# Wan VACE 14B · Reframe API

> Reframing video VACE 14B ke rasio aspek baru, dengan zoom dan pemangkasan tepi; prompt opsional

Menerima `video_url` dan menyusun ulang video untuk `aspect_ratio` berbeda (auto, 16:9, 1:1, atau 9:16). `prompt` bersifat opsional. `zoom_factor` (0 hingga 0.9) memperbesar potongan bingkai dan `trim_borders` menghapus batas. Jumlah bingkai dan laju bingkai mengikuti input secara bawaan, sementara `resolution` berkisar dari 240p hingga 720p.

- Model id: `wan-vace-14b/reframe`
- Made by: Alibaba
- Category: Video to Video
- Output: video
- Price per second of your output video: from $0.04 / second of output video (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan-vace-14b/reframe`
- Quote: `POST https://api.doitong.ru/v1/quote/wan-vace-14b/reframe`
- Docs page: https://doitong.com/id/developers/models/wan-vace-14b/reframe

## Pricing

Price: **from $0.04 / 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.

Price by tier:

- 240p: $0.04 / second of output video
- 360p: $0.04 / second of output video
- 480p: $0.04 / second of output video
- 580p: $0.06 / second of output video
- auto: $0.08 / second of output video
- 720p: $0.08 / second of output video

The full example input below costs $1.50 = 1500 API credits (18.75 s output 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.ru/v1/quote/wan-vace-14b/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 | `` |  | Instruksi teks yang memandu pembuatan video; opsional saat reframing. |
| `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 negatif yang diterapkan saat membuat video. |
| `match_input_num_frames` |  | boolean | no | `true` |  | Sumber jumlah bingkai video yang dihasilkan: false menggunakan `num_frames`, sedangkan true menyalin jumlah bingkai video input. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | Jumlah bingkai output, dengan rentang inklusif 81–241. |
| `match_input_frames_per_second` |  | boolean | no | `true` |  | Sumber kecepatan bingkai video yang dihasilkan: false menggunakan `frames_per_second`, sedangkan true menyalin kecepatan bingkai video input. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 30 | Kecepatan bingkai video yang dihasilkan, diterapkan hanya saat `match_input_frames_per_second` bukan true; nilai yang diterima adalah 5–30 bingkai per detik. |
| `seed` |  | integer \| null | no |  |  | Seed yang membuat pembuatan dapat direproduksi. Mengaturnya ke None akan memilih seed secara acak. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Resolusi video output. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Rasio aspek video hasil. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Jumlah langkah sampling, yang menukar waktu pemrosesan lebih lama dengan kualitas lebih baik seiring bertambahnya jumlah. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Kekuatan penyelarasan prompt yang dikendalikan melalui classifier-free guidance; meningkatkan skala mendorong gambar hasil agar lebih mengikuti teks. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Sampler yang digunakan saat membuat video. |
| `shift` |  | number | no | `5` | 1 – 15 | Pengaturan shift yang diterapkan saat membuat video. |
| `video_url` | `video` | string (video URL) | yes |  |  | Referensi reframing yang diberikan sebagai URL yang mengarah ke file video sumber. |
| `first_frame_url` | `image` | string \| null | no |  |  | Referensi bingkai pertama opsional yang diberikan melalui URL untuk digunakan model saat memproses video. |
| `last_frame_url` | `end_image` | string \| null | no |  |  | Referensi bingkai terakhir opsional yang diberikan melalui URL untuk digunakan model saat memproses video. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Sakelar pemeriksaan keamanan yang saat dinonaktifkan memerlukan otorisasi akun. Tanpa otorisasi tersebut, setiap permintaan diperiksa terlepas dari pengaturannya; true mengaktifkan pemeriksa. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Mengontrol apakah perluasan prompt diaktifkan. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Pengaturan percepatan inferensi, dengan pilihan 'none' atau 'regular': pemrosesan yang dipercepat memberikan peningkatan kecepatan yang signifikan dengan sedikit perubahan pada output. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Tingkat kualitas untuk video yang dihasilkan. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Mode penulisan untuk video yang dihasilkan. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 5 | Jumlah interpolasi: 0 membiarkan bingkai asli tanpa interpolasi; nilai lain menentukan jumlah bingkai antara yang dibuat di antaranya. |
| `temporal_downsample_factor` |  | integer | no | `0` | 0 – 5 | Faktor pelewatan bingkai video, dinyatakan sebagai bilangan bulat, dengan upsampling otomatis yang diterapkan satu kali untuk setiap faktor downsampling. Gunakan 0 untuk menonaktifkan downsampling temporal. |
| `enable_auto_downsample` |  | boolean | no | `false` |  | Adaptasi jumlah bingkai otomatis: mengaktifkannya memungkinkan model memproses video yang di-downsample secara temporal dengan durasi yang sesuai, lalu interpolasi memulihkan jumlah bingkai asli. |
| `auto_downsample_min_fps` |  | number | no | `15` | 1 – 60 | Bingkai rate minimum, dalam bingkai per detik, yang diizinkan setelah downsampling. Untuk rekaman dengan gerakan rendah, mengurangi nilai ini memungkinkan downsampling yang lebih besar dan sequence yang lebih panjang; gerakan sangat cepat mungkin memerlukan nilai yang lebih tinggi, meskipun nilai bawaan cocok untuk sebagian besar video. Downsampling otomatis menggunakan ambang ini untuk mencari faktor terendah yang mempertahankan detail. |
| `interpolator_model` |  | enum (string) | no | `film` | `rife`, `film` | Pilihan model interpolasi bingkai: 'rife' atau 'film'. |
| `transparency_mode` |  | enum (string) | no | `content_aware` | `content_aware`, `white`, `black` | Penanganan transparansi untuk bingkai awal dan akhir, yang menentukan cara area transparannya diisi. |
| `return_frames_zip` |  | boolean | no | `false` |  | Mengontrol apakah arsip ZIP yang berisi setiap bingkai hasil juga dikembalikan; diaktifkan saat true. |
| `zoom_factor` |  | number | no | `0` | 0 – 0.9 | Atur zoom video ke 0 agar tidak berubah. Faktor positif memperbesar video relatif terhadap canvas sebesar nilai tersebut, dengan memangkas tepi luar. |
| `trim_borders` |  | boolean | no | `true` |  | Mengontrol apakah tepi video dipangkas. |

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.ru/v1/run/wan-vace-14b/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.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-vace-14b/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.ru/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-14b/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.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-vace-14b/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-14b/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": 1500,
    "usd": "1.50",
    "charged": 1500,
    "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
    },
    "prompt": "string",
    "seed": 42,
    "frames_zip": {
      "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
    }
  },
  "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, width, height, fps, duration, num_frames} | File video hasil reframing yang dihasilkan model. |
| `prompt` | string | Prompt yang digunakan untuk menghasilkan output. |
| `seed` | integer | Nilai seed yang diterapkan selama pembuatan. |
| `frames_zip` | object {url, content_type, file_name, file_size} \| null | Arsip ZIP yang berisi setiap bingkai video, dikembalikan jika diminta. |

## Related models

- [Wan VACE 14B](https://doitong.com/developers/models/wan-vace-14b.md) (`wan-vace-14b`): from $0.04 / second of output video
- [Wan VACE 14B · Depth](https://doitong.com/developers/models/wan-vace-14b/depth.md) (`wan-vace-14b/depth`): from $0.04 / second of output video
- [Wan VACE 14B · Inpainting](https://doitong.com/developers/models/wan-vace-14b/inpainting.md) (`wan-vace-14b/inpainting`): from $0.04 / second of output video
- [Wan VACE 14B · Outpainting](https://doitong.com/developers/models/wan-vace-14b/outpainting.md) (`wan-vace-14b/outpainting`): from $0.04 / second of output video
- [Wan VACE 14B · Pose](https://doitong.com/developers/models/wan-vace-14b/pose.md) (`wan-vace-14b/pose`): from $0.04 / second of output 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 2.1 VACE Long Reframe](https://doitong.com/developers/models/wan-vace-apps/long-reframe.md) (`wan-vace-apps/long-reframe`): from $0.04 / 2 seconds 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

## Links

- HTML page: https://doitong.com/developers/models/wan-vace-14b/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-14b/reframe
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan-vace-14b/reframe