# Live Portrait · Image API

> עורך את הבעת הפנים ותנוחת הראש של פורטרט יחיד באמצעות מחוונים, ומפיק תמונה סטטית

מתאים את הפנים בתמונת פורטרט אחת ללא סרטון מניע. המחוונים כוללים מצמוץ, גבות, קריצה, מיקום אישונים, צורות פה (aaa, eee, woo), חיוך וסיבוב ראש (pitch, yaw, roll). אפשרויות חיתוך כגון `flag_do_crop` ו־`scale`, וכן `dsize` (ברירת מחדל 512), שולטות בחיתוך הפנים. הפלט הוא jpeg כברירת מחדל, או png.

- Model id: `live-portrait/image`
- Made by: Kuaishou
- Category: Image Editing
- Output: image
- Charged by usage (up to $1.125 per run, typical $0.004; the rest of the hold is refunded): $0.00125 / second of processing time (cheapest run $0.004 (4 API credits))
- Run: `POST https://api.doitong.com/v1/run/live-portrait/image`
- Quote: `POST https://api.doitong.com/v1/quote/live-portrait/image`
- Docs page: https://doitong.com/he/developers/models/live-portrait/image

## 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 $0.004.

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 $0.004 (4 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/live-portrait/image` 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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | כתובת URL של תמונה להנפשה. |
| `blink` |  | number | no | `0` | -30 – 30 | מידת מצמוץ העיניים. |
| `eyebrow` |  | number | no | `0` | -30 – 30 | מידת הרמת או הורדת הגבות. |
| `wink` |  | number | no | `0` | 0 – 25 | מידת הקריצה. |
| `pupil_x` |  | number | no | `0` | -45 – 45 | מידת תנועת האישונים האופקית. |
| `pupil_y` |  | number | no | `0` | -45 – 45 | מידת תנועת האישונים האנכית. |
| `aaa` |  | number | no | `0` | -200 – 200 | מידת פתיחת הפה לצורת 'aaa'. |
| `eee` |  | number | no | `0` | -40 – 40 | מידת עיצוב הפה למיקום 'eee'. |
| `woo` |  | number | no | `0` | -100 – 100 | מידת עיצוב הפה למיקום 'woo'. |
| `smile` |  | number | no | `0` | -2 – 2 | מידת החיוך. |
| `rotate_pitch` |  | number | no | `0` | -45 – 45 | מידת סיבוב הפנים לאורך ציר pitch. |
| `rotate_yaw` |  | number | no | `0` | -45 – 45 | מידת סיבוב הפנים לאורך ציר yaw. |
| `rotate_roll` |  | number | no | `0` | -45 – 45 | מידת סיבוב הפנים לאורך ציר roll. |
| `flag_pasteback` |  | boolean | no | `true` |  | אפשרות הדבקה-חזרה/תפירה שממקמת את חיתוך הפנים המונפש בתוך התמונה המקורית וממפה אותו אל מחוץ לקואורדינטות חיתוך הפנים. |
| `flag_do_crop` |  | boolean | no | `true` |  | שולט אם דיוקן המקור נחתך אל מרחב הקואורדינטות של חיתוך הפנים. |
| `flag_do_rot` |  | boolean | no | `true` |  | שולט אם הסיבוב מתבצע כאשר flag_do_crop הוא true. |
| `flag_lip_zero` |  | boolean | no | `true` |  | סגירת שפתיים לפני ההנפשה, חלה רק כאשר גם flag_eye_retargeting וגם flag_lip_retargeting מוגדרים ל-False. |
| `dsize` |  | integer | no | `512` |  | מידות התמונה שנוצרה. |
| `scale` |  | number | no | `2.3` |  | מכפיל קנה המידה המוחל על חיתוך הפנים. |
| `vx_ratio` |  | number | no | `0` |  | יחס השולט בהיסט האופקי של חיתוך הפנים. |
| `vy_ratio` |  | number | no | `-0.125` |  | יחס המיקום האנכי של חיתוך הפנים: הסימן קובע את הכיוון, כלפי מעלה עבור ערכים חיוביים וכלפי מטה עבור ערכים שליליים. |
| `enable_safety_checker` |  | boolean | no | `false` |  | שולט אם בדיקת הבטיחות מופעלת. כאשר היא פעילה, הבודק מעבד את תמונת הקלט כדי לוודא שהיא מכילה פנים לפני עיבוד המודל. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | הפורמט המשמש לפלט. |

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/live-portrait/image?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/live-portrait/image?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/live-portrait/image", 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": "live-portrait/image",
      "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": "live-portrait/image",
  "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
    }
  },
  "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} | קובץ תמונה שנוצר ביצירה. |

## Related models

- [Live Portrait](https://doitong.com/developers/models/live-portrait.md) (`live-portrait`): $0.00125 / second of processing time
- [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
- [Kolors Image to Image](https://doitong.com/developers/models/kolors/image-to-image.md) (`kolors/image-to-image`): $0.009 / image

## Links

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