# LTX-2.3 22B · Image to Video API

> ᡝᡵᡤᡝᠯᡝᠮᡝ ᠪᡠᡵᡤᡠᠰᡠᠨ ᡩᡝᡵᡝᠨ ᡩᡝᡵᡤᡳ ᡩᡝ ᡠᡵᡠᠨᡠᠮᡝ ᠠᠴᠠᠮᡝ ᠯᡝᡮᡝᠨ ᠵᡠᡶᠠᠨ ᠵᡝᠨᡝᠮᡝ ᡠᠨᡩᡝᠰᡳ ᠰᡝᠮᡝ ᡳᠨᡠ ᠠᠴᠠᠮᡝ ᠠᠮᠪᠠ ᠰᡠᠯᡤᡝ ᡠᠯᡥᡝ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ

ᡠᠨᡩᡝ `prompt` ᠵᡝᠨᡝᠮᡝ `image_url` ᡠᠯᡥᡝᠰᡳ ᠪᡝᠶᡝᠨᡳ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ ᠠᠮᠠᠯᡤᠠᠯᠠᠮᡝ. ᠰᠣᠨᠵᠣᠮᡝ `end_image_url` ᡳᠨᡠ ᠵᡠᡶᠠᠨ ᡩᡝᠵᡳ ᡴᡝᠰᡳᠨ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ. `num_frames` 9 ᠴᡳ 481 ᡩᡝᡵᡝ, `fps` 1 ᠴᡳ 60 ᡩᡝᡵᡝ, ᡝᠮᡠᠯᡝ `video_size` auto ᠪᡝ ᠵᡠᠯᡤᡝᠨ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ. `generate_audio`, `camera_lora` ᡩᡝᠨ ᡩᡝ ᡥᠠᠴᡳᠨ ᡠᠯᡥᡝ ᡥᡝᠨᡝᠮᡝ, mp4, webm, mov ᠠᡳᠯᡳ GIF ᡳ ᡠᠯᡥᡝᠰᡳ ᠪᡝ ᠵᠠᠯᠠᠮᡝ.

- Model id: `ltx-2.3-22b/image-to-video`
- Made by: Lightricks
- Category: Image to Video
- Output: video
- Price per megapixel of your output video: $0.00161 / megapixel of output video (cheapest run $0.002 (2 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltx-2.3-22b/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-22b/image-to-video`
- Docs page: https://doitong.com/mnc/developers/models/ltx-2.3-22b/image-to-video

## Pricing

Price: **$0.00161 / 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 $0.204 = 204 API credits (127 MP output video × $0.001605).

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-2.3-22b/image-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 |  |  | ᡥᡡᠯᠠᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᡳᠨ ᡩᡝ ᠵᠠᠯᡳᠨ. |
| `image_url` | `image` | string (image URL) | yes |  |  | ᠰᠦᠨᡤᠠ ᠪᡠᠶᡝᠮᡝᠨᡩᡝ ᠠᠰᡠᠯᠠᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᠵᠠᠮᡠᠨ URL. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | ᠰᡠᠨᡤᠠ ᡳ ᡳᠯᡥᠠᠨ ᡶᡳᠯᡝᠮᡝ ᠵᠠᠯᡳᠨᠠ ᡤᠠᠳᠠᠨ URL. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | ᠪᡠᠶᡝᠮᡝᠩᡤᡝ ᠰᡠᠨᡤᠠ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ。 |
| `video_size` |  | object {width, height} \| enum (string) | no | `auto` | `auto`, `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | ᠠᡵᠠᡥᠠ ᠰᡠᠨᡤᠠ ᡳ ᡤᠣᠯᠮᡳᠨ ᠣᠨᠴᠣ᠈ |
| `generate_audio` |  | boolean | no | `true` |  | ᠰᡠᠨᡤᠠᡩᡝ ᠪᡠᠶᡝᡥᠠᠨ ᡤᡳᠰᡠᠨ ᠪᡳ ᠠᡴᡳ. |
| `use_multiscale` |  | boolean | no | `true` |  | ᠰᡠᠨᡤᠠ ᠪᠠᠶᠠᠨ ᠵᠠᠯᡳᠨ ᡳ ᠰᠣᠩᡤᠣᠮᡝ; True ᠣᠮᠪᡳᠮᡝ ᠵᠠᠯᡳᠨ ᡳ ᠮᡝᠨᡝ ᠮᡝᠨᡝ ᠣᠮᠪᡳᠮᡝ ᡳᠯᡥᠠᠮᡝ ᠵᠠᠯᡳᠨ ᠵᡝᠯᡳᠨ ᠪᡠᠶᡝᠮᡝᠨᡩᡝ ᠠᠰᡠᠯᠠᠮᡝ. |
| `fps` |  | number | no | `24` | 1 – 60 | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ, ᡶᡳᠯᡝᠮᡝ ᠰᡝᡴᡠᠨᡩ ᡩᡝ ᠰᠣᠯᡤᠣᠮᠪᡳ᠉ |
| `num_inference_steps` |  | integer | no | `40` | 8 – 50 | ᠮᡠᠰᡝᠯᡝᠨᡳ ᠵᠠᠯᠠᠨ ᠶᠠᠰᠠᠨ᠉ |
| `video_cfg_scale` |  | number | no | `3` | 1 – 20 | ᠰᡠᠨᡤᠠ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠰᡳᡤᠠᠨ; ᠶᠠᠯᡳ ᠣᠮᠪᡳᠮᡝ ᡤᠠᠮᠠᠯᠠ ᠰᡳᠨᡩᠠᠨ ᠠᠮᠠᠯᠠ ᠵᠠᠯᡳᠨ. classifier-free guidance (CFG) ᠠᠰᡠᠯᠠᠮᡝ. |
| `video_stg_scale` |  | number | no | `0` | 0 – 20 | ᠰᡠᠨᡤᠠ ᡳ ᠮᡝᠨᡝ ᠠᠮᠠᠯᠠ ᠵᠠᠯᡳᠨ ᡩᡝ Spatiotemporal Guidance (STG) ᠵᠠᠰᡳᡤᠠᠨ; ᠶᠠᠯᡳ ᠣᠮᠪᡳᠮᡝ ᠵᠠᠯᡳᠨ. |
| `video_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | ᠰᡠᠨᡤᠠ ᠰᡳᠯᡝᠮᡝ ᠵᠠᠯᡳᠨ, classifier-free ᠠᠮᠠᠯᠠ spatiotemporal guidance ᡳ ᠵᠠᠰᡳᡤᠠᠨ ᡳ ᠵᠠᠯᡳᠨ ᠮᠠᠨᡳ. |
| `video_modality_scale` |  | number | no | `3` | 0 – 10 | ᠰᡠᠨᡤᠠ ᡳ ᠠᠮᠠᠯᠠ ᡤᡳᠰᡠᠨ ᡳ ᠠᠮᠠᠯᠠᠨ ᠪᡝ ratio ᠣᠮᠪᡳᠮᡝ ᠵᠠᠰᡳᡤᠠᠨ. |
| `audio_cfg_scale` |  | number | no | `7` | 1 – 20 | ᡤᡳᠰᡠᠨ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠰᡳᡤᠠᠨ; ᠶᠠᠯᡳ ᠣᠮᠪᡳᠮᡝ ᠵᠠᠯᡳᠨ ᡩᡝ ᠰᡳᠨᡩᠠᠨ. classifier-free guidance (CFG) ᠠᠰᡠᠯᠠᠮᡝ. |
| `audio_stg_scale` |  | number | no | `0` | 0 – 20 | ᡤᡳᠰᡠᠨ ᡳ ᠮᡝᠨᡝ ᠠᠮᠠᠯᠠ ᠵᠠᠯᡳᠨ ᡩᡝ Spatiotemporal Guidance (STG) ᠵᠠᠰᡳᡤᠠᠨ; ᠶᠠᠯᡳ ᠣᠮᠪᡳᠮᡝ ᠵᠠᠯᡳᠨ. |
| `audio_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | ᡤᡳᠰᡠᠨ ᠰᡳᠯᡝᠮᡝ ᠵᠠᠯᡳᠨ, classifier-free ᠠᠮᠠᠯᠠ spatiotemporal guidance ᡳ ᠵᠠᠰᡳᡤᠠᠨ ᡳ ᠵᠠᠯᡳᠨ ᠮᠠᠨᡳ. |
| `audio_modality_scale` |  | number | no | `3` | 0 – 10 | ᡤᡳᠰᡠᠨ ᡳ ᠠᠮᠠᠯᠠ ᠰᡠᠨᡤᠠ ᡳ ᠠᠮᠠᠯᠠᠨ ᠪᡝ ratio ᠣᠮᠪᡳᠮᡝ ᠵᠠᠰᡳᡤᠠᠨ. |
| `gradient_estimation_gamma` |  | number | no | `2` | 0 – 10 | ᠰᡳᠨᡩᠠᠨ ᠵᠠᠯᡳᠨ ᡳ gradient-estimation; 0 ᠣᠮᠪᡳᠮᡝ ᠪᡳᠰᡳᡵᡝ, ᠠᠮᠠᠯᠠᠨ ᠪᡝ gamma ᠰᠠᠮᠪᡳᠮᡝ. |
| `use_restart_sampling` |  | boolean | no | `false` |  | ᠵᠠᠯᡳᠨ ᡳᠯᡥᠠᠮᡝ ᠰᠠᠮᠪᡳᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠰᡳᡤᠠᠨ; ᠣᠮᠪᡳᠮᡝ ᠵᠠᠯᡳᠨ ᡝᠮᡠ ᠮᡠᠯᡥᠠᠨ ᠪᡝ ᠵᠠᠯᡳᠨ ᡝᠮᡠ ᠵᠠᠯᡳᠨ ᡩᡝ ᠵᠠᠯᡳᠨᠠ. |
| `scheduler` |  | enum (string) | no | `ltx2` | `ltx2`, `linear_quadratic`, `beta` | Scheduler ᠰᠣᠩᡤᠣᠮᡝ. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high`, `full` | ᠠᠵᡳᠯᠠᠮᠪᡳ ᡳ ᠵᠠᠪᡠᡥᠠᠨ ᡳ ᠲᠣᡤᠣᠨ᠉ |
| `camera_lora` |  | enum (string) | no | `none` | `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `none` | ᠪᡠᠶᡝᠮᡝᠨᡩᡝ ᠵᠠᠯᡳᠨ ᡳ ᠮᠠᠰᡳ ᠰᡳᠯᡠᠮᡝ ᠠᠮᠠᠯᠠ Camera LoRA ᠰᠣᠩᡤᠣᠮᡝ. |
| `camera_lora_scale` |  | number | no | `1` | 0 – 1 | ᠪᡠᠶᡝᠮᡝᠨᡩᡝ ᠵᠠᠯᡳᠨ ᡳ ᠮᠠᠰᡳ ᠰᡳᠯᡠᠮᡝ ᠠᠮᠠᠯᠠ Camera LoRA ᡳ ᠵᠠᠯᡳᠨ. |
| `negative_prompt` |  | string | no | `news broadcast, 3d animation, computer graphics, pc game, console game, video game, cartoon, childish, watermark, logo, text, on screen text, subtitles, titles, signature, slowmo, static` |  | ᠰᡠᠨᡤᠠ ᠪᠠᠶᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡩᡝ ᠠᠰᡠᠯᠠᠮᡝ ᠠᠯᡳᠨ ᡥᡡᠯᠠᠨ. |
| `seed` |  | integer \| null | no |  |  | ᠰᡝᠨᡩᡝ ᡳ ᡝᠮᡠ ᠵᡠᠯᡝ ᠪᡠᠮᡝᠩᡤᡝ ᠰᡝᠨᡩᡝ。 |
| `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_output_type` |  | enum (string) | no | `X264 (.mp4)` | `X264 (.mp4)`, `VP9 (.webm)`, `PRORES4444 (.mov)`, `GIF (.gif)` | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡠᠨᡤᠠᡳ ᡶᡳᠯᡝᠮᡝ. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡠᠨᡤᠠᡳ ᠵᠠᠯᠠᠨ. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡠᠨᡤᠠᡳ ᠪᡠᠶᡝᠨ ᡩᡠᠯᡝᠮᡝ. |
| `distill_lora_first_pass_scale` |  | number | no | `0.2` | 0 – 1 | ᡩᡝᡵᡤᡳ ᠵᠠᠯᡳᠨ ᡳ distill LoRA ᠵᠠᠯᡳᠨ; 0 ᠪᡝ ᠪᡳᠰᡳᡵᡝ ᠣᠮᠪᡳᠮᡝ. |
| `distill_lora_second_pass_scale` |  | number | no | `0.5` | 0 – 1 | ᡝᠮᡠᠨ ᡳ ᠵᠠᠯᡳᠨ ᡩᡝᠮᡝ ᡳᠯᡥᠠᠮᡝ distill LoRA ᠵᠠᠯᡳᠨ. |
| `interpolation_direction` |  | enum (string) | no | `forward` | `forward`, `backward` | ᡤᠠᠳᠠᠨ ᡳ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᠰᡳᠯᠠᠮᡝ. 'Forward' ᡩᡝ ᠮᡝᠨᡝ ᡳᠯᡥᠠᠨ ᡩᡝ ᠶᠠᠪᡠᠮᡝ; 'Backward' ᡩᡝ ᠵᡠᠩᡤᠠᠨ ᠪᡝ ᠰᡳᠯᡝᠮᡝ. |
| `image_strength` |  | number | no | `1` | 0 – 1 | ᡤᠠᠳᠠᠨ ᡳ ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠠᠰᡠᠯᠠᠮᡝ ᠵᠠᠯᡳᠨ. |
| `end_image_strength` |  | number | no | `1` | 0 – 1 | ᡳᠯᡥᠠᠨ ᡤᠠᠳᠠᠨ ᡳ ᠰᡠᠨᡤᠠ ᠪᠠᠶᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡩᡝ ᠠᠰᡠᠯᠠᠮᡝ ᠵᠠᠯᡳᠨᠠ. |

File parameters (`image`, `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",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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-2.3-22b/image-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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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-2.3-22b/image-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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ltx-2.3-22b/image-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-2.3-22b/image-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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-2.3-22b/image-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": 204,
    "usd": "0.204",
    "charged": 204,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    },
    "seed": 42,
    "prompt": "Continue the scene naturally, maintaining the same style and motion."
  },
  "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, width, height, fps, duration, num_frames} | ᠮᠣᠳᡝᠯ ᠪᡠᠶᡝᡥᠠᠨ ᠰᡠᠨᡤᠠ. |
| `seed` | integer | ᠰᡠᠯᡝᠮᡝ ᡤᡝᠮᡠ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᡳᠨᠠ ᠵᡠᠯᡝ ᠪᡝ ᠵᠠᠯᡳᠨ. |
| `prompt` | string | ᡥᡡᠯᠠᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᡳᠨ ᡩᡝ ᠵᠠᠯᡳᠨ. |

## Related models

- [LTX-2.3 22B · Text to Video](https://doitong.com/developers/models/ltx-2.3-22b/text-to-video.md) (`ltx-2.3-22b/text-to-video`): $0.00161 / megapixel of output video
- [LTX-2.3 22B · Text to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/text-to-video/lora.md) (`ltx-2.3-22b/text-to-video/lora`): $0.00181 / megapixel of output video
- [LTX-2.3 22B · Image to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/image-to-video/lora.md) (`ltx-2.3-22b/image-to-video/lora`): $0.00181 / megapixel of output video
- [LTX 2.3 22B](https://doitong.com/developers/models/ltx-2.3-22b/reference-video-to-video/lora.md) (`ltx-2.3-22b/reference-video-to-video/lora`): $0.00181 / megapixel of output video
- [LTX-2.3 22B · Extend Video](https://doitong.com/developers/models/ltx-2.3-22b/extend-video.md) (`ltx-2.3-22b/extend-video`): $0.00161 / megapixel of output video
- [LTX-2.3 22B · Extend Video · LoRA](https://doitong.com/developers/models/ltx-2.3-22b/extend-video/lora.md) (`ltx-2.3-22b/extend-video/lora`): $0.00181 / megapixel of output video
- [LTX-2.3 22B · Reference Video to Video](https://doitong.com/developers/models/ltx-2.3-22b/reference-video-to-video.md) (`ltx-2.3-22b/reference-video-to-video`): $0.00161 / megapixel of output video
- [LTX-2.3 22B · Video to Video](https://doitong.com/developers/models/ltx-2.3-22b/video-to-video.md) (`ltx-2.3-22b/video-to-video`): $0.00161 / megapixel of output video

## Links

- HTML page: https://doitong.com/developers/models/ltx-2.3-22b/image-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-2.3-22b/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltx-2.3-22b/image-to-video