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

> Pretvaranje teksta u videozapis koje primjenjuje vlastite LoRA modele putem obaveznog ulaza `loras`

Prima `prompt` i obavezan popis prilagođenih LoRA modela `loras`. `video_size` nudi kvadratne, portretne i pejzažne predloške, `num_frames` iznosi 9 do 481, a `fps` 1 do 60. Dostupni su generiranje zvuka, camera LoRA i mjerilo distil LoRA u prvom prolazu.

- Model id: `ltx-2.3-22b/text-to-video/lora`
- Made by: Lightricks
- Category: Text to Video
- Output: video
- Price per megapixel of your output video: $0.00181 / megapixel of output video (cheapest run $0.002 (2 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltx-2.3-22b/text-to-video/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-22b/text-to-video/lora`
- Docs page: https://doitong.com/hr/developers/models/ltx-2.3-22b/text-to-video/lora

## Pricing

Price: **$0.00181 / 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 $0.203 = 203 API credits (112 MP output video × $0.001805).

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/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 |  |  | Prompt koji se upotrebljava kao osnova za generiranje videa. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Broj sličica generiranog izlaza. |
| `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` | Dimenzije generiranog videa. |
| `generate_audio` |  | boolean | no | `true` |  | Određuje uključuje li videozapis generirani audio. |
| `use_multiscale` |  | boolean | no | `true` |  | Prekidač za višestruko skalno generiranje radi bolje koherentnosti i detalja. Uz True preliminarni manji video usmjerava drugo generiranje čija veličina doseže ili premašuje tražene dimenzije. |
| `fps` |  | number | no | `24` | 1 – 60 | Broj izlaznih sličica u sekundi. |
| `num_inference_steps` |  | integer | no | `40` | 8 – 50 | Broj izvedenih koraka inferencije. |
| `video_cfg_scale` |  | number | no | `3` | 1 – 20 | Postavka usmjeravanja videa: povećajte je za veću dosljednost i fokus generiranog sadržaja. Koristi usmjeravanje bez klasifikatora (CFG). |
| `video_stg_scale` |  | number | no | `0` | 0 – 20 | Upravljanje dosljednošću i fokusom videa putem skale prostorno-vremenskog usmjeravanja (STG); povećajte postavku za jačanje obiju značajki. |
| `video_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | Prilagodba ponovnog skaliranja videa za uravnoteživanje usmjeravanja bez klasifikatora i prostorno-vremenskog usmjeravanja kao omjera. |
| `video_modality_scale` |  | number | no | `3` | 0 – 10 | Prilagodba modaliteta videa za uravnoteživanje doprinosa videa i audija kao omjera. |
| `audio_cfg_scale` |  | number | no | `7` | 1 – 20 | Postavka usmjeravanja audija: povećajte je za veću dosljednost i fokus generiranog sadržaja. Koristi usmjeravanje bez klasifikatora (CFG). |
| `audio_stg_scale` |  | number | no | `0` | 0 – 20 | Upravljanje dosljednošću i fokusom audija putem skale prostorno-vremenskog usmjeravanja (STG); povećajte postavku za jačanje obiju značajki. |
| `audio_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | Prilagodba ponovnog skaliranja audija za uravnoteživanje usmjeravanja bez klasifikatora i prostorno-vremenskog usmjeravanja kao omjera. |
| `audio_modality_scale` |  | number | no | `3` | 0 – 10 | Prilagodba modaliteta audija za uravnoteživanje doprinosa videa i audija kao omjera. |
| `gradient_estimation_gamma` |  | number | no | `2` | 0 – 10 | Postavka procjene gradijenta uklanjanja šuma: 0 isključuje procjenu; inače vrijednost određuje gamu. |
| `use_restart_sampling` |  | boolean | no | `false` |  | Prekidač ponovnog uzorkovanja radi moguće bolje kvalitete videa: uključivanje dodaje malo šuma pri svakom koraku uklanjanja šuma. |
| `scheduler` |  | enum (string) | no | `ltx2` | `ltx2`, `linear_quadratic`, `beta` | Odabir planera. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high`, `full` | Razina ubrzanja primijenjena na obradu. |
| `camera_lora` |  | enum (string) | no | `none` | `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `none` | Odabir Camera LoRA-e za preciznije upravljanje kretanjem u generiranom videu nego samo promptima pokreta kamere. |
| `camera_lora_scale` |  | number | no | `1` | 0 – 1 | Jačina Camera LoRA-e za preciznije upravljanje kretanjem u generiranom videu nego samo promptima pokreta kamere. |
| `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` |  | Negativni prompt koji se koristi tijekom generiranja videa. |
| `seed` |  | integer \| null | no |  |  | Vrijednost sjemena koja pokreće generiranje slučajnih brojeva. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Određuje je li proširivanje prompta omogućeno. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Kontrolira je li provjera sigurnosti omogućena. |
| `video_output_type` |  | enum (string) | no | `X264 (.mp4)` | `X264 (.mp4)`, `VP9 (.webm)`, `PRORES4444 (.mov)`, `GIF (.gif)` | Vrsta izlaza rezultirajućeg videozapisa. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Razina kvalitete rezultirajućeg videozapisa. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Način zapisivanja rezultirajućeg videozapisa. |
| `loras` |  | array of object {path, weight_name, scale} | yes |  |  | Odabir LoRA-e za generiranje. |
| `loras[].path` |  | string | yes |  |  | Lokacija težina LoRA-e, navedena kao URL ili ID repozitorija HuggingFace u formatu owner/repo. |
| `loras[].weight_name` |  | string \| null | no |  |  | Naziv težine LoRA-e za odabir među višestrukim težinama u repozitoriju HuggingFace; potreban je samo za repozitorije s više težina. Ova postavka nema učinka osim ako `path` označava repozitorij HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Faktor skaliranja primijenjen na LoRA, u rasponu od 0.0 do 4.0. |
| `distill_lora_first_pass_scale` |  | number | no | `0.2` | 0 – 1 | Upravlja skaliranjem distill LoRA-e u prvom prolazu; 0 je isključuje. |
| `distill_lora_second_pass_scale` |  | number | no | `0.5` | 0 – 1 | Upravlja skaliranjem distill LoRA-e u svakom prolazu nakon prvog. |

## 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/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/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/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/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/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": 203,
    "usd": "0.203",
    "charged": 203,
    "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} | Videozapis koji je izradio model. |
| `seed` | integer | Vrijednost sjemena za inicijalizaciju generiranja slučajnih brojeva. |
| `prompt` | string | Prompt koji usmjerava generiranje. |

## Related models

- [LTX-2.3 22B · Text to Video](https://doitong.com/developers/models/ltx-2.3-22b/text-to-video.md) (`ltx-2.3-22b/text-to-video`): $0.00161 / megapixel of output video
- [LTX-2.3 22B · Image to Video](https://doitong.com/developers/models/ltx-2.3-22b/image-to-video.md) (`ltx-2.3-22b/image-to-video`): $0.00161 / megapixel of output video
- [LTX-2.3 22B · Image to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/image-to-video/lora.md) (`ltx-2.3-22b/image-to-video/lora`): $0.00181 / megapixel of output 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 22B · Extend Video](https://doitong.com/developers/models/ltx-2.3-22b/extend-video.md) (`ltx-2.3-22b/extend-video`): $0.00161 / megapixel of output video
- [LTX-2.3 22B · Extend Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/extend-video/lora.md) (`ltx-2.3-22b/extend-video/lora`): $0.00181 / megapixel of output video
- [LTX-2.3 22B · Reference Video to Video](https://doitong.com/developers/models/ltx-2.3-22b/reference-video-to-video.md) (`ltx-2.3-22b/reference-video-to-video`): $0.00161 / megapixel of output video
- [LTX-2.3 22B · Video to Video](https://doitong.com/developers/models/ltx-2.3-22b/video-to-video.md) (`ltx-2.3-22b/video-to-video`): $0.00161 / megapixel of output video

## Links

- HTML page: https://doitong.com/developers/models/ltx-2.3-22b/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/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/text-to-video/lora