# LTX-2.3 22B Video to Video Trainer API

> LTX-2.3 22B LoRA ᠪᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᠠᠶᠠᠨ ᠪᡠᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᠩ ᡩᡝ ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠮᡠ ᡳ ᠵᠠᠩ ᡩᡝ ᠪᠠᠶᠠᠯᠠᠮᠪᡳ

LTX-2.3 22B ᡳ ᠵᠠᠯᠠᠨ ᠵᠠᠩᡳ LoRA ᠪᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠪᠠ ᠵᠠᠯᠠᠨ ᠵᠠᠩ ᡩᡝ ᠵᠠᠩ ᠪᡝ ᠮᠠᠨᡳᠶᠠᠮᡝ ᠪᠠᠶᠠᠯᠠᠮᠪᡳ᠃ ᠵᠠᠯᠠᠨ ᠪᠠ ᠵᠠᠩ (mp4, mov, avi, mkv, png, jpg, jpeg) ᡳ ᠵᡠᠪᡝᠨ ᠪᡝ ᠠᠪᡠᠮᠪᡳ᠂ ᠵᠠᠩ 10 ᠵᡠᠪᡝᠨ ᠪᡝ ᠵᠠᠯᠠᠮᠪᡳ᠃ `number_of_steps` 1 ᠣᠴᡳ 20000 (ᠵᠠᠩ 2000)᠂ `frame_rate` ᠵᠠᠩ 25᠂ `first_frame_conditioning_p` ᠵᠠᠩ 0.1᠃ ᠪᠠᠶᠠᠯᠠᠨ ᡩᡝ 2 ᠵᠠᠩᡤᠠᠨ ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠠᠪᡠᠮᠪᡳ᠃

- Model id: `ltx23-v2v-trainer`
- Made by: Lightricks
- Category: Training
- Output: file
- Price: $0.0135 / step (cheapest run $27.00 (27000 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx23-v2v-trainer`
- Quote: `POST https://api.doitong.com/v1/quote/ltx23-v2v-trainer`
- Docs page: https://doitong.com/mnc/developers/models/ltx23-v2v-trainer

## Pricing

Price: **$0.0135 / step**. Billed per training step (`number_of_steps`).

The full example input below costs $27.00 = 27000 API credits (2000 steps × 13.5 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-v2v-trainer` 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 |  |  | ᡝᠮᡠ ᡤᠠᠳᠠᠨ ᠠᠯᡳ ᡝᠮᡠ ᠰᡠᠨᡤᠠ ᠪᡝ ᡶᡳᠯᡝᠮᡝ ᠠᡩᠠᠯᡳ ᠪᡠᠮᡝᠨᡳ ZIP ᠠᡵᡴᡳᠸᡝᡳ URL᠉ ᠠᠯᠠᠮᡝ 10 ᡶᡳᠯᡝ ᠠᡩᠠᠯᡳ ᠠᠯᡳᠨᡳ ᡩᠠᡵᠠᠮᠪᡳ᠉ ᠵᡠᠯᡝ ᡳᠯᡳᠮᠪᡠᡵᡝ ᠪᡝ .png᠂ .jpg᠂ .jpeg᠂ ᠰᡠᠨᡤᠠ ᠪᡝ .mp4᠂ .mov᠂ .avi᠂ .mkv ᠣᠮᠪᡳ᠉ ᡝᠮᡠᡩᡝ ᡥᡡᠯᠠᠨᠠᠮᠪᡠᡵᡝ ᡶᡳᠯᡝ ᠵᡠᠯᡝ ᡶᡳᠯᡝᠨᡳ ᠵᠠᠯᠠᡳ ᠴᡳᠯᡤᠠᠨ ᠵᠠᡴᠠᠨ ᠪᡝ ᠠᠯᡤᡳᠮᠪᡳ᠉ |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | LoRA ᡳ ᡝᡵᡝᠮᡝ ᡳ ᡩᠠᠯᡳᠮᡝ ᡩᠠᠯᡳᠮᡝ ᡳ ᠵᡠᠯᡤᠠᠨ. |
| `number_of_steps` |  | integer | no | `2000` | 1 – 20,000 | ᡩᠠᠯᡳᠮᡝ ᡳ ᡩᠠᠯᡵᡝ ᡳ ᡩᡠᠮᡝ. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | ᠪᡠᠶᡝᡵᡝ ᠰᡠᠶᡝᠮᡝᡳ ᠮᡝᡵᡤᡝᠨᡳ ᠵᠠᠯᠠᡵᠠᠨᡳ ᠵᠠᠯᠠᡵᠠᠮᠪᡳ᠉ |
| `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 | `25` | 8 – 60 | ᠰᡠᠨᡤᠠᡳ ᠵᠠᠯᠠᡵᠠᠮᠪᡠᡵᡝ ᡶᡳᠯᡝᠮᡝᡳ ᠵᠠᠯᠠᠨ᠉ |
| `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 | `true` |  | ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝᠨᡳ ᠠᠴᠠᠨ ᠠᠮᠪᠠ ᠰᡠᠨᡤᠠ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠮᡝᡳᠯᡝᠮᠪᡳ᠉ true ᠪᡝ ᠵᠠᠯᠠᠨ ᠮᡠᠶᠠᡥᠠᠨ ᠪᡝ 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. |
| `first_frame_conditioning_p` |  | number | no | `0.1` | 0 – 1 | ᠰᡠᠨᡤᠠ-ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠵᡠᠯᡝᠨᡳ ᠵᡠᠯᡝ ᡶᡳᠯᡝᠮᡝ ᠪᠠᡳᠮᠪᡝ ᠮᡠᡵᡝᠨᡳ ᠵᡠᠯᡝ ᠪᡝ ᠵᡠᠯᡝᠮᡝᠮᡝ ᠪᠠᡳᠮᠪᡳ᠉ |
| `validation` |  | array of object {prompt, reference_video_url} | no | `[]` | ≤ 2 items | ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᠵᡠᠯᡝᠨ ᡥᡡᠯᠠᠨ ᠪᡝ ᠵᡠᠯᡝᠨᡳ ᠰᡠᠨᡤᠠ ᠪᠠᡳᠮᠪᡳ᠉ |
| `validation[].prompt` |  | string | yes |  |  | ᡩᠠᠯᡳᠮᡝ ᡩᡝ ᠣᠮᡝ ᡥᡡᠯᠠᠨ. |
| `validation[].reference_video_url` |  | string (video URL) | yes |  | ≥ 1 characters | IC-LoRA ᠵᡠᠯᡝᠨᡳ ᠰᡠᠨᡤᠠᡳ URL ᠪᡝ ᠪᠠᡳᠮᠪᡳ᠉ |
| `validation_negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | ᠵᡠᠯᡝᠨᡳ ᠠᡴᡡ ᡥᡡᠯᠠᠨ᠉ |
| `validation_number_of_frames` |  | integer | no | `89` | 9 – 121 | ᡩᠠᠯᡳᠮᡝ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᡩᡠᠮᡝ. |
| `validation_frame_rate` |  | integer | no | `25` | 8 – 60 | ᠠᠯᡥᠠᠨᠠᠮᠪᡠᡵᡝ ᠰᡠᠨᡤᠠᡳ ᡶᡳᠯᡝᠮᡝᡳ ᠵᠠᠯᠠᡵᠠᠮᠪᡠᡵᡝ ᠵᠠᠯᠠᠨ᠉ |
| `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. |

## 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-v2v-trainer?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-v2v-trainer?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-v2v-trainer", 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-v2v-trainer",
      "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-v2v-trainer",
  "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": 27000,
    "usd": "27.00",
    "charged": 27000,
    "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
    },
    "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 | ᠠᠯᡥᠠᠨᠠᠮᠪᡠᡵᡝ ᠰᡠᠨᡤᠠᡳ URL᠉ |
| `lora_file` | object {url, content_type, file_name, file_size} | .safetensors ᠵᡠᠯᡝ ᡶᡳᠯᡝᠨᡳ URL᠉ |
| `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 | ᡝᠪᡠᠮᡝ ᠵᠠᡶᠠᠴᡳ ᠣᠮᠪᡳ ᡝᠨᡩᡝᠪᡠᡴᡠ ᠪᡝ ᡩᠠᠰᠠᡵᠠ ᡩᠠᠩᠰᡝ᠉ `debug_dataset` ᠪᡝ ᡠᠯᡩᡝᠪᡠᡥᡝ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡩᡝ ᡩᠠᠮᡠ ᠪᠠᡳᠴᡳ ᠣᠮᠪᡳ᠉ ᡨᡝᡵᡝᡳ ᡨᠠᠴᡳᠪᡠᡵᡝ ᡩᠠᠩᠰᡝᡳ ᡩᠣᠯᠣᡵᡤᡳ ᠪᡝ ᠣᠩᡤᠣᠯᠣ ᡩᠠᠰᠠᡥᠠ ᠪᡳᡥᡝ᠈ ᡨᡠᠸᠠᠮᡝ ᡠᠯᡥᡳᠴᡳ ᠣᠮᠪᡳ ᠠᡵᠪᡠᠨ ᡳ ᠰᡠᠨᡤᠠ ᠪᡝ ᠪᠠᡥᠠᠮᠪᡳ᠉ |

## 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-v2v-trainer
- 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-v2v-trainer
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx23-v2v-trainer