# LTX Video-0.9.7 13B Distilled API

> Text-to-video yenye modeli ya zamani ya 0.9.7 distilled 13B, inayounga mkono LoRA na idadi ndefu ya fremu

Huunda video kutoka kwa `prompt` ya lazima kwa kutumia modeli iliyosafishwa ya 0.9.7. Mwonekano ni 480p au 720p, uwiano wa vipengele ni 9:16, 1:1 au 16:9, na `num_frames` inaweza kuwa 9 hadi 1441 kwa fps 1 hadi 60. Kila mojawapo ya hatua mbili za sampuli huchukua hatua 2 hadi 12. `loras` za hiari, hatua ya ziada ya maelezo na upanuzi wa kidokezo vinapatikana.

- 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/sw/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 |  |  | Maagizo ya maandishi yanayoongoza uzalishaji. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Maagizo hasi ya maandishi kwa uzalishaji. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Uzito wa LoRA unaotumika wakati wa uzalishaji. |
| `loras[].path` |  | string | yes |  |  | Mahali pa uzito wa LoRA, panayotolewa kama URL au njia. |
| `loras[].weight_name` |  | string \| null | no |  |  | Jina la uzani wa LoRA kwa kuchagua kati ya uzani wengi katika hazina ya HuggingFace; ni hazina zilizo na uzani wengi pekee zinahitaji hii. Mpangilio huu hauna athari isipokuwa `path` itambue hazina ya HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Kizidishi kinachopima uzito wa LoRA unapopakiwa. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Mwonekano wa video ya tokeo. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `9:16`, `1:1`, `16:9` | Uwiano wa pande wa video inayotokana. |
| `seed` |  | integer \| null | no |  |  | Mbegu inayodhibiti nasibu wakati wa uzalishaji. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Jumla ya idadi ya fremu za video. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Idadi ya hatua za uelekezaji kwa upitishaji wa kwanza. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Idadi ya hatua za uelekezaji kwa upitishaji wa pili. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Idadi ya awali ya hatua za uelekezaji za kuacha wakati wa upitishaji wa pili, ikielekeza upitishaji huo kwenye maelezo madogo badala ya mabadiliko makubwa. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Kasi ya fremu ya video. |
| `expand_prompt` |  | boolean | no | `false` |  | Upanuzi wa kidokezo kupitia modeli ya lugha. |
| `reverse_video` |  | boolean | no | `false` |  | Kubadilisha mpangilio wa uchezaji wa video. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Swichi ya ukaguzi wa usalama ambayo mpangilio wake wa kuzimwa huheshimiwa tu kwa akaunti zilizoidhinishwa. Maombi yote bila uidhinishaji huo hukaguliwa usalama. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Upitishaji wa pili wa hiari wa uboreshaji unaoboresha maelezo ya video unapowashwa. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Nguvu ya urekebishaji wa kawaida wa kisaidizi (AdaIN), inayosawazisha uthabiti wa rangi kwenye mipangilio ya juu dhidi ya utofauti mkubwa wa rangi kwenye mipangilio ya chini. Hufanya kazi kwenye vipande vilivyozalishwa isipokuwa cha kwanza, ikirekebisha mgawanyo wa rangi kote kwenye video ili kusaidia kukabili ongezeko la taratibu la mjazo au utofautishaji. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Kiwango cha mgandamizo wa ramani ya toni, kutoka bila mgandamizo kwenye 0.0 hadi mgandamizo wa juu kwenye 1.0. Kugandamiza masafa badilifu ya video kwa njia hii huboresha ubora wa kuona. |

## 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} | Faili ya video iliyozalishwa. |
| `prompt` | string | Kidokezo kilichotumika kutengeneza tokeo. |
| `seed` | integer | Thamani ya seed inayotumika wakati wa uzalishaji. |

## 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