# Ltx 2.3 Quality · Decompression API

> تأثير لاستعادة الفيديو يقلل آثار الضغط والتشويش في المقطع

يعالج فيديو مضغوطًا مليئًا بالآثار من `video_url` لإنتاج نسخة أنظف. أضف `prompt` قصيرًا يصف المشهد إذا أردت توجيه النتيجة. اختر إخراجًا بدقة 480p أو 720p؛ إذ تتسع 720p لنحو 6 ثوانٍ و480p لنحو 15 ثانية. تقبل `num_frames` القيم من 9 إلى 481، وتتحكم `generate_audio` في احتفاظ النتيجة بمسار صوتي.

- Model id: `ltx-2.3-quality/decompression`
- 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/decompression`
- Quote: `POST https://api.doitong.com/v1/quote/ltx-2.3-quality/decompression`
- Docs page: https://doitong.com/ar/developers/models/ltx-2.3-quality/decompression

## 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/decompression` 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 |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | عنوان URL الذي يحدد الفيديو المصدر للتحويل. |
| `prompt` |  | string | no | `` |  | وصف موجز اختياري للمشهد أو المحتوى يستبدل الوصف العام المستخدم عند ترك هذا الحقل فارغًا. لتحسين النتيجة، يُدمج النص المقدم في الوصف الذي دُرّب عليه التأثير. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | اختر دقة الجانب القصير للمخرج مع الحفاظ على نسبة أبعاد المصدر: توفر 480p نتائج أنعم للمقاطع التي تصل مدتها تقريبًا إلى 15 ثانية، بينما توفر 720p نتائج أوضح لمدة تصل تقريبًا إلى 6 ثوانٍ. اختر 480p للمقاطع الأطول لأن مسار تحكم IC-LoRA يحد حاصل ضرب الدقة في عدد الإطارات؛ وتُرفض الطلبات التي تتجاوز هذه الميزانية بخطأ واضح. احسب مدة المخرج كالتالي: `num_frames` / `frames_per_second`. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | عدد إطارات المخرج، ويخضع لميزانية IC-LoRA لحاصل ضرب الدقة في الإطارات: نحو 6 ثوانٍ عند 720p أو 15 ثانية عند 480p. يؤدي تجاوز هذه الميزانية إلى إرجاع 422؛ خفّض `num_frames` أو اختر 480p. تساوي مدة المقطع بالثواني `num_frames` / `frames_per_second`. |
| `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_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
{
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "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/decompression?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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/decompression?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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 = {
    "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/decompression", 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/decompression",
      "input": {
        "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/decompression",
  "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": {
    "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/decompression
- 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/decompression
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx-2.3-quality/decompression