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

> טרענירט אַן LTX 2.3 LoRA וואָס שאַפֿט ווידעא פֿון אַ אָנהייב־בילד און קאַנדישאַנינג־אַודיאָ

טרענירט אַ LoRA פֿאַר אַודיאָ־צו־ווידעא־גענעראַציע פֿון אַ `.zip` אין `training_data_url`. `rank` איז 8 ביז 128, `number_of_steps` 100 ביז 10000, און `number_of_frames` 9 ביז 121. `validation` נעמט אָן ביז 2 איינסן, יעדער מיט אַ קאַנדישאַנינג־אַודיאָטראַק. דער רעזולטאַט אַנטהאַלט די LoRA־ווייכטונגען, קאָנפיגוראַציע־טעקע און אַן אָפּציאָנעלן פֿאָרויסקוק.

- Model id: `ltx23-trainer-v2/a2v`
- Made by: Lightricks
- Category: Training
- Output: file
- Price: $0.006 / step (cheapest run $12.00 (12000 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx23-trainer-v2/a2v`
- Quote: `POST https://api.doitong.com/v1/quote/ltx23-trainer-v2/a2v`
- Docs page: https://doitong.com/yi/developers/models/ltx23-trainer-v2/a2v

## Pricing

Price: **$0.006 / step**. Billed per training step (`number_of_steps`).

The full example input below costs $12.00 = 12000 API credits (2000 steps × 6 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/a2v` 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 צו אַ `.zip` מיט טריינינג־דאַטן לויטן אויסגעקליבענעם טריינינג־מאָדוס. יעדער מעדיע־פֿײַל קען האָבן אַ צוגעבונדענעם `.txt`־caption מיטן זעלבן באַזע־נאָמען. |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | LoRA־אַדאַפּטאַציע־ראַנג; העכערע ווערטן געבן מער קאַפּאַציטעט אָבער נוצן מער זכּרון. |
| `number_of_steps` |  | integer | no | `2000` | 100 – 10,000 | גאַנצע צאָל טריינינג־שטאַפּלען. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | לערנ־קורס פֿאַר אָפּטימיזאַציע. |
| `number_of_frames` |  | integer | no | `89` | 9 – 121 | צאָל ראַמען אין יעדן טריינינג־בײַשפּיל. די צאָל צעטיילט דורך 8 מוז לאָזן רעשט 1; בײַשפּילן זענען 1, 9, 17, 25, 33, 41, 49, 57, 65, 73, 81, 89, 97. |
| `frame_rate` |  | integer | no | `24` | 8 – 60 | ציל־ראַם־קורס פֿון דער טריינינג־ווידעא אין ראַמען פּער סעקונדע. דער נאַטיווער קורס פֿאַר LTX-2.3 איז 24. |
| `resolution` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | טריינינג־רעזאָלוציע. העכערע רעזאָלוציען דאַרפֿן מער זכּרון. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | טריינינג־אַספּעקט־פאַרהעלטעניש. |
| `trigger_phrase` |  | string | no | `` |  | LoRA־סטיל־אַקטיוואַציע־פֿראַזע, אַרײַנגעשטעלט בײַם אָנהייב פֿון captions בעת טריינינג. |
| `auto_scale_input` |  | boolean | no | `false` |  | אָטאָמאַטישע ווידעא־צופּאַסונג צו דער געבעטן FPS און ראַם־צאָל; בילד־דאַטאַסעטן בלײַבן אומגעענדערט. |
| `split_input_into_scenes` |  | boolean | no | `false` |  | סצענע־צעטיילונג פֿאַר סינטעטישע טריינינג־ווידעאָס איבערן לענג־שוועל. ווען true, געשעט די צעטיילונג נאָך צוזאַמענשטעלן אָנהייב־בילד און אַודיאָ. |
| `split_input_duration_threshold` |  | number | no | `30` | 1 – 60 | טריגער פֿאַר סצענע־צעטיילונג ווי אַ לענג אין סעקונדעס: נאָר ווידעאָס לענגער ווי דער שוועל ווערן צעטיילט. |
| `debug_dataset` |  | boolean | no | `false` |  | Preprocessing־דורכזוכ־מאָדוס פֿאַר קאָנטראָלירן ווידעאָס, בילדער און captions פֿאַר אַ פולן טריינינג־לויף. |
| `audio_normalize` |  | boolean | no | `true` |  | Peak־נאָרמאַליזאַציע פֿון conditioning־אַודיאָ פֿאַר קאָנסיסטענטע לעוועלס איבערן דאַטאַסעט. |
| `audio_preserve_pitch` |  | boolean | no | `true` |  | Pitch־אָפּהאַלטן בעת צופּאַסן אַודיאָ צו ווידעא־לענג, אַנשטאָט פֿון שנײַדן אָדער צולייגן. |
| `validation` |  | array of object {prompt, image_url, audio_url} | no | `[]` | ≤ 2 items | וואַלידאַציע־פּראָמפּט־ליסטע וואָס פּאָרירט יעדן פּראָמפּט מיט אַ conditioning־אַודיאָ־טראַק. |
| `validation[].prompt` |  | string | yes |  |  | פּראָמפּט גענוצט בעת וואַלידאַציע. |
| `validation[].image_url` |  | string (image URL) | yes |  | ≥ 1 characters | URL פֿון אַ בילד וואָס a2v נוצט דירעקט ווי ערשטן ראַם, אַנשטאָט פֿון גענערירן אים. דער a2v בילד+אַודיאָ -> ווידעא־לויף נוצט ביידע ווי conditioning. |
| `validation[].audio_url` |  | string (audio URL) | yes |  | ≥ 1 characters | Conditioning־אַודיאָ־URL וואָס דרייווט ווידעא־גענערירונג. |
| `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.` |  | נעגאַטיווער פּראָמפּט בעת וואַלידאַציע; דער איין־שטאַפּל־פּריוויו קען זיך אונטערשיידן אין guidance און קוואַליטעט פֿון די ענדגילטיקע רעזולטאַטן. |
| `validation_number_of_frames` |  | integer | no | `89` | 9 – 121 | ראַם־צאָל פֿאַר יעדן וואַלידאַציע־ווידעא. |
| `validation_frame_rate` |  | integer | no | `24` | 8 – 60 | ציל־ראַם־קורס פֿאַר וואַלידאַציע־ווידעאָס, אין ראַמען פּער סעקונדע; LTX-2.3 לויפֿט נאַטיוו בײַ 24. |
| `validation_resolution` |  | enum (string) | no | `high` | `low`, `medium`, `high` | רעזאָלוציע גענוצט בעת וואַלידאַציע. |
| `validation_aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | אַספּעקט־פאַרהעלטעניש גענוצט בעת וואַלידאַציע. |
| `stg_scale` |  | number | no | `1` | 0 – 3 | Spatio-Temporal Guidance (STG)־סקאַלע; 1.0 איז רעקאָמענדירט, 0.0 שטעלט STG אויס. |

## 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/a2v?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/a2v?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/a2v", 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/a2v",
      "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/a2v",
  "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": 12000,
    "usd": "12.00",
    "charged": 12000,
    "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 | קאָמבינירטער ווידעא־פּריוויו פֿון וואַלידאַציע, ווען בנימצא פֿאַר ווידעא־ענדפּוינטס. |
| `audio` | object {url, content_type, file_name, file_size} \| null | קאָמבינירטער אַודיאָ פֿון וואַלידאַציע, ווי פּריוויו פֿאַר די אַודיאָ־בלויז רוטעס: /audio-inpaint, /audio-extend-suffix, /audio-extend-prefix, /t2a, /a2a און /v2a. |
| `lora_file` | object {url, content_type, file_name, file_size} | URL פֿאַר טריינירטע LoRA־ווייכטן אין .safetensors־פֿאָרמאַט. |
| `config_file` | object {url, content_type, file_name, file_size} | קאָנפֿיגוראַציע פֿאַר באַשטעטיקן אַן inference־ענדפּוינט. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Debug־רעזולטאַט ווען `debug_dataset` איז אַקטיוו: אַרכיוו צו דאַונלאָודן מיט טריינינג־דאַטן נאָך preprocessing. |

## 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) - 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/a2v
- 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/a2v
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx23-trainer-v2/a2v