# LTX-2.3 22B Video Trainer API

> Iħarreġ LoRA LTX-2.3 22B għal stili u effetti personalizzati tal-vidjo, b’awdjo fakultattiv

Iħarreġ LoRA fuq il-mudell LTX-2.3 22B għal stili u effetti personalizzati minn zip ta’ vidjows jew stampi, idealment 10 fajls jew aktar. `number_of_steps` ivarja minn 100 sa 6000 (default 2000), `frame_rate` huwa 25 b’mod awtomatiku, u `first_frame_conditioning_p` huwa 0.5 b’mod awtomatiku. `with_audio` jisforza jew jiddiżattiva t-taħriġ tal-awdjo, u `generate_audio_in_validation` jikkontrolla l-awdjo fil-previews.

- Model id: `ltx23-video-trainer`
- Made by: Lightricks
- Category: Training
- Output: file
- Price: $0.0048 / step (cheapest run $9.60 (9600 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx23-video-trainer`
- Quote: `POST https://api.doitong.com/v1/quote/ltx23-video-trainer`
- Docs page: https://doitong.com/mt/developers/models/ltx23-video-trainer

## Pricing

Price: **$0.0048 / step**. Billed per training step (`number_of_steps`).

The full example input below costs $9.60 = 9600 API credits (2000 steps × 4.8 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-video-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 |  |  | URL ta' arkivju ZIP għal dataset li fih esklużivament immaġnijiet jew esklużivament vidjows; datasets b'midja mħallta mhumiex appoġġjati. Immira għal 10 fajls jew aktar, preferibbilment ġabra akbar. L-estensjonijiet aċċettati huma .png, .jpg, .jpeg għall-immaġnijiet u .mp4, .mov, .avi, .mkv għall-vidjows. Fajls tat-test fakultattivi bil-caption jistgħu jakkumpanjaw il-midja, b'kull fajl tal-caption imsemmi biex jaqbel mal-fajl tal-midja assoċjat tiegħu. |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | Rank tal-adattament LoRA, li jiskambja konsum akbar tal-memorja għal kapaċità akbar hekk kif jiżdied l-issettjar. |
| `number_of_steps` |  | integer | no | `2000` | 100 – 6,000 | Għadd totali ta' passi tat-taħriġ. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | Rata tat-tagħlim tal-ottimizzazzjoni, li tibbilanċja żieda possibbli fil-veloċità tat-taħriġ mar-riskju ta' overfitting meta tiżdied. |
| `number_of_frames` |  | integer | no | `89` | 9 – 121 | Għadd ta' frejms għal kull kampjun tat-taħriġ. Id-diviżjoni tal-għadd bi 8 trid tħalli fdal ta' 1; eżempji jinkludu 1, 9, 17, 25, 33, 41, 49, 57, 65, 73, 81, 89, 97. |
| `frame_rate` |  | integer | no | `25` | 8 – 60 | Rata tal-frejms tal-vidjo fil-mira, imkejla f'frejms kull sekonda. |
| `resolution` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | Riżoluzzjoni tat-taħriġ. Żieda fir-riżoluzzjoni żżid ir-rekwiżiti tal-memorja. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Proporzjon tal-aspett tat-taħriġ. |
| `trigger_phrase` |  | string | no | `` |  | Frażi ta' attivazzjoni tal-istil LoRA, imdaħħla fil-bidu tal-captions waqt it-taħriġ. |
| `auto_scale_input` |  | boolean | no | `false` |  | Aġġustament awtomatiku tal-vidjo biex jaqbel mal-FPS u mal-għadd ta' frejms mitlubin meta jkun attivat; datasets tal-immaġni jibqgħu mhux mibdulin. |
| `split_input_into_scenes` |  | boolean | no | `true` |  | Diviżjoni tax-xeni għal vidjos li jaqbżu limitu tat-tul, attivata meta tkun true. |
| `split_input_duration_threshold` |  | number | no | `30` | 1 – 60 | Trigger tad-diviżjoni tax-xeni espress bħala tul f'sekondi: vidjos biss itwal mil-limitu jinqasmu. |
| `debug_dataset` |  | boolean | no | `false` |  | Modalità ta' spezzjoni tal-ipproċessar minn qabel għall-iċċekkjar tal-vidjos, l-immaġnijiet u l-captions qabel ġirja sħiħa tat-taħriġ. L-attivazzjoni tagħha tagħmel lit-trainer jirritorna d-dataset tat-taħriġ ipproċessat f'arkivju li jista' jitniżżel għal reviżjoni manwali. |
| `with_audio` |  | boolean \| null | no |  |  | Agħżel True biex tisforza t-taħriġ tal-awdjo flimkien mat-taħriġ tal-vidjo, jew False biex teskludi l-awdjo. Jekk tħalli s-setting bil-valur prestabbilit tiegħu, None, l-għażla ssir awtomatikament skont jekk il-vidjows ipprovduti fihomx awdjo. |
| `audio_normalize` |  | boolean | no | `true` |  | Normalizzazzjoni tal-amplitudni massima, rakkomandata biex tagħmel il-livelli tal-awdjo konsistenti fid-dataset kollu billi ġġib il-qċaċet għal livell komuni. |
| `audio_preserve_pitch` |  | boolean | no | `true` |  | Preservazzjoni tal-pitch meta t-tul tal-awdjo u tal-vidjo jvarja: attivata tuża tiġbid jew kompressjoni taż-żmien; diżattivata tuża qtugħ jew padding bis-skiet minflok. |
| `first_frame_conditioning_p` |  | number | no | `0.5` | 0 – 1 | Ittejjeb il-prestazzjoni image-to-video billi żżid kemm-il darba t-taħriġ juża l-kundizzjonament tal-ewwel frejm; dan il-valur jistabbilixxi dik il-probabbiltà. |
| `validation` |  | array of object {prompt, image_url} | no | `[]` | ≤ 2 items | Lista ta’ prompts għall-validazzjoni tat-taħriġ, li l-inputs tagħhom iridu jew kollha jinkludu immaġni jew kollha jkunu mingħajrhom. |
| `validation[].prompt` |  | string | yes |  |  | Prompt użat waqt il-validazzjoni. |
| `validation[].image_url` |  | string (image URL) \| null | no |  |  | Immaġni għall-validazzjoni image-to-video, permessa biss jekk kull input ieħor ta' validazzjoni jinkludi wkoll immaġni. |
| `validation_negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Prompt negattiv applikat waqt il-validazzjoni. |
| `validation_number_of_frames` |  | integer | no | `89` | 9 – 121 | Għadd ta' frejms għal kull vidjo ta' validazzjoni. |
| `validation_frame_rate` |  | integer | no | `25` | 8 – 60 | Rata tal-frejms tal-vidjo tal-validazzjoni fil-mira, imkejla f'frejms kull sekonda. |
| `validation_resolution` |  | enum (string) | no | `high` | `low`, `medium`, `high` | Riżoluzzjoni użata waqt il-validazzjoni. |
| `validation_aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Proporzjon tal-aspett użat waqt il-validazzjoni. |
| `stg_scale` |  | number | no | `1` | 0 – 3 | Skala ta' Spatio-Temporal Guidance (STG), b'1.0 rakkomandat u 0.0 jitfi STG. |
| `generate_audio_in_validation` |  | boolean | no | `true` |  | Jikkontrolla jekk il-kampjuni ta' validazzjoni jinkludux awdjo ġġenerat. |

## 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-video-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-video-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-video-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-video-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-video-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": 9600,
    "usd": "9.60",
    "charged": 9600,
    "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 | URL għal kwalunkwe vidjows ta' validazzjoni disponibbli. |
| `lora_file` | object {url, content_type, file_name, file_size} | URL għal piżijiet LoRA mħarrġa f'format .safetensors. |
| `config_file` | object {url, content_type, file_name, file_size} | Konfigurazzjoni għas-setup tal-endpoint tal-inferenza. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Arkivju ta' debug li jista' jitniżżel, ritornat biss għal inputs b'`debug_dataset` attivat; fih id-dataset tat-taħriġ ipproċessat minn qabel, inkluż awdjo u vidjo dekodifikati. |

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