# LTX-2.3 22B · Text to Video API

> Text-to-video na may audio, preset na laki, hanggang 481 frame at maraming sampling control

Gumagawa ng clip mula sa `prompt`. Nag-aalok ang `video_size` ng square, portrait at landscape na preset, ang `num_frames` ay 9 hanggang 481, at ang `fps` ay 1 hanggang 60. Nagdaragdag ng tunog ang `generate_audio`. Maaaring iakma ang sampling gamit ang `num_inference_steps` (8 hanggang 50), guidance scale, `camera_lora` at distill LoRA scale para sa bawat pass.

- Model id: `ltx-2.3-22b/text-to-video`
- Made by: Lightricks
- Category: Text to Video
- Output: video
- Price per megapixel of your output video: $0.00161 / 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`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-22b/text-to-video`
- Docs page: https://doitong.com/fil/developers/models/ltx-2.3-22b/text-to-video

## Pricing

Price: **$0.00161 / 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 $0.18 = 180 API credits (112 MP output video × $0.001605).

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` 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 na ginagamit bilang batayan sa pagbuo ng video. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Bilang ng frame para sa nabuong output. |
| `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` | Mga dimension ng nabuong video. |
| `generate_audio` |  | boolean | no | `true` |  | Kinokontrol kung may nabuong audio ang video. |
| `use_multiscale` |  | boolean | no | `true` |  | Toggle ng multi-scale pagbuo para sa mas maayos na coherence at detalye. Kapag True, ginagabayan ng paunang mas maliit na video ang ikalawang pagbuo na ang laki ay katumbas o mas malaki sa hiniling na mga sukat. |
| `fps` |  | number | no | `24` | 1 – 60 | Frame rate ng output na video, na sinusukat sa frames per segundo. |
| `num_inference_steps` |  | integer | no | `40` | 8 – 50 | Bilang ng isinagawang inference step. |
| `video_cfg_scale` |  | number | no | `3` | 1 – 20 | Setting ng video guidance: itaas ito para sa mas malaking consistency at focus sa nabuong content. Gumagamit ito ng classifier-free guidance (CFG). |
| `video_stg_scale` |  | number | no | `0` | 0 – 20 | Kontrol sa consistency at focus ng video sa pamamagitan ng Spatiotemporal Guidance (STG) scale; itaas ang setting para palakasin ang dalawang ito. |
| `video_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | Pagsasaayos ng video rescaling para balansehin bilang ratio ang classifier-free at spatiotemporal guidance. |
| `video_modality_scale` |  | number | no | `3` | 0 – 10 | Pagsasaayos ng video modality para balansehin bilang ratio ang ambag ng video at audio. |
| `audio_cfg_scale` |  | number | no | `7` | 1 – 20 | Setting ng audio guidance: itaas ito para sa mas malaking consistency at focus sa nabuong content. Gumagamit ito ng classifier-free guidance (CFG). |
| `audio_stg_scale` |  | number | no | `0` | 0 – 20 | Kontrol sa consistency at focus ng audio sa pamamagitan ng Spatiotemporal Guidance (STG) scale; itaas ang setting para palakasin ang dalawang ito. |
| `audio_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | Pagsasaayos ng audio rescaling para balansehin bilang ratio ang classifier-free at spatiotemporal guidance. |
| `audio_modality_scale` |  | number | no | `3` | 0 – 10 | Pagsasaayos ng audio modality para balansehin bilang ratio ang ambag ng video at audio. |
| `gradient_estimation_gamma` |  | number | no | `2` | 0 – 10 | Setting ng denoising gradient estimation: pinapatay ng 0 ang estimation; kung hindi, tinutukoy ng value ang gamma. |
| `use_restart_sampling` |  | boolean | no | `false` |  | Toggle ng restart sampling para sa posibleng mas magandang kalidad ng video: kapag naka-enable, nagdaragdag ito ng kaunting noise sa bawat denoising step. |
| `scheduler` |  | enum (string) | no | `ltx2` | `ltx2`, `linear_quadratic`, `beta` | Pagpili ng scheduler. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high`, `full` | Antas ng acceleration na inilapat sa pagproseso. |
| `camera_lora` |  | enum (string) | no | `none` | `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `none` | Pagpili ng Camera LoRA para mas tumpak na makontrol ang galaw sa nabuong video kaysa sa mga prompt lang para sa camera motion. |
| `camera_lora_scale` |  | number | no | `1` | 0 – 1 | Lakas ng Camera LoRA para mas tumpak na makontrol ang galaw sa nabuong video kaysa sa mga prompt lang para sa camera motion. |
| `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` |  | Negative prompt na ginagamit habang bumubuo ng video. |
| `seed` |  | integer \| null | no |  |  | Seed value na nag-i-initialize sa pagbuo ng random number. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Kinokontrol kung naka-enable ang prompt expansion. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Kinokontrol kung pinapagana ang safety checking. |
| `video_output_type` |  | enum (string) | no | `X264 (.mp4)` | `X264 (.mp4)`, `VP9 (.webm)`, `PRORES4444 (.mov)`, `GIF (.gif)` | Uri ng output para sa resultang video. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Antas ng kalidad para sa resultang video. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Write mode para sa resultang video. |
| `distill_lora_first_pass_scale` |  | number | no | `0.2` | 0 – 1 | Kontrolin ang scaling ng first-pass distill LoRA; gamitin ang 0 para i-off ito. |
| `distill_lora_second_pass_scale` |  | number | no | `0.5` | 0 – 1 | Kontrolin ang scaling ng distill LoRA sa bawat pass pagkatapos ng una. |

## 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-2.3-22b/text-to-video?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-2.3-22b/text-to-video?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-2.3-22b/text-to-video", 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",
      "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-2.3-22b/text-to-video",
  "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": 180,
    "usd": "0.18",
    "charged": 180,
    "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,
      "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} | Videong ginawa ng modelo. |
| `seed` | integer | Seed value na ginagamit upang simulan ang pagbuo ng random number. |
| `prompt` | string | Prompt na ginagamit upang gabayan ang pagbuo. |

## Related models

- [LTX-2.3 22B · Text to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/text-to-video/lora.md) (`ltx-2.3-22b/text-to-video/lora`): $0.00181 / 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
- 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
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltx-2.3-22b/text-to-video