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

> Traenálann sé LoRA físeán-go-físeán ó ghearrthóga roimh/i ndiaidh atá péireáilte, faoi stiúir físeáin rialaithe tagartha

Traenálann sé LoRA a fhoghlaimíonn claochlú ó ghearrthóga roimh agus i ndiaidh atá péireáilte, agus a stiúrann físeán tagartha é ag tátal. Is iad 3000 céim agus `first_frame_conditioning_p` de 0.1 na réamhshocruithe. Ceadaíonn `reference_downscale_factor` agus `reference_temporal_scale_factor` (1 go 8) seachfhíseáin tagartha gharbha nó ar ráta íseal frámaí.

- Model id: `ltx23-trainer-v2/v2v`
- Made by: Lightricks
- Category: Training
- Output: file
- Price: $0.0059 / step (cheapest run $17.70 (17700 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx23-trainer-v2/v2v`
- Quote: `POST https://api.doitong.com/v1/quote/ltx23-trainer-v2/v2v`
- Docs page: https://doitong.com/ga/developers/models/ltx23-trainer-v2/v2v

## Pricing

Price: **$0.0059 / step**. Billed per training step (`number_of_steps`).

The full example input below costs $17.70 = 17700 API credits (3000 steps × 5.9 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/v2v` 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 chuig `.zip` ina bhfuil sonraí oiliúna, eagraithe de réir an mhóid oiliúna roghnaithe. D’fhéadfadh comhad `.txt` fotheidealaithe le bunainm comhfhreagrach a bheith ag gabháil le gach comhad meán. |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | Rang oiriúnaithe LoRA, a mhalartaíonn tomhaltas cuimhne méadaithe ar acmhainn níos mó de réir mar a ardaíonn an socrú. |
| `number_of_steps` |  | integer | no | `3000` | 100 – 10,000 | Líon iomlán na gcéimeanna oiliúna. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | Ráta foghlama optamaithe. |
| `number_of_frames` |  | integer | no | `89` | 9 – 121 | Líon frámaí gach sampla oiliúna. Caithfidh fuílleach 1 a bheith ann nuair a roinntear an líon ar 8; mar shampla 1, 9, 17, 25, 33, 41, 49, 57, 65, 73, 81, 89, 97. |
| `frame_rate` |  | integer | no | `24` | 8 – 60 | Spriocráta fráma físeáin na hoiliúna i bhfrámaí sa soicind. Is é 24 an ráta dúchasach do LTX-2.3. |
| `resolution` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | Taifeach na hoiliúna. Méadaíonn méadú an taifigh riachtanais chuimhne. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Cóimheas gnéithe na hoiliúna. |
| `trigger_phrase` |  | string | no | `` |  | Frása gníomhachtaithe stíle LoRA, curtha isteach ag tús na bhfotheideal le linn na hoiliúna. |
| `auto_scale_input` |  | boolean | no | `false` |  | Coigeartú uathoibríoch físeáin chun an FPS agus líon frámaí iarrtha a mheaitseáil nuair a chumasaítear é; fanann tacair sonraí íomhánna gan athrú. |
| `split_input_into_scenes` |  | boolean | no | `true` |  | Scoilteadh radharcanna d’fhíseáin a sháraíonn tairseach faid, cumasaithe nuair atá sé true. |
| `split_input_duration_threshold` |  | number | no | `30` | 1 – 60 | Truicear scoilteadh radharcanna léirithe mar fhad i soicindí: ní scoiltear ach físeáin atá níos faide ná an tairseach. |
| `debug_dataset` |  | boolean | no | `false` |  | Mód iniúchta réamhphróiseála chun físeáin, íomhánna agus fotheidil a sheiceáil roimh rith iomlán oiliúna. Má chumasaítear é, cuireann an traenálaí an tacar sonraí oiliúna próiseáilte ar ais i gcartlann is féidir a íoslódáil lena athbhreithniú de láimh. |
| `first_frame_conditioning_p` |  | number | no | `0.1` | 0 – 1 | Tabhair tosaíocht do chlaochlú físeán-go-físeán trí laghdú a dhéanamh ar a mhinice a úsáideann oiliúint coinníollú an chéad fhráma; socraíonn an luach seo an dóchúlacht sin. |
| `validation` |  | array of object {prompt, reference_video_url} | no | `[]` | ≤ 2 items | Liosta ionchuir bailíochtaithe ina bhfuil leideanna péireáilte le físeáin thagartha. |
| `validation[].prompt` |  | string | yes |  |  | Leid a úsáidtear le linn bailíochtaithe. |
| `validation[].reference_video_url` |  | string (video URL) | yes |  | ≥ 1 characters | Soláthair URL an fhíseáin atá le claochlú le linn bailíochtú IC-LoRA. |
| `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.` |  | Leid dhiúltach a chuirtear i bhfeidhm le linn bailíochtaithe, a úsáideann próiseas réamhamhairc aonchéime. Toisc go ndéanann an próiseas sin tátal táirgthe driogtha dhá chéim a chomhfhogasú, bíonn a threoir agus a cháilíocht réamhamhairc éagsúil leis na torthaí deiridh. |
| `validation_number_of_frames` |  | integer | no | `89` | 9 – 121 | Líon frámaí gach físeáin bhailíochtaithe. |
| `validation_frame_rate` |  | integer | no | `24` | 8 – 60 | Spriocráta fráma na bhfíseán bailíochtaithe, i bhfrámaí sa soicind; ritheann LTX-2.3 go dúchasach ag 24. |
| `validation_resolution` |  | enum (string) | no | `high` | `low`, `medium`, `high` | Taifeach a úsáidtear le linn bailíochtaithe. |
| `validation_aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Cóimheas gnéithe a úsáidtear le linn bailíochtaithe. |
| `stg_scale` |  | number | no | `1` | 0 – 3 | Scála Spatio-Temporal Guidance (STG), le 1.0 molta agus 0.0 ag casadh STG as. |
| `reference_downscale_factor` |  | integer | no | `1` | 1 – 8 | Fachtóir laghdaithe spásúil don fhíseán tagartha rialaithe IC-LoRA; is é 1 an réamhshocrú agus caomhnaíonn sé taifeach agus iompar. Roimh ionchódú, laghdaítear an tagairt de réir scála leis an bhfachtóir seo chun LoRA a theagasc aschur lán-taifigh a tháirgeadh ó ionchur garbh, ísealtaifigh, amhail seachfhreastalaí beag staide, doimhneachta nó sceitse. Éilítear inroinnteacht ar 32 do leithead agus airde araon, roimh iad a roinnt ar an bhfachtóir agus ina dhiaidh. |
| `reference_temporal_scale_factor` |  | integer | no | `1` | 1 – 8 | Fachtóir laghdaithe an ráta fráma don tagairt le haghaidh rialú IC-LoRA, réamhshocraithe go 1 chun fps agus iompar a chaomhnú. Déantar íosshampláil ama ar an bhfíseán tagartha de réir an fhachtóra seo roimh ionchódú, rud a ligeann do thagairt ar fps íseal an LoRA a thiomáint. |

## 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/v2v?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/v2v?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/v2v", 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/v2v",
      "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/v2v",
  "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": 17700,
    "usd": "17.70",
    "charged": 17700,
    "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 | Réamhamharc comhcheangailte físeáin ón mbailíochtú, nuair atá sé ar fáil do chríochphointí a tháirgeann físeán. |
| `audio` | object {url, content_type, file_name, file_size} \| null | Fuaim chomhcheangailte ón mbailíochtú, curtha ar fáil mar réamhamharc nuair atá sí ar fáil do na bealaí fuaime amháin seo: /audio-inpaint, /audio-extend-suffix, /audio-extend-prefix, /t2a, /a2a, agus /v2a. |
| `lora_file` | object {url, content_type, file_name, file_size} | URL do mheáchain LoRA oilte i bhformáid .safetensors. |
| `config_file` | object {url, content_type, file_name, file_size} | Cumraíocht le haghaidh socrú an chríochphointe tátail. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Aschur dífhabhtaithe ar fáil nuair atá `debug_dataset` cumasaithe: cartlann is féidir a íoslódáil ina bhfuil na sonraí oiliúna tar éis na réamhphróiseála. |

## 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-trainer-v2/v2v
- 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/v2v
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx23-trainer-v2/v2v