# LTX 2.5 Pro Text to Video API

> LTX 2.5 Pro של Lightricks, קטעים באורך 6 עד 10 שניות עם שמע ותנועות מצלמה מוגדרות, עד 1080p ו־50 fps.

LTX 2.5 Pro מעבד וידאו חד ברזולוציית 720p או 1080p עם שמע שנוצר, ומאפשר לבחור תנועת מצלמה מוגדרת (dolly פנימה או החוצה, dolly הצידה, jib למעלה או למטה, static, focus shift) במקום לתאר אותה. 6, 8 או 10 שניות או אורך אוטומטי, 24, 25 או 50 fps, לרוחב או לאורך.

- Model id: `lightricks/ltx-2.5/text-to-video/pro`
- Made by: Lightricks
- Category: Text to Video
- Output: video
- Price: from $0.12 / second (6 s ≈ $0.72) (cheapest run $0.72 (720 API credits))
- Run: `POST https://api.doitong.ru/v1/run/lightricks/ltx-2.5/text-to-video/pro`
- Quote: `POST https://api.doitong.ru/v1/quote/lightricks/ltx-2.5/text-to-video/pro`
- Docs page: https://doitong.com/he/developers/models/lightricks/ltx-2.5/text-to-video/pro

## Pricing

Price: **from $0.12 / second (6 s ≈ $0.72)** (the lowest tier; the quote prices your exact input). Billed per second of output (`duration`, default 10).

The full example input below costs $1.02 = 1020 API credits (6 s × 170 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.ru/v1/quote/lightricks/ltx-2.5/text-to-video/pro` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | 1 – 5000 characters | הנחיה המכוונת יצירת וידאו. |
| `duration` |  | enum | no | `auto` | `6`, `8`, `10`, `auto` | בחירת אורך הווידאו: יש לציין משך בשניות או לבחור 'auto' כדי שהמודל יחליט. המשך המרבי הוא 10 שניות. |
| `resolution` |  | enum (string) | no | `1080p` | `720p`, `1080p` | הרזולוציה המשמשת לווידאו הפלט. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16` | יחס הממדים של וידאו הפלט. |
| `fps` |  | enum (integer) | no | `25` | `24`, `25`, `50` | קצב הפריימים של וידאו הפלט, נמדד בפריימים לשנייה. |
| `generate_audio` |  | boolean | no | `true` |  | מתג יצירת אודיו עבור וידאו הפלט. |
| `camera_motion` |  | enum (string) \| null | no |  | `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `focus_shift` | תנועת מצלמה אופציונלית עבור וידאו הפלט. |

## Example input

Required parameters only:

```json
{
  "prompt": "Through a sheer red veil, a bride smiles as marigold petals fall around her, warm evening light"
}
```

A fuller example:

```json
{
  "prompt": "Through a sheer red veil, a bride smiles as marigold petals fall around her, warm evening light",
  "duration": 6,
  "resolution": "1080p",
  "camera_motion": "dolly_in"
}
```

## 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.ru/v1/run/lightricks/ltx-2.5/text-to-video/pro?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Through a sheer red veil, a bride smiles as marigold petals fall around her, warm evening light",
    "duration": 6,
    "resolution": "1080p",
    "camera_motion": "dolly_in"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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/lightricks/ltx-2.5/text-to-video/pro?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Through a sheer red veil, a bride smiles as marigold petals fall around her, warm evening light",
    "duration": 6,
    "resolution": "1080p",
    "camera_motion": "dolly_in"
  }),
});
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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "Through a sheer red veil, a bride smiles as marigold petals fall around her, warm evening light",
    "duration": 6,
    "resolution": "1080p",
    "camera_motion": "dolly_in",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/lightricks/ltx-2.5/text-to-video/pro", 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.ru/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": "lightricks/ltx-2.5/text-to-video/pro",
      "input": {
        "prompt": "Through a sheer red veil, a bride smiles as marigold petals fall around her, warm evening light",
        "duration": 6,
        "resolution": "1080p",
        "camera_motion": "dolly_in"
      },
      "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": "lightricks/ltx-2.5/text-to-video/pro",
  "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": 1020,
    "usd": "1.02",
    "charged": 1020,
    "refunded": 0
  },
  "input": {
    "prompt": "Through a sheer red veil, a bride smiles as marigold petals fall around her, warm evening light",
    "duration": 6,
    "resolution": "1080p",
    "camera_motion": "dolly_in"
  },
  "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    }
  },
  "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames} | קובץ הווידאו הסופי. |

## Related models

- [Ltx 2.5 Text to Video Fast](https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/fast.md) (`lightricks/ltx-2.5/text-to-video/fast`): from $0.09 / second
- [LTX 2.5 Image to Video Fast](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/fast.md) (`lightricks/ltx-2.5/image-to-video/fast`): from $0.09 / second
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second
- [Ltx 2.5 Audio to Video Fast](https://doitong.com/developers/models/lightricks/ltx-2.5/audio-to-video/fast.md) (`lightricks/ltx-2.5/audio-to-video/fast`): $0.13 / second of input audio
- [Ltx 2.5 Audio to Video Pro](https://doitong.com/developers/models/lightricks/ltx-2.5/audio-to-video/pro.md) (`lightricks/ltx-2.5/audio-to-video/pro`): $0.17 / second of input audio
- [FLUX 3 Max Text to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/text-to-video.md) (`blackforestlabs/flux-3-max/text-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Text to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/text-to-video.md) (`xai/grok-imagine-video/v1.5/text-to-video`): from $0.08 / second
- [Kling 3.0 Pro Text to Video](https://doitong.com/developers/models/kling-video/v3/pro/text-to-video.md) (`kling-video/v3/pro/text-to-video`): from $0.112 / second

## Links

- HTML page: https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/pro
- 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=lightricks/ltx-2.5/text-to-video/pro
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/lightricks/ltx-2.5/text-to-video/pro