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

> Text-to-video Wan 5B rápido, com saída 480p, 580p ou 720p e interpolação opcional

Text-to-video usando a compilação FastVideo do modelo 5B. Recebe um `prompt` e um `negative_prompt` opcional, com `num_frames` de 17 a 161, `frames_per_second` de 4 a 60 e enquadramento 16:9, 9:16 ou 1:1. Adiciona 480p às opções 580p e 720p, não tem entrada para o número de passos e suporta interpolação film ou rife.

- Model id: `wan/v2.2-5b/text-to-video/fast-wan`
- Made by: Alibaba
- Category: Text to Video
- Output: video
- Price: from $0.0125 / video (cheapest run $0.013 (13 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-5b/text-to-video/fast-wan`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-5b/text-to-video/fast-wan`
- Docs page: https://doitong.com/pt-PT/developers/models/wan/v2.2-5b/text-to-video/fast-wan

## Pricing

Price: **from $0.0125 / video** (the lowest tier; the quote prices your exact input). Billed once per generated video.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `resolution` = 580p: $0.0188 (18.75 API credits) / video
- When `resolution` = 720p: $0.025 (25 API credits) / video

The full example input below costs $0.025 = 25 API credits (1 video × 25 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/fast-wan` 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. |
| `negative_prompt` |  | string | no | `` |  | Prompt negativo aplicado ao gerar um vídeo. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Número de frames da geração, com intervalo inclusivo de 17–161. |
| `frames_per_second` |  | integer \| null | no | `24` | 4 – 60 | Taxa de frames do vídeo gerado, aceitando valores de 4 a 60; definir `adjust_fps_for_interpolation` como false mantém esta taxa inalterada. Com interpolação ativa e `adjust_fps_for_interpolation` como true (a predefinição), multiplique esta taxa por um mais o número de frames interpolados para obter o FPS final. Por exemplo, 16 FPS com 1 frame interpolado tornam-se 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Seed que torna a geração reproduzível. Defini-la como None seleciona uma seed aleatoriamente. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `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. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Verificação de segurança da entrada antes do processamento, que apenas contas autorizadas podem desativar. Os pedidos sem autorização são sempre verificados; caso contrário, true ativa a verificação. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Controla a verificação de segurança do vídeo gerado; definir como true ativa uma verificação após a geração. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Permite que um modelo de linguagem de grande escala enriqueça o prompt com detalhes. Ativar esta expansão não altera o significado do prompt. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Intensidade da orientação sem classificador, trocando uma possível perda de qualidade por uma correspondência mais próxima do prompt à medida que a escala aumenta. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Definição de interpolação de frames: escolha None para ignorar a interpolação ou especifique o modelo que a executará. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 4 | Insira 0–4 frames interpolados em cada intervalo entre dois frames gerados. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Comutador de ajuste da taxa de frames: false mantém o FPS fornecido, enquanto true o multiplica por um mais o número de frames interpolados. Assim, 16 FPS tornam-se 32 FPS quando é interpolado 1 frame e o ajuste está ativado. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Definição de qualidade do vídeo de saída, que troca ficheiros maiores por melhores imagens à medida que aumenta. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Modo de escrita do vídeo, com balanced a oferecer um compromisso entre velocidade e qualidade. Escolha small para obter os ficheiros mais pequenos e a escrita mais lenta; uma escrita mais rápida devolve resultados mais cedo, mas cria ficheiros 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/fast-wan?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/fast-wan?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/fast-wan", 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/fast-wan",
      "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/fast-wan",
  "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": 25,
    "usd": "0.025",
    "charged": 25,
    "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} | Ficheiro de vídeo produzido pela geração. |
| `prompt` | string | Prompt de texto utilizado para gerar o vídeo. |
| `seed` | integer | Valor da seed aplicado durante a geração. |

## Related models

- [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
- [MiniMax H3 Text to Video](https://doitong.com/developers/models/minimax/h3/text-to-video.md) (`minimax/h3/text-to-video`): from $0.05 / second
- [Seedance 2.0 Fast Text to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/text-to-video.md) (`bytedance/seedance-2.0/fast/text-to-video`): from $0.113 / second
- [Seedance 2.0 Text to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/text-to-video.md) (`bytedance/seedance-2.0/text-to-video`): from $0.141 / second

## Links

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