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

> Kuputuhi-ki-ataata e whakamahi ana i ō LoRA ake mā te tāuru `loras` e hiahiatia ana

Ka tango i tētahi `prompt` me tētahi rārangi `loras` o ngā LoRA ritenga e hiahiatia ana. Ka tuku a `video_size` i ngā rahinga tatūkē tapawhā, whakaahua tū me te paewhenua, ko `num_frames` kei te 9 ki te 481, ā, ko `fps` kei te 1 ki te 60. Kei te wātea hoki te hanga oro, te camera LoRA me te tauine distill LoRA o te oma tuatahi.

- 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/mi/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 |  |  | Tohutohu ka whakamahia hei pūtake mō te whakaputanga ataata. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Tau anga mō te putanga kua whakaputaina. |
| `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` | Ngā ahunga o te ataata kua whakaputaina. |
| `generate_audio` |  | boolean | no | `true` |  | Ka whakahaere mēnā he ororongo kua whakaputaina kei roto i te ataata. |
| `use_multiscale` |  | boolean | no | `true` |  | Whakakā whakaputanga tauine-maha mō te pai ake o te hononga me te taipitopito. Ina True, mā tētahi ataata iti ake o mua e ārahi te whakaputanga tuarua, ko tōna rahi ka rite, ka nui ake rānei i ngā āhuatanga i tonoa. |
| `fps` |  | number | no | `24` | 1 – 60 | Tere anga ataata putanga, kua inea ki ngā anga ia hēkona. |
| `num_inference_steps` |  | integer | no | `40` | 8 – 50 | Tatau o ngā takahanga inference i mahia. |
| `video_cfg_scale` |  | number | no | `3` | 1 – 20 | Tautuhinga ārahi ataata: whakanuia kia nui ake te ōritetanga me te aronga o ngā ihirangi kua whakaputaina. Ka whakamahi i te ārahi classifier-free (CFG). |
| `video_stg_scale` |  | number | no | `0` | 0 – 20 | Whakahaere i te ōritetanga me te aronga o te ataata mā te tauine Spatiotemporal Guidance (STG); whakanuia te tautuhinga kia kaha ake ai ēnei āhuatanga e rua. |
| `video_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | Whakarerekētanga tauine anō o te ataata hei taurite i te ārahi classifier-free ki te ārahi mokowā-wā, hei ōwehenga. |
| `video_modality_scale` |  | number | no | `3` | 0 – 10 | Whakarerekētanga aratau ataata hei taurite i ngā takoha ataata me te ororongo, hei ōwehenga. |
| `audio_cfg_scale` |  | number | no | `7` | 1 – 20 | Tautuhinga ārahi ororongo: whakanuia kia nui ake te ōritetanga me te aronga o ngā ihirangi kua whakaputaina. Ka whakamahi i te ārahi classifier-free (CFG). |
| `audio_stg_scale` |  | number | no | `0` | 0 – 20 | Whakahaere i te ōritetanga me te aronga o te ororongo mā te tauine Spatiotemporal Guidance (STG); whakanuia te tautuhinga kia kaha ake ai ēnei āhuatanga e rua. |
| `audio_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | Whakarerekētanga tauine anō o te ororongo hei taurite i te ārahi classifier-free ki te ārahi mokowā-wā, hei ōwehenga. |
| `audio_modality_scale` |  | number | no | `3` | 0 – 10 | Whakarerekētanga aratau ororongo hei taurite i ngā takoha ataata me te ororongo, hei ōwehenga. |
| `gradient_estimation_gamma` |  | number | no | `2` | 0 – 10 | Tautuhinga whakatau-taumata gradient denoising: mā te 0 ka whakawetohia te whakatau; ki te kore, ka tohu te uara i te gamma. |
| `use_restart_sampling` |  | boolean | no | `false` |  | Whakakā tīmata anō i te sampling mō te kounga ataata pai ake pea: mā te whakakā ka tāpirihia he haruru iti i ia hīkoi denoising. |
| `scheduler` |  | enum (string) | no | `ltx2` | `ltx2`, `linear_quadratic`, `beta` | Kōwhiringa scheduler. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high`, `full` | Taumata whakatere i whakamahia mō te tukatuka. |
| `camera_lora` |  | enum (string) | no | `none` | `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `none` | Kōwhiringa Camera LoRA hei whakahaere tika ake i te nekehanga o te ataata kua whakaputaina i ngā tohutohu nekehanga-kamera anake. |
| `camera_lora_scale` |  | number | no | `1` | 0 – 1 | Te kaha Camera LoRA hei whakahaere tika ake i te nekehanga o te ataata kua whakaputaina i ngā tohutohu nekehanga-kamera anake. |
| `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` |  | Tohutohu tōraro ka whakamahia i te whakaputanga ataata. |
| `seed` |  | integer \| null | no |  |  | Uara kākano hei tīmata i te whakaputanga tau matapōkere. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Ka whakahaere mēnā kua whakahohea te whakawhānui tohutohu. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Ka whakahaere mēnā kua whakakāhia te tirotiro haumaru. |
| `video_output_type` |  | enum (string) | no | `X264 (.mp4)` | `X264 (.mp4)`, `VP9 (.webm)`, `PRORES4444 (.mov)`, `GIF (.gif)` | Momo putanga mō te ataata ka puta. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Taumata kounga mō te ataata ka puta. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Aratau tuhi mō te ataata ka puta. |
| `loras` |  | array of object {path, weight_name, scale} | yes |  |  | Kōwhiringa LoRA mō te whakaputanga. |
| `loras[].path` |  | string | yes |  |  | Wāhi o ngā taumaha LoRA, ka hoatu hei URL, hei ID putunga HuggingFace rānei i te whakatakotoranga owner/repo. |
| `loras[].weight_name` |  | string \| null | no |  |  | Ingoa taumaha LoRA hei kōwhiri i waenga i ngā taumaha maha i tētahi putunga HuggingFace; ko ngā putunga maha noa iho e hiahia ana ki tēnei. Kāore tēnei tautuhinga e whai pānga ki te kore te `path` e tohu ki tētahi putunga HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Te tauwehe tauine mō LoRA, mai i te 0.0 ki te 4.0. |
| `distill_lora_first_pass_scale` |  | number | no | `0.2` | 0 – 1 | Whakahaerehia te tauine distill LoRA o te whakawhitinga tuatahi; whakamahia te 0 hei whakaweto. |
| `distill_lora_second_pass_scale` |  | number | no | `0.5` | 0 – 1 | Whakahaerehia te tauine distill LoRA mō ia whakawhitinga i muri i te tuatahi. |

## 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} | Ataata i whakaputaina e te tauira. |
| `seed` | integer | Uara seed hei tīmata i te whakaputanga tau matapōkere. |
| `prompt` | string | Tohutohu hei ārahi i te whakaputanga. |

## 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