# LTX Video-0.9.7 13B Distilled · Multiconditioning API

> Video-to-video b’kondizzjonament ta’ immaġni u vidjo, appoġġ għal LoRA u rfinar b’żewġ passi b’pass fakultattiv tad-dettall

Jiġġenera vidjo minn `prompt` meħtieġ, iggwidat minn inputs ta’ kondizzjonament f’`images` u `videos`. LoRAs personalizzati jistgħu jgħaddu f’`loras`. L-output huwa 480p jew 720p, b’`num_frames` minn 9 sa 1441 u `frame_rate` minn 1 sa 60. Għaddijiet separati ta’ passi għall-ewwel u t-tieni pass, pass fakultattiv tad-dettall u kontrolli tal-kulur bħal `temporal_adain_factor` jippermettu l-irfinar tar-riżultat.

- 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/mt/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 |  |  | Istruzzjonijiet testwali li jiggwidaw il-ġenerazzjoni. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Istruzzjonijiet testwali negattivi għall-ġenerazzjoni. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Piżijiet LoRA applikati waqt il-ġenerazzjoni. |
| `loras[].path` |  | string | yes |  |  | Post tal-piżijiet LoRA, mogħti bħala URL jew mogħdija. |
| `loras[].weight_name` |  | string \| null | no |  |  | Isem tal-piż tal-LoRA għall-għażla bejn piżijiet multipli f'repożitorju HuggingFace; meħtieġ biss għal repożitorji b'piżijiet multipli. Dan is-setting m'għandu l-ebda effett sakemm `path` ma jidentifikax repożitorju HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplikatur li jiskala l-piż LoRA hekk kif jitgħabba. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Riżoluzzjoni tal-vidjo output. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Proporzjon tal-aspett tal-vidjo. |
| `seed` |  | integer \| null | no |  |  | Seed li jikkontrolla l-każwalità waqt il-ġenerazzjoni. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Għadd totali ta' frejms għall-vidjo. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Għadd ta' passi ta' inferenza għall-ewwel pass. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Għadd ta' passi ta' inferenza għat-tieni pass. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Għadd inizjali ta' passi ta' inferenza li jitħallew barra matul it-tieni pass, u b'hekk dak il-pass jiffoka fuq xogħol ta' dettall finflok bidliet fuq skala kbira. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Rata tal-frejms għall-vidjo. |
| `expand_prompt` |  | boolean | no | `false` |  | Espansjoni tal-prompt permezz ta' mudell tal-lingwa. |
| `reverse_video` |  | boolean | no | `false` |  | Treġġigħ lura tal-ordni tal-qari tal-vidjo. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Swiċċ tal-verifika tas-sikurezza li s-setting mitfi tiegħu jiġi rispettat biss għal kontijiet awtorizzati. It-talbiet kollha mingħajr dik l-awtorizzazzjoni jgħaddu minn verifiki tas-sikurezza. |
| `enable_detail_pass` |  | boolean | no | `false` |  | It-tieni pass fakultattiv ta' raffinar li jtejjeb id-dettall tal-vidjo meta jkun attivat. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Saħħa tan-normalizzazzjoni adattiva tal-istanzi (AdaIN), li tibbilanċja konsistenza akbar tal-kulur f'issettjar għoli ma' varjazzjoni akbar tal-kulur f'issettjar baxx. Taħdem fuq chunks ġġenerati ħlief l-ewwel wieħed, u tinnormalizza d-distribuzzjonijiet tal-kulur matul il-vidjo biex tgħin tikkontrobatti żieda progressiva fis-saturazzjoni jew fil-kuntrast. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Livell tal-kompressjoni tat-tone mapping, minn ebda kompressjoni f'0.0 sa kompressjoni massima f'1.0. Il-kompressjoni tal-medda dinamika tal-vidjo b'dan il-mod ittejjeb il-kwalità viżiva. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Fattur ta' rata kostanti (CRF) użat għall-kompressjoni tal-input, li jista' jtejjeb il-kwalità tal-moviment billi jqarreb il-midja pprovduta lejn id-dejta tat-taħriġ tal-mudell. |
| `images` |  | array of object {image_url, start_frame_num, strength} | no | `[]` |  | Immaġnijiet ta' kundizzjonament ipprovduti permezz ta' URL. |
| `images[].image_url` |  | string (image URL) | yes |  |  | Immaġni ta' kundizzjonament ipprovduta permezz ta' URL. |
| `images[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Pożizzjoni tal-bidu tal-kundizzjonament tal-immaġni, speċifikata permezz ta' numru ta' frejm diviżibbli bi 8. |
| `images[].strength` |  | number | no | `1` | 0 – 1 | Intensità tal-kundizzjonament: 0.0 tiddiżattiva l-kundizzjonament, filwaqt li 1.0 japplikah kompletament. |
| `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 | `[]` |  | Vidjos ipprovduti għall-kundizzjonament. |
| `videos[].video_url` |  | string (video URL) | yes |  |  | Vidjo ta' kundizzjonament ipprovdut permezz ta' URL. |
| `videos[].conditioning_type` |  | enum (string) \| null | no | `rgb` | `rgb`, `depth`, `pose`, `canny` | Kategorija tal-kundizzjonament tal-vidjo użata biex tagħżel il-pipeline tal-ipproċessar minn qabel meta dan ikun attivat, u biex tapplika b'mod korrett il-piżijiet LoRA fil-kuntest. |
| `videos[].preprocess` |  | boolean | no | `false` |  | Jattiva l-ipproċessar minn qabel biex jaqbel mat-tip ta' kundizzjonament tal-vidjo. Għall-kundizzjonament RGB, l-attivazzjoni tiegħu ma tagħmel ebda bidla. |
| `videos[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Pożizzjoni tal-bidu tal-kundizzjonament fil-vidjo, speċifikata bħala numru ta' frejm diviżibbli bi 8. |
| `videos[].strength` |  | number | no | `1` | 0 – 1 | Intensità tal-kundizzjonament: 0.0 tiddiżattiva l-kundizzjonament, filwaqt li 1.0 japplikah kompletament. |
| `videos[].limit_num_frames` |  | boolean | no | `false` |  | Swiċċ tal-limitu tal-frejms tal-vidjo: meta jiġi attivat, `max_num_frames` isir il-limitu tal-frejms meħuda mill-vidjo. |
| `videos[].max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | Limitu tal-frejms tal-vidjo li jintużaw, fejn None jagħżel il-vidjo kollu minflok għadd limitat ta' frejms. |
| `videos[].resample_fps` |  | boolean | no | `false` |  | Swiċċ tal-konverżjoni tar-rata tal-frejms tal-vidjo: meta jiġi attivat, jerġa' jirrata l-vidjo bir-rata speċifikata minn `target_fps`. |
| `videos[].target_fps` |  | integer | no | `24` | 1 – 60 | Rata tal-frejms għar-ratatura mill-ġdid f'FPS, applikabbli biss meta `resample_fps` ikun attivat. |
| `videos[].reverse_video` |  | boolean | no | `false` |  | Treġġigħ lura tal-ordni tal-vidjo għal kompiti li jeħtieġu li l-kundizzjonament isegwi l-frejms lura. |

## 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} | Fajl vidjo prodott mill-ġenerazzjoni. |
| `prompt` | string | Prompt li ntuża biex jiġi ġġenerat l-output. |
| `seed` | integer | Valur ta’ seed applikat waqt il-ġenerazzjoni. |

## 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