# LTX-Video 13B 0.9.8 Distilled · Extend API

> Amplía un vídeo existente con el modelo 13B destilado 0.9.8, guiado por un prompt de texto

Continúa un clip proporcionado en `video`, guiado por un `prompt` obligatorio. La resolución es 480p o 720p, y `aspect_ratio` puede ser auto, 9:16, 1:1 o 16:9. `num_frames` va de 9 a 1441. `constant_rate_factor` (de 0 a 51) comprime la entrada para ajustarla mejor a los datos de entrenamiento, y `loras` acepta pesos personalizados.

- Model id: `ltxv-13b-098-distilled/extend`
- Made by: Lightricks
- Category: Video to Video
- Output: video
- Price per second of your output video: from $0.02 / second of output video (cheapest run $0.02 (20 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltxv-13b-098-distilled/extend`
- Quote: `POST https://api.doitong.ru/v1/quote/ltxv-13b-098-distilled/extend`
- Docs page: https://doitong.com/es-ES/developers/models/ltxv-13b-098-distilled/extend

## Pricing

Price: **from $0.02 / second of output video** (the lowest tier; the quote prices your exact input). Price per second 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 $0.101 = 101 API credits (5.0417 s output video × $0.02).

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/ltxv-13b-098-distilled/extend` 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 |  |  | Instrucciones de texto que guían la generación. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Instrucciones de texto negativas para la generación. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Pesos de LoRA aplicados durante la generación. |
| `loras[].path` |  | string | yes |  |  | Ubicación de los pesos de LoRA, proporcionada como URL o ruta. |
| `loras[].weight_name` |  | string \| null | no |  |  | Nombre del peso de LoRA para seleccionar entre varios pesos en un repositorio de HuggingFace; solo es necesario en repositorios que contienen varios pesos. Esta configuración no tiene efecto a menos que `path` identifique un repositorio de HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplicador que escala el peso de LoRA al cargarse. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Resolución del vídeo de salida. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Relación de aspecto del vídeo. |
| `seed` |  | integer \| null | no |  |  | Semilla que controla la aleatoriedad durante la generación. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Número total de fotogramas del vídeo. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Número de pasos de inferencia de la primera pasada. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Número de pasos de inferencia de la segunda pasada. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Número inicial de pasos de inferencia que se omiten durante la segunda pasada, orientándola hacia el trabajo de detalle fino en lugar de hacia cambios a gran escala. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Frecuencia de fotogramas del vídeo. |
| `expand_prompt` |  | boolean | no | `false` |  | Ampliación del prompt mediante un modelo de lenguaje. |
| `reverse_video` |  | boolean | no | `false` |  | Inversión del orden de reproducción del vídeo. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Interruptor de comprobación de seguridad cuyo ajuste desactivado solo se respeta para cuentas autorizadas. Todas las solicitudes sin esa autorización pasan por comprobaciones de seguridad. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Segunda pasada de refinamiento opcional que mejora el detalle del vídeo cuando está activada. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Intensidad de normalización adaptativa de instancia (AdaIN), que equilibra la coherencia del color con valores altos frente a una mayor variación cromática con valores bajos. Opera sobre los fragmentos generados excepto el primero y normaliza las distribuciones de color en todo el vídeo para ayudar a contrarrestar el aumento progresivo de la saturación o el contraste. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Nivel de compresión del mapeo tonal, desde ninguna compresión en 0.0 hasta la compresión máxima en 1.0. Comprimir así el rango dinámico del vídeo mejora la calidad visual. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Factor de tasa constante (CRF) utilizado para la compresión de entrada, que puede mejorar la calidad del movimiento al acercar el contenido multimedia proporcionado a los datos de entrenamiento del modelo. |
| `video` |  | object {video_url, start_frame_num, strength, limit_num_frames, max_num_frames, resample_fps, target_fps, reverse_video} | yes |  |  | Vídeo de origen para la ampliación. |
| `video.video_url` |  | string (video URL) | yes |  |  | Vídeo de condicionamiento proporcionado mediante URL. |
| `video.start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Posición inicial del condicionamiento en el vídeo, especificada como un número de fotograma divisible entre 8. |
| `video.strength` |  | number | no | `1` | 0 – 1 | Intensidad del condicionamiento: 0.0 lo desactiva, mientras que 1.0 lo aplica por completo. |
| `video.limit_num_frames` |  | boolean | no | `false` |  | Interruptor del límite de fotogramas del vídeo: al activarlo, `max_num_frames` se convierte en el límite de fotogramas tomados del vídeo. |
| `video.max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | Límite de fotogramas utilizados del vídeo, donde None selecciona el vídeo completo en lugar de un número limitado de fotogramas. |
| `video.resample_fps` |  | boolean | no | `false` |  | Interruptor de conversión de la frecuencia de fotogramas del vídeo: al activarlo, remuestrea el vídeo a la frecuencia especificada por `target_fps`. |
| `video.target_fps` |  | integer | no | `24` | 1 – 60 | Frecuencia de fotogramas de remuestreo en FPS, aplicable solo con `resample_fps` activado. |
| `video.reverse_video` |  | boolean | no | `false` |  | Inversión del orden del vídeo para tareas que requieren que el condicionamiento siga los fotogramas hacia atrás. |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video": {
    "video_url": "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": {
    "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.ru/v1/run/ltxv-13b-098-distilled/extend?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": {
      "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.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/ltxv-13b-098-distilled/extend?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": {
      "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.ru/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": {
        "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/ltxv-13b-098-distilled/extend", 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": "ltxv-13b-098-distilled/extend",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "video": {
          "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": "ltxv-13b-098-distilled/extend",
  "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": 101,
    "usd": "0.101",
    "charged": 101,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video": {
      "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
    },
    "prompt": "Woman walking on a street in Tokyo",
    "seed": 42
  },
  "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} | Archivo de vídeo producido por la generación. |
| `prompt` | string | Prompt utilizado para generar la salida. |
| `seed` | integer | Valor de semilla aplicado durante la generación. |

## Related models

- [LTX-Video 13B 0.9.8 Distilled](https://doitong.com/developers/models/ltxv-13b-098-distilled.md) (`ltxv-13b-098-distilled`): from $0.02 / second of output video
- [LTX-Video 13B 0.9.8 Distilled · Image to Video](https://doitong.com/developers/models/ltxv-13b-098-distilled/image-to-video.md) (`ltxv-13b-098-distilled/image-to-video`): from $0.02 / second of output video
- [LTX-Video 13B 0.9.8 Distilled · Multiconditioning](https://doitong.com/developers/models/ltxv-13b-098-distilled/multiconditioning.md) (`ltxv-13b-098-distilled/multiconditioning`): from $0.02 / second of output video
- [Ltx 2.3](https://doitong.com/developers/models/ltx-2.3/reframe.md) (`ltx-2.3/reframe`): from $0.10 / second of input video
- [LTX 2.3 22B](https://doitong.com/developers/models/ltx-2.3-22b/reference-video-to-video/lora.md) (`ltx-2.3-22b/reference-video-to-video/lora`): $0.00181 / 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/ltxv-13b-098-distilled/extend
- 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=ltxv-13b-098-distilled/extend
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltxv-13b-098-distilled/extend