# LTX Video-0.9.7 13B Distilled · Multiconditioning API

> Ataata-ki-te-ataata me te whakarite whakaahua me te ataata, te tautoko LoRA me te whakapai e rua ngā paahitanga me te paahitanga taipitopito kōwhiringa

Ka hanga ataata mai i te `prompt` e hiahiatia ana, e ārahina ana e ngā tāuru whakarite kei `images` me `videos`. Ka taea te tuku LoRA ritenga ki `loras`. Ko te putanga he 480p, 720p rānei, me `num_frames` mai i te 9 ki te 1441 me `frame_rate` mai i te 1 ki te 60. Mā ngā tatau kaupae motuhake mō te paahitanga tuatahi me te tuarua, he paahitanga taipitopito kōwhiringa me ngā whakahaere tae pērā i `temporal_adain_factor` e taea ai te whakatikatika i te hua.

- 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/mi/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 |  |  | Ngā tohutohu kuputuhi hei ārahi i te whakaputanga. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Ngā tohutohu kuputuhi tōraro mō te whakaputanga. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Ngā taumahatanga LoRA ka whakamahia i te whakaputanga. |
| `loras[].path` |  | string | yes |  |  | Te wāhi o ngā taumahatanga LoRA, ka hoatu hei URL, ara rānei. |
| `loras[].weight_name` |  | string \| null | no |  |  | Ingoa taumaha LoRA hei kōwhiri i waenga i ngā taumaha maha i tētahi putunga HuggingFace; ko ngā putunga maha noa iho e hiahia ana ki tēnei. Kāore tēnei tautuhinga e whai pānga ki te kore te `path` e tohu ki tētahi putunga HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | He whakarea e whakarahi ana i te taumaha LoRA i te wā e utaina ana. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Taumira mō te ataata putanga. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Te ōwehenga āhuatanga o te ataata. |
| `seed` |  | integer \| null | no |  |  | Te kākano e whakahaere ana i te matapōkeretanga i te whakaputanga. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Te tatau anga katoa mō te ataata. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Te tatau hipanga whakatau mō te rerenga tuatahi. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Te tatau hipanga whakatau mō te rerenga tuarua. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Te tatau tīmatanga o ngā hipanga whakatau hei waiho i te rerenga tuarua, kia anga taua rerenga ki ngā taipitopito pai, kaua ki ngā panoni whānui. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Te tere anga mō te ataata. |
| `expand_prompt` |  | boolean | no | `false` |  | Te whakawhānui tohutohu mā tētahi tauira reo. |
| `reverse_video` |  | boolean | no | `false` |  | Te whakamuri i te raupapa purei o te ataata. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Whakakā/whakaweto tirotiro haumaru, ā, ka whakamanahia te whakaweto mō ngā pūkete whai mana anake. Ka tirohia te haumaru o ngā tono katoa kāore he mana pēnei. |
| `enable_detail_pass` |  | boolean | no | `false` |  | He rerenga whakapai anō kōwhiringa hei whakapai i ngā taipitopito ataata ina whakakāhia. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Te kaha whakarite tauira ā-ao urutau (AdaIN), e whakataurite ana i te ōritetanga tae i ngā tautuhinga teitei ki te rerekētanga tae nui ake i ngā tautuhinga iti. Ka mahi ki ngā poro kua whakaputaina, hāunga te tuatahi, mā te whakarite i ngā tohatoha tae puta noa i te ataata hei āwhina ki te aukati i te pikinga haere o te kukū, te rerekētanga rānei. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Te taumata kōpeketanga mahere-tono, mai i te kore kōpeketanga i te 0.0 ki te kōpeketanga mōrahi i te 1.0. Mā te kōpeke i te awhe hihiri o te ataata pēnei ka pai ake te kounga tirohanga. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Te tauwehe tere pūmau (CRF) mō te kōpeketanga tāuru, tērā pea ka pai ake te kounga nekehanga mā te whakatata i ngā pāpāho kua tukuna ki ngā raraunga whakangungu a te tauira. |
| `images` |  | array of object {image_url, start_frame_num, strength} | no | `[]` |  | Ngā atahanga whakarite i tukuna mā te URL. |
| `images[].image_url` |  | string (image URL) | yes |  |  | He atahanga whakarite i tukuna mā te URL. |
| `images[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Te tūnga tīmatanga whakarite atahanga, ka tohua mā te tau anga ka wehea pū ki te 8. |
| `images[].strength` |  | number | no | `1` | 0 – 1 | Te kaha whakarite: mā te 0.0 e mono te whakarite, mā te 1.0 e whakamahi katoatia. |
| `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 | `[]` |  | Ngā ataata i tukuna mō te whakarite. |
| `videos[].video_url` |  | string (video URL) | yes |  |  | He ataata whakarite i tukuna mā te URL. |
| `videos[].conditioning_type` |  | enum (string) \| null | no | `rgb` | `rgb`, `depth`, `pose`, `canny` | Te kāwai whakarite ataata hei kōwhiri i te paipa tukatuka-mua ina whakakāhia te tukatuka-mua, me te whakamahi tika i ngā taumahatanga LoRA ā-horopaki. |
| `videos[].preprocess` |  | boolean | no | `false` |  | Ka whakakā i te tukatuka-mua kia ōrite ki te momo whakarite o te ataata. Mō te whakarite RGB, kāore he panoni e mahia ana. |
| `videos[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Te tūnga tīmatanga whakarite i te ataata, ka tohua hei tau anga ka wehea pū ki te 8. |
| `videos[].strength` |  | number | no | `1` | 0 – 1 | Te kaha whakarite: mā te 0.0 e mono te whakarite, mā te 1.0 e whakamahi katoatia. |
| `videos[].limit_num_frames` |  | boolean | no | `false` |  | He whakakā here-anga ataata: ina whakakāhia, ka noho `max_num_frames` hei mōrahi mō ngā anga ka tangohia mai i te ataata. |
| `videos[].max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | Te mōrahi anga ka whakamahia mai i te ataata; mā None e tīpako te ataata katoa, kaua ko tētahi tatau anga kua herea. |
| `videos[].resample_fps` |  | boolean | no | `false` |  | He whakakā panoni tere-anga ataata: ina whakakāhia, ka tauira anō te ataata ki te tere kua tohua e `target_fps`. |
| `videos[].target_fps` |  | integer | no | `24` | 1 – 60 | Te tere anga mō te tauira anō i te FPS, ka whai pānga anake ina whakakāhia `resample_fps`. |
| `videos[].reverse_video` |  | boolean | no | `false` |  | Te whakamuri i te raupapa ataata mō ngā mahi me whai te whakarite i ngā anga whakamuri. |

## 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} | Te kōnae ataata i whakaputaina. |
| `prompt` | string | Te tohutohu i whakamahia hei whakaputa i te putanga. |
| `seed` | integer | Te uara kākano i whakamahia i te whakaputanga. |

## 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