# LTX-Video 13B 0.9.8 Distilled · Image to Video API

> Bild-zu-Video mit dem distillierten 0.9.8-13B-Modell, ausgehend von einem bereitgestellten Bild und Prompt

Animiert das Bild in `image_url` gemäß einem erforderlichen `prompt`. Wählen Sie 480p oder 720p sowie `aspect_ratio` auto, 9:16, 1:1 oder 16:9. Die Länge wird durch `num_frames` (9 bis 1441) und `frame_rate` (1 bis 60) festgelegt. Benutzerdefinierte `loras`, ein Detaildurchlauf und Tonemapping-Steuerungen sind verfügbar.

- Model id: `ltxv-13b-098-distilled/image-to-video`
- Made by: Lightricks
- Category: Image to Video
- Output: video
- Price per second of your output video: from $0.02 / second of output video (cheapest run $0.02 (20 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltxv-13b-098-distilled/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/ltxv-13b-098-distilled/image-to-video`
- Docs page: https://doitong.com/de/developers/models/ltxv-13b-098-distilled/image-to-video

## Pricing

Price: **from $0.02 / second of output video** (the lowest tier; the quote prices your exact input). Price per second 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 $0.101 = 101 API credits (5.0417 s output video × $0.02).

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/ltxv-13b-098-distilled/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 |  |  | Textanweisungen zur Steuerung der Generierung. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Negative Textanweisungen für die Generierung. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Während der Generierung angewendete LoRA-Gewichte. |
| `loras[].path` |  | string | yes |  |  | Speicherort der LoRA-Gewichte, angegeben als URL oder Pfad. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA-Gewichtsname zur Auswahl aus mehreren Gewichten in einem HuggingFace-Repository; nur Repositorys mit mehreren Gewichten benötigen ihn. Diese Einstellung hat keine Wirkung, sofern `path` kein HuggingFace-Repository bezeichnet. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplikator zur Skalierung des LoRA-Gewichts beim Laden. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Auflösung des Ausgabevideos. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Seitenverhältnis des Videos. |
| `seed` |  | integer \| null | no |  |  | Startwert zur Steuerung der Zufälligkeit während der Generierung. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Gesamtzahl der Frames des Videos. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Anzahl der Inferenzschritte im ersten Durchlauf. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Anzahl der Inferenzschritte im zweiten Durchlauf. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Anfängliche Anzahl von Inferenzschritten, die im zweiten Durchlauf übersprungen werden; dadurch konzentriert sich dieser stärker auf feine Details statt auf großflächige Änderungen. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Frame-Rate des Videos. |
| `expand_prompt` |  | boolean | no | `false` |  | Prompt-Erweiterung durch ein Sprachmodell. |
| `reverse_video` |  | boolean | no | `false` |  | Umkehrung der Wiedergabereihenfolge des Videos. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Schalter für die Sicherheitsprüfung, dessen Deaktivierung nur für autorisierte Konten berücksichtigt wird. Alle Anfragen ohne diese Autorisierung werden Sicherheitsprüfungen unterzogen. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Optionaler zweiter Verfeinerungsdurchlauf, der bei Aktivierung Videodetails verbessert. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Stärke der adaptiven Instanznormalisierung (AdaIN), die bei höheren Werten Farbkonsistenz und bei niedrigeren Werten stärkere Farbvariation ermöglicht. Sie wird auf generierte Chunks außer dem ersten angewendet und normalisiert die Farbverteilungen im gesamten Video, um einem fortschreitenden Anstieg von Sättigung oder Kontrast entgegenzuwirken. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Kompressionsstufe des Tonemappings, von keiner Kompression bei 0.0 bis zur maximalen Kompression bei 1.0. Diese Kompression des Dynamikbereichs verbessert die visuelle Qualität des Videos. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Für die Eingabekompression verwendeter Constant Rate Factor (CRF), der die Bewegungsqualität verbessern kann, indem er das bereitgestellte Medium näher an die Trainingsdaten des Modells bringt. |
| `image_url` | `image` | string (image URL) | yes |  |  | URL des Quellbilds zur Generierung eines Videos. |

File parameters (`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/ltxv-13b-098-distilled/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/ltxv-13b-098-distilled/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/ltxv-13b-098-distilled/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": "ltxv-13b-098-distilled/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": "ltxv-13b-098-distilled/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": 101,
    "usd": "0.101",
    "charged": 101,
    "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
    },
    "prompt": "The astronaut gets up and walks away",
    "seed": 42
  },
  "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} | Durch die Generierung erzeugte Videodatei. |
| `prompt` | string | Zur Generierung der Ausgabe verwendeter Prompt. |
| `seed` | integer | Während der Generierung angewendeter Seed-Wert. |

## Related models

- [LTX-Video 13B 0.9.8 Distilled](https://doitong.com/developers/models/ltxv-13b-098-distilled.md) (`ltxv-13b-098-distilled`): from $0.02 / second of output video
- [LTX-Video 13B 0.9.8 Distilled · Extend](https://doitong.com/developers/models/ltxv-13b-098-distilled/extend.md) (`ltxv-13b-098-distilled/extend`): from $0.02 / second of output video
- [LTX-Video 13B 0.9.8 Distilled · Multiconditioning](https://doitong.com/developers/models/ltxv-13b-098-distilled/multiconditioning.md) (`ltxv-13b-098-distilled/multiconditioning`): from $0.02 / second of output video
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [MiniMax H3 Image to Video](https://doitong.com/developers/models/minimax/h3/image-to-video.md) (`minimax/h3/image-to-video`): from $0.05 / second

## Links

- HTML page: https://doitong.com/developers/models/ltxv-13b-098-distilled/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=ltxv-13b-098-distilled/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltxv-13b-098-distilled/image-to-video