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

> Hufunza LoRA ya video-kwa-video kutoka klipu za kabla/baada zilizooanishwa, ikiongozwa na video ya udhibiti ya marejeleo

Hufunza LoRA inayojifunza mabadiliko kutoka kwa klipu za kabla na baada zilizooanishwa na kuongozwa wakati wa inferensi na video ya rejeleo. Chaguomsingi ni hatua 3000 na `first_frame_conditioning_p` ya 0.1. `reference_downscale_factor` na `reference_temporal_scale_factor` (1 hadi 8) huruhusu proksi za rejeleo zenye ubora wa chini au fps ndogo.

- 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/sw/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 ya `.zip` iliyo na data ya mafunzo, iliyopangwa kulingana na hali iliyochaguliwa ya mafunzo. Kila faili ya media inaweza kuwa na manukuu ya `.txt` yenye jina msingi linalolingana. |
| `rank` |  | enum (integer) | no | `32` | `8`, `16`, `32`, `64`, `128` | Daraja la urekebishaji la LoRA, linalobadilisha matumizi makubwa ya kumbukumbu kwa uwezo mkubwa zaidi kadiri mpangilio unavyoongezeka. |
| `number_of_steps` |  | integer | no | `3000` | 100 – 10,000 | Jumla ya idadi ya hatua za mafunzo. |
| `learning_rate` |  | number | no | `0.0002` | 0.000001 – 1 | Kasi ya ujifunzaji ya uboreshaji. |
| `number_of_frames` |  | integer | no | `89` | 9 – 121 | Idadi ya fremu kwa kila sampuli ya mafunzo. Kugawa idadi hiyo kwa 8 lazima kuache salio la 1; mifano ni 1, 9, 17, 25, 33, 41, 49, 57, 65, 73, 81, 89, 97. |
| `frame_rate` |  | integer | no | `24` | 8 – 60 | Kasi lengwa ya fremu ya video ya mafunzo kwa fremu kwa sekunde. Kasi asilia ya LTX-2.3 ni 24. |
| `resolution` |  | enum (string) | no | `medium` | `low`, `medium`, `high` | Mwonekano wa mafunzo. Kuongeza mwonekano huongeza mahitaji ya kumbukumbu. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Uwiano wa mafunzo. |
| `trigger_phrase` |  | string | no | `` |  | Kauli ya uanzishaji wa mtindo wa LoRA, inayowekwa mwanzoni mwa manukuu wakati wa mafunzo. |
| `auto_scale_input` |  | boolean | no | `false` |  | Marekebisho ya video kiotomatiki ili yalingane na FPS na idadi ya fremu iliyoombwa yanapowashwa; seti za data za picha hazibadilishwi. |
| `split_input_into_scenes` |  | boolean | no | `true` |  | Ugawaji wa mandhari kwa video zinazozidi kizingiti cha muda, ukiwashwa wakati true. |
| `split_input_duration_threshold` |  | number | no | `30` | 1 – 60 | Kichocheo cha kugawa mandhari kinachoonyeshwa kama muda kwa sekunde: video ndefu kuliko kizingiti pekee ndizo hugawanywa. |
| `debug_dataset` |  | boolean | no | `false` |  | Hali ya ukaguzi wa uchakataji awali kwa kuangalia video, picha na manukuu kabla ya uendeshaji kamili wa mafunzo. Kuiwasha humfanya mkufunzi arudishe seti ya data ya mafunzo iliyochakatwa katika jalada linaloweza kupakuliwa kwa ukaguzi wa mikono. |
| `first_frame_conditioning_p` |  | number | no | `0.1` | 0 – 1 | Pendelea ubadilishaji wa video-to-video kwa kupunguza mara ambazo mafunzo hutumia masharti ya fremu ya kwanza; thamani hii huweka uwezekano huo. |
| `validation` |  | array of object {prompt, reference_video_url} | no | `[]` | ≤ 2 items | Orodha ya maingizo ya uthibitishaji yenye vidokezo vilivyooanishwa na video za marejeleo. |
| `validation[].prompt` |  | string | yes |  |  | Kidokezo kinachotumiwa wakati wa uthibitishaji. |
| `validation[].reference_video_url` |  | string (video URL) | yes |  | ≥ 1 characters | Toa video itakayobadilishwa wakati wa uthibitishaji wa IC-LoRA kupitia URL yake. |
| `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.` |  | Kidokezo hasi kinachotumiwa wakati wa uthibitishaji, ambao hutumia mchakato wa hakikisho wa hatua moja. Kwa kuwa mchakato huo hukadiria uelekezaji wa uzalishaji uliosafishwa wa hatua mbili, uelekezaji na ubora wa hakikisho hutofautiana na matokeo ya mwisho. |
| `validation_number_of_frames` |  | integer | no | `89` | 9 – 121 | Idadi ya fremu kwa kila video ya uthibitishaji. |
| `validation_frame_rate` |  | integer | no | `24` | 8 – 60 | Kasi lengwa ya fremu za video za uthibitishaji, kwa fremu kwa sekunde; LTX-2.3 huendesha asili kwa 24. |
| `validation_resolution` |  | enum (string) | no | `high` | `low`, `medium`, `high` | Mwonekano unaotumiwa wakati wa uthibitishaji. |
| `validation_aspect_ratio` |  | enum (string) | no | `1:1` | `16:9`, `1:1`, `9:16` | Uwiano unaotumiwa wakati wa uthibitishaji. |
| `stg_scale` |  | number | no | `1` | 0 – 3 | Kipimo cha Mwongozo wa Anga na Muda (STG), ambapo 1.0 inapendekezwa na 0.0 huzima STG. |
| `reference_downscale_factor` |  | integer | no | `1` | 1 – 8 | Kigezo cha kupunguza anga cha video ya marejeleo ya udhibiti wa IC-LoRA; 1 ni chaguo chaguomsingi na huhifadhi mwonekano na tabia. Kabla ya usimbaji, marejeleo hupunguzwa kwa kigezo hiki ili kufundisha LoRA kutoa tokeo la mwonekano kamili kutoka ingizo ghafi lenye mwonekano mdogo, kama proksi ndogo ya mkao, kina au mchoro. Upana na urefu lazima vigawanyike kwa 32, kabla na baada ya kugawanywa kwa kigezo. |
| `reference_temporal_scale_factor` |  | integer | no | `1` | 1 – 8 | Kigezo cha kupunguza kasi ya fremu cha marejeleo kwa udhibiti wa IC-LoRA, chaguo chaguomsingi likiwa 1 ili kuhifadhi fps na tabia. Video ya marejeleo hupunguzwa kwa muda kwa kigezo hiki kabla ya usimbaji, hivyo marejeleo yenye fps ndogo yanaweza kuendesha LoRA. |

## 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 | Hakikisho la video lililounganishwa kutoka kwa uthibitishaji, linapopatikana kwa endpoint zinazozalisha video. |
| `audio` | object {url, content_type, file_name, file_size} \| null | Sauti iliyounganishwa kutoka kwa uthibitishaji, inayotolewa kama hakikisho inapopatikana kwa njia hizi za sauti pekee: /audio-inpaint, /audio-extend-suffix, /audio-extend-prefix, /t2a, /a2a, na /v2a. |
| `lora_file` | object {url, content_type, file_name, file_size} | URL ya uzito wa LoRA uliofunzwa katika umbizo la .safetensors. |
| `config_file` | object {url, content_type, file_name, file_size} | Usanidi wa kuweka endpoint ya uelekezaji. |
| `debug_dataset` | object {url, content_type, file_name, file_size} \| null | Tokeo la utatuzi linalopatikana `debug_dataset` inapowashwa: jalada linaloweza kupakuliwa na lenye data ya mafunzo baada ya uchakataji awali. |

## 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