# Chrono Edit Lora Gallery · Paintbrush API

> Skitsebaseret billedredigering, hvor malede områder transformeres efter prompten

Redigerer et billede ved at transformere områder, du har skitseret på det, efter `prompt`. En valgfri `mask_url` markerer de områder, der skal males, med sorte områder som angivelse. `lora_scale` går fra 0 til 2, opløsningen er 480p eller 720p, og output er som standard png. Op til 3 ekstra LoRAs kan flettes ind via `loras`.

- Model id: `chrono-edit-lora-gallery/paintbrush`
- Made by: NVIDIA
- Category: Image Editing
- Output: image
- Price: from $0.02 / image (cheapest run $0.02 (20 API credits))
- Run: `POST https://api.doitong.com/v1/run/chrono-edit-lora-gallery/paintbrush`
- Quote: `POST https://api.doitong.com/v1/quote/chrono-edit-lora-gallery/paintbrush`
- Docs page: https://doitong.com/da/developers/models/chrono-edit-lora-gallery/paintbrush

## Pricing

Price: **from $0.02 / image** (the lowest tier; the quote prices your exact input). Billed per generated image.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `resolution` = 720p: $0.03 (30 API credits) / image

The full example input below costs $0.02 = 20 API credits (1 image × 20 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.com/v1/quote/chrono-edit-lora-gallery/paintbrush` 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 |  |  | Billede angivet til redigering. |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | Valgfri billedmaske, hvis sorte områder angiver, hvor der skal skitseres eller males. |
| `prompt` |  | string | yes |  |  | Beskrivelse af de ændringer, der skal anvendes på de skitserede områder. |
| `num_inference_steps` |  | integer | no | `8` | 2 – 50 | Samlet antal denoising-iterationer, der skal udføres. |
| `guidance_scale` |  | number | no | `1` | 0 – 10 | Styrken af classifier-free guidance. |
| `resolution` |  | enum (string) | no | `480p` | `480p`, `720p` | Opløsning for det resulterende billede. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Kontakt til sikkerhedskontrol, hvis deaktiverede indstilling kun respekteres for godkendte konti. Alle anmodninger uden denne godkendelse gennemgår sikkerhedskontrol. |
| `lora_scale` |  | number | no | `1` | 0 – 2 | Skaleringsmultiplikator anvendt på LoRA-adapteren. |
| `seed` |  | integer \| null | no |  |  | Seed anvendt under inferens. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Filformat for det resulterende billede. |
| `turbo_mode` |  | boolean | no | `true` |  | Kontakt til turbo-tilstand for hurtigere inferens. |
| `loras` |  | array of object {path, scale} | no | `[]` |  | Valgfrit sæt ekstra LoRAs, der skal flettes, begrænset til 3. |
| `loras[].path` |  | string | yes |  |  | Placering af LoRA-vægtene i Safetensors-format, angivet som en URL eller sti. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Skaleringsmultiplikator, der angiver LoRA-styrken. |

File parameters (`image`, `mask`) 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",
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/chrono-edit-lora-gallery/paintbrush?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",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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/chrono-edit-lora-gallery/paintbrush?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# 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/paintbrush", 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": "chrono-edit-lora-gallery/paintbrush",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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/paintbrush",
  "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": 20,
    "usd": "0.02",
    "charged": 20,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Billede, der er resultatet af redigeringen. |
| `prompt` | string | Prompt leveret til inferensprocessen. |
| `seed` | integer | Seed anvendt under inferens. |

## Related models

- [Chrono Edit Lora Gallery · Upscaler](https://doitong.com/developers/models/chrono-edit-lora-gallery/upscaler.md) (`chrono-edit-lora-gallery/upscaler`): $0.03 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [Chrono Edit](https://doitong.com/developers/models/chrono-edit.md) (`chrono-edit`): from $0.01 / image

## Links

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