteur d’échelle pour agrandir l’image de sortie. |
| `creativity` |  | number | no | `0.5` | 0 – 1 | Degré de divergence permis par rapport à l’original. |
| `detail` |  | number | no | `1` | 0 – 5 | Quantité de détails ajoutés. |
| `shape_preservation` |  | number | no | `0.25` | 0 – 3 | Degré de conservation de la forme de l’image source. |
| `prompt_suffix` |  | string | no | `high quality, highly detailed, high resolution, sharp` |  | Fin d’invite partagée servant à ajouter des jetons d’intégration ou des formulations comme 'high quality' à toutes les invites. |
| `negative_prompt` |  | string | no | `blurry, low resolution, bad, ugly, low quality, pixelated, interpolated, compression artifacts, noisey, grainy` |  | Invite négative indiquant les détails d’image indésirables. Elle peut exclure les couleurs, les objets, le décor ou des caractéristiques et qualités plus fines, comme une moustache, du flou ou une faible résolution. |
| `seed` |  | integer \| null | no |  |  | Graine pour reproduire des images dans Stable Diffusion. Une image peut être reproduite exactement à chaque exécution en conservant la version du modèle, l’invite et la graine inchangées. |
| `guidance_scale` |  | number | no | `7.5` | 0 – 16 | Intensité d’adhésion à l’invite pour la sélection d’images, exprimée comme CFG (Classifier Free Guidance). |
| `num_inference_steps` |  | integer | no | `20` | 1 – 200 | Nombre d’étapes d’inférence pour la génération d’image; des valeurs plus élevées améliorent la qualité de l’image au prix d’un temps de génération plus long. |
| `enable_safety_checks` |  | boolean | no | `true` |  | Option de vérification de sécurité qui, lorsqu’elle est true, remplace par une image noire tout résultat détecté comme contenant du contenu potentiellement dangereux. |
| `skip_ccsr` |  | boolean | no | `false` |  | Contournement du prétraitement CCSR lorsqu’il est activé; l’image est plutôt envoyée directement au modèle de créativité. |
| `override_size_limits` |  | boolean | no | `false` |  | Autorisation pour les téléversements volumineux pouvant prendre beaucoup de temps. |
| `base_model_url` |  | string \| null | no |  |  | URL du modèle de base pour l’agrandissement. |
| `additional_lora_url` |  | string | no |  |  | Indiquez une LORA supplémentaire pour l’agrandissement en fournissant l’URL de son modèle. Sans valeur, la valeur par défaut est None. |
| `additional_lora_scale` |  | number | no | `1` |  | Ajustez l’intensité de l’effet de la LORA supplémentaire sur l’agrandissement au moyen de son échelle, dont la valeur par défaut est 1.0. |
| `additional_embedding_url` |  | string | no |  |  | Fournissez des intégrations supplémentaires pour l’agrandissement en les indiquant par une URL. Sans valeur, la valeur par défaut est None. |

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/creative-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/creative-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/creative-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": "creative-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": "creative-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": 1125,
    "usd": "1.125",
    "charged": 1125,
    "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
  },
  "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} | Informations sur le fichier de l’image générée. |
| `seed` | integer | Graine de génération d’image, incluant la valeur choisie aléatoirement si l’entrée n’a pas fourni de graine; sinon, elle répète la valeur fournie. |

## 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
- [AuraSR](https://doitong.com/developers/models/aura-sr.md) (`aura-sr`): $0.001111 / second of processing time
- [DRCT-Super-Resolution](https://doitong.com/developers/models/drct-super-resolution.md) (`drct-super-resolution`): $0.0045 / megapixel of output image
- [Flashvsr](https://doitong.com/developers/models/flashvsr/upscale/video.md) (`flashvsr/upscale/video`): $0.0005 / megapixel of output video
- [Fooocus Upscale or Vary](https://doitong.com/developers/models/fooocus/upscale-or-vary.md) (`fooocus/upscale-or-vary`): $0.007 / image
- [Upscale Images](https://doitong.com/developers/models/esrgan.md) (`esrgan`): $0.000575 / second of processing time
- [Video Upscaler](https://doitong.com/developers/models/video-upscaler.md) (`video-upscaler`): $0.0008 / megapixel of output video

## Links

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