# Wan · v2.2 5b · Text to Video · Distill API

> Variante destilada 5B de texto para vídeo, com orientação padrão baixa (1) e sem entrada de prompt negativo

Text-to-video usando o modelo 5B destilado. Recebe um `prompt` e oferece os mesmos controles da versão 5B padrão: `num_frames` de 17 a 161, 580p ou 720p, três proporções e interpolação opcional com film ou rife. O `guidance_scale` padrão é 1 em vez de 3.5, e não há campo `negative_prompt`.

- Model id: `wan/v2.2-5b/text-to-video/distill`
- Made by: Alibaba
- Category: Text to Video
- Output: video
- Price: $0.08 / video (cheapest run $0.08 (80 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-5b/text-to-video/distill`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-5b/text-to-video/distill`
- Docs page: https://doitong.com/pt-BR/developers/models/wan/v2.2-5b/text-to-video/distill

## Pricing

Price: **$0.08 / video**. Billed once per generated video.

The full example input below costs $0.08 = 80 API credits (1 video × 80 API credits).

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/wan/v2.2-5b/text-to-video/distill` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Instruções de texto que orientam a geração de vídeo. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Quantidade de quadros para a geração, com intervalo inclusivo de 17–161. |
| `frames_per_second` |  | integer \| null | no | `24` | 4 – 60 | Taxa de quadros do vídeo gerado, aceitando valores de 4 a 60; definir `adjust_fps_for_interpolation` como false preserva essa taxa inalterada. Com a interpolação habilitada e `adjust_fps_for_interpolation` como true (seu padrão), multiplique essa taxa por um mais a quantidade de quadros interpolados para obter o FPS final. Por exemplo, 16 FPS com 1 quadro interpolado torna-se 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Seed que torna a geração reproduzível. Defini-lo como None seleciona uma seed aleatoriamente. |
| `resolution` |  | enum (string) | no | `720p` | `580p`, `720p` | Resolução do vídeo de saída, 580p ou 720p. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Proporção do vídeo de saída, 16:9 ou 9:16. |
| `num_inference_steps` |  | integer | no | `40` | 2 – 50 | Quantidade de etapas de amostragem, trocando um tempo de processamento maior por melhor qualidade à medida que a quantidade aumenta. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Verificação de segurança da entrada antes do processamento, que somente contas autorizadas podem desativar. Requisições sem autorização são sempre verificadas; caso contrário, true habilita a verificação. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Controla a verificação de segurança do vídeo gerado; definir como true habilita uma verificação após a geração. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Permite que um modelo de linguagem grande enriqueça o prompt com detalhes. Ativar essa expansão não altera o significado do prompt. |
| `guidance_scale` |  | number | no | `1` | 1 – 10 | Intensidade da orientação sem classificador, trocando uma possível perda de qualidade por uma correspondência mais próxima ao prompt à medida que a escala aumenta. |
| `shift` |  | number | no | `5` | 1 – 10 | Configuração de deslocamento do vídeo, com intervalo permitido de 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Configuração de interpolação de quadros: escolha None para ignorar a interpolação ou especifique o modelo que a executará. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 4 | Insira de 0 a 4 quadros interpolados em cada intervalo entre dois quadros gerados. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Alternância de ajuste da taxa de quadros: false preserva o FPS fornecido, enquanto true o multiplica por um mais a quantidade de quadros interpolados. Assim, 16 FPS torna-se 32 FPS quando 1 quadro é interpolado e o ajuste está habilitado. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Configuração da qualidade do vídeo de saída, que troca arquivos maiores por visuais aprimorados à medida que o valor aumenta. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Modo de gravação do vídeo, com balanced oferecendo um equilíbrio entre velocidade e qualidade. Escolha small para os menores arquivos e a gravação mais lenta; a gravação mais rápida retorna resultados antes, mas cria arquivos maiores. |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/wan/v2.2-5b/text-to-video/distill?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"
  }'

# 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/wan/v2.2-5b/text-to-video/distill?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"
  }),
});
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",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan/v2.2-5b/text-to-video/distill", 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": "wan/v2.2-5b/text-to-video/distill",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "wan/v2.2-5b/text-to-video/distill",
  "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": 80,
    "usd": "0.08",
    "charged": 80,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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": "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k",
    "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} | Arquivo de vídeo produzido pela geração. |
| `prompt` | string | Prompt de texto usado para gerar o vídeo. |
| `seed` | integer | Valor de seed aplicado durante a geração. |

## Related models

- [Wan · v2.2 5b · Text to Image](https://doitong.com/developers/models/wan/v2.2-5b/text-to-image.md) (`wan/v2.2-5b/text-to-image`): $0.016 / image
- [Wan v2.2 5B · Text to Video](https://doitong.com/developers/models/wan/v2.2-5b/text-to-video.md) (`wan/v2.2-5b/text-to-video`): $0.15 / video
- [Wan v2.2 5B · Image to Video](https://doitong.com/developers/models/wan/v2.2-5b/image-to-video.md) (`wan/v2.2-5b/image-to-video`): $0.15 / video
- [Wan 3.0 Text to Video](https://doitong.com/developers/models/alibaba/wan-3.0/text-to-video.md) (`alibaba/wan-3.0/text-to-video`): from $0.05 / second
- [FLUX 3 Max Text to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/text-to-video.md) (`blackforestlabs/flux-3-max/text-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Text to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/text-to-video.md) (`xai/grok-imagine-video/v1.5/text-to-video`): from $0.08 / second
- [Kling 3.0 Pro Text to Video](https://doitong.com/developers/models/kling-video/v3/pro/text-to-video.md) (`kling-video/v3/pro/text-to-video`): from $0.112 / second
- [LTX 2.5 Pro Text to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/pro.md) (`lightricks/ltx-2.5/text-to-video/pro`): from $0.12 / second

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.2-5b/text-to-video/distill
- 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=wan/v2.2-5b/text-to-video/distill
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan/v2.2-5b/text-to-video/distill