# Ltx 2.3 Quality · Outpaint API

> يمدّد إطار الفيديو إلى نسبة عرض إلى ارتفاع جديدة، مع ملء المنطقة المضافة

يوسّع فيديو المصدر مكانيًا إلى لوحة جديدة. اختر `aspect_ratio` مستهدفًا (21:9 أو 16:9 أو 4:3 أو 1:1 أو 3:4 أو 9:16 أو 9:21) و`output_resolution` بقيمة 480p أو 720p أو 1080p. يحدد `source_scale` (0.25 إلى 1) حجم الأصل داخل اللوحة، بينما يتحكم `video_strength` في مقدار الحفاظ عليه. يوجّه `prompt` المناطق الجديدة.

- Model id: `ltx-2.3-quality/outpaint`
- Made by: Lightricks
- Category: Video to Video
- Output: video
- Price per megapixel of your output video: $0.00241 / megapixel of output video (cheapest run $0.003 (3 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx-2.3-quality/outpaint`
- Quote: `POST https://api.doitong.com/v1/quote/ltx-2.3-quality/outpaint`
- Docs page: https://doitong.com/ar/developers/models/ltx-2.3-quality/outpaint

## Pricing

Price: **$0.00241 / megapixel of output video**. Price per megapixel of your output video: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.27 = 270 API credits (112 MP output video × $0.002408).

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/ltx-2.3-quality/outpaint` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | نص يوجه توليد المناطق الموسعة خارج إطار الفيديو. |
| `video_url` | `video` | string (video URL) | yes |  |  | الفيديو المصدر الذي ستُمدد حدوده المكانية عبر التوسيع خارج الإطار. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `21:9`, `16:9`, `4:3`, `1:1`, `3:4`, `9:16`, `9:21` | نسبة أبعاد التوسيع خارج الإطار؛ فمثلًا يمكن توسيع مدخل 4:3 إلى 16:9. اختر نسبة مختلفة عن نسبة المصدر لتمديد الإطار بسلاسة. |
| `output_resolution` |  | enum (string) | no | `720p` | `480p`, `720p`, `1080p` | فئة دقة المخرج، وتكون افتراضيًا خيار 720p المتوازن. اختر 480p لتوليد أسرع أو 1080p لمساحة أكبر، بشرط توافقها مع حدود LTX. |
| `resolution` |  | object {width, height} \| enum (string) | no | `landscape_16_9` | `auto`, `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | أبعاد دقيقة للوحة باستخدام الإعداد القديم، محتفظ بها للتوافق مع الإصدارات السابقة. يجب أن تستخدم الطلبات الجديدة `aspect_ratio` مع `output_resolution` بدلًا من ذلك. |
| `source_scale` |  | number | no | `1` | 0.25 – 1 | مقياس فيديو المصدر داخل اللوحة المستهدفة قبل التوسيع الخارجي؛ يؤدي تقليله إلى إدخال إطار ناتج عن التصغير ويجعل النتائج أقل استقرارًا. لتوسيع نسبة العرض إلى الارتفاع فعليًا، مثل التحويل من 4:3 إلى 16:9، يُوصى بالإعداد 1.0 لملاءمة المصدر بأكبر حجم ممكن داخل اللوحة. |
| `video_strength` |  | number | no | `1` | 0 – 1 | التحكم في الاحتفاظ بالفيديو الأصلي داخل اللوحة الموسعة خارجيًا عبر توجيه فيديو IC-LoRA؛ تؤدي زيادة شدته إلى الحفاظ على المصدر بدرجة أكبر. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | عدد الإطارات في المخرج المولّد. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | معدل إطارات فيديو المخرج، مقاسًا بالإطارات في الثانية. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | حدد عدد خطوات الاستدلال المراد تشغيلها، بحد أقصى 30؛ ويؤدي تركه دون تغيير إلى استخدام 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | اضبط التوجيه الخالي من المصنف باستخدام هذا المقياس؛ ويستهدف ضبطه الافتراضي جودة عالية وتوليدًا سريعًا. |
| `generate_audio` |  | boolean | no | `true` |  | مفتاح تبديل المسار الصوتي لملف MP4 المُعاد: ينتج إيقافه ملف فيديو فقط، بينما يضمّن تشغيله الصوت. |
| `negative_prompt` |  | string | no | `color distortion, overexposure, static, blurry details, subtitles, style, artwork, painting, frame, still, dim overall tone, worst quality, low quality, JPEG compression artifacts, ugly, mutilated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, crowded background, walking backwards` |  | موجّه سلبي يحدد ما يجب أن يتجنبه التوليد. |
| `seed` |  | integer \| null | no |  |  | بذرة تجعل التوليد قابلًا لإعادة الإنتاج. يؤدي ضبطها على None إلى اختيار بذرة عشوائيًا. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | يتحكم في تفعيل توسيع الموجّه. |
| `enable_safety_checker` |  | boolean | no | `true` |  | يتحكم في تفعيل فحص السلامة. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | إعداد الجودة المطبق على فيديو المخرج. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | وضع كتابة الفيديو الناتج. |

File parameters (`video`) 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
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## 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/ltx-2.3-quality/outpaint?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }'

# 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/ltx-2.3-quality/outpaint?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ltx-2.3-quality/outpaint", 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": "ltx-2.3-quality/outpaint",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "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": "ltx-2.3-quality/outpaint",
  "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": 270,
    "usd": "0.27",
    "charged": 270,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    },
    "seed": 42,
    "prompt": "string"
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | الفيديو الذي أنتجه النموذج. |
| `seed` | integer | البذرة الفعلية المطبقة أثناء التوليد. |
| `prompt` | string | موجّه التوليد، بما في ذلك أي توسيع طُبق قبل الاستخدام. |

## Related models

- [Ltx 2.3 Quality · Text to Video](https://doitong.com/developers/models/ltx-2.3-quality/text-to-video.md) (`ltx-2.3-quality/text-to-video`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Text to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-quality/text-to-video/lora.md) (`ltx-2.3-quality/text-to-video/lora`): $0.00271 / megapixel of output video
- [Ltx 2.3 Quality · Image to Video](https://doitong.com/developers/models/ltx-2.3-quality/image-to-video.md) (`ltx-2.3-quality/image-to-video`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Image to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-quality/image-to-video/lora.md) (`ltx-2.3-quality/image-to-video/lora`): $0.00271 / megapixel of output video
- [Ltx 2.3 Quality · Ingredient](https://doitong.com/developers/models/ltx-2.3-quality/ingredient.md) (`ltx-2.3-quality/ingredient`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Clean Plate](https://doitong.com/developers/models/ltx-2.3-quality/clean-plate.md) (`ltx-2.3-quality/clean-plate`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Colorization](https://doitong.com/developers/models/ltx-2.3-quality/colorization.md) (`ltx-2.3-quality/colorization`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Cross Eyed](https://doitong.com/developers/models/ltx-2.3-quality/cross-eyed.md) (`ltx-2.3-quality/cross-eyed`): $0.00241 / megapixel of output video

## Links

- HTML page: https://doitong.com/developers/models/ltx-2.3-quality/outpaint
- 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=ltx-2.3-quality/outpaint
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx-2.3-quality/outpaint