# LTX-2.3 22B Distilled · Text to Video · LoRA API

> דיסטילירטע טעקסט־צו־ווידעאָ וואָס צולייגט אייגענע LoRAs פֿון דעם פארלאנגטן `loras` פֿעלד

שאַפֿט אַ קליפּ פֿון אַ `prompt` און אַ פארלאנגטע `loras` רשימה. `video_size` אָפפערט פּריסעט־פֿאָרמען, `num_frames` איז 9 ביז 481, און `fps` איז 1 ביז 60. אָפּציאָנעלע אַודיאָ־גענעראַציע, camera LoRA און אַ צווייטער־דורכגאַנג־דיסטיל־LoRA־סקעיל זענען צוגעשטעלט.

- Model id: `ltx-2.3-22b/distilled/text-to-video/lora`
- Made by: Lightricks
- Category: Text to Video
- Output: video
- Price per megapixel of your output video: $0.00141 / megapixel of output video (cheapest run $0.002 (2 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltx-2.3-22b/distilled/text-to-video/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-22b/distilled/text-to-video/lora`
- Docs page: https://doitong.com/yi/developers/models/ltx-2.3-22b/distilled/text-to-video/lora

## Pricing

Price: **$0.00141 / megapixel of output video**. Price per megapixel 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 $0.158 = 158 API credits (112 MP output video × $0.001405).

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-2.3-22b/distilled/text-to-video/lora` 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 |  |  | פּראָמפּט גענוצט ווי באַזע פֿאַר ווידעא־גענערירונג. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | ראַם־צאָל פונעם גענערירטן רעזולטאַט. |
| `video_size` |  | object {width, height} \| enum (string) | no | `landscape_16_9` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | דימענסיעס פֿון דעם גענערירטן ווידעא. |
| `generate_audio` |  | boolean | no | `true` |  | קאָנטראָלירט צי דער ווידעא נעמט אַרײַן גענערירטן אַודיאָ. |
| `use_multiscale` |  | boolean | no | `true` |  | מולטי־סקאַל־גענערירונג פֿאַר בעסערע קאָהערענץ און דעטאַל. מיט True פֿירט אַ קלענערער ערשטיקער ווידעא צו אַ צווייטער גענערירונג, וועמענס גרייס דערגרייכט אָדער איבערשטייגט די געבעטן דימענסיעס. |
| `fps` |  | number | no | `24` | 1 – 60 | די ראַם־אָפֿטקייט פֿונעם רעזולטאַט־ווידעא, געמאָסטן אין ראַמען פּער סעקונדע. |
| `scheduler` |  | enum (string) | no | `ltx2` | `ltx2`, `linear_quadratic`, `beta` | Scheduler־אויסקלײַב. |
| `acceleration` |  | enum (string) | no | `none` | `none`, `regular`, `high`, `full` | אַקסעלעראַציע־ניוואָ געווענדט צו פּראַסעסירונג. |
| `camera_lora` |  | enum (string) | no | `none` | `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `none` | קאַמעראַ LoRA־אויסקלײַב פֿאַר מער גענויע קאָנטראָל איבער באַוועגונג אינעם גענערירטן ווידעא ווי בלויז קאַמעראַ־באַוועגונג־פּראָמפּטס. |
| `camera_lora_scale` |  | number | no | `1` | 0 – 1 | קאַמעראַ LoRA־שטאַרקייט פֿאַר מער גענויע קאָנטראָל איבער באַוועגונג אינעם גענערירטן ווידעא ווי בלויז קאַמעראַ־באַוועגונג־פּראָמפּטס. |
| `negative_prompt` |  | string | no | `news broadcast, 3d animation, computer graphics, pc game, console game, video game, cartoon, childish, watermark, logo, text, on screen text, subtitles, titles, signature, slowmo, static` |  | נעגאַטיווער פּראָמפּט וואָס ווערט גענוצט בעת ווידעא־גענערירונג. |
| `seed` |  | integer \| null | no |  |  | גרעין־ווערט וואָס איניציאַליזירט ראַנדאָם־צאָל־גענערירונג. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | קאָנטראָלירט צי פּראָמפּט־יקספּאַנשאַן איז אַקטיווירט. |
| `enable_safety_checker` |  | boolean | no | `true` |  | קאָנטראָלירט צי זיכערהייט־קאָנטראָל זאָל זײַן אַקטיוו. |
| `video_output_type` |  | enum (string) | no | `X264 (.mp4)` | `X264 (.mp4)`, `VP9 (.webm)`, `PRORES4444 (.mov)`, `GIF (.gif)` | רעזולטאַט־טיפּ פֿאַרן רעזולטירנדיקן ווידעא. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | קוואַליטעט־ניוואָ פֿאַרן רעזולטירנדיקן ווידעא. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | שרײַב־מאָדע פֿאַרן רעזולטירנדיקן ווידעא. |
| `loras` |  | array of object {path, weight_name, scale} | yes |  |  | LoRA־אויסקלײַב פֿאַר גענערירונג. |
| `loras[].path` |  | string | yes |  |  | אָרט פֿון LoRA־וואָגונגען, געגעבן ווי אַ URL אָדער HuggingFace־רעפּאַזאַטאָריע־ID אין owner/repo פֿאָרמאַט. |
| `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 | סקיילינג־פאַקטאָר וואָס ווערט אָנגעווענדט אויף די LoRA, פֿון 0.0 ביז 4.0. |
| `distill_lora_second_pass_scale` |  | number | no | `0.5` | 0 – 1 | קאָנטראָלירט די distill LoRA־סקאַלירונג פֿאַר יעדן פּאַס נאָך דעם ערשטן. |

## Example input

Required parameters only:

```json
{
  "loras": [
    {
      "path": "https://example.com/your-file.safetensors"
    }
  ],
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "loras": [
    {
      "path": "https://example.com/your-file.safetensors"
    }
  ],
  "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-2.3-22b/distilled/text-to-video/lora?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "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-2.3-22b/distilled/text-to-video/lora?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "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 = {
    "loras": [
        {
            "path": "https://example.com/your-file.safetensors",
        },
    ],
    "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-2.3-22b/distilled/text-to-video/lora", 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-2.3-22b/distilled/text-to-video/lora",
      "input": {
        "loras": [
          {
            "path": "https://example.com/your-file.safetensors"
          }
        ],
        "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-2.3-22b/distilled/text-to-video/lora",
  "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": 158,
    "usd": "0.158",
    "charged": 158,
    "refunded": 0
  },
  "input": {
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    },
    "seed": 42,
    "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain."
  },
  "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, width, height, fps, duration, num_frames} | ווידעא געשאַפֿן דורכן מאָדעל. |
| `seed` | integer | Seed־ווערט וואָס ווערט גענוצט צו איניציאַליזירן צופֿעליקע צאָל־גענערירונג. |
| `prompt` | string | פּראָמפּט וואָס גיידט די גענערירונג. |

## Related models

- [LTX-2.3 22B Distilled · Text to Video](https://doitong.com/developers/models/ltx-2.3-22b/distilled/text-to-video.md) (`ltx-2.3-22b/distilled/text-to-video`): $0.00121 / megapixel of output video
- [LTX-2.3 22B Distilled · Image to Video](https://doitong.com/developers/models/ltx-2.3-22b/distilled/image-to-video.md) (`ltx-2.3-22b/distilled/image-to-video`): $0.00121 / megapixel of output video
- [LTX-2.3 22B Distilled · Image to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/distilled/image-to-video/lora.md) (`ltx-2.3-22b/distilled/image-to-video/lora`): $0.00141 / megapixel of output video
- [LTX-2.3 22B Distilled · Reference Video to Video](https://doitong.com/developers/models/ltx-2.3-22b/distilled/reference-video-to-video.md) (`ltx-2.3-22b/distilled/reference-video-to-video`): $0.00121 / megapixel of output video
- [LTX-2.3 22B Distilled · Reference Video to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/distilled/reference-video-to-video/lora.md) (`ltx-2.3-22b/distilled/reference-video-to-video/lora`): $0.00141 / megapixel of output video
- [LTX-2.3 22B Distilled · Video to Video](https://doitong.com/developers/models/ltx-2.3-22b/distilled/video-to-video.md) (`ltx-2.3-22b/distilled/video-to-video`): $0.00121 / megapixel of output video
- [LTX-2.3 22B Distilled · Video to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/distilled/video-to-video/lora.md) (`ltx-2.3-22b/distilled/video-to-video/lora`): $0.00141 / megapixel of output video
- [LTX-2.3 22B Distilled · Audio to Video](https://doitong.com/developers/models/ltx-2.3-22b/distilled/audio-to-video.md) (`ltx-2.3-22b/distilled/audio-to-video`): $0.00121 / megapixel of output video

## Links

- HTML page: https://doitong.com/developers/models/ltx-2.3-22b/distilled/text-to-video/lora
- 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-2.3-22b/distilled/text-to-video/lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltx-2.3-22b/distilled/text-to-video/lora