# LTX-2.3 22B · Image to Video API

> Animē nekustīgu attēlu video ar audio, neobligātu beigu kadru un precīziem paraugu ģenerēšanas iestatījumiem

Nepieciešams `prompt` un `image_url`, kas kalpo kā sākuma kadrs. Neobligāts `end_image_url` nosaka beigu kadru. `num_frames` ir no 9 līdz 481, `fps` — no 1 līdz 60, bet `video_size` pēc noklusējuma ir auto. Pieejama `generate_audio`, kameras `camera_lora` kustības un izvade mp4, webm, mov vai GIF formātā.

- 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/lv/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 |  |  | Uzvedne, kas vada ģenerēšanu. |
| `image_url` | `image` | string (image URL) | yes |  |  | Avota attēla URL, kas tiek izmantots video ģenerēšanai. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | Attēla URL, kas nosaka video beigu kadru. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Ģenerētās izvades kadru skaits. |
| `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` | Ģenerētā video izmēri. |
| `generate_audio` |  | boolean | no | `true` |  | Nosaka, vai video ietver ģenerētu audio. |
| `use_multiscale` |  | boolean | no | `true` |  | Vairākmērogu ģenerēšanas pārslēgs labākai saskaņotībai un detalizācijai. Ja iestatīts True, sākotnējais mazākais video vada otro ģenerēšanu, kuras izmērs atbilst pieprasītajiem izmēriem vai tos pārsniedz. |
| `fps` |  | number | no | `24` | 1 – 60 | Izvades video kadru ātrums, mērīts kadros sekundē. |
| `num_inference_steps` |  | integer | no | `40` | 8 – 50 | Veikto secināšanas soļu skaits. |
| `video_cfg_scale` |  | number | no | `3` | 1 – 20 | Video vadības iestatījums: palieliniet to, lai ģenerētajā saturā panāktu lielāku saskaņotību un fokusu. Izmanto classifier-free guidance (CFG). |
| `video_stg_scale` |  | number | no | `0` | 0 – 20 | Video saskaņotības un fokusa kontrole, izmantojot Spatiotemporal Guidance (STG) mērogu; palieliniet iestatījumu, lai pastiprinātu abas īpašības. |
| `video_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | Video pārveidošanas iestatījums, kas proporcijas veidā līdzsvaro classifier-free un telpiskās-laika vadību. |
| `video_modality_scale` |  | number | no | `3` | 0 – 10 | Video modalitātes iestatījums, kas proporcijas veidā līdzsvaro video un audio ieguldījumu. |
| `audio_cfg_scale` |  | number | no | `7` | 1 – 20 | Audio vadības iestatījums: palieliniet to, lai ģenerētajā saturā panāktu lielāku saskaņotību un fokusu. Izmanto classifier-free guidance (CFG). |
| `audio_stg_scale` |  | number | no | `0` | 0 – 20 | Audio saskaņotības un fokusa kontrole, izmantojot Spatiotemporal Guidance (STG) mērogu; palieliniet iestatījumu, lai pastiprinātu abas īpašības. |
| `audio_rescaling_scale` |  | number | no | `0.7` | 0 – 1 | Audio pārveidošanas iestatījums, kas proporcijas veidā līdzsvaro classifier-free un telpiskās-laika vadību. |
| `audio_modality_scale` |  | number | no | `3` | 0 – 10 | Audio modalitātes iestatījums, kas proporcijas veidā līdzsvaro video un audio ieguldījumu. |
| `gradient_estimation_gamma` |  | number | no | `2` | 0 – 10 | Trokšņa noņemšanas gradienta novērtēšanas iestatījums: 0 izslēdz novērtēšanu; citādi vērtība norāda gamma. |
| `use_restart_sampling` |  | boolean | no | `false` |  | Atkārtotas paraugu ņemšanas pārslēgs potenciāli labākai video kvalitātei: iespējošana katrā trokšņa noņemšanas solī ievieš nelielu troksni. |
| `scheduler` |  | enum (string) | no | `ltx2` | `ltx2`, `linear_quadratic`, `beta` | Plānotāja atlase. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high`, `full` | Apstrādei piemērotais paātrinājuma līmenis. |
| `camera_lora` |  | enum (string) | no | `none` | `dolly_in`, `dolly_out`, `dolly_left`, `dolly_right`, `jib_up`, `jib_down`, `static`, `none` | Kameras LoRA atlase precīzākai kustības vadībai ģenerētajā video nekā ar kameras kustības uzvednēm vien. |
| `camera_lora_scale` |  | number | no | `1` | 0 – 1 | Kameras LoRA stiprums precīzākai kustības vadībai ģenerētajā video nekā ar kameras kustības uzvednēm vien. |
| `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` |  | Negatīvā uzvedne, kas tiek izmantota video ģenerēšanas laikā. |
| `seed` |  | integer \| null | no |  |  | Sākumvērtība, kas inicializē nejaušo skaitļu ģenerēšanu. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Kontrolē, vai ir iespējota uzvednes paplašināšana. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Nosaka, vai drošības pārbaude ir iespējota. |
| `video_output_type` |  | enum (string) | no | `X264 (.mp4)` | `X264 (.mp4)`, `VP9 (.webm)`, `PRORES4444 (.mov)`, `GIF (.gif)` | Iegūtā video izvades tips. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Iegūtā video kvalitātes līmenis. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Iegūtā video ierakstīšanas režīms. |
| `distill_lora_first_pass_scale` |  | number | no | `0.2` | 0 – 1 | Kontrolē pirmās caurlaides distill LoRA mērogošanu; izmantojiet 0, lai to izslēgtu. |
| `distill_lora_second_pass_scale` |  | number | no | `0.5` | 0 – 1 | Kontrolē distill LoRA mērogošanu katrai caurlaidei pēc pirmās. |
| `interpolation_direction` |  | enum (string) | no | `forward` | `forward`, `backward` | Attēlu secības interpolācijas virziens. 'Forward' pāriet no sākuma attēla uz beigu attēlu; 'Backward' apvērš šo secību. |
| `image_strength` |  | number | no | `1` | 0 – 1 | Attēla ietekmes stiprums uz video ģenerēšanu. |
| `end_image_strength` |  | number | no | `1` | 0 – 1 | Kontrolē, cik lielā mērā beigu attēls ietekmē ģenerēto video. |

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} | Modeļa izveidotais video. |
| `seed` | integer | Sēklas vērtība, ko izmanto nejaušo skaitļu ģenerēšanas inicializēšanai. |
| `prompt` | string | Uzvedne, kas vada ģenerēšanu. |

## 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