# LTX Video-0.9.7 13B Distilled · Extend API

> Podaljša obstoječi video s starejšim destiliranim modelom 0.9.7 13B in besedilnim pozivom

Nadaljuje posnetek, podan v `video`, z zahtevanim `prompt`. Izhod je 480p ali 720p, `aspect_ratio` pa auto, 9:16, 1:1 ali 16:9; `num_frames` je od 9 do 1441. `constant_rate_factor` (0 do 51) nadzoruje stiskanje vhoda, `loras` pa sprejema prilagojene uteži.

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

## Pricing

Price: **$0.04 / video**. Billed once per generated video.

The full example input below costs $0.04 = 40 API credits (1 video × 40 API credits).

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/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 |  |  | Besedilna navodila, ki usmerjajo generiranje. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Negativna besedilna navodila za generiranje. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Uteži LoRA, uporabljene med generiranjem. |
| `loras[].path` |  | string | yes |  |  | Mesto uteži LoRA, podano kot URL ali pot. |
| `loras[].weight_name` |  | string \| null | no |  |  | Ime uteži LoRA za izbiro med več utežmi v repozitoriju HuggingFace; potrebno je samo pri repozitorijih z več utežmi. Ta nastavitev nima učinka, razen če `path` določa repozitorij HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Množitelj, ki spremeni merilo uteži LoRA ob njenem nalaganju. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Ločljivost izhodnega videa. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Razmerje stranic videa. |
| `seed` |  | integer \| null | no |  |  | Začetna vrednost, ki nadzoruje naključnost med generiranjem. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Skupno število sličic videa. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Število korakov sklepanja za prvi prehod. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Število korakov sklepanja za drugi prehod. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Začetno število korakov sklepanja, izpuščenih med drugim prehodom, s čimer se ta prehod usmeri v delo na drobnih podrobnostih namesto v večje spremembe. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Hitrost sličic videa. |
| `expand_prompt` |  | boolean | no | `false` |  | Razširitev poziva prek jezikovnega modela. |
| `reverse_video` |  | boolean | no | `false` |  | Obrat vrstnega reda predvajanja videa. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Preklop preverjanja varnosti, pri katerem se nastavitev izklopa upošteva samo pri pooblaščenih računih. Vse zahteve brez tega pooblastila so varnostno preverjene. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Izbirni drugi prehod izboljšave, ki ob omogočenju izboljša podrobnosti videa. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Moč prilagodljive normalizacije primerkov (AdaIN), ki pri višjih nastavitvah uravnoteži skladnost barv, pri nižjih pa večjo barvno raznolikost. Deluje na generiranih kosih, razen na prvem, in normalizira porazdelitve barv po videu, da pomaga preprečiti postopno naraščanje nasičenosti ali kontrasta. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Raven stiskanja preslikave tonov, od brez stiskanja pri 0.0 do največjega stiskanja pri 1.0. Takšno stiskanje dinamičnega razpona videa izboljša vizualno kakovost. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Konstantni faktor hitrosti (CRF), uporabljen za stiskanje vhoda, ki lahko izboljša kakovost gibanja, saj priloženi medij približa učnim podatkom modela. |
| `video` |  | object {video_url, start_frame_num, strength, limit_num_frames, max_num_frames, resample_fps, target_fps, reverse_video} | yes |  |  | Izvorni video za razširitev. |
| `video.video_url` |  | string (video URL) | yes |  |  | Video za pogojevanje, posredovan prek URL-ja. |
| `video.start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Začetni položaj pogojevanja v videu, določen s številko sličice, deljivo z 8. |
| `video.strength` |  | number | no | `1` | 0 – 1 | Intenzivnost pogojevanja: 0.0 ga onemogoči, 1.0 pa ga uporabi v celoti. |
| `video.limit_num_frames` |  | boolean | no | `false` |  | Stikalo omejitve video sličic: z omogočanjem postane `max_num_frames` zgornja meja sličic, zajetih iz videa. |
| `video.max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | Zgornja meja uporabljenih video sličic, pri čemer None izbere celoten video namesto omejenega števila sličic. |
| `video.resample_fps` |  | boolean | no | `false` |  | Stikalo pretvorbe hitrosti video sličic: z omogočanjem se video znova vzorči s hitrostjo, določeno v `target_fps`. |
| `video.target_fps` |  | integer | no | `24` | 1 – 60 | Hitrost sličic za ponovno vzorčenje v FPS, ki velja samo, ko je omogočen `resample_fps`. |
| `video.reverse_video` |  | boolean | no | `false` |  | Obrat vrstnega reda videa za opravila, pri katerih mora pogojevanje slediti sličicam v obratni smeri. |

## 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.com/v1/run/ltx-video-13b-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.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/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.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",
    "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/ltx-video-13b-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.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/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": "ltx-video-13b-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": 40,
    "usd": "0.04",
    "charged": 40,
    "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.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 datoteka, ustvarjena z generiranjem. |
| `prompt` | string | Poziv, uporabljen za generiranje izhoda. |
| `seed` | integer | Vrednost semena, uporabljena pri generiranju. |

## Related models

- [LTX Video-0.9.7 13B Distilled](https://doitong.com/developers/models/ltx-video-13b-distilled.md) (`ltx-video-13b-distilled`): from $0.04 / second of output video
- [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 · 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 2.3](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/ltx-video-13b-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=ltx-video-13b-distilled/extend
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx-video-13b-distilled/extend