# LTX Video-0.9.7 13B Distilled · Multiconditioning API

> Myndband-í-myndband með mynd- og myndbandsskilyrðingu, LoRA-stuðningi og tveggja lota fínun með valfrjálsri smáatriðalotu

Býr til myndband úr nauðsynlegu `prompt`, stýrt af skilyrðisgögnum í `images` og `videos`. Hægt er að senda sérsniðnar LoRA-viðbætur í `loras`. Úttakið er 480p eða 720p, með `num_frames` frá 9 til 1441 og `frame_rate` frá 1 til 60. Aðskilin skrefafjöldi fyrir fyrri og seinni lotu, valfrjáls smáatriðalota og litastýringar á borð við `temporal_adain_factor` gera kleift að fínstilla niðurstöðuna.

- Model id: `ltx-video-13b-distilled/multiconditioning`
- Made by: Lightricks
- Category: Video 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.ru/v1/run/ltx-video-13b-distilled/multiconditioning`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-video-13b-distilled/multiconditioning`
- Docs page: https://doitong.com/is/developers/models/ltx-video-13b-distilled/multiconditioning

## 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.ru/v1/quote/ltx-video-13b-distilled/multiconditioning` 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 |  |  | Textaleiðbeiningar sem stýra efnisgerð. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Neikvæðar textaleiðbeiningar fyrir efnisgerð. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | LoRA-vigtir sem notaðar eru við efnisgerð. |
| `loras[].path` |  | string | yes |  |  | Staðsetning LoRA-vigtanna, gefin upp sem URL eða slóð. |
| `loras[].weight_name` |  | string \| null | no |  |  | Heiti LoRA-vigtar til að velja milli margra vigta í HuggingFace-geymslu; aðeins geymslur með mörgum vigtum þurfa þetta. Þessi stilling hefur engin áhrif nema `path` auðkenni HuggingFace-geymslu. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Margfaldari sem skalar LoRA-vigtina þegar hún er hlaðin. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Upplausn úttaksmyndbandsins. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Myndhlutfall myndbands. |
| `seed` |  | integer \| null | no |  |  | Frægildi sem stýrir slembni við efnisgerð. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Heildarfjöldi ramma í myndbandinu. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Fjöldi ályktunarskrefa í fyrstu umferð. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Fjöldi ályktunarskrefa í annarri umferð. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Upphaflegur fjöldi ályktunarskrefa sem sleppa á í annarri umferð og beina henni að smáatriðavinnu fremur en stórfelldum breytingum. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Rammatíðni myndbandsins. |
| `expand_prompt` |  | boolean | no | `false` |  | Stækkun kvaðningar með mállíkani. |
| `reverse_video` |  | boolean | no | `false` |  | Snúningur spilunarröð myndbandsins við. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Öryggisathugunarrofi þar sem slökkt stilling er aðeins virt fyrir heimilaða reikninga. Allar beiðnir án þeirrar heimildar fara í öryggisathugun. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Valfrjáls önnur betrumbótaumferð sem bætir smáatriði myndbands þegar hún er virkjuð. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Styrkur aðlögunarhæfrar tilvikastöðlunar (AdaIN), sem jafnar litasamræmi við hærri gildi gegn meiri litabreytileika við lægri gildi. Hún vinnur á mynduðum hlutum nema þeim fyrsta og staðlar litadreifingu í öllu myndbandinu til að vinna gegn stigvaxandi aukningu á mettunarstigi eða birtuskilum. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Þjöppunarstig tónvörpunar, frá engri þjöppun við 0.0 til hámarksþjöppunar við 1.0. Þjöppun hreyfisviðs myndbandsins með þessum hætti bætir sjónræn gæði. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Fastur gæðastuðull (CRF) fyrir inntaksþjöppun, sem getur bætt hreyfigæði með því að færa gefið miðlunarefni nær þjálfunargögnum líkansins. |
| `images` |  | array of object {image_url, start_frame_num, strength} | no | `[]` |  | Skilyrðismyndir gefnar upp með URL. |
| `images[].image_url` |  | string (image URL) | yes |  |  | Skilyrðismynd gefin upp með URL. |
| `images[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Upphafsstaða myndskilyrðingar, tilgreind með rammatölu sem deilist með 8. |
| `images[].strength` |  | number | no | `1` | 0 – 1 | Skilyrðisstyrkur: 0.0 slekkur á skilyrðingu en 1.0 beitir henni að fullu. |
| `videos` |  | array of object {video_url, conditioning_type, preprocess, start_frame_num, strength, limit_num_frames, max_num_frames, resample_fps, target_fps, reverse_video} | no | `[]` |  | Myndbönd gefin upp fyrir skilyrðingu. |
| `videos[].video_url` |  | string (video URL) | yes |  |  | Skilyrðismyndband gefið upp með URL. |
| `videos[].conditioning_type` |  | enum (string) \| null | no | `rgb` | `rgb`, `depth`, `pose`, `canny` | Flokkur myndbandsskilyrðingar sem notaður er til að velja forvinnsluleið þegar forvinnsla er virk og beita LoRA-vigtum í samhengi á réttan hátt. |
| `videos[].preprocess` |  | boolean | no | `false` |  | Virkjar forvinnslu til að passa við skilyrðingargerð myndbandsins. Fyrir RGB-skilyrðingu veldur virkjun hennar engum breytingum. |
| `videos[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Upphafsstaða skilyrðingar í myndbandinu, tilgreind sem rammatala sem deilist með 8. |
| `videos[].strength` |  | number | no | `1` | 0 – 1 | Skilyrðisstyrkur: 0.0 slekkur á skilyrðingu en 1.0 beitir henni að fullu. |
| `videos[].limit_num_frames` |  | boolean | no | `false` |  | Rammarammatak myndbands: þegar það er virkt verður `max_num_frames` hámark ramma sem teknir eru úr myndbandinu. |
| `videos[].max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | Hámark ramma sem nota á úr myndbandinu, þar sem None velur allt myndbandið í stað takmarkaðs fjölda ramma. |
| `videos[].resample_fps` |  | boolean | no | `false` |  | Rammatíðniumbreyting myndbands: þegar hún er virk er myndbandið endursýnað með tíðninni sem `target_fps` tilgreinir. |
| `videos[].target_fps` |  | integer | no | `24` | 1 – 60 | Rammatíðni endursýnatöku í FPS, aðeins notuð þegar `resample_fps` er virkt. |
| `videos[].reverse_video` |  | boolean | no | `false` |  | Snúningur röð myndbandsins við fyrir verkefni þar sem skilyrðing þarf að fylgja römmunum aftur á bak. |

## 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.ru/v1/run/ltx-video-13b-distilled/multiconditioning?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.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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/multiconditioning?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.ru/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/multiconditioning", 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.ru/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/multiconditioning",
      "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/multiconditioning",
  "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 vibrant, abstract composition featuring a person with outstretched arms, rendered in a kaleidoscope of colors against a deep, dark background. The figure is composed of intricate, swirling patterns reminiscent of a mosaic, with hues of orange, yellow, blue, and green that evoke the style of artists such as Wassily Kandinsky or Bridget Riley. The camera zooms into the face striking portrait of a man, reimagined through the lens of old-school video-game graphics. The subject's face is rendered in a kaleidoscope of colors, with bold blues and reds set against a vibrant yellow backdrop. His dark hair is pulled back, framing his profile in a dramatic pose.",
    "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | Myndbandsskrá sem verður til við efnisgerð. |
| `prompt` | string | Kvaðningin sem notuð var til að búa til úttakið. |
| `seed` | integer | Sáðgildi sem beitt er við efnisgerð. |

## 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 · Extend](https://doitong.com/developers/models/ltx-video-13b-distilled/extend.md) (`ltx-video-13b-distilled/extend`): $0.04 / 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/multiconditioning
- 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/multiconditioning
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltx-video-13b-distilled/multiconditioning