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

> Imagem-para-vídeo com o modelo 13B destilado 0.9.8, começando por uma imagem e um prompt fornecidos

Anima a imagem em `image_url` de acordo com um `prompt` obrigatório. Escolha 480p ou 720p e `aspect_ratio` auto, 9:16, 1:1 ou 16:9. A duração é definida por `num_frames` (9 a 1441) e `frame_rate` (1 a 60). Estão disponíveis `loras` personalizados, uma passagem de detalhe e controlos de mapeamento de tons.

- 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/pt-PT/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 |  |  | Instruções de texto que orientam a geração. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | Instruções de texto negativas para a geração. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Pesos LoRA aplicados durante a geração. |
| `loras[].path` |  | string | yes |  |  | Localização dos pesos LoRA, fornecida como URL ou caminho. |
| `loras[].weight_name` |  | string \| null | no |  |  | Nome do peso da LoRA para selecionar entre vários pesos num repositório HuggingFace; só é necessário para repositórios que contenham vários pesos. Esta definição não tem efeito, exceto se `path` identificar um repositório HuggingFace. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplicador que escala o peso LoRA ao ser carregado. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Resolução do vídeo de saída. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | Proporção do vídeo. |
| `seed` |  | integer \| null | no |  |  | Seed que controla a aleatoriedade durante a geração. |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | Contagem total de frames do vídeo. |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Contagem de passos de inferência da primeira passagem. |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | Contagem de passos de inferência da segunda passagem. |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | Contagem inicial de passos de inferência a omitir durante a segunda passagem, orientando-a para o trabalho de detalhe fino em vez de alterações em grande escala. |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | Taxa de frames do vídeo. |
| `expand_prompt` |  | boolean | no | `false` |  | Expansão do prompt através de um modelo de linguagem. |
| `reverse_video` |  | boolean | no | `false` |  | Inversão da ordem de reprodução do vídeo. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Interruptor de verificação de segurança cuja desativação só é respeitada para contas autorizadas. Todos os pedidos sem essa autorização são submetidos a verificações de segurança. |
| `enable_detail_pass` |  | boolean | no | `false` |  | Segunda passagem opcional de aperfeiçoamento que melhora os detalhes do vídeo quando ativada. |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Intensidade da normalização adaptativa de instâncias (AdaIN), equilibrando a consistência da cor em valores mais altos com maior variação de cor em valores mais baixos. Opera nos segmentos gerados, exceto o primeiro, normalizando as distribuições de cor ao longo do vídeo para ajudar a contrariar um aumento progressivo da saturação ou do contraste. |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Nível de compressão do mapeamento de tons, desde nenhuma compressão em 0.0 até à compressão máxima em 1.0. Comprimir assim a gama dinâmica do vídeo melhora a qualidade visual. |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | Fator de taxa constante (CRF) usado para a compressão da entrada, que pode melhorar a qualidade do movimento ao aproximar o conteúdo multimédia fornecido dos dados de treino do modelo. |
| `image_url` | `image` | string (image URL) | yes |  |  | URL da imagem de origem usada para gerar um vídeo. |

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} | Ficheiro de vídeo produzido pela geração. |
| `prompt` | string | Prompt utilizado para gerar a saída. |
| `seed` | integer | Valor da seed aplicado durante a geração. |

## 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