# Ltx 2.3 Quality · Reference Video to Video API

> Pembuatan berbasis prompt yang dipandu video referensi, dengan gambar keyframe awal, tengah, dan akhir opsional

Membuat video baru dari `prompt` wajib dan video referensi `video_url` yang menyediakan gerakan dan struktur. `image_url`, `mid_image_url`, dan `end_image_url` opsional dapat mengunci tampilan di awal, tengah, dan akhir. `video_strength` dan `strength` (keduanya 0 hingga 1) mengatur seberapa dekat hasil mengikuti atau mempertahankan sumber, dan `control_video_url` dapat menyediakan sinyal kontrol yang telah dihitung. `resolution` menawarkan auto atau prasetel tetap seperti square serta portrait atau landscape 16:9.

- Model id: `ltx-2.3-quality/reference-video-to-video`
- Made by: Lightricks
- Category: Video to Video
- Output: video
- Price per megapixel of your output video: $0.00241 / 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`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-quality/reference-video-to-video`
- Docs page: https://doitong.com/id/developers/models/ltx-2.3-quality/reference-video-to-video

## Pricing

Price: **$0.00241 / 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 $0.27 = 270 API credits (112 MP output video × $0.002408).

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` 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 |  |  | Prompt yang digunakan untuk mengarahkan pembuatan. |
| `video_url` | `video` | string (video URL) | yes |  |  | URL yang mengarah ke video referensi untuk memandu gerakan dan struktur. |
| `control_video_url` |  | string (video URL) \| null | no |  |  | Video kontrol yang telah dihitung sebelumnya secara opsional, digunakan sebagai pengganti estimasi kontrol bawaan jika diberikan bersama `skip_control_preprocess`. Video ini menjadi sinyal kontrol langsung setelah diubah ukurannya agar sesuai dengan dimensi output dan jumlah bingkai. Video tersebut dapat berisi, misalnya, komposit kedalaman, tepi, atau pose yang telah dirender. |
| `skip_control_preprocess` |  | boolean | no | `false` |  | Mode kontrol langsung menggunakan `control_video_url` alih-alih memperkirakan kedalaman, tepi, atau pose secara internal; tanpa URL tersebut, pengaturan ini diabaikan. Penentuan ukuran output dalam mode ini mematuhi dimensi eksplisit dengan perataan 64 agar video RGB dan kontrol tetap cocok, sedangkan `auto` menggunakan dimensi dan rasio aspek sumber dalam batas LTX. |
| `preserve_original_video` |  | boolean | no | `false` |  | Mode pelestarian video asli, hanya tersedia dengan `skip_control_preprocess`, `video_url`, dan `control_video_url`. Dinonaktifkan secara bawaan, mode ini mempertahankan pemrosesan kontrol standar; saat diaktifkan, pembuatan dimulai dari `video_url` sambil mempertahankan panduan struktural dari `control_video_url`. Denoising melalui `strength` menentukan jumlah yang dipertahankan, dengan pengaturan lebih rendah mempertahankan lebih banyak piksel asli. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Gaya penjangkaran gambar atau identitas karakter secara opsional sebagai keyframe bingkai pertama. |
| `mid_image_url` |  | string (image URL) \| null | no |  |  | Tampilan penjangkaran gambar secara opsional di dekat titik tengah klip, melengkapi keyframe `image_url` awal. Ini membantu tampilan mengikuti pergerakan kamera alih-alih bergeser; memerlukan `image_url`. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | Tampilan penjangkaran gambar secara opsional pada bingkai terakhir klip. Berguna saat pergerakan kamera berakhir di lokasi yang berbeda dari gambar awal; memerlukan `image_url`. |
| `video_strength` |  | number | no | `0.6` | 0 – 1 | Kebebasan untuk mengubah gerakan dan struktur dari video referensi dikontrol oleh kekuatan conditioning ini: pengaturan yang lebih kecil memungkinkan perubahan yang lebih besar. |
| `strength` |  | number | no | `1` | 0 – 1 | Kontrol denoising untuk sampling video-ke-video berbasis video referensi, yang efeknya bergantung pada `preserve_original_video`. Saat mode tersebut nonaktif, pengaturan ini hanya mempersingkat jadwal denoising; saat aktif, pengaturan ini mengontrol transformasi piksel sumber, dengan 1.0 membuat ulang semuanya dan pengaturan lebih rendah mempertahankan lebih banyak (misalnya, 0.5 mempertahankan sekitar 50%). |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Jumlah bingkai output, bergantung pada anggaran stabilitas IC-LoRA yang didasarkan pada resolusi dikalikan jumlah bingkai. Respons 422 berarti anggaran tersebut terlampaui: kurangi resolusi atau `num_frames`. Anggaran ini memungkinkan sekitar 150 bingkai pada dimensi kelas 720p dan lebih banyak pada ukuran yang lebih kecil. |
| `resolution` |  | object {width, height} \| enum (string) | no | `auto` | `auto`, `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Dimensi video output, yang juga memengaruhi durasi stabil: ukuran lebih kecil memungkinkan lebih banyak bingkai, sedangkan ukuran lebih besar menurunkan maksimum. Estimasi kontrol bawaan menjaga ukuran tetap dekat dengan alur kerja kontrol resmi; kontrol langsung melalui `skip_control_preprocess` dan `control_video_url` mengikuti dimensi eksplisit dengan perataan 64px. Dalam mode kontrol langsung, `auto` mewarisi dimensi dan rasio aspek sumber dalam batas LTX. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | Laju bingkai video output, diukur dalam bingkai per detik. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | Atur jumlah langkah inferensi yang dijalankan, hingga 30; jika tidak diubah, nilainya 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | Sesuaikan classifier-free guidance menggunakan skala ini; penyetelan bawaannya menargetkan kualitas tinggi sekaligus pembuatan cepat. |
| `generate_audio` |  | boolean | no | `true` |  | Sakelar trek audio untuk MP4 yang dikembalikan: nonaktif menghasilkan file khusus video, sedangkan aktif menyertakan audio. |
| `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` |  | Prompt negatif yang menentukan hal-hal yang harus dihindari dalam pembuatan. |
| `seed` |  | integer \| null | no |  |  | Seed yang membuat pembuatan dapat direproduksi. Mengaturnya ke None akan memilih seed secara acak. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Mengontrol apakah perluasan prompt diaktifkan. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Mengontrol apakah pemeriksaan keamanan diaktifkan. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Preset kualitas yang diterapkan pada video output. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Mode penulisan untuk video yang dihasilkan. |

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
{
  "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
{
  "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?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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 = {
    "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", 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",
      "input": {
        "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",
  "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": 270,
    "usd": "0.27",
    "charged": 270,
    "refunded": 0
  },
  "input": {
    "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} | Video yang dihasilkan model. |
| `seed` | integer | Seed aktual yang diterapkan selama pembuatan. |
| `prompt` | string | Prompt pembuatan, termasuk ekspansi yang diterapkan sebelum digunakan. |

## 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
- 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
- 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