# LTX-Video 13B 0.9.8 Distilled · Multiconditioning API

> 0.9.8 distilled 13B שאַפֿונג, באַדינגט דורך עטלעכע בילדער און ווידעאָס גלײַכצײַטיק, צוזאַמען מיט אַ פּינטלעך־טעקסט

בויט אַ ווידעאָ פֿון אַ נייטיקן `prompt` צוזאַמען מיט רשימות פֿון באַדינגונגס־`images` און `videos`, אַזוי אַז עטלעכע רעפֿערענצן קענען פֿאָרמען איין רעזולטאַט. דער רעזולטאַט איז 480p אָדער 720p מיט `aspect_ratio` auto, 9:16, 1:1 אָדער 16:9. `num_frames` גייט פֿון 9 ביז 1441, און `loras` לייגט צו אייגענע ווייטס.

- Model id: `ltxv-13b-098-distilled/multiconditioning`
- Made by: Lightricks
- Category: Video to Video
- Output: video
- Price per second of your output video: from $0.02 / second of output video (cheapest run $0.02 (20 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltxv-13b-098-distilled/multiconditioning`
- Quote: `POST https://api.doitong.ru/v1/quote/ltxv-13b-098-distilled/multiconditioning`
- Docs page: https://doitong.com/yi/developers/models/ltxv-13b-098-distilled/multiconditioning

## Pricing

Price: **from $0.02 / 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 $0.101 = 101 API credits (5.0417 s output video × $0.02).

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/ltxv-13b-098-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 |  |  | טעקסט־אינסטרוקציעס וואָס גיידן די גענערירונג. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | נעגאַטיווע טעקסט־אינסטרוקציעס פֿאַר גענערירונג. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | LoRA־ווייכטן וואָס ווערן געווענדט בעת דער גענערירונג. |
| `loras[].path` |  | string | yes |  |  | אָרט פֿון די LoRA־ווייכטן, ווי URL אָדער פּאַט. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA־וואָגונג־נאָמען פֿאַר אויסקלײַבן צווישן קייפל וואָגונגען אין אַ HuggingFace־רעפּאַזאַטאָריע; נאָר רעפּאַזאַטאָריעס מיט קייפל וואָגונגען דאַרפֿן עס. די באַשטימונג האָט קיין ווירקונג סיידן `path` אידענטיפֿיצירט אַ HuggingFace־רעפּאַזאַטאָריע. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | מולטיפּליקאַטאָר וואָס סקיילט דעם LoRA־וואָג בײַם לאָדן. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | רעזאָלוציע פֿאַרן רעזולטאַט־ווידעא. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | ווידעא־אַספּעקט־פֿאַרהעלטעניש. |
| `seed` |  | integer \| null | no |  |  | Seed וואָס קאָנטראָלירט צופֿעליקייט בעת דער גענערירונג. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | גאַנצע צאָל ראַמען פֿאַר דער ווידעא. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | צאָל inference־שטאַפּלען פֿאַרן ערשטן פּאַס. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | צאָל inference־שטאַפּלען פֿאַרן צווייטן פּאַס. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | ערשטע inference־שטאַפּלען וואָס מען לאָזט אויס אינעם צווייטן פּאַס, כּדי צו פאָקוסירן אויף פֿײַנע דעטאַלן. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | ראַם־קורס פֿאַר דער ווידעא. |
| `expand_prompt` |  | boolean | no | `false` |  | פּראָמפּט־יקספּאַנשאַן דורך אַ שפּראַך־מאָדעל. |
| `reverse_video` |  | boolean | no | `false` |  | אומקערונג פֿון דער ווידעא־פּלייבאַק־סדר. |
| `enable_safety_checker` |  | boolean | no | `true` |  | זיכערקייט־קאָנטראָל־שאַלטער וועמענס אויסגעשאַלטענע באַשטעטיקונג ווערט מכובד נאָר פֿאַר אָטעריזירטע אַקאַונטן. אַלע בקשות אָן דער אָטעריזאַציע דורכגיין זיכערקייט־קאָנטראָלן. |
| `enable_detail_pass` |  | boolean | no | `false` |  | אָפּציאָנאַלע צווייטע פֿאַרפֿינערונגס־דורכגאַנג פֿאַר בעסערן ווידעא־דעטאַל. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Adaptive instance normalization (AdaIN)־שטאַרקייט, וואָס באַלאַנסירט קאָליר־קאָנסיסטענץ און קאָליר־וועריאַציע. זי נאָרמאַליזירט קאָליר־פאַרשפּרייטונגען אין דער ווידעא. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Tone-mapping־קאָמפּרעסיע־מדרגה, פֿון 0.0 אָן קאָמפּרעסיע ביז 1.0 מאַקסימום קאָמפּרעסיע. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Constant rate factor (CRF) פֿאַר אַרײַנגעבונג־קאָמפּרעסיע, וואָס קען פֿאַרבעסערן באַוועגונג־קוואַליטעט. |
| `images` |  | array of object {image_url, start_frame_num, strength} | no | `[]` |  | Conditioning־בילדער צוגעשטעלט דורך URL. |
| `images[].image_url` |  | string (image URL) | yes |  |  | Conditioning־בילד צוגעשטעלט דורך URL. |
| `images[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Conditioning־אָנהייב־פּאָזיציע פֿאַר בילד, ווי אַ ראַם־נומער טיילבאַר דורך 8. |
| `images[].strength` |  | number | no | `1` | 0 – 1 | Conditioning־אינטענסיטעט: 0.0 שטעלט עס אויס, 1.0 אַקטיוויזירט עס גאָר. |
| `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 | `[]` |  | ווידעאָס צוגעשטעלט פֿאַר conditioning. |
| `videos[].video_url` |  | string (video URL) | yes |  |  | Conditioning־ווידעא צוגעשטעלט דורך URL. |
| `videos[].conditioning_type` |  | enum (string) \| null | no | `rgb` | `rgb`, `depth`, `pose`, `canny` | קאַטעגאָריע פֿון דער conditioning־ווידעא, גענוצט צו אויסקלײַבן די preprocessing־רערנל און ריכטיק צולייגן in-context LoRA־ווייכטן. |
| `videos[].preprocess` |  | boolean | no | `false` |  | אַקטיוויזירט preprocessing צו פּאַסן צו דעם conditioning־טיפּ פֿון דער ווידעא. פֿאַר RGB conditioning מאכט עס קיין ענדערונג. |
| `videos[].start_frame_num` |  | integer | no | `0` | 0 – 1,440 | Conditioning־אָנהייב־פּאָזיציע אין דער ווידעא, ווי אַ ראַם־נומער וואָס איז טיילבאַר דורך 8. |
| `videos[].strength` |  | number | no | `1` | 0 – 1 | Conditioning־אינטענסיטעט: 0.0 שטעלט עס אויס, 1.0 אַקטיוויזירט עס גאָר. |
| `videos[].limit_num_frames` |  | boolean | no | `false` |  | ווידעא־ראַם־גרענעץ: ווען אַקטיוו, איז `max_num_frames` די מאַקסימום צאָל גענומענע ראַמען. |
| `videos[].max_num_frames` |  | integer | no | `1441` | 1 – 1,441 | מאַקסימום צאָל גענומענע ווידעא־ראַמען; None נעמט די גאַנצע ווידעא. |
| `videos[].resample_fps` |  | boolean | no | `false` |  | ווידעא־ראַם־קורס־קאָנווערסיע; ווען אַקטיוו, ווערט די ווידעא ווידער־געמפּלט לויט `target_fps`. |
| `videos[].target_fps` |  | integer | no | `24` | 1 – 60 | ראַם־קורס פֿאַר ווידער־מפּעלן אין FPS, נאָר מיט `resample_fps`. |
| `videos[].reverse_video` |  | boolean | no | `false` |  | אומקערונג פֿון דער ווידעא־סדר פֿאַר טאַסקס וואָס דאַרפן backward־conditioning. |

## 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/ltxv-13b-098-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/ltxv-13b-098-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/ltxv-13b-098-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": "ltxv-13b-098-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": "ltxv-13b-098-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": 101,
    "usd": "0.101",
    "charged": 101,
    "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} | ווידעא־פֿײַל געשאַפֿן דורך גענערירונג. |
| `prompt` | string | פּראָמפּט וואָס איז געניצט געוואָרן צו גענערירן דעם רעזולטאַט. |
| `seed` | integer | סיד־ווערט וואָס ווערט געווענדט בעת גענערירונג. |

## Related models

- [LTX-Video 13B 0.9.8 Distilled](https://doitong.com/developers/models/ltxv-13b-098-distilled.md) (`ltxv-13b-098-distilled`): from $0.02 / second of output video
- [LTX-Video 13B 0.9.8 Distilled · Image to Video](https://doitong.com/developers/models/ltxv-13b-098-distilled/image-to-video.md) (`ltxv-13b-098-distilled/image-to-video`): from $0.02 / second of output video
- [LTX-Video 13B 0.9.8 Distilled · Extend](https://doitong.com/developers/models/ltxv-13b-098-distilled/extend.md) (`ltxv-13b-098-distilled/extend`): from $0.02 / second of output 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/ltxv-13b-098-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=ltxv-13b-098-distilled/multiconditioning
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltxv-13b-098-distilled/multiconditioning