# LTX 2.3 Trainer (V2) - Audio+Video Reference Transformation API

> ᠵᠠᠯᡠ ᡠᠯᡥᠠᠨ ᡳ ᡩᠠᠮᡠ ᡳᠯᡳ ᡩᠠᠮᡠ ᡩᡝ ᡩᠠᠮᡠ ᡳᠯᡳᠨᡝᠮᡝ ᡩᡠᠯᠠᠮᡝᡵᡝ LoRA ᡳ ᡠᠯᡥᠠᠨ ᡩᡝ ᡩᠠᠮᡠ ᠪᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᡠᠮᡝ ᡝᠮᡤᡳᠯᡝᠮᡝ

ᡩᠠᠮᡠ ᡩᠠᠮᡠ ᡩᡝ ᡳᠨᡠ ᡳᠨᡠ ᠵᠠᠯᡠ ᡠᠯᡥᠠᠨ ᡳ ᡩᠠᠮᡠ ᡩᡝ ᡩᠠᠮᡠ ᡩᡝ ᡩᠠᠮᡠ ᡠᠯᡥᠠᠨ ᡳ ᠵᠠᠯᡠ ᡩᡝ ᡠᠮᡝ ᠵᠠᠰᡳᡵᡝ LoRA ᡳ ᡩᠠᠮᡠ ᠪᡝ ᡩᠠᠮᡠ ᡳᠯᡳᠨᡝᠮᡝ᠃ `training_data_url` ᡩᡝ ᡯᡳᠫ ᠪᡝ ᡩᡠᠯᠠᠮᡝ᠂ ᠵᠠᠯᡠ ᡠᠯᡥᠠᠨ ᡳ ᡝᠯᡝᡥᡝ ᡩᠠᠮᡠ ᡳᠨᡠ `.txt` ᡩᡝ ᠠᠰᡥᠠᠨ ᠪᡳ᠃ ᡤᠠᡵᡤᠠᠨ ᡠᠯᡥᠠᠨ ᡳ ᡩᠠᠮᡠ ᡩᡝ ᠠᠴᠠᡵᠠᠩᡤᡝ ᡩᠠᠮᡠ ᡳᠯᡳ ᡩᡝᡵᡝ ᡩᠠᠮᡠ ᡳᠯᡳ ᡩᠠᠮᡠ ᡳᠨᡠ ᡝᠮᡤᡳᠯᡝᡵᡝ ᡩᠠᠮᡠ ᡩᡝ ᡩᠠᠮᡠ ᠪᡳᠰᡳ᠂ ᡳᠨᡠ ᡝᠩᡤᡝᠯᡝᡵᡝ ᡠᠯᡥᠠᠨ ᠪᡝ ᡳᠯᡳ ᠵᠠᠯᡠᠮᡝ ᡩᠠᠮᡠ ᠪᡝ ᡠᠨᡩᡝᡵᡝ᠃ `rank` 8 ᡩᡝᡵᡝ 128᠂ ᡩᠠᠮᡠ 100 ᡩᡝᡵᡝ 10000 ᠪᡳ᠂ ᡳᠯᡳ 2 ᡩᡝᡵᡝ ᡳᠯᡳ ᡠᠨᡩᡝ `validation` ᡳ ᠵᠠᠯᠠᠨ ᠪᡳ᠃

- Model id: `ltx23-trainer-v2/av2av`
- Made by: Lightricks
- Category: Training
- Output: file
- Price: $0.0068 / step (cheapest run $13.60 (13600 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx23-trainer-v2/av2av`
- Quote: `POST https://api.doitong.com/v1/quote/ltx23-trainer-v2/av2av`
- Docs page: https://doitong.com/mnc/developers/models/ltx23-trainer-v2/av2av

## Pricing

Price: **$0.0068 / step**. Billed per training step (`number_of_steps`).

The full example input below costs $13.60 = 13600 API credits (2000 steps × 6.8 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/av2av` 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 |  |  | ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡳ ᠵᡠᠯᡤᠠᠨ `.zip`, ᡳ ᡩᠠᠯᡳᠮᡝ ᡳ ᡩᠠᠯᡳᠮᡝ ᡩᠠᠯᡳᠮᡝ. ᡶᡳᠯᡝ ᡳ ᠵᡠᠯᡤᠠᠨ `.txt` ᡳ ᠮᠠᠩᡤᠠ. |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | LoRA ᡳ ᡝᡵᡝᠮᡝ ᡳ ᡩᠠᠯᡳᠮᡝ ᡩᠠᠯᡳᠮᡝ ᡳ ᠵᡠᠯᡤᠠᠨ. |
| `number_of_steps` |  | integer | no | `2000` | 100 – 10,000 | ᡩᠠᠯᡳᠮᡝ ᡳ ᡩᠠᠯᡵᡝ ᡳ ᡩᡠᠮᡝ. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | ᡩᠠᠯᡳᠮᡝ ᡳ ᠰᡠᠯᡤᠠᠨ ᡳ ᡵᠠᠰᡠ. |
| `number_of_frames` |  | integer | no | `89` | 9 – 121 | ᡩᠠᠯᡳᠮᡝ ᡳ ᡳᠯᡝᠨ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᡩᡠᠮᡝ. 8 ᡩᡝ ᡩᠠᠯᡳᠮᡝ ᡳ ᡶᡠᠯᡤᠠᠨ 1 ᠣᠮᡝ; 1, 9, 17, 25, 33, 41, 49, 57, 65, 73, 81, 89, 97. |
| `frame_rate` |  | integer | no | `24` | 8 – 60 | ᡩᠠᠯᡳᠮᡝ ᡳ ᠰᡠᠨᡤᠠ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᠰᡝᠮᡝᠨ. LTX-2.3 ᡳ ᡝᠯᡝᠮᡝ 24. |
| `resolution` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | ᡩᠠᠯᡳᠮᡝ ᡳ ᠵᠠᠯᠠᠨ. ᠵᠠᠯᠠᠨ ᡳ ᠠᠯᡳᠮᡝ ᡳ ᠮᡝᠮᡝᠨᡳ ᡩᠠᠯᡳᠮᡝ. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | ᡩᠠᠯᡳᠮᡝ ᡳ ᡳᠯᡤᠠᠨ ᡳ ᡵᠠᠰᡠ. |
| `trigger_phrase` |  | string | no | `` |  | LoRA ᡳ ᡥᡡᠯᠠᠨ ᡳ ᠮᠠᠩᡤᠠ ᠵᡠᠰᡝᠨ. |
| `auto_scale_input` |  | boolean | no | `false` |  | ᠰᡠᠨᡤᠠ ᡳ FPS ᠠᠮᠠ ᡶᡳᠯᡝᠮᡝ ᡳ ᡩᡠᠮᡝ ᡩᡝ ᡝᡵᡝᠮᡝ ᠠᠯᡳᠮᡝ; ᡤᠠᠳᠠᠨ ᡳ ᡩᠠᠯᡳᠮᡝ ᠠᡴᡡ. |
| `split_input_into_scenes` |  | boolean | no | `false` |  | av2av ᠵᡝᡵᡤᡳ ᠠᠯᡤᠠᠮᡝ ᠠᡴᡡᠮᠪᡳ, _start/_end ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨᡳ ᠪᡝ ᠪᠠᡳᠮᠪᡳ᠉ ᡶᡳᠯᡝᠮᡝ ᠵᡠᠯᡝ ᠠᠯᡤᠠᠮᠪᡳ᠉ |
| `split_input_duration_threshold` |  | number | no | `30` | 1 – 60 | ᠵᡠᠯᡤᠠᠨ ᡳ ᡶᡠᠯᡤᠠᠨ ᡳ ᠵᡠᠸᠠᠨ, ᠰᡝᡴᡠᠨᡩ ᡳ ᠰᡝᠮᡝᠨ: ᡝᠯᡝᠮᡝ ᡳ ᠵᡠᠯᡤᠠᠨ ᡩᡝ ᡶᡠᠯᡤᠠᠨ. |
| `debug_dataset` |  | boolean | no | `false` |  | ᡩᠠᠯᡳᠮᡝ ᡳ ᡩᠠᠯᡳᠮᡝ ᡳ ᡤᠠᠳᠠᠨ, ᠰᡠᠨᡤᠠ, ᡥᡡᠯᠠᠨ ᡳ ᡳᠯᡝᠮᡝ ᡩᡝ ᠰᠠᠨᠠ. ᠵᡠᠰᡳᠯᡝᠮᡝ ᡳ ᡶᡳᠯᡝ ᡳ ᡩᠠᠯᡳᠮᡝ ᠵᡠᠯᡤᠠᠨ ᡳ ᡩᠠᠯᡳᠮᡝ ᡩᡝ ᡩᠠᠯᡳᠮᡝ ᠪᡠᠶᡝᠮᡝ. |
| `audio_normalize` |  | boolean | no | `true` |  | ᡤᡳᠰᡠᠨ ᡳ ᡤᠠᠯᠠ ᡳ ᡩᠠᠯᡳᠮᡝ ᠵᠠᠯᠠᠨ. |
| `audio_preserve_pitch` |  | boolean | no | `true` |  | ᡤᡳᠰᡠᠨᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠰᡠᠨᡤᠠᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᡠᠯᡝ ᠪᡠᠶᡝᠮᡝ ᠠᠯᡳᠨ ᠠᠴᠠᠨ ᠪᡝ ᠠᠯᡤᠠᠮᠪᡝ ᠠᡴᡡᠮᠪᡳ᠉ |
| `validation` |  | array of object {prompt, reference_video_url, reference_audio_url} | no | `[]` | ≤ 2 items | ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ ᠪᡝ ᠵᡠᠯᡝᠨᡳ ᠰᡠᠨᡤᠠ ᠪᠠᡳᠮᠪᡳ᠉ |
| `validation[].prompt` |  | string | yes |  |  | ᡩᠠᠯᡳᠮᡝ ᡩᡝ ᠣᠮᡝ ᡥᡡᠯᠠᠨ. |
| `validation[].reference_video_url` |  | string (video URL) | yes |  | ≥ 1 characters | ᠰᡠᠨᡤᠠᡳ URL ᡤᡳᠰᡠᠨ ᠪᡝ ᠵᡠᠯᡝᠨᡳ ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᠪᡝ ᠰᠣᠯᡤᡝᠮᠪᡠᠮᡝ ᠪᡠᠶᡝᠮᡝᠮᡝ ᠪᠠᡳᠮᠪᡳ᠉ |
| `validation[].reference_audio_url` |  | string (audio URL) \| null | no |  |  | `reference_video_url` ᠵᡠᠯᡝᠨᡳ ᡤᡳᠰᡠᠨ ᠪᡝ ᠠᠯᡳᠨ ᡤᡳᠰᡠᠨᡳ ᡶᡳᠯᡝᠮᡝ URL ᠪᡝ ᠪᠠᡳᠮᡝ ᠵᡠᠯᡝᠨᡳ ᠰᠣᠯᡤᡝᠮᠪᡳ᠉ |
| `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.` |  | ᡩᠠᠯᡳᠮᡝ ᡩᡝ ᠠᠯᡳᠮᡝ ᡳ ᠨᠠᡩᠠᠨ ᡥᡡᠯᠠᠨ. ᡝᠮᡠ ᡩᠠᠯᡳᠮᡝ ᡳ ᠵᡠᠯᡤᠠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡩ᠝ ᡩᠠᠯᡳᠮᡝ, ᡳᠨᡠ ᡵᠠᠰᡠ ᠠᠮᠠ ᡶᡠᠯᡤᠠᠨ ᡳ ᠠᠯᡳᠨ. |
| `validation_number_of_frames` |  | integer | no | `89` | 9 – 121 | ᡩᠠᠯᡳᠮᡝ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᡩᡠᠮᡝ. |
| `validation_frame_rate` |  | integer | no | `24` | 8 – 60 | ᡩᠠᠯᡳᠮᡝ ᡳ ᠰᡠᠨᡤᠠ ᡳ ᠰᡝᠮᡝᠨ; LTX-2.3 ᡳ ᡝᠯᡝᠮᡝ 24. |
| `validation_resolution` |  | enum (string) | no | `high` | `low`, `medium`, `high` | ᡩᠠᠯᡳᠮᡝ ᡩᡝ ᠣᠮᡝ ᡳ ᠵᠠᠯᠠᠨ. |
| `validation_aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | ᡩᠠᠯᡳᠮᡝ ᡩᡝ ᠣᠮᡝ ᡳ ᡳᠯᡤᠠᠨ ᡳ ᡵᠠᠰᡠ. |
| `stg_scale` |  | number | no | `1` | 0 – 3 | Spatio-Temporal Guidance (STG) ᡳ ᠵᠠᠯᠠᠨ, 1.0 ᡳ ᡩᠠᠯᡳᠮᡝ, 0.0 ᡳ STG ᡳ ᠠᡴᡡ. |
| `reference_downscale_factor` |  | integer | no | `1` | 1 – 8 | ᠮᡝᡳᠯᡝᠮᡝᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᡝᡵᡝ ᠰᡠᠨᡤᠠᡳ ᠵᡠᠯᡝᠨᡳ ᠵᡠᠯᡝ ᠰᠣᠯᡤᡝᠮᡝ ᠮᡝᡳᠯᡝᠮᠪᡳ᠉ ᠵᡠᠯᡝ 1 ᠪᡝ ᠮᡠᠶᠠᡥᠠᠨ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᠠᡳᠮᠪᡳ᠉ |
| `reference_temporal_scale_factor` |  | integer | no | `1` | 1 – 8 | ᠰᡠᠨᡤᠠᡳ ᡶᡳᠯᡝᠮᡝᡳ ᠵᡠᠯᡝ ᠮᡠᠶᠠᡥᠠᠨ 1 ᠪᡝ ᠵᡠᠯᡝᠨᡳ fps ᠪᠠᡳᠮᠪᡳ᠉ |

## 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/av2av?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/av2av?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/av2av", 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/av2av",
      "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/av2av",
  "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": 13600,
    "usd": "13.60",
    "charged": 13600,
    "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 | ᡩᠠᠯᡳᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᡳ ᠰᡠᠨᡤᠠ ᡳ ᡩᠠᠯᡳᠮᡝ ᡳ ᠠᠯᡳᠨ ᡩᡝ ᡩᠠᠯᡳᠮᡝ ᠪᡠᠶᡝᠮᡝ. |
| `audio` | object {url, content_type, file_name, file_size} \| null | ᡩᠠᠯᡳᠮᡝ ᡳ ᡤᡳᠰᡠᠨ ᡳ ᠪᡠᠶᡝᠮᡝ, ᡝᡵᡝᠮᡝ ᡳ ᡩᠠᠯᡳᠮᡝ: /audio-inpaint, /audio-extend-suffix, /audio-extend-prefix, /t2a, /a2a, /v2a. |
| `lora_file` | object {url, content_type, file_name, file_size} | ᡩᠠᠯᡳᠮᡝ LoRA ᡳ ᡵᠠᠰᡠ URL, .safetensors ᡶᡳᠯᡝ. |
| `config_file` | object {url, content_type, file_name, file_size} | ᡩᠠᠯᡳᠮᡝ ᡳ ᠵᠠᠯᡳᠨ ᡳ ᠪᠠᡳᡵᡝᠨ ᡳ ᡶᡠᠯᡤᠠᠨ. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | `debug_dataset` ᡳ ᡩᠠᠯᡳᠮᡝ ᡩᡝ ᠣᠮᡝ ᡳ ᡶᡳᠯᡝ ᡳ ᡩᠠᠯᡳᠮᡝ ᡳ ᠪᡠᠶᡝᠮᡝ ᡩ᠝ ᡩᠠᠯᡳᠮᡝ ᡳ ᠮᠠᠩᡤᠠ. |

## 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-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
- [LTX 2.3 Trainer (V2) - Forward Audio Extension](https://doitong.com/developers/models/ltx23-trainer-v2/audio-extend-prefix.md) (`ltx23-trainer-v2/audio-extend-prefix`): $0.0022 / step

## Links

- HTML page: https://doitong.com/developers/models/ltx23-trainer-v2/av2av
- 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/av2av
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx23-trainer-v2/av2av