# LTX Video-0.9.7 13B Distilled API

> Text-zu-Video mam eeleren destilléierte 0.9.7-13B-Model, mat Ënnerstëtzung fir LoRAs a laang Framezuelen

Generéiert Video aus engem erfuerderleche `prompt` mam destilléierte 0.9.7-Model. D'Resolutioun ass 480p oder 720p, d'Bildformat 9:16, 1:1 oder 16:9, an `num_frames` ka bei 1 bis 60 fps vun 9 bis 1441 goen. Jiddereng vun den zwee Sampling-Duerchleef dauert 2 bis 12 Schrëtt. Optional `loras`, en zousätzlechen Detail-Duerchlaf a Prompt-Erweiderung si verfügbar.

- 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/lb/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 |  |  | Textinstruktiounen, déi d'Generatioun steieren. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Negativ Textinstruktioune fir d'Generatioun. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | LoRA-Gewiichter, déi während der Generatioun applizéiert ginn. |
| `loras[].path` |  | string | yes |  |  | Plaz vun de LoRA-Gewiichter, als URL oder Pad uginn. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA-Gewiichtsnumm fir tëscht méi Gewiichter an engem HuggingFace-Repository ze wielen; nëmme Repositories mat méi Gewiichter brauchen dëst. D'Astellung huet keen Effekt, ausser `path` identifizéiert en HuggingFace-Repository. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplikator, deen d'LoRA-Gewiicht beim Luede skaliéiert. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Opléisung vum Output-Video. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `9:16`, `1:1`, `16:9` | Bildformat vum resultéierende Video. |
| `seed` |  | integer \| null | no |  |  | Seed, deen d'Zoufällegkeet während der Generatioun steiert. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Gesamtzuel vu Frames fir de Video. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Zuel vun den Inferenzschrëtt fir den éischten Duerchlaf. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Zuel vun den Inferenzschrëtt fir den zweeten Duerchlaf. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Initial Zuel vun Inferenzschrëtt, déi am zweeten Duerchlaf iwwerspronge ginn, sou datt dësen Duerchlaf méi op fein Detailer amplaz op grouss Ännerunge fokusséiert. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Frame-Rate vum Video. |
| `expand_prompt` |  | boolean | no | `false` |  | Prompt-Erweiderung duerch e Sproochemodell. |
| `reverse_video` |  | boolean | no | `false` |  | Ëmdréie vun der Ofspillreiefolleg vum Video. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Schalter fir d'Sécherheetskontroll, deem seng ausgeschalt Astellung nëmme fir autoriséiert Konten respektéiert gëtt. All Ufro ouni dës Autorisatioun gëtt enger Sécherheetskontroll ënnerzunn. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Optionalen zweeten Verfeinerungsduerchlaf, deen d'Videodetailer beim Aktivéiere verbessert. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Stäerkt vun der adaptiver Instanznormaliséierung (AdaIN), déi bei méi héijen Astellunge Faarwkohärenz géint méi grouss Faarfvariatioun bei méi niddregen Astellunge ofwiicht. Si wierkt op generéierte Chunks ausser dem éischten a normaliséiert d'Faarfverdeelungen am ganze Video, fir engem progressive Steigerung vun der Sättigung oder dem Kontrast entgéintzewierken. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Kompressiounsniveau vum Tone-Mapping, vun 0.0 ouni Kompressioun bis 1.0 mat maximaler Kompressioun. D'Kompressioun vum dynamesche Beräich vum Video verbessert esou d'visuell Qualitéit. |

## 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} | Video-Datei, déi duerch d'Generatioun erstallt gouf. |
| `prompt` | string | Prompt, dee fir d'Generatioun vum Output benotzt gouf. |
| `seed` | integer | Seed-Wäert, deen während der Generatioun applizéiert gouf. |

## 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