# LTX Video-0.9.7 13B Distilled · Multiconditioning API

> Bhidio-gu-bhidio le suidheachadh ìomhaigh is bhidio, taic LoRA agus leasachadh dà-pas le pas mion-fhiosrachaidh roghainneil

Cruthaichidh e bhidio bho `prompt` riatanach, fo stiùireadh nan in-churan suidheachaidh ann an `images` agus `videos`. Faodar LoRA gnàthaichte a chur seachad ann an `loras`. Tha an toradh 480p no 720p, le `num_frames` bho 9 gu 1441 agus `frame_rate` bho 1 gu 60. Leigidh àireamhan cheumannan fa leth airson a’ chiad agus an dàrna pas, pas mion-fhiosrachaidh roghainneil agus smachdan dhathan leithid `temporal_adain_factor` leat an toradh a ghleusadh.

- 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/gd/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 |  |  | Stiùiridhean teacsa a bhios a’ stiùireadh gineadh. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Stiùiridhean teacsa àicheil airson gineadh. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Cuideaman LoRA air an cur an sàs rè gineadh. |
| `loras[].path` |  | string | yes |  |  | Àite nan cuideaman LoRA, air a thoirt seachad mar URL no slighe. |
| `loras[].weight_name` |  | string \| null | no |  |  | Ainm cuideim LoRA airson taghadh am measg iomadh cuideim ann an stòras HuggingFace; chan eil feum air ach airson stòran anns a bheil iomadh cuideam. Chan eil buaidh aig an t-suidheachadh seo mura comharraich `path` stòras HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Iomadadair a bhios a’ sgèileadh cuideam LoRA nuair a thèid a luchdadh. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Dùmhlachd-bhreacaidh a’ bhidio às-chuir. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Co-mheas taobh a’ bhidio. |
| `seed` |  | integer \| null | no |  |  | Sìol a bhios a’ cumail smachd air air thuaiream rè gineadh. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Àireamh iomlan nam frèam airson a’ bhidio. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Àireamh cheumannan inference airson a’ chiad dol seachad. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Àireamh cheumannan inference airson an dàrna dol seachad. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Àireamh thùsail de cheumannan inference ri fàgail às rè an dàrna dol seachad, a’ gluasad an dol seachad sin a dh’ionnsaigh mion-fhiosrachadh seach atharrachaidhean mòra. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Ìre frèam a’ bhidio. |
| `expand_prompt` |  | boolean | no | `false` |  | Leudachadh prompt tro mhodail cànain. |
| `reverse_video` |  | boolean | no | `false` |  | Tionndadh òrdugh cluich a’ bhidio. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Toglaich sgrùdaidh sàbhailteachd nach eilear a’ toirt urram don t-suidheachadh dheth ach airson chunntasan ùghdarraichte. Thèid sgrùdaidhean sàbhailteachd a dhèanamh air gach iarrtas gun ùghdarras mar sin. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Dàrna dol seachad leasachaidh roghainneil a leasaicheas mion-fhiosrachadh a’ bhidio nuair a thèid a chur an comas. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Neart normalachaidh adaptive instance (AdaIN), a’ cothromachadh co-sheasmhachd dhathan aig suidheachaidhean àrda an aghaidh barrachd caochlaideachd dhathan aig suidheachaidhean ìosal. Bidh e ag obrachadh air cnapan gineadh ach a-mhàin a’ chiad fhear, ag àbhaisteachadh sgaoilidhean dhathan air feadh a’ bhidio gus cuideachadh le bhith a’ cur an aghaidh àrdachadh mean air mhean ann an sùghachd no coimeas. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Ìre teannachaidh mapadh tòna, bho gun teannachadh aig 0.0 gu teannachadh as motha aig 1.0. Le bhith a’ teannachadh raon fiùghantach a’ bhidio san dòigh seo leasaichear càileachd lèirsinneach. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Factar ìre sheasmhaich (CRF) a thèid a chleachdadh airson teannachadh in-chuir, a dh’fhaodadh càileachd gluasad a leasachadh le bhith a’ toirt na meadhanan a chaidh an toirt seachad nas fhaisge air dàta trèanaidh a’ mhodail. |
| `images` |  | array of object {image_url, start_frame_num, strength} | no | `[]` |  | Ìomhaighean-conditioning air an toirt seachad le URL. |
| `images[].image_url` |  | string (image URL) | yes |  |  | Ìomhaigh-conditioning air a thoirt seachad le URL. |
| `images[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Suidheachadh tòiseachaidh conditioning na h-ìomhaighe, air a shònrachadh le àireamh frèam a ghabhas roinn le 8. |
| `images[].strength` |  | number | no | `1` | 0 – 1 | Dianachd conditioning: tha 0.0 ga chur à comas, agus tha 1.0 ga chur an sàs gu h-iomlan. |
| `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 | `[]` |  | Bhidiothan air an toirt seachad airson conditioning. |
| `videos[].video_url` |  | string (video URL) | yes |  |  | Bhidio-conditioning air a thoirt seachad le URL. |
| `videos[].conditioning_type` |  | enum (string) \| null | no | `rgb` | `rgb`, `depth`, `pose`, `canny` | Roinn conditioning bhidio a thèid a chleachdadh gus an loidhne-phìob ro-ghiullachd a thaghadh nuair a tha ro-ghiullachd air, agus gus cuideaman LoRA in-context a chur an sàs gu ceart. |
| `videos[].preprocess` |  | boolean | no | `false` |  | Cuiridh e ro-ghiullachd an comas gus a bhith a rèir seòrsa conditioning a’ bhidio. Airson conditioning RGB, chan eil atharrachadh sam bith ann nuair a thèid a chur an comas. |
| `videos[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Suidheachadh tòiseachaidh conditioning sa bhidio, air a shònrachadh mar àireamh frèam a ghabhas roinn le 8. |
| `videos[].strength` |  | number | no | `1` | 0 – 1 | Dianachd conditioning: tha 0.0 ga chur à comas, agus tha 1.0 ga chur an sàs gu h-iomlan. |
| `videos[].limit_num_frames` |  | boolean | no | `false` |  | Tionndadh crìoch-frèam bhidio: le bhith ga chur an comas bidh `max_num_frames` na chrìoch air na frèaman a thèid a thoirt bhon bhidio. |
| `videos[].max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | Crìoch air cleachdadh frèaman bhidio, le None a’ taghadh a’ bhidio gu lèir seach àireamh frèam chuingealaichte. |
| `videos[].resample_fps` |  | boolean | no | `false` |  | Tionndadh ìre-frèam bhidio: le bhith ga chur an comas thèid am bhidio ath-shampladh aig an ìre a chaidh a shònrachadh le `target_fps`. |
| `videos[].target_fps` |  | integer | no | `24` | 1 – 60 | Ìre frèam ath-shamplachaidh ann an FPS, iomchaidh a-mhàin nuair a tha `resample_fps` air. |
| `videos[].reverse_video` |  | boolean | no | `false` |  | Tionndadh òrdugh a’ bhidio airson gnìomhan far am feum conditioning na frèaman a leantainn air ais. |

## 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} | Faidhle bhidio a chaidh a chruthachadh le gineadh. |
| `prompt` | string | Prompt a chaidh a chleachdadh gus an às-chur a ghineadh. |
| `seed` | integer | Luach sìl a chaidh a chur an sàs rè gineadh. |

## 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