# Wan 2.1 VACE Long Reframe API

> Reenquadra vídeos longos cena a cena com VACE 2.1, com deteção de cenas e reinserção

Destinado a clipes mais longos: deteta cenas, reenquadra cada uma e pode reinserir o resultado no vídeo original com `paste_back`. `scene_threshold` (0 a 100) define a sensibilidade da deteção; valores mais baixos encontram mais cenas. A redução automática da resolução está ativada por predefinição. Também oferece `zoom_factor`, `trim_borders`, proporção e `resolution` de 240p a 720p.

- Model id: `wan-vace-apps/long-reframe`
- Made by: Alibaba
- Category: Video to Video
- Output: video
- Price per 2 seconds of your input video: from $0.04 / 2 seconds of input video (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/wan-vace-apps/long-reframe`
- Quote: `POST https://api.doitong.com/v1/quote/wan-vace-apps/long-reframe`
- Docs page: https://doitong.com/pt-PT/developers/models/wan-vace-apps/long-reframe

## Pricing

Price: **from $0.04 / 2 seconds of input video** (the lowest tier; the quote prices your exact input). Price per 2 seconds of your input 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.

Price by tier:

- 240p: $0.04 / 2 seconds of input video
- 360p: $0.04 / 2 seconds of input video
- 480p: $0.04 / 2 seconds of input video
- 580p: $0.06 / 2 seconds of input video
- auto: $0.08 / 2 seconds of input video
- 720p: $0.08 / 2 seconds of input video

The full example input below costs $0.40 = 400 API credits (5 × 2 s input video × $0.08 (auto)).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/wan-vace-apps/long-reframe` 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 | no | `` |  | Instruções de texto que orientam a geração de vídeo; opcionais ao alterar o enquadramento. |
| `negative_prompt` |  | string | no | `letterboxing, borders, black bars, bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards` |  | Prompt negativo aplicado ao gerar um vídeo. |
| `seed` |  | integer \| null | no |  |  | Seed que torna a geração reproduzível. Defini-la como None seleciona uma seed aleatoriamente. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Resolução do vídeo de saída. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Proporção do vídeo resultante. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Número de passos de amostragem, trocando um tempo de processamento mais longo por melhor qualidade à medida que o número aumenta. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Intensidade do alinhamento do prompt, controlada através de orientação sem classificador; aumentar a escala incentiva as imagens geradas a seguir mais de perto o texto. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Sampler utilizado ao gerar o vídeo. |
| `shift` |  | number | no | `5` | 1 – 15 | Definição de deslocamento aplicada ao gerar o vídeo. |
| `video_url` | `video` | string (video URL) | yes |  |  | Referência para alterar o enquadramento, fornecida como URL que aponta para o ficheiro de vídeo de origem. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Interruptor de verificação de segurança cuja desativação exige autorização da conta. Sem essa autorização, todos os pedidos são verificados independentemente da definição; true ativa o verificador. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Definição de aceleração da inferência, com a opção 'none' ou 'regular': o processamento acelerado oferece uma melhoria substancial da velocidade, à custa de uma alteração muito pequena na saída. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Nível de qualidade do vídeo resultante. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Modo de escrita do vídeo resultante. |
| `enable_auto_downsample` |  | boolean | no | `true` |  | Comutador de subamostragem automática. |
| `auto_downsample_min_fps` |  | number | no | `6` | 1 – 60 | Taxa de frames mínima em FPS para subamostragem automática. |
| `interpolator_model` |  | enum (string) | no | `film` | `rife`, `film` | Seleção do modelo de interpolação de frames: 'rife' ou 'film'. |
| `transparency_mode` |  | enum (string) | no | `content_aware` | `content_aware`, `white`, `black` | Tratamento da transparência dos frames inicial e final, determinando como são preenchidas as respetivas regiões transparentes. |
| `return_frames_zip` |  | boolean | no | `false` |  | Controla se também é devolvido um arquivo ZIP que contém todos os frames gerados; ativado quando true. |
| `zoom_factor` |  | number | no | `0` | 0 – 0.9 | Defina o zoom do vídeo como 0 para o deixar inalterado. Um fator positivo amplia o vídeo relativamente à tela nessa quantidade, recortando as extremidades exteriores. |
| `trim_borders` |  | boolean | no | `true` |  | Controla se as margens do vídeo são cortadas. |
| `scene_threshold` |  | number | no | `30` | 0 – 100 | Limiar de deteção de cenas: reduzi-lo aumenta o número de cenas detetadas. Aceita valores de 0 a 100. |
| `paste_back` |  | boolean | no | `true` |  | Controla se a cena reenquadrada é colada novamente no vídeo original. |

File parameters (`video`) 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
{
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## 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.com/v1/run/wan-vace-apps/long-reframe?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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-vace-apps/long-reframe?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
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.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan-vace-apps/long-reframe", 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.com/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-vace-apps/long-reframe",
      "input": {
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "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-vace-apps/long-reframe",
  "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": 400,
    "usd": "0.40",
    "charged": 400,
    "refunded": 0
  },
  "input": {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    }
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames} | Ficheiro de vídeo resultante. |

## Related models

- [Wan VACE Video Edit](https://doitong.com/developers/models/wan-vace-apps/video-edit.md) (`wan-vace-apps/video-edit`): from $0.05 / second of input video
- [Happy Horse Video Edit](https://doitong.com/developers/models/alibaba/happy-horse/video-edit.md) (`alibaba/happy-horse/video-edit`): from $0.28 / second of input video
- [Wan 2.2 VACE Fun A14B · Depth](https://doitong.com/developers/models/wan-22-vace-fun-a14b/depth.md) (`wan-22-vace-fun-a14b/depth`): from $0.05 / second of output video
- [Wan 2.2 VACE Fun A14B · Inpainting](https://doitong.com/developers/models/wan-22-vace-fun-a14b/inpainting.md) (`wan-22-vace-fun-a14b/inpainting`): from $0.05 / second of output video
- [Wan 2.2 VACE Fun A14B · Outpainting](https://doitong.com/developers/models/wan-22-vace-fun-a14b/outpainting.md) (`wan-22-vace-fun-a14b/outpainting`): from $0.05 / second of output video
- [Wan 2.2 VACE Fun A14B · Reframe](https://doitong.com/developers/models/wan-22-vace-fun-a14b/reframe.md) (`wan-22-vace-fun-a14b/reframe`): from $0.05 / second of output video
- [Wan Motion](https://doitong.com/developers/models/wan-motion.md) (`wan-motion`): $0.06 / second of input video
- [Wan VACE 14B](https://doitong.com/developers/models/wan-vace-14b.md) (`wan-vace-14b`): from $0.04 / second of output video

## Links

- HTML page: https://doitong.com/developers/models/wan-vace-apps/long-reframe
- 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-vace-apps/long-reframe
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wan-vace-apps/long-reframe