# LTX-2.3 22B Video Trainer API

> Uči LoRA LTX-2.3 22B za prilagojene sloge in učinke videa, po želji z zvokom

Uči LoRA na modelu LTX-2.3 22B za prilagojene sloge in učinke iz arhiva zip videov ali slik, idealno z 10 ali več datotekami. `number_of_steps` sega od 100 do 6000 (privzeto 2000), `frame_rate` je privzeto 25, `first_frame_conditioning_p` pa 0.5. `with_audio` prisili ali onemogoči učenje zvoka, `generate_audio_in_validation` pa določa zvok v predogledih.

- 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/sl/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 arhiva ZIP za nabor podatkov, ki vsebuje izključno slike ali izključno videe; mešani nabori predstavnosti niso podprti. Priporočamo 10 datotek ali več, po možnosti večjo zbirko. Sprejete končnice so .png, .jpg, .jpeg za slike ter .mp4, .mov, .avi, .mkv za videe. Predstavnost lahko spremljajo neobvezne besedilne datoteke z napisi, pri čemer mora biti ime vsake datoteke z napisom enako imenu povezane predstavnostne datoteke. |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | Rang prilagoditve LoRA, pri katerem večja nastavitev pomeni večjo porabo pomnilnika in večjo zmogljivost. |
| `number_of_steps` |  | integer | no | `2000` | 100 – 6,000 | Skupno število korakov učenja. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | Stopnja učenja optimizacije, ki uravnava morebitno pohitritev učenja in tveganje preprileganja pri povečanju. |
| `number_of_frames` |  | integer | no | `89` | 9 – 121 | Število sličic za vsak učni vzorec. Deljenje števila z 8 mora pustiti ostanek 1; primeri so 1, 9, 17, 25, 33, 41, 49, 57, 65, 73, 81, 89, 97. |
| `frame_rate` |  | integer | no | `25` | 8 – 60 | Ciljna hitrost sličic videa, merjena v sličicah na sekundo. |
| `resolution` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | Ločljivost učenja. Povečanje ločljivosti poveča zahteve po pomnilniku. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Razmerje stranic pri učenju. |
| `trigger_phrase` |  | string | no | `` |  | Besedna zveza za aktivacijo sloga LoRA, vstavljena na začetek opisov med učenjem. |
| `auto_scale_input` |  | boolean | no | `false` |  | Samodejna prilagoditev videa zahtevanemu FPS in številu sličic, ko je omogočena; nabori slik ostanejo nespremenjeni. |
| `split_input_into_scenes` |  | boolean | no | `true` |  | Razdeljevanje prizorov pri videih, ki presegajo prag trajanja, omogočeno, ko je true. |
| `split_input_duration_threshold` |  | number | no | `30` | 1 – 60 | Sprožilec razdeljevanja prizorov, izražen kot trajanje v sekundah: razdelijo se samo videi, daljši od praga. |
| `debug_dataset` |  | boolean | no | `false` |  | Način pregleda predobdelave za preverjanje videov, slik in opisov pred celotnim učenjem. Z omogočanjem trener vrne obdelani učni nabor v arhivu, ki ga je mogoče prenesti in ročno pregledati. |
| `with_audio` |  | boolean \| null | no |  |  | Izberite True za vsiljeno učenje zvoka skupaj z učenjem videa ali False za izključitev zvoka. Če nastavitev pustite na privzeti vrednosti None, se izbira samodejno določi glede na to, ali posredovani videi vsebujejo zvok. |
| `audio_normalize` |  | boolean | no | `true` |  | Normalizacija vršne amplitude, priporočena za poenotenje ravni zvoka v celotnem naboru s privedbo vrhov na skupno raven. |
| `audio_preserve_pitch` |  | boolean | no | `true` |  | Ohranjanje višine tona, ko se dolžini zvoka in videa razlikujeta: omogočeno uporablja časovno raztezanje ali stiskanje; onemogočeno namesto tega uporablja obrezovanje ali dodajanje tišine. |
| `first_frame_conditioning_p` |  | number | no | `0.5` | 0 – 1 | Izboljšajte zmogljivost image-to-video tako, da povečate pogostost uporabe pogojevanja na prvi sličici pri učenju; ta vrednost določa verjetnost. |
| `validation` |  | array of object {prompt, image_url} | no | `[]` | ≤ 2 items | Seznam validacijskih pozivov za učenje, katerih vhodi morajo vsi vključevati slike ali pa jih vsi izpustiti. |
| `validation[].prompt` |  | string | yes |  |  | Poziv, uporabljen med preverjanjem. |
| `validation[].image_url` |  | string (image URL) \| null | no |  |  | Slika za validacijo image-to-video, dovoljena samo, če vsak drug validacijski vhod vključuje tudi sliko. |
| `validation_negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Negativni poziv, uporabljen med validacijo. |
| `validation_number_of_frames` |  | integer | no | `89` | 9 – 121 | Število sličic za vsak video preverjanja. |
| `validation_frame_rate` |  | integer | no | `25` | 8 – 60 | Ciljna hitrost sličic validacijskega videa, merjena v sličicah na sekundo. |
| `validation_resolution` |  | enum (string) | no | `high` | `low`, `medium`, `high` | Ločljivost, uporabljena med preverjanjem. |
| `validation_aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Razmerje stranic, uporabljeno med preverjanjem. |
| `stg_scale` |  | number | no | `1` | 0 – 3 | Merilo prostorsko-časovnega vodenja (STG), pri čemer je priporočena vrednost 1.0, vrednost 0.0 pa STG izklopi. |
| `generate_audio_in_validation` |  | boolean | no | `true` |  | Nadzira, ali validacijski vzorci vključujejo generirani zvok. |

## 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 vseh razpoložljivih validacijskih videov. |
| `lora_file` | object {url, content_type, file_name, file_size} | URL uteži naučenega LoRA v obliki .safetensors. |
| `config_file` | object {url, content_type, file_name, file_size} | Konfiguracija za nastavitev končne točke sklepanja. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Arhiv za odpravljanje napak, vrnjen samo za vhode z omogočenim `debug_dataset`; vsebuje predobdelan učni nabor podatkov, vključno z dekodiranim zvokom in videom. |

## 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