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

> ᠮᡠᠰᡝ ᡥᡡᠯᠠᠨ ᡳ ᠵᡠᠯᡝ ᠮᡝᠶᡝᠨ ᡩᠠᡳ 3 ᠵᠠᠩᡤᡳ ᠵᡠᠯᡝᠨ LoRA ᠪᡝ ᠠᠵᠠᠨᠠᠮᡝ

ᠠᠴᠠᠨ `prompt` ᠵᠠᡳ `video_url` ᡳ ᠠᠴᠠᠨ ᠵᡠᠰᡝᠨ ᡩᡝ ᠵᡠᠯᡤᡝᡵᡝ `loras` ᡳ ᠠᠰᡠᠮᡝ 3 LoRA ᠵᡠᠰᡝᠨ ᡳ ᠪᡝᠶᡝ 3 GB ᡩᡝ ᠣᠯᡤᡳᠨᠠᠮᡝ ᠠᠴᠠᠨᡳ ᠵᡠᠯᡤᡝᡵᡝ ᠵᡠᠯᡤᡝᡵᡝ ᠠᠴᠠᠨ `image_url`, `mid_image_url`, `end_image_url` ᡳ ᠵᡠᠯᡤᡝᡵᡝᠮᡝ `video_strength` ᠵᠠᡳ `strength` 0 ᡩᡝ 1 ᠵᠠᡳ `num_frames` 9 ᡩᡝ 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/mnc/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 |  |  | ᠪᡠᠶᡝᠮᡝᠨ ᠪᡝ ᡩᠠᠯᡵᡳᠮᡝ ᠠᡵᠠᡥᠠ ᡥᡡᠯᠠᠨ. |
| `video_url` | `video` | string (video URL) | yes |  |  | ᠵᡠᠰᡠ ᠰᡠᠨᡤᠠ ᡳ ᠵᡠᠯᡝ ᡩᡝ ᠵᠠᠯᡠ ᠵᡠᠰᡠ ᠵᡠᠯᡤᡝ ᠪᡠᠮᡝ ᠵᡠᠯᡝᠮᠪᡳ ᠵᡠᠰᡠ URL ᠪᡳ᠃ |
| `control_video_url` |  | string (video URL) \| null | no |  |  | ᠵᠠᠯᡠ ᠵᡠᠰᡠ ᠰᡠᠨᡤᠠ᠂ `skip_control_preprocess` ᡩᡝ ᠵᠠᠯᡳᠨ ᠪᡠᠮᡝ ᠪᠠᡳᠴᠠᠯᠠᠨ ᠵᠠᠯᡠ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠃ ᠵᠠᠯᠠᠨ ᠵᠠᠯᡳᠨ ᡩᡝ ᠵᠠᠯᡠ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠃ |
| `skip_control_preprocess` |  | boolean | no | `false` |  | ᡝᠯᡤᡳᠨ ᠪᡠᠶᡝᠮᡝ ᠮᡠᠯᡤᡝ ᠪᡠᠮᡝ `control_video_url` ᡩᡝ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠃ `auto` ᡩᡝ ᠣᠩᡤᠣᠯᠣ ᠵᠠᠯᠠᠨ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠂ LTX ᡳ ᠵᠠᠯᡳᠨ ᡩᡝ ᠪᠠᠨᠵᡳᠮᠪᡳ᠃ |
| `preserve_original_video` |  | boolean | no | `false` |  | ᡩᠠ ᠸᡳᡩᡳᠣ ᡝᠪᡠᠮᡝ ᡤᠠᠮᠠᠷᠠ ᠠᡩᠠᠯᡳᠨ᠈ ᡥᠣᠨᡳ `skip_control_preprocess`, `video_url`, `control_video_url` ᡳ ᡝᠮᡤᡳ ᠪᠠᡳᡨᠠᠯᠠᠮᠪᡳ᠉ ᠵᡠᠯᡝ ᡩᡝ ᡶᠠᠯᡥᠣᠨ ᠣᡶᡳ᠈ ᡩᠣᠷᠣᡳ ᡩᠠᠷᠠᠮᡝ ᠪᠠᡳᡨᠠᠯᠠᠷᠠ ᠠᠷᠠᠨ ᠪᡝ ᡤᡠᠸᠠᠯᠠᠷᠠᡴᡡ᠉ ᠨᡝᡳᠪᡠᡥᡝ ᠮᠠᠩᡤᡳ᠈ `video_url` ᠴᡳ ᠪᡠᠶᡝᠮᡝ ᡩᡝᠷᡳᠪᡠᠮᡝ᠈ `control_video_url` ᡳ ᡨᠠᠴᡳᠪᡠᠷᡝ ᠪᡝ ᡝᠪᡠᠮᡝ ᡤᠠᠮᠠᠮᠪᡳ᠉ `strength` ᡳ ᠴᠣᡥᠣᠷᠣ ᠰᡠᡴᡩᡠᠨ ᠪᡝ ᡤᡝᡨᡝᠷᡝ ᠠᠷᠠᠨ ᡝᠪᡠᠮᡝ ᡤᠠᠮᠠᠷᠠ ᡨᠣᠨ ᠪᡝ ᡨᠣᡴᡨᠣᠪᡠᠮᠪᡳ᠈ ᡶᡝᠵᡳᠯᡝ ᡨᠣᠨ ᠪᡝ ᠰᡝᠯᡝᡥᡝ ᡩᡝ ᡩᠠ ᠨᡳᠷᡠᡤᠠᠨ ᡳ ᡨᠣᡥᠣᠨ ᠪᡝ ᡝᠯᡝ ᠯᠠᠪᡩᡠ ᡝᠪᡠᠮᡝ ᡤᠠᠮᠠᠮᠪᡳ᠉ |
| `image_url` | `image` | string (image URL) \| null | no |  |  | ᠵᡠᠯᡝ ᡤᠠᠳᠠᠨ ᠵᠠᠯᡳᠨ ᠵᡠᠯᡝ ᡳ ᡶᡝᠨᡤᡳ ᡶᡳᠯᡝᠮᡝ ᠵᠠᠯᡠ ᠪᠠᡳᠨᠠᠮᠪᡳ᠃ |
| `mid_image_url` |  | string (image URL) \| null | no |  |  | ᠵᠠᠯᡠ ᡤᠠᠳᠠᠨ ᠵᡠᠯᡝ ᡳ ᡩᠠᠯᡤᠠᠨ ᡩᡝ ᠪᠠᡳᠨᠠᠮᠪᡳ᠂ `image_url` ᠵᠠᠯᡳᠨ ᠪᡝᡳ᠃ |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | ᠵᠠᠯᡠ ᡤᠠᠳᠠᠨ ᠰᡠᠨᡤᠠ ᡳ ᠰᡠᠯᡤᡝ ᡳ ᡶᡳᠯᡝᠮᡝ ᡩᡝ ᠪᡳᠮᠪᡳ᠃ `image_url` ᠵᠠᠯᡳᠨ ᠪᡝᡳ᠃ |
| `video_strength` |  | number | no | `0.6` | 0 – 1 | ᠵᡠᠰᡠ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᡠ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠂ ᠵᡠᠯᡝ ᠵᠠᠯᡠ ᠵᠠᠯᡳᠨ ᠵᡠᠰᡠ ᠠᠯᡤᠠᠮᠪᡳ᠃ |
| `strength` |  | number | no | `1` | 0 – 1 | `preserve_original_video` ᡳ ᠵᠠᠯᡳᠨ ᡩᡝ ᠵᠠᠯᡠ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠃ ᡝᡵᡝ ᠵᠠᠯᡳᠨ ᠣᠴᡳ ᠵᡠᠯᡝ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᡳᠨ ᠵᠠᠯᡠ ᠪᡠᠶᡝᠮᠪᡳ᠂ ᠠᠮᡤᠠᠨ 1.0 ᠵᠠᠯᡠ ᠵᡠᠰᡠ ᠪᡠᠶᡝᠮᠪᡳ᠂ 0.5 ᠵᠠᠯᡠ 50% ᠪᠠᡳᠨᠠᠮᠪᡳ᠃ |
| `num_frames` |  | integer | no | `121` | 9 – 481 | ᠪᡠᠶᡝᠮᡝ ᡶᡳᠯᡝᠮᡝ ᡳ ᡨᠣᠨ᠈ ᠵᠠᠯᠠᠨ ᠪᡝ ᡶᡳᠯᡝᠮᡝ ᡳ ᡨᠣᠨ ᡩᡝ ᡴᠠᠮᠴᡳᠮᡝ ᠪᠣᡩᠣᡥᠣ IC-LoRA ᡳ ᡨᠣᡴᡨᠣᠨ ᡶᡳᠶᠠᠨ ᡩᡝ ᠠᡩᠠᠯᠠᠪᡠᠮᠪᡳ᠉ 422 ᡥᠠᠷᡳᠨ ᠣᠴᡳ ᡨᡝᠷᡝ ᡶᡳᠶᠠᠨ ᠪᡝ ᡩᡠᠯᡝᠮᠪᡠᡥᡝ ᠰᡝᠷᡝ ᡤᡳᠰᡠᠨ᠄ ᠵᠠᠯᠠᠨ ᡝᠪᡠ `num_frames` ᠪᡝ ᡝᠪᡝᠯᡳᠶᡝᠪᡠ᠉ ᡨᡝᠷᡝ ᡶᡳᠶᠠᠨ 720p ᡩᡠᠷᡠᠨ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ 150 ᡶᡳᠯᡝᠮᡝ ᡩᠠᠯᠪᠠᡩᡝ᠈ ᡨᡝᠷᡝᠴᡳ ᠠᠵᡳᡤᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᡝᠯᡝ ᠯᠠᠪᡩᡠ ᡶᡳᠯᡝᠮᡝ ᠪᡝ ᠣᠩᡤᠣᠮᠪᡳ᠉ |
| `resolution` |  | object {width, height} \| enum (string) | no | `auto` | `auto`, `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᠠᠨ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠃ `skip_control_preprocess` ᠵᠠᠯᡳ `control_video_url` ᡩᡝ 64px ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᠪᡳ᠃ `auto` ᠣᠩᡤᠣᠯᠣ ᠵᠠᠯᠠᠨ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠃ |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | ᠪᡠᠶᡝᠮᡝᠨᡳ ᡶᡳᠯᡝᠮᡝᠮᡝ ᠵᠠᠯᠠᠨ, ᡶᡳᠯᡝᠮᡝᠨ ᡳ ᠨᠠᡩᠠᠨ ᠰᡝᡴᡠᠨᡩ. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | ᡳᠨᡶᡝᡵᡝᠨᠰᡳ ᠠᡵᠠᡥᠠᡳ ᠵᠠᡵᡤᠠᠨ ᠪᡝ 30 ᠵᡝᠴᡝᠨ ᠪᠠᡩᠠ ᠪᡠᠶᡝᠮᡝ; ᠵᡠᠯᡝ 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | ᠮᡝᠯᡥᡝᠨᡳ ᡩᠠᠯᡤᠠᠨ ᠪᡝ ᡝᠨᡩᡠᡵᡳᠯᡝᠮᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠠᠪᠠᠮᡳ; ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ ᠵᠠᡵᡤᠠᠨ ᠪᡠᠶᡝᠮᡝᠨ ᠪᡝ ᡶᠠᠰᡥᠠ ᠠᡵᠠᠯᠠᠮᠪᡳ. |
| `generate_audio` |  | boolean | no | `true` |  | ᠪᡠᡩᠠᡵᠠᠨ MP4 ᡳ ᡤᡳᠰᡠᠨ ᡠᠯᡥᡳᠯᡝᠮᡝᠨ: ᠠᠮᠪᠠᠯᠠᡵᠠ ᡤᡳᠰᡠᠨ ᡠᡥᡝᠣᠯᡳ ᠵᠠᡳ ᠰᡠᠨᡤᠠ ᡶᡳᠯᡝ, ᠠᠮᠪᠠᠯᠠᡴᡳ ᡤᡳᠰᡠᠨ ᠵᠠᠪᡠᠮᠪᡳ. |
| `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` |  | ᠪᡠᠶᡝᠮᡝᠨ ᡩᡠᠯᡝᠮᡝ ᡠᠯᡥᡳᠯᡝᠮᡝ ᠠᠪᠠᡥᠠ ᠠᠰᡥᠠᠨ ᡥᡡᠯᠠᠨ. |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠰᠠᡳᠨ ᠪᡳᠰᡳᠮᡝ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ None ᡩᡝ ᠪᡳᠮᡝ ᠪᠠᠨᠵᡳᠨ ᡤᠣᠯᠣᠮᡝ᠉ |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | ᡥᡡᠯᠠᠨ ᠪᡝ ᡩᡝᠯᡝᠪᡠᡵᡝ ᠪᡝ ᡝᠪᡠᡵᡝ ᡝᠪᡠᡵᠠᡴᡡ ᠪᡝ ᡠᠵᡳᠮᠪᡳ. |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠠᠮᠠᠯᠠᠮᡝ ᠰᠠᠬᡳᠶᠠᠨ ᡳ ᠵᠠᠯᡳᠨ ᠪᡳᠰᡳᡵᡝ ᠵᠠᡴᡠᠨᠠᠮᡝ᠉ |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡠᠨᡤᠠᡳ ᠵᠠᠯᠠᠨ ᡳ ᠴᡳᠨᠠᡵᡤᡳ ᠵᠠᠯᠠᠨ. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡠᠨᡤᠠᡳ ᠪᡠᠶᡝᠨ ᡩᡠᠯᡝᠮᡝ. |
| `loras` |  | array of object {path, scale, transformer} | yes |  | ≤ 3 items | LTX-2.3 ᡳ ᠯᠣᠷᠠ ᡳᠯᡥᡳᠨᡳ ᡝᠮᡤᡳᠯᡝᠮᡝ, ᡶᡝᡵᡤᡝᠨ ᠨᠠᠳᠠᠯᠠᠨ 3 GB, ᡝᠮᡤᡳ 3 ᠪᡝ ᡠᠯᡥᡳᠯᡝᠮᠪᡳ. ᠮᡠᠰᡝ ᠵᡠᠯᡤᡳ registry ᡳ SSRF-safe ᠵᡠᠯᡤᡳᠯᡝᠮᡝ ᡶᡳᠯᡝ ᠪᡝ ᠠᠪᠠᡵᠠᡵᡳ ᡠᡥᡝᠣᠯᡳ. |
| `loras[].path` |  | string | yes |  | ≤ 2048 characters | 3 GB ᡩᠠᠯᡳ ᡩᡠᠯᡝᠮᡝ ᡠᠯᡥᡳᠯᡝᠮᡝ ᠣᠮᡳᠰᡳ ᠯᠣᠷᠠ .safetensors ᡶᡳᠯᡝᡳ HTTP(S) URL. SSRF-safe ᠵᡠᠯᡤᡳᠯᡝᠮᡝ ᠠᠪᠠᡵᠠᡵᡳ ᡠᡥᡝᠣᠯᡳ. |
| `loras[].scale` |  | number | no | `1` | 0 – 2 | ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᠯᠣᠷᠠ ᡳ ᡩᡠᠯᡝ 0.0–2.0 ᡳ ᡠᠯᡤᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠮᡝ ᡝᠮᡤᡳᠯᡝᠮᠪᡳ. |
| `loras[].transformer` |  | enum (string) | no | `both` | `high`, `low`, `both` | Transformer ᠰᡣᠣᠯᠣᠮᠪᡳ: 'both' ᠯᠠᠪᡩᡠ LTX-2.3 ᠪᡝ ᠮᡠᠰᡝ ᠰᠠᡳᠨ, ᠮᠣᡩᡝᠯ ᡳ ᡝᠮᡠ ᠵᠠᠩᡤᡳ ᠵᠠᠯᠠᠨ ᠵᠠᡳ. ᡝᡵᡝ flag ᠪᡝ ᡳᠯᡳᠪᡠᠮᡝ ᡝᠮᡠᠯᡝ ᡠᡵᡠᠯᠠᡥᠠ ᠵᠠᠯᠠᠨᠠᡳ Transformer ᡝᠮᡤᡳ ᠪᡳᠮᠪᡳ. |

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} | ᠮᠣᠳᡝᠯ ᠪᡠᠶᡝᡥᠠᠨ ᠰᡠᠨᡤᠠ. |
| `seed` | integer | ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡥᡡᠯᠠᠨ ᡶᡝᡵᡤᡝᠨ. |
| `prompt` | string | ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ, ᠪᡠᠶᡝᠮᡝᠨ ᡩᡠᠯᡝᠮᡝ ᡝᠮᡤᡳᠯᡝᠮᡝ ᠠᠪᠠᡥᠠ ᠪᡝ ᡴᡳᠶᠠᠯᠠᡵᠠ. |

## 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