# LTX Video-0.9.7 13B Distilled · Extend API

> Forlænger en eksisterende video med den destillerede 0.9.7 13B-model og en tekstprompt

Fortsætter klippet angivet i `video`, styret af en påkrævet `prompt`. Output er 480p eller 720p med `aspect_ratio` auto, 9:16, 1:1 eller 16:9, og `num_frames` fra 9 til 1441. `constant_rate_factor` (0 til 51) styrer inputkomprimering, og `loras` accepterer brugerdefinerede vægte.

- 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/da/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 |  |  | Tekstinstruktioner, der styrer genereringen. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Negative tekstinstruktioner til genereringen. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | LoRA-vægte, der anvendes under genereringen. |
| `loras[].path` |  | string | yes |  |  | Placering af LoRA-vægtene angivet som en URL eller sti. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA-vægtnavn til valg mellem flere vægte i et HuggingFace-repository; kun repositories med flere vægte kræver det. Indstillingen har ingen effekt, medmindre `path` identificerer et HuggingFace-repository. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplikator, der skalerer LoRA-vægten, når den indlæses. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Opløsning for outputvideoen. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Videoens højde-bredde-forhold. |
| `seed` |  | integer \| null | no |  |  | Seed, der styrer tilfældigheden under genereringen. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Samlet antal frames i videoen. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Antal inferenstrin for første gennemløb. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Antal inferenstrin for andet gennemløb. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Indledende antal inferenstrin, der udelades under andet gennemløb, så dette gennemløb fokuserer mere på fine detaljer end på store ændringer. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Framerate for videoen. |
| `expand_prompt` |  | boolean | no | `false` |  | Promptudvidelse via en sprogmodel. |
| `reverse_video` |  | boolean | no | `false` |  | Vending af videoens afspilningsrækkefølge. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Kontakt til sikkerhedskontrol, hvis deaktiverede indstilling kun respekteres for godkendte konti. Alle anmodninger uden denne godkendelse gennemgår sikkerhedskontrol. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Valgfrit andet forbedringsgennemløb, der forbedrer videodetaljer, når det aktiveres. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Styrke for adaptiv instansnormalisering (AdaIN), der afvejer farvekonsistens ved højere indstillinger mod større farvevariation ved lavere indstillinger. Den anvendes på genererede bidder bortset fra den første og normaliserer farvefordelinger gennem hele videoen for at modvirke en gradvis stigning i mætning eller kontrast. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Komprimeringsniveau for tonemapping, fra ingen komprimering ved 0.0 til maksimal komprimering ved 1.0. Denne komprimering af videoens dynamiske område forbedrer den visuelle kvalitet. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Constant rate factor (CRF), der bruges til inputkomprimering og kan forbedre bevægelseskvaliteten ved at bringe de leverede medier tættere på modellens træningsdata. |
| `video` |  | object {video_url, start_frame_num, strength, limit_num_frames, max_num_frames, resample_fps, target_fps, reverse_video} | yes |  |  | Kildevideo til forlængelse. |
| `video.video_url` |  | string (video URL) | yes |  |  | Konditioneringsvideo leveret via URL. |
| `video.start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Konditioneringens startposition i videoen angivet som et framenummer, der kan divideres med 8. |
| `video.strength` |  | number | no | `1` | 0 – 1 | Konditioneringsintensitet: 0.0 deaktiverer konditionering, mens 1.0 anvender den fuldt ud. |
| `video.limit_num_frames` |  | boolean | no | `false` |  | Kontakt for videoframegrænse: aktivering gør `max_num_frames` til grænsen for frames, der hentes fra videoen. |
| `video.max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | Grænse for antal videoframes, der må bruges, hvor None vælger hele videoen i stedet for et begrænset frameantal. |
| `video.resample_fps` |  | boolean | no | `false` |  | Kontakt for konvertering af videoframerate: aktivering omsampler videoen med den rate, der er angivet af `target_fps`. |
| `video.target_fps` |  | integer | no | `24` | 1 – 60 | Framerate ved omsampling i FPS, kun gældende når `resample_fps` er aktiveret. |
| `video.reverse_video` |  | boolean | no | `false` |  | Vending af videoens rækkefølge til opgaver, hvor konditioneringen skal følge frames baglæns. |

## 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} | Videofil produceret ved generering. |
| `prompt` | string | Prompten, der blev brugt til at generere outputtet. |
| `seed` | integer | Seed-værdi anvendt under generering. |

## 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