# LTX Video-0.9.7 13B Distilled · Multiconditioning API

> Video-to-video gova- ja videokonditioneremiin, LoRA-doarjagainn ja guokte-vuorru buorideapmi eaba dárbbašlaš detaljavuoruin

Ráhkada video dárbbašlaš `prompt` bokte, `images` ja `videos` konditionerema-inputaid stivrejumiin. Iežat LoRA:t sáhttet addojuvvot `loras`-s. Boađus lea 480p dahje 720p, `num_frames` 9 rájes 1441 rádjái ja `frame_rate` 1 rájes 60 rádjái. Vuosttaš ja nuppi vuoru sierra ceahkemearit, eaba dárbbašlaš detaljavuorru ja ivdnekontrollat nugo `temporal_adain_factor` divvet bohtosa.

- 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/se/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 |  |  | Teakstarávvagat mat stivrejit ráhkadeami. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Negatiivvalaš teakstarávvagat ráhkadeapmái. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | LoRA-veagat mat geavahuvvojit ráhkadeami oktavuođas. |
| `loras[].path` |  | string | yes |  |  | LoRA-veaga báiki, URL:n dahje bálgán. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA-deattu namma máŋgga deattu gaskkas válljemii HuggingFace-repos; dárbbašuvvo dušše repos mat doibmet máŋgga deattuiguin. Dát heivehus ii váikkuh go `path` ii čujot HuggingFace-repos. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Geardduheaddji mii skála LoRA-veaga go dat viežžojuvvo. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Boađusvideo resolušuvdna. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Video-aspektaratio. |
| `seed` |  | integer \| null | no |  |  | Seed mii stivre tilfeldlašvuođa ráhkadeamis. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Video rámmaid oppalaš lohku. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Inferensa-ceahkiid lohku vuosttaš geardde. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Inferensa-ceahkiid lohku nuppi geardde. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Vuosttaš inferensa-ceahkiid lohku mii guđđojuvvo eret nuppi geardde, vai dat čuohcá eanet dárkilvuođa bargui iige stuora rievdadusaide. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Video rámmajohtolat. |
| `expand_prompt` |  | boolean | no | `false` |  | Bivdda viiddideapmi giellamodeallain. |
| `reverse_video` |  | boolean | no | `false` |  | Video čájehanortnega jorgaleapmi. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Sihkarvuođa dárkkisteami molot; cokka-heivehus guldala dušše autoriserejuvvon kontuid. Buot jearaldagat haga dakkár autorisašuvnna dárkkistuvvojit. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Válljehahtti nubbi divvunmuttu, mii buorida video dárkilvuođa go dat lea jođus. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Adaptive instance normalization (AdaIN) nanaheapmi, mii alit árvvuin buorida ivnni ovttaláganvuođa ja unnit árvvuin diktá eanet ivdnemolsuma. Dat doaibmá ráhkaduvvon čuoggáin, vuosttaš čuoggá haga, ja normaliseret ivdnejuohkima miehtá videoi, vai sáhttá eastadit ivnni dahje kontrásta progrešivvalaš lassáneami. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Tone-mapping-komprešuvnna dási, 0.0 ii makkárge komprešuvdna gitta 1.0 maksima komprešuvdnii. Dán láhkai dynamihkalaš rájiid komprimeren buorida visuála kvalitehta. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Constant rate factor (CRF) mii geavahuvvo sisa-addi komprešuvdnii ja sáhttá buoridit lihkadeami kvalitehta, go media heivehuvvo modealla oahpahusdatai. |
| `images` |  | array of object {image_url, start_frame_num, strength} | no | `[]` |  | URL:ain addojuvvon kondišuvdnagovvát. |
| `images[].image_url` |  | string (image URL) | yes |  |  | URL:ain addojuvvon kondišuvdnagovva. |
| `images[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Govva-kondišuvnna álggahanbáiki, rámma-logun mii lea juohkásahtti 8:ain. |
| `images[].strength` |  | number | no | `1` | 0 – 1 | Kondišuvnna nanaheapmi: 0.0 časkkáda kondišuvnna, 1.0 geavaha dan ollásit. |
| `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 | `[]` |  | Video mat addojuvvojit kondišuvdnan. |
| `videos[].video_url` |  | string (video URL) | yes |  |  | URL:ain addojuvvon kondišuvdnvideo. |
| `videos[].conditioning_type` |  | enum (string) \| null | no | `rgb` | `rgb`, `depth`, `pose`, `canny` | Video-kondišuvnna kategoriija mii vállje ovdamearkka proseassa go dat lea jođus, ja geavaha in-context LoRA-veagaid riekta. |
| `videos[].preprocess` |  | boolean | no | `false` |  | Čájeha ovdamearkka vai video kondišuvdnatypa heive. RGB-kondišuvnna puhul ii rievdat maidege. |
| `videos[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Kondišuvnna álggahanbáiki videos, rámma-logun mii lea juohkásahtti 8:ain. |
| `videos[].strength` |  | number | no | `1` | 0 – 1 | Kondišuvnna nanaheapmi: 0.0 časkkáda kondišuvnna, 1.0 geavaha dan ollásit. |
| `videos[].limit_num_frames` |  | boolean | no | `false` |  | Video rámma-ráddjejuvvon heivehus: go dat lea jođus, `max_num_frames` šaddá videorámmaid alimus lohkun. |
| `videos[].max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | Video rámmaid geavaheami alimus lohku, mas None vállje olles video iige ráddjejuvvon rámma-logu. |
| `videos[].resample_fps` |  | boolean | no | `false` |  | Video rámmajohtolaga rievdadeami heivehus: go dat lea jođus, resamplá video `target_fps`-as meroštallon johtolahkii. |
| `videos[].target_fps` |  | integer | no | `24` | 1 – 60 | Resampling-rámmajohtolat FPS:in, geavahuvvo dušše go `resample_fps` lea jođus. |
| `videos[].reverse_video` |  | boolean | no | `false` |  | Video ortnega jorgaleapmi bargguide main kondišuvdna galgá čuovvut rámmaid maŋosguvlui. |

## 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} | Ráhkadeami bokte buvttaduvvon videofiila. |
| `prompt` | string | Bivdda mii geavahuvvui boađusa ráhkadeapmái. |
| `seed` | integer | Ráhkadeamis geavahuvvon sádjiárvu. |

## 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