# LTX Video-0.9.7 13B Distilled API

> טעקסט־צו־ווידעא מיטן עלטערן 0.9.7 דיסטילירטן 13B מאָדעל, מיט שטיצע פֿאַר LoRAs און לאַנגע ראַם־צאָלן

גענערירט ווידעא פֿון אַ נייטיקן `prompt` מיטן 0.9.7 דיסטילירטן מאָדעל. רעזאָלוציע איז 480p אָדער 720p, אַספּעקט־פֿאַרהעלטעניש 9:16, 1:1 אָדער 16:9, און `num_frames` קען זײַן 9 ביז 1441 בײַ 1 ביז 60 fps. יעדער פֿון די צוויי סאַמפּלינג־פּאַסן נעמט 2 ביז 12 שריט. אָפּציאָנעלע `loras`, אַן נאָך דעטאַל־פּאַס און פּראָמפּט־פֿאַרברייטערונג זענען בנימצא.

- 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/yi/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 |  |  | טעקסט־אינסטרוקציעס וואָס גיידן די גענערירונג. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | נעגאַטיווע טעקסט־אינסטרוקציעס פֿאַר גענערירונג. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | LoRA־ווייכטן וואָס ווערן געווענדט בעת דער גענערירונג. |
| `loras[].path` |  | string | yes |  |  | אָרט פֿון די LoRA־ווייכטן, ווי URL אָדער פּאַט. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA־וואָגונג־נאָמען פֿאַר אויסקלײַבן צווישן קייפל וואָגונגען אין אַ HuggingFace־רעפּאַזאַטאָריע; נאָר רעפּאַזאַטאָריעס מיט קייפל וואָגונגען דאַרפֿן עס. די באַשטימונג האָט קיין ווירקונג סיידן `path` אידענטיפֿיצירט אַ HuggingFace־רעפּאַזאַטאָריע. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | מולטיפּליקאַטאָר וואָס סקיילט דעם LoRA־וואָג בײַם לאָדן. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | רעזאָלוציע פֿאַרן רעזולטאַט־ווידעא. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `9:16`, `1:1`, `16:9` | אַספּעקט־פאַרהעלטעניש פון דער רעזולטירנדיקער ווידעא. |
| `seed` |  | integer \| null | no |  |  | Seed וואָס קאָנטראָלירט צופֿעליקייט בעת דער גענערירונג. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | גאַנצע צאָל ראַמען פֿאַר דער ווידעא. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | צאָל inference־שטאַפּלען פֿאַרן ערשטן פּאַס. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | צאָל inference־שטאַפּלען פֿאַרן צווייטן פּאַס. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | ערשטע inference־שטאַפּלען וואָס מען לאָזט אויס אינעם צווייטן פּאַס, כּדי צו פאָקוסירן אויף פֿײַנע דעטאַלן. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | ראַם־קורס פֿאַר דער ווידעא. |
| `expand_prompt` |  | boolean | no | `false` |  | פּראָמפּט־יקספּאַנשאַן דורך אַ שפּראַך־מאָדעל. |
| `reverse_video` |  | boolean | no | `false` |  | אומקערונג פֿון דער ווידעא־פּלייבאַק־סדר. |
| `enable_safety_checker` |  | boolean | no | `true` |  | זיכערקייט־קאָנטראָל־שאַלטער וועמענס אויסגעשאַלטענע באַשטעטיקונג ווערט מכובד נאָר פֿאַר אָטעריזירטע אַקאַונטן. אַלע בקשות אָן דער אָטעריזאַציע דורכגיין זיכערקייט־קאָנטראָלן. |
| `enable_detail_pass` |  | boolean | no | `false` |  | אָפּציאָנאַלע צווייטע פֿאַרפֿינערונגס־דורכגאַנג פֿאַר בעסערן ווידעא־דעטאַל. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Adaptive instance normalization (AdaIN)־שטאַרקייט, וואָס באַלאַנסירט קאָליר־קאָנסיסטענץ און קאָליר־וועריאַציע. זי נאָרמאַליזירט קאָליר־פאַרשפּרייטונגען אין דער ווידעא. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Tone-mapping־קאָמפּרעסיע־מדרגה, פֿון 0.0 אָן קאָמפּרעסיע ביז 1.0 מאַקסימום קאָמפּרעסיע. |

## 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} | ווידעא־פֿײַל געשאַפֿן דורך גענערירונג. |
| `prompt` | string | פּראָמפּט וואָס איז געניצט געוואָרן צו גענערירן דעם רעזולטאַט. |
| `seed` | integer | סיד־ווערט וואָס ווערט געווענדט בעת גענערירונג. |

## 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