# LTX 2.3 Trainer (V2) - Video-to-Audio API

> Treniruoja LoRA, kuri generuoja tyliam vaizdo įrašui tinkantį garsą arba foley

Treniruoja LoRA, kuri sukuria vaizdo įraše rodomą veiksmą atitinkantį garso takelį. Kiekviename mokymo klipe turi likti garso takelis, todėl scenų skaidymas pagal numatytuosius nustatymus išjungtas, kad nebūtų tylių galinių segmentų. Validavimo pavyzdžiuose (iki 2) raginimas susiejamas su tyliu vaizdo įrašu. Duomenys pateikiami zip archyve per `training_data_url`.

- Model id: `ltx23-trainer-v2/v2a`
- Made by: Lightricks
- Category: Training
- Output: file
- Price: $0.0049 / step (cheapest run $9.80 (9800 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx23-trainer-v2/v2a`
- Quote: `POST https://api.doitong.com/v1/quote/ltx23-trainer-v2/v2a`
- Docs page: https://doitong.com/lt/developers/models/ltx23-trainer-v2/v2a

## Pricing

Price: **$0.0049 / step**. Billed per training step (`number_of_steps`).

The full example input below costs $9.80 = 9800 API credits (2000 steps × 4.9 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/ltx23-trainer-v2/v2a` 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 |
|---|---|---|---|---|---|---|
| `training_data_url` |  | string | yes |  |  | URL į `.zip` failą su mokymo duomenimis, sutvarkytais pagal pasirinktą mokymo režimą. Kiekvieną medijos failą gali papildyti atitinkamas `.txt` aprašas tuo pačiu baziniu pavadinimu. |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | LoRA adaptacijos rangas: didėjant reikšmei didėja atminties sąnaudos ir talpa. |
| `number_of_steps` |  | integer | no | `2000` | 100 – 10,000 | Bendras mokymo žingsnių skaičius. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | Optimizavimo mokymosi sparta. |
| `number_of_frames` |  | integer | no | `89` | 9 – 121 | Kiekvieno mokymo pavyzdžio kadrų skaičius. Padalijus skaičių iš 8, liekana turi būti 1; pavyzdžiai: 1, 9, 17, 25, 33, 41, 49, 57, 65, 73, 81, 89, 97. |
| `frame_rate` |  | integer | no | `24` | 8 – 60 | Mokymo vaizdo įrašo tikslinis kadrų dažnis kadrais per sekundę. Gimtasis LTX-2.3 dažnis yra 24. |
| `resolution` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | Mokymo raiška. Didesnė raiška padidina atminties poreikius. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Mokymo kraštinių santykis. |
| `trigger_phrase` |  | string | no | `` |  | LoRA stiliaus aktyvinimo frazė, mokant įterpiama aprašų pradžioje. |
| `auto_scale_input` |  | boolean | no | `false` |  | Automatinis vaizdo įrašo pritaikymas pagal prašomą FPS ir kadrų skaičių, kai įjungtas; vaizdų duomenų rinkiniai nepakeičiami. |
| `split_input_into_scenes` |  | boolean | no | `false` |  | Valdo ilgų vaizdo įrašų skaidymą pagal scenas, kai true. V2a atveju numatyta išjungta, kaip ir a2v: kiekvienam klipui reikia garso takelio, nes modelis generuoja garsą. Skaidymas pabaigoje gali palikti tylius segmentus, sukeliančius klaidinantį klaidos pranešimą tikrinant kiekvieno klipo garsą. |
| `split_input_duration_threshold` |  | number | no | `30` | 1 – 60 | Scenos skaidymo trigeris, išreikštas trukme sekundėmis: skaidomi tik už slenkstį ilgesni vaizdo įrašai. |
| `debug_dataset` |  | boolean | no | `false` |  | Išankstinio apdorojimo tikrinimo režimas vaizdo įrašams, vaizdams ir aprašams patikrinti prieš visą mokymo paleidimą. Įjungus mokytuvas grąžina apdorotą mokymo duomenų rinkinį atsisiunčiamame archyve rankinei peržiūrai. |
| `validation` |  | array of object {prompt, video_url} | no | `[]` | ≤ 2 items | Garso generavimo tikrinimo duomenys, pateikiami kaip įrašų sąrašas, kuriame yra raginys ir tylus vaizdo įrašas. |
| `validation[].prompt` |  | string | yes |  |  | Patvirtinimo metu naudojamas raginys. |
| `validation[].video_url` |  | string (video URL) | yes |  | ≥ 1 characters | Tylaus vaizdo įrašo, kuriam modelis sukurs garsą, URL. |
| `validation_negative_prompt` |  | string | no | `blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, wrong gaze direction, mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio, incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts.` |  | Patvirtinimo metu taikomas neigiamasis raginys, naudojantis vieno etapo peržiūros procesą. Kadangi šis procesas apytiksliai imituoja dviejų etapų gamybinį išvedimą, jo valdymas ir peržiūros kokybė skiriasi nuo galutinių rezultatų. |
| `validation_number_of_frames` |  | integer | no | `89` | 9 – 121 | Kiekvieno patvirtinimo vaizdo įrašo kadrų skaičius. |
| `validation_frame_rate` |  | integer | no | `24` | 8 – 60 | Patvirtinimo vaizdo įrašų tikslinis kadrų dažnis kadrais per sekundę; LTX-2.3 natūraliai veikia 24 dažniu. |
| `validation_resolution` |  | enum (string) | no | `high` | `low`, `medium`, `high` | Patvirtinimo metu naudojama raiška. |
| `validation_aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Patvirtinimo metu naudojamas kraštinių santykis. |
| `stg_scale` |  | number | no | `1` | 0 – 3 | Erdvinio ir laiko valdymo (STG) mastelis: rekomenduojama 1.0, o 0.0 STG išjungia. |

## Example input

Required parameters only:

```json
{
  "training_data_url": "https://example.com/your-file.zip"
}
```

A fuller example:

```json
{
  "training_data_url": "https://example.com/your-file.zip"
}
```

## 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.com/v1/run/ltx23-trainer-v2/v2a?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "training_data_url": "https://example.com/your-file.zip"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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/ltx23-trainer-v2/v2a?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "training_data_url": "https://example.com/your-file.zip"
  }),
});
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.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "training_data_url": "https://example.com/your-file.zip",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ltx23-trainer-v2/v2a", 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.com/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": "ltx23-trainer-v2/v2a",
      "input": {
        "training_data_url": "https://example.com/your-file.zip"
      },
      "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": "ltx23-trainer-v2/v2a",
  "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": 9800,
    "usd": "9.80",
    "charged": 9800,
    "refunded": 0
  },
  "input": {
    "training_data_url": "https://example.com/your-file.zip"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "audio": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "lora_file": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "config_file": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "debug_dataset": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    }
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} \| null | Sujungta vaizdo įrašo peržiūra iš patvirtinimo, jei prieinama vaizdo įrašą kuriantiems galiniams taškams. |
| `audio` | object {url, content_type, file_name, file_size} \| null | Sujungtas patvirtinimo garsas, pateikiamas kaip peržiūra, jei prieinamas tik garsui skirtuose maršrutuose: /audio-inpaint, /audio-extend-suffix, /audio-extend-prefix, /t2a, /a2a ir /v2a. |
| `lora_file` | object {url, content_type, file_name, file_size} | Mokytų LoRA svorių URL `.safetensors` formatu. |
| `config_file` | object {url, content_type, file_name, file_size} | Išvedimo galinio taško sąrankos konfigūracija. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Derinimo išvestis, prieinama įjungus `debug_dataset`: atsisiunčiamas archyvas su mokymo duomenimis po išankstinio apdorojimo. |

## Related models

- [LTX 2.3 Trainer (V2) - Audio Inpainting](https://doitong.com/developers/models/ltx23-trainer-v2/audio-inpaint.md) (`ltx23-trainer-v2/audio-inpaint`): $0.0023 / step
- [LTX 2.3 Trainer (V2) - Audio+Video Reference IC-LoRA](https://doitong.com/developers/models/ltx23-trainer-v2/ic-lora/av2av.md) (`ltx23-trainer-v2/ic-lora/av2av`): $0.0068 / step
- [LTX 2.3 Trainer (V2) - Audio+Video Reference Transformation](https://doitong.com/developers/models/ltx23-trainer-v2/av2av.md) (`ltx23-trainer-v2/av2av`): $0.0068 / step
- [LTX 2.3 Trainer (V2) - Audio-to-Audio](https://doitong.com/developers/models/ltx23-trainer-v2/a2a.md) (`ltx23-trainer-v2/a2a`): $0.0023 / step
- [LTX 2.3 Trainer (V2) - Audio-to-Audio IC-LoRA](https://doitong.com/developers/models/ltx23-trainer-v2/ic-lora/a2a.md) (`ltx23-trainer-v2/ic-lora/a2a`): $0.0023 / step
- [LTX 2.3 Trainer (V2) - Audio-to-Video](https://doitong.com/developers/models/ltx23-trainer-v2/a2v.md) (`ltx23-trainer-v2/a2v`): $0.006 / step
- [LTX 2.3 Trainer (V2) - Backward Audio Extension](https://doitong.com/developers/models/ltx23-trainer-v2/audio-extend-suffix.md) (`ltx23-trainer-v2/audio-extend-suffix`): $0.0023 / step
- [LTX 2.3 Trainer (V2) - Backward Video Extension](https://doitong.com/developers/models/ltx23-trainer-v2/extend-suffix.md) (`ltx23-trainer-v2/extend-suffix`): $0.0061 / step

## Links

- HTML page: https://doitong.com/developers/models/ltx23-trainer-v2/v2a
- 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=ltx23-trainer-v2/v2a
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx23-trainer-v2/v2a