# LTX Video-0.9.7 13B Distilled · Image to Video API

> Bilde-til-video med den eldre destillerte 0.9.7 13B-modellen, fra et bilde og en prompt

Animerer bildet på `image_url` etter en obligatorisk `prompt`. Velg 480p eller 720p og `aspect_ratio` auto, 9:16, 1:1 eller 16:9. `num_frames` går fra 9 til 1441 og `frame_rate` fra 1 til 60. Støtter `loras`, en valgfri detaljrunde og `reverse_video`.

- Model id: `ltx-video-13b-distilled/image-to-video`
- Made by: Lightricks
- Category: Image to Video
- Output: video
- Price per second of your output video: from $0.04 / second of output video (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltx-video-13b-distilled/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-video-13b-distilled/image-to-video`
- Docs page: https://doitong.com/no/developers/models/ltx-video-13b-distilled/image-to-video

## Pricing

Price: **from $0.04 / 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 $0.202 = 202 API credits (5.0417 s output video × $0.04).

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-video-13b-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 |  |  | Tekstinstruksjoner som veileder genereringen. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Negative tekstinstruksjoner for generering. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | LoRA-vekter brukt under genereringen. |
| `loras[].path` |  | string | yes |  |  | Plassering for LoRA-vektene, oppgitt som en URL eller bane. |
| `loras[].weight_name` |  | string \| null | no |  |  | Navn på LoRA-vekten for valg mellom flere vekter i et HuggingFace-repositorium; kreves bare for repositorier med flere vekter. Denne innstillingen har ingen effekt med mindre `path` identifiserer et HuggingFace-repositorium. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplikator som skalerer LoRA-vekten når den lastes inn. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Oppløsning for videoen i utdataene. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Videoens størrelsesforhold. |
| `seed` |  | integer \| null | no |  |  | Startverdi som styrer tilfeldigheten under generering. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Totalt antall bilder i videoen. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Antall inferenstrinn for første gjennomgang. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Antall inferenstrinn for andre gjennomgang. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Opprinnelig antall inferenstrinn som utelates under andre gjennomgang, slik at denne gjennomgangen fokuserer mer på fine detaljer enn på omfattende endringer. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Bildehastighet for videoen. |
| `expand_prompt` |  | boolean | no | `false` |  | Promptutvidelse gjennom en språkmodell. |
| `reverse_video` |  | boolean | no | `false` |  | Reversering av videoens avspillingsrekkefølge. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Bryter for sikkerhetskontroll der av-innstillingen bare respekteres for autoriserte kontoer. Alle forespørsler uten denne autoriseringen gjennomgår sikkerhetskontroller. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Valgfri ekstra forbedringsgjennomgang som forbedrer videodetaljer når den aktiveres. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Styrke for adaptiv instansnormalisering (AdaIN), som balanserer fargekonsistens ved høyere innstillinger mot større fargevariasjon ved lavere innstillinger. Den brukes på genererte segmenter unntatt det første og normaliserer fargefordelingen gjennom hele videoen for å motvirke en gradvis økning i metning eller kontrast. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Nivå for tonekartleggingskomprimering, fra ingen komprimering ved 0.0 til maksimal komprimering ved 1.0. Slik komprimering av videoens dynamikkområde forbedrer den visuelle kvaliteten. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Konstant rate-faktor (CRF) brukt for inndatakomprimering, som kan forbedre bevegelseskvaliteten ved å bringe det leverte mediet nærmere modellens treningsdata. |
| `image_url` | `image` | string (image URL) | yes |  |  | URL til kildebildet som brukes til å generere en video. |

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/ltx-video-13b-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/ltx-video-13b-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/ltx-video-13b-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": "ltx-video-13b-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": "ltx-video-13b-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": 202,
    "usd": "0.202",
    "charged": 202,
    "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} | Videofil produsert av genereringen. |
| `prompt` | string | Prompten som ble brukt til å generere utdataene. |
| `seed` | integer | Seed-verdi brukt under genereringen. |

## Related models

- [LTX Video-0.9.7 13B Distilled](https://doitong.com/developers/models/ltx-video-13b-distilled.md) (`ltx-video-13b-distilled`): from $0.04 / second of output video
- [LTX Video-0.9.7 13B Distilled · Extend](https://doitong.com/developers/models/ltx-video-13b-distilled/extend.md) (`ltx-video-13b-distilled/extend`): $0.04 / video
- [LTX Video-0.9.7 13B Distilled · Multiconditioning](https://doitong.com/developers/models/ltx-video-13b-distilled/multiconditioning.md) (`ltx-video-13b-distilled/multiconditioning`): from $0.04 / 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/ltx-video-13b-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=ltx-video-13b-distilled/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltx-video-13b-distilled/image-to-video