# LTX Video-0.9.7 13B Distilled API

> Teksto vertimas į vaizdo įrašą naudojant senesnį distiliuotą 0.9.7 13B modelį, palaikantį LoRA ir didelį kadrų skaičių

Generuoja vaizdo įrašą iš privalomo `prompt`, naudodamas distiliuotą 0.9.7 modelį. Raiška yra 480p arba 720p, formato santykis – 9:16, 1:1 arba 16:9, o `num_frames` gali būti nuo 9 iki 1441, esant 1–60 fps. Kiekvienas iš dviejų atrankos etapų trunka nuo 2 iki 12 žingsnių. Galimi pasirinktiniai `loras`, papildomas detalių etapas ir raginimo išplėtimas.

- Model id: `ltx-video-13b-distilled`
- Made by: Lightricks
- Category: Text to Video
- Output: video
- Price per second of your output video: from $0.04 / second of output video (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx-video-13b-distilled`
- Quote: `POST https://api.doitong.com/v1/quote/ltx-video-13b-distilled`
- Docs page: https://doitong.com/lt/developers/models/ltx-video-13b-distilled

## Pricing

Price: **from $0.04 / 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 $0.202 = 202 API credits (5.0417 s output video × $0.04).

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-video-13b-distilled` 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 |  |  | Teksto instrukcijos, valdančios generavimą. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Neigiamosios teksto instrukcijos generavimui. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Generuojant taikomi LoRA svoriai. |
| `loras[].path` |  | string | yes |  |  | LoRA svorių vieta, pateikiama kaip URL arba kelias. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA svorio pavadinimas, skirtas pasirinkti iš kelių svorių HuggingFace saugykloje; būtinas tik saugykloms, kuriose yra keli svoriai. Šis nustatymas neturi poveikio, nebent `path` nurodo HuggingFace saugyklą. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Daugiklis, keičiantis LoRA svorio mastelį jį įkeliant. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Išvesties vaizdo įrašo raiška. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `9:16`, `1:1`, `16:9` | Galutinio vaizdo įrašo kraštinių santykis. |
| `seed` |  | integer \| null | no |  |  | Generavimo atsitiktinumą valdanti pradinė reikšmė. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Bendras vaizdo įrašo kadrų skaičius. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Pirmojo etapo išvedimo žingsnių skaičius. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Antrojo etapo išvedimo žingsnių skaičius. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Pradiniame išvedimo etape praleidžiamų žingsnių skaičius antrajame etape, nukreipiant jį į smulkių detalių tobulinimą, o ne didelio masto pakeitimus. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Vaizdo įrašo kadrų dažnis. |
| `expand_prompt` |  | boolean | no | `false` |  | Raginio išplėtimas naudojant kalbos modelį. |
| `reverse_video` |  | boolean | no | `false` |  | Vaizdo įrašo atkūrimo tvarkos apvertimas. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Saugos tikrinimo jungiklis, kurio išjungimo nustatymas taikomas tik autorizuotoms paskyroms. Visoms užklausoms be tokios autorizacijos taikomi saugos patikrinimai. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Pasirinktinis antrasis tobulinimo etapas, įjungtas pagerinantis vaizdo įrašo detales. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Adaptyvaus egzemplioriaus normalizavimo (AdaIN) stiprumas: didesnės reikšmės užtikrina spalvų vientisumą, mažesnės – didesnę spalvų įvairovę. Jis taikomas sugeneruotiems fragmentams, išskyrus pirmąjį, normalizuojant spalvų pasiskirstymą visame vaizdo įraše ir padedant slopinti laipsnišką sodrumo ar kontrasto didėjimą. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Tonų atvaizdavimo glaudinimo lygis: nuo neglaudinimo ties 0.0 iki maksimalaus glaudinimo ties 1.0. Taip glaudinant vaizdo įrašo dinaminį diapazoną pagerėja vaizdo kokybė. |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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-video-13b-distilled?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"
  }'

# 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-video-13b-distilled?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"
  }),
});
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",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ltx-video-13b-distilled", 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-video-13b-distilled",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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-video-13b-distilled",
  "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": 202,
    "usd": "0.202",
    "charged": 202,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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": "A cinematic fast-tracking shot follows a vintage, teal camper van as it descends a winding mountain trail. The van, slightly weathered but well-maintained, is the central focus, its retro design emphasized by the motion blur. Medium shot reveals the dusty, ochre trail, edged with vibrant green pine trees. Close-up on the van's tires shows the gravel spraying, highlighting the speed and rugged terrain. Sunlight filters through the trees, casting dappled shadows on the van and the trail. The background is a hazy, majestic mountain range bathed in warm, golden light. The overall mood is adventurous and exhilarating. High resolution 4k movie scene.",
    "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.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} | Generuojant sukurtas vaizdo įrašo failas. |
| `prompt` | string | Raginys, naudotas išvesčiai generuoti. |
| `seed` | integer | Generuojant taikoma pradinė reikšmė. |

## Related models

- [LTX Video-0.9.7 13B Distilled · Image to Video](https://doitong.com/developers/models/ltx-video-13b-distilled/image-to-video.md) (`ltx-video-13b-distilled/image-to-video`): from $0.04 / second of output video
- [LTX Video-0.9.7 13B Distilled · Extend](https://doitong.com/developers/models/ltx-video-13b-distilled/extend.md) (`ltx-video-13b-distilled/extend`): $0.04 / video
- [LTX Video-0.9.7 13B Distilled · Multiconditioning](https://doitong.com/developers/models/ltx-video-13b-distilled/multiconditioning.md) (`ltx-video-13b-distilled/multiconditioning`): from $0.04 / second of output video
- [LTX 2.5 Pro Text to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/pro.md) (`lightricks/ltx-2.5/text-to-video/pro`): from $0.12 / second
- [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
- [MiniMax H3 Text to Video](https://doitong.com/developers/models/minimax/h3/text-to-video.md) (`minimax/h3/text-to-video`): from $0.05 / second

## Links

- HTML page: https://doitong.com/developers/models/ltx-video-13b-distilled
- 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-video-13b-distilled
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx-video-13b-distilled