# Makeup Changer API

> Thêm hoặc xóa trang điểm trên ảnh chân dung, với thiết lập sẵn phong cách và bốn mức cường độ

Hoạt động trên ảnh chân dung được cung cấp dưới dạng `image_url`. `makeup_style` gồm natural, glamorous, smoky eyes, bold lips, bridal, korean phong cách và artistic, cùng với no_makeup và remove_makeup để xóa trang điểm. `intensity` có thể là light, medium, heavy hoặc dramatic. `aspect_ratio` đặt khung hình đầu ra.

- Model id: `image-apps-v2/makeup-application`
- Made by: Utility
- Category: Image Editing
- Output: image
- Price: $0.04 / image (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/image-apps-v2/makeup-application`
- Quote: `POST https://api.doitong.com/v1/quote/image-apps-v2/makeup-application`
- Docs page: https://doitong.com/vi/developers/models/image-apps-v2/makeup-application

## Pricing

Price: **$0.04 / image**. Billed per generated image.

The full example input below costs $0.04 = 40 API credits (1 image × 40 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/image-apps-v2/makeup-application` 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 của chân dung cần trang điểm. |
| `makeup_style` |  | enum (string) | no | `natural` | `natural`, `glamorous`, `smoky_eyes`, `bold_lips`, `no_makeup`, `remove_makeup`, `dramatic`, `bridal`, `professional`, `korean_style`, `artistic` |  |
| `intensity` |  | enum (string) | no | `medium` | `light`, `medium`, `heavy`, `dramatic` |  |
| `aspect_ratio` |  | object {ratio} | no |  |  | Tỷ lệ khung hình đầu ra ở 4K; mặc định là 3:4 cho chân dung. |
| `aspect_ratio.ratio` |  | enum (string) | no | `1:1` | `1:1`, `16:9`, `9:16`, `4:3`, `3:4` | Tỷ lệ khung hình đầu ra ở độ phân giải 4K. |

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/image-apps-v2/makeup-application?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/image-apps-v2/makeup-application?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/image-apps-v2/makeup-application", 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": "image-apps-v2/makeup-application",
      "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": "image-apps-v2/makeup-application",
  "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": 40,
    "usd": "0.04",
    "charged": 40,
    "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
      }
    ]
  },
  "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} | Chân dung thể hiện lớp trang điểm đã thêm. |

## Related models

- [Age Modify](https://doitong.com/developers/models/image-apps-v2/age-modify.md) (`image-apps-v2/age-modify`): $0.04 / image
- [City Teleport](https://doitong.com/developers/models/image-apps-v2/city-teleport.md) (`image-apps-v2/city-teleport`): $0.04 / image
- [Expression Change](https://doitong.com/developers/models/image-apps-v2/expression-change.md) (`image-apps-v2/expression-change`): $0.04 / image
- [Hair Change](https://doitong.com/developers/models/image-apps-v2/hair-change.md) (`image-apps-v2/hair-change`): $0.04 / image
- [Headshot Generator](https://doitong.com/developers/models/image-apps-v2/headshot-photo.md) (`image-apps-v2/headshot-photo`): $0.04 / image
- [Image Outpaint](https://doitong.com/developers/models/image-apps-v2/outpaint.md) (`image-apps-v2/outpaint`): $0.07 / image
- [Object Removal · Image Apps v2](https://doitong.com/developers/models/image-apps-v2/object-removal.md) (`image-apps-v2/object-removal`): $0.04 / image
- [Perspective Change](https://doitong.com/developers/models/image-apps-v2/perspective.md) (`image-apps-v2/perspective`): $0.04 / image

## Links

- HTML page: https://doitong.com/developers/models/image-apps-v2/makeup-application
- 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=image-apps-v2/makeup-application
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/image-apps-v2/makeup-application