# Chrono Edit Lora Gallery · Upscaler API

> Aumento de resolução e limpeza de imagens com um fator de 1x a 4x, baseado na configuração Chrono Edit LoRA

Aumenta a resolução e limpa uma imagem sem precisar de um prompt. `upscale_factor` varia entre 1 e 4 e tem o valor predefinido 2. `num_inference_steps` varia entre 2 e 50 e tem o valor predefinido 30, enquanto `lora_scale` varia entre 0 e 2. A saída pode ser jpeg, png ou webp e podem ser combinadas até 3 LoRAs extra.

- Model id: `chrono-edit-lora-gallery/upscaler`
- Made by: NVIDIA
- Category: Upscale
- Output: image
- Price: $0.03 / image (cheapest run $0.03 (30 API credits))
- Run: `POST https://api.doitong.ru/v1/run/chrono-edit-lora-gallery/upscaler`
- Quote: `POST https://api.doitong.ru/v1/quote/chrono-edit-lora-gallery/upscaler`
- Docs page: https://doitong.com/pt-PT/developers/models/chrono-edit-lora-gallery/upscaler

## Pricing

Price: **$0.03 / image**. Billed per generated image.

The full example input below costs $0.03 = 30 API credits (1 image × 30 API credits).

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/chrono-edit-lora-gallery/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 |  |  | Imagem de origem para aumento de resolução. |
| `upscale_factor` |  | number | no | `2` | 1 – 4 | Multiplicador de resolução pretendido para a saída. |
| `guidance_scale` |  | number | no | `1` | 0 – 10 | Escala de orientação aplicada durante a inferência. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Interruptor de verificação de segurança cuja desativação só é respeitada para contas autorizadas. Todos os pedidos sem essa autorização são submetidos a verificações de segurança. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Número de iterações de inferência utilizado durante o aumento de resolução. |
| `lora_scale` |  | number | no | `1` | 0 – 2 | Multiplicador de escala aplicado ao adaptador LoRA. |
| `seed` |  | integer \| null | no |  |  | Seed utilizada durante a inferência. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png`, `webp` | Formato do ficheiro da imagem resultante. |
| `loras` |  | array of object {path, scale} | no | `[]` |  | Conjunto opcional de LoRAs adicionais a fundir, limitado a 3. |
| `loras[].path` |  | string | yes |  |  | Localização dos pesos LoRA em formato Safetensors, especificada como URL ou caminho. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplicador de escala que define a intensidade do LoRA. |

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/chrono-edit-lora-gallery/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.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/chrono-edit-lora-gallery/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.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/chrono-edit-lora-gallery/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.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": "chrono-edit-lora-gallery/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": "chrono-edit-lora-gallery/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": 30,
    "usd": "0.03",
    "charged": 30,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "images": [
      {
        "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
      }
    ],
    "prompt": "The user wants to add a surfer to the wave in the illustration while preserving the original ukiyo-e woodblock art style. The surfer should be depicted mid-action, crouched low on a modern-style surfboard, carving through the crest of the wave with one arm extended for balance and the other gripping the board. Their wavy hair and athletic physique should match the dynamic motion. The background must remain unchanged, including the iconic Mount Fuji and the traditional Japanese text, to maintain the artwork's historical aesthetic and composition.",
    "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Imagem resultante da edição. |
| `prompt` | string | Prompt fornecido ao processo de inferência. |
| `seed` | integer | Seed utilizada durante a inferência. |

## Related models

- [Chrono Edit Lora Gallery · Paintbrush](https://doitong.com/developers/models/chrono-edit-lora-gallery/paintbrush.md) (`chrono-edit-lora-gallery/paintbrush`): from $0.02 / image
- [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
- [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
- [Clarity Upscaler](https://doitong.com/developers/models/clarity-upscaler.md) (`clarity-upscaler`): $0.03 / megapixel of output image
- [Creative Upscaler](https://doitong.com/developers/models/creative-upscaler.md) (`creative-upscaler`): $0.00125 / second of processing time

## Links

- HTML page: https://doitong.com/developers/models/chrono-edit-lora-gallery/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=chrono-edit-lora-gallery/upscaler
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/chrono-edit-lora-gallery/upscaler