# Wan 2.1 VACE Long Reframe API

> Nagre-reframe ng mahahabang video scene by scene gamit ang VACE 2.1, na may scene detection at paste-back

Ginawa para sa mas mahahabang clip: nagtutukoy ito ng mga eksena, nire-reframe ang bawat isa, at maaaring ibalik ang resulta sa orihinal na video gamit ang `paste_back`. Itinatakda ng `scene_threshold` (0 hanggang 100) ang sensitivity ng detection; mas maraming eksena ang nakikita sa mas mababang value. Naka-on bilang default ang auto downsampling. Mayroon ding `zoom_factor`, `trim_borders`, aspect ratio at `resolution` mula 240p hanggang 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/fil/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 | `` |  | Mga text instruction na gumagabay sa pagbuo ng video; opsyonal kapag nagre-reframe. |
| `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` |  | Negative prompt na inilalapat sa pagbuo ng video. |
| `seed` |  | integer \| null | no |  |  | Seed na ginagawang reproducible ang pagbuo. Ang pagtatakda nito sa None ay random na pumipili ng seed. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Resolution ng output video. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Aspect ratio ng resultang video. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Bilang ng sampling step, kung saan ipinagpapalit ang mas mahabang oras ng pagproseso para sa mas magandang kalidad habang tumataas ang bilang. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Lakas ng prompt alignment na kinokontrol sa pamamagitan ng classifier-free guidance; hinihikayat ng pagtaas ng scale ang mga nabuong larawan na mas sumunod sa text. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Sampler na ginagamit sa pagbuo ng video. |
| `shift` |  | number | no | `5` | 1 – 15 | Setting ng shift na inilalapat sa pagbuo ng video. |
| `video_url` | `video` | string (video URL) | yes |  |  | Reframing reference na ibinigay bilang URL na tumutukoy sa source video file. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Switch para sa safety checking na nangangailangan ng authorization ng account kapag naka-off. Kung walang authorization na iyon, sinusuri ang bawat kahilingan anuman ang setting; ino-on ng true ang checker. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Setting para sa acceleration ng inference, na may pagpipiliang 'none' o 'regular': nagbibigay ang accelerated processing ng malaking pagtaas sa bilis kapalit ng napakaliit na pagbabago sa output. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Antas ng kalidad para sa resultang video. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Write mode para sa resultang video. |
| `enable_auto_downsample` |  | boolean | no | `true` |  | Toggle para sa awtomatikong downsampling. |
| `auto_downsample_min_fps` |  | number | no | `6` | 1 – 60 | Minimum na frame rate sa FPS para sa awtomatikong downsampling. |
| `interpolator_model` |  | enum (string) | no | `film` | `rife`, `film` | Pagpili ng frame interpolation modelo: alinman sa 'rife' o 'film'. |
| `transparency_mode` |  | enum (string) | no | `content_aware` | `content_aware`, `white`, `black` | Paghawak sa transparency para sa starting at ending frame, na tumutukoy kung paano pupunan ang mga transparent na rehiyon ng mga ito. |
| `return_frames_zip` |  | boolean | no | `false` |  | Kinokontrol kung ibabalik din ang ZIP archive na naglalaman ng bawat nabuong frame; pinapagana kapag true. |
| `zoom_factor` |  | number | no | `0` | 0 – 0.9 | Itakda ang video zoom sa 0 para hindi ito baguhin. Pinalalaki ng positive factor ang video kaugnay ng canvas ayon sa halagang iyon, at kino-crop ang mga panlabas na gilid. |
| `trim_borders` |  | boolean | no | `true` |  | Kinokontrol kung ita-trim ang mga border ng video. |
| `scene_threshold` |  | number | no | `30` | 0 – 100 | Threshold ng scene detection: kapag binawasan ito, dumarami ang nade-detect na scene. Tumatanggap ng mga value mula 0 hanggang 100. |
| `paste_back` |  | boolean | no | `true` |  | Kinokontrol kung ibinabalik sa orihinal na video ang nireframe na scene. |

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} | Nabuong video file. |

## 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