# Ltx 2.3 Quality · Reference Video to Video · LoRA API

> Referánsa-video buvttadeapmi nugo vuođđovearru, muhto geavaha gitta 3 iešguđetlágan LoRA

Buvttada videoa geatnegahtton `prompt` ja referánsa-`video_url` vuođul lihkastahkii ja struktuvrii, ja gáibida dasto `loras`, gitta 3 LoRA-fiilla, juohkehaš eanemus 3 GB. Eaktodáhtolaš álgo-, gasku- ja loahpaváldogovat (`image_url`, `mid_image_url`, `end_image_url`) giddidit lági. `video_strength` ja `strength` leat 0 to 1, ja `num_frames` 9 to 481.

- Model id: `ltx-2.3-quality/reference-video-to-video/lora`
- Made by: Lightricks
- Category: Video to Video
- Output: video
- Price per megapixel of your output video: $0.00271 / megapixel of output video (cheapest run $0.003 (3 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltx-2.3-quality/reference-video-to-video/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-quality/reference-video-to-video/lora`
- Docs page: https://doitong.com/se/developers/models/ltx-2.3-quality/reference-video-to-video/lora

## Pricing

Price: **$0.00271 / megapixel of output video**. Price per megapixel of your output video: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.304 = 304 API credits (112 MP output video × $0.002708).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/ltx-2.3-quality/reference-video-to-video/lora` 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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Bivdda mii stivre ráhkadeami. |
| `video_url` | `video` | string (video URL) | yes |  |  | URL mii čujuha referánsa-videoi, mii geavahuvvo lihkadeami ja struktuvrra rávvagin. |
| `control_video_url` |  | string (video URL) \| null | no |  |  | Válljehahtti ovdagihtii rehkenaston stivrenvideo, mii geavahuvvo siskkáldas stivrenrehkenastima sajis, go dat addo ovttas `skip_control_preprocess`-ain. Resamplenejuvvon boađussuuruide ja rámma-loguide heivehuvvon video šaddá njuolggo stivrenčuoggá. Video sáhttá ovdamearkka dihte sisttisdoallat ovdagihtii ráhkaduvvon čikŋan-, ravda- dahje pozu-komposišuvnna. |
| `skip_control_preprocess` |  | boolean | no | `false` |  | Njuolggo stivrenmodus mii geavaha `control_video_url`-a čikŋaga, ravddaid dahje pozu siskkáldas rehkenastima sajis; almmá dán URL:a heivehus ii geavahuvvo. Dán modusa boađussuuruin čuovvut eksplisihtta sturrodagaid 64-heivehusain, vai RGB- ja stivrenvideot leat seammalágánat, ja `auto` geavaha gáldu sturrodaga ja aspektarátio LTX-rájiid siste. |
| `preserve_original_video` |  | boolean | no | `false` |  | Orginála-video seailluhanmodus, mii lea dušše vejolaš `skip_control_preprocess`, `video_url` ja `control_video_url`-ain. Standárdan heaittihuvvon modus doallá dábálaš stivrenproseassa; go dan bidjá johtui, ráhkadeapmi álggahuvvo `video_url`-as ja struktuvrralaš rávvagat `control_video_url`-as seailluhuvvojit. `strength`-a denoising stivre man olu seailluhuvvo; unnit árvu seailluhivččii eanet orginála govvadančuoggáid. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Válljehahtti govva-ankuvrenstálja dahje persovdnaidentitehta vuosttaš-rámma keyframea duohken. |
| `mid_image_url` |  | string (image URL) \| null | no |  |  | Válljehahtti govva-ankuvren lávddus klippa gaskamuttus, mii lasiha álggahus `image_url` keyframea. Dat veahkeha lávddu čuovvut kameralihkadeami iige rievdat; gáibida `image_url`. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | Válljehahtti govva-ankuvren lávddus klippa loahpahus-rámmain. Ávkkálaš go kameralihkadeapmi loahpá eará báikkis go álggahusgovva; gáibida `image_url`. |
| `video_strength` |  | number | no | `0.6` | 0 – 1 | Rávvagii gullevaš nanaheapmi stivre man friddja lea rievdadit lihkadeami ja struktuvrra referánsa-video rájes: unnit árvu diktá eanet rievdadusaid. |
| `strength` |  | number | no | `1` | 0 – 1 | Denoising-stivren referánsa-video rájes video-sámpalaide, man váikkuhus lea gitta `preserve_original_video`-modusis. Go modus lea eret, dat dušše oanehahttá denoising-plána; go modus lea jođus, dat stivre gáldu govvadančuoggáid rievdadeami. 1.0 ráhkada buot ođđasit, unnit árvut seailluhit eanet, ovdamearkka dihte 0.5 seailluhivččii sullii 50 %. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Boađus-rámmaid lohku, mii lea gitta IC-LoRA-stabiilavuođa bušeahtas, resolušuvdna geardumet rámmaid. 422-vástádus mearkkaša ahte bušeahtta lea mannan badjel; unnit resolušuvdna dahje `num_frames` geavat. Bušeahtta dohkkeha sullii 150 rámma 720p-lágan sturrodagaiguin ja eanet unnit sturrodagaiguin. |
| `resolution` |  | object {width, height} \| enum (string) | no | `auto` | `auto`, `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Boađus-video sturrodat, mii váikkuha maiddái stabiila guhkkodahkii: unnit sturrodagat diktet eanet rámmaid, stuorát sturrodagat unnidit max-logu. Siskkáldas stivrenrehkenastin doallá sturrodaga lagas almmolaš stivrenbargovugiidda; njuolggo stivren `skip_control_preprocess` ja `control_video_url`-ain čuovvu eksplisihtta sturrodagaid 64px-heivehusain. Njuolggo stivrenmodusas `auto` váldá gáldu sturrodaga ja aspektarátio LTX-rájiid siste. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | Boađus-video rámmafrekeansa, meroštallojuvvon rámmaiguin sekunddas. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | Mearrit man galle inference-ceahki čađahat, gitta 30 rádjái; jus dán ii rievdat, geavahuvvo 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | Heive classifier-free guidance dán skálain; dan standárdaheivehus ulbmil lea alla kvalitehta ja jođánis ráhkadeapmi. |
| `generate_audio` |  | boolean | no | `true` |  | Jietnaráiddu molssaeapmi máhcaheami MP4:i: apaguvvon ráhkada dušše video-fiila, aktiverejuvvon lasiha jietnaga. |
| `negative_prompt` |  | string | no | `color distortion, overexposure, static, blurry details, subtitles, style, artwork, painting, frame, still, dim overall tone, worst quality, low quality, JPEG compression artifacts, ugly, mutilated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, crowded background, walking backwards` |  | Negatiiva bivdda mii čilge maid ráhkadeapmi galgá heaittihit. |
| `seed` |  | integer \| null | no |  |  | Sádji, mii dahká ráhkadeami reprodukšuvnnalažžan. None bidjan vállje sádji juhkosiid mielde. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Stivre leago bivdda viiddideapmi anus. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Stivre bealuštaniskkadeami doaibmama. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Kvalitehta-heivehus mii geavahuvvo boađus-videui. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Boađusvideo čájehanvuohki. |
| `loras` |  | array of object {path, scale, transformer} | yes |  | ≤ 3 items | LoRA-lassemerkejumiid LTX-2.3 várás, juohkehaš gitta 3 GB rádjái ja eanemustá 3 merkejumi. Laddojeapmi dáhpáhuvvá dušše maŋŋá go registry SSRF-sihkkaris downloader lea viežžan juohke bálgá. |
| `loras[].path` |  | string | yes |  | ≤ 2048 characters | Njuolggo HTTP(S)-URL LoRA .safetensors-fiilii, mii ii leat stuorát go 3 GB. Laddojeami ovddas lea viežžan SSRF-sihkkaris downloader. |
| `loras[].scale` |  | number | no | `1` | 0 – 2 | LoRA váikkuhus ráhkaduvvon videui lassána go dát nanusvuohta lassána 0.0–2.0 rájáid siskkobealde. |
| `loras[].transformer` |  | enum (string) | no | `both` | `high`, `low`, `both` | Transformer-válljema flag: 'both' heive measta buohkaide geavaheddjiide LTX-2.3:a, daningo modeallas lea dušše okta transformer. Flag gávdno boahttevaš arkiitektuvrraide máŋgga transformerain. |

File parameters (`video`, `control_video_url`, `image`, `mid_image_url`, `end_image`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "loras": [
    {
      "path": "https://example.com/your-file.safetensors"
    }
  ],
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "loras": [
    {
      "path": "https://example.com/your-file.safetensors"
    }
  ],
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## 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.ru/v1/run/ltx-2.3-quality/reference-video-to-video/lora?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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/ltx-2.3-quality/reference-video-to-video/lora?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "loras": [
        {
            "path": "https://example.com/your-file.safetensors",
        },
    ],
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ltx-2.3-quality/reference-video-to-video/lora", 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.ru/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": "ltx-2.3-quality/reference-video-to-video/lora",
      "input": {
        "loras": [
          {
            "path": "https://example.com/your-file.safetensors"
          }
        ],
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "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": "ltx-2.3-quality/reference-video-to-video/lora",
  "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": 304,
    "usd": "0.304",
    "charged": 304,
    "refunded": 0
  },
  "input": {
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    },
    "seed": 42,
    "prompt": "string"
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | Modealla ráhkadan video. |
| `seed` | integer | Ieš sivaárvu mii geavahuvvo ráhkadeamis. |
| `prompt` | string | Ráhkadanbivdda, maiddái buot lassáneapmi mii lea dahkkon ovdal geavaheami. |

## Related models

- [Ltx 2.3 Quality · Text to Video](https://doitong.com/developers/models/ltx-2.3-quality/text-to-video.md) (`ltx-2.3-quality/text-to-video`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Text to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-quality/text-to-video/lora.md) (`ltx-2.3-quality/text-to-video/lora`): $0.00271 / megapixel of output video
- [Ltx 2.3 Quality · Image to Video](https://doitong.com/developers/models/ltx-2.3-quality/image-to-video.md) (`ltx-2.3-quality/image-to-video`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Image to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-quality/image-to-video/lora.md) (`ltx-2.3-quality/image-to-video/lora`): $0.00271 / megapixel of output video
- [Ltx 2.3 Quality · Ingredient](https://doitong.com/developers/models/ltx-2.3-quality/ingredient.md) (`ltx-2.3-quality/ingredient`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Clean Plate](https://doitong.com/developers/models/ltx-2.3-quality/clean-plate.md) (`ltx-2.3-quality/clean-plate`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Colorization](https://doitong.com/developers/models/ltx-2.3-quality/colorization.md) (`ltx-2.3-quality/colorization`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Cross Eyed](https://doitong.com/developers/models/ltx-2.3-quality/cross-eyed.md) (`ltx-2.3-quality/cross-eyed`): $0.00241 / megapixel of output video

## Links

- HTML page: https://doitong.com/developers/models/ltx-2.3-quality/reference-video-to-video/lora
- 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=ltx-2.3-quality/reference-video-to-video/lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltx-2.3-quality/reference-video-to-video/lora