# Wan VACE 14B · Reframe API

> Penukaran bingkai video VACE 14B kepada nisbah aspek baharu, dengan zum dan pemangkasan sempadan; prompt adalah pilihan

Menerima `video_url` dan menyusun semula video untuk `aspect_ratio` berbeza (auto, 16:9, 1:1 atau 9:16). `prompt` adalah pilihan. `zoom_factor` (0 hingga 0.9) memangkas masuk bingkai dan `trim_borders` membuang sempadan. Bilangan bingkai dan kadar bingkai sepadan dengan input secara lalai, manakala `resolution` berjulat daripada 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.com/v1/run/wan-vace-14b/reframe`
- Quote: `POST https://api.doitong.com/v1/quote/wan-vace-14b/reframe`
- Docs page: https://doitong.com/ms/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.com/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 | `` |  | Arahan teks yang membimbing penjanaan video; pilihan apabila melakukan 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 digunakan semasa menjana video. |
| `match_input_num_frames` |  | boolean | no | `true` |  | Sumber bilangan bingkai video yang dijana: false menggunakan `num_frames`, manakala true menyalin bilangan bingkai video input. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | Bilangan bingkai output, dengan julat inklusif 81–241. |
| `match_input_frames_per_second` |  | boolean | no | `true` |  | Sumber kadar bingkai video yang dijana: false menggunakan `frames_per_second`, manakala true menyalin kadar bingkai video input. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 30 | Kadar bingkai video yang dijana, digunakan hanya apabila `match_input_frames_per_second` bukan true; nilai yang diterima ialah 5–30 bingkai sesaat. |
| `seed` |  | integer \| null | no |  |  | Seed yang menjadikan penjanaan boleh diulang. Menetapkannya kepada None memilih seed secara rawak. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Resolusi untuk video output. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Nisbah bidang untuk video yang terhasil. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Bilangan langkah pensampelan, yang menukar masa pemprosesan lebih lama dengan kualiti lebih baik apabila bilangannya meningkat. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Kekuatan penjajaran prompt yang dikawal melalui panduan tanpa pengelas; meningkatkan skala menggalakkan imej yang dijana mengikut teks dengan lebih dekat. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Pensampel yang digunakan semasa menjana video. |
| `shift` |  | number | no | `5` | 1 – 15 | Tetapan anjakan yang digunakan semasa menjana video. |
| `video_url` | `video` | string (video URL) | yes |  |  | Rujukan reframing yang dibekalkan sebagai URL yang menunjuk kepada fail video sumber. |
| `first_frame_url` | `image` | string \| null | no |  |  | Rujukan bingkai pertama pilihan yang dibekalkan melalui URL untuk digunakan oleh model semasa memproses video. |
| `last_frame_url` | `end_image` | string \| null | no |  |  | Rujukan bingkai terakhir pilihan yang dibekalkan melalui URL untuk digunakan oleh model semasa memproses video. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Suis pemeriksaan keselamatan yang tetapan matinya memerlukan kebenaran akaun. Tanpa kebenaran itu, setiap permintaan diperiksa tanpa mengira tetapan; true mendayakan pemeriksa. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Mengawal sama ada pengembangan prompt didayakan. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Tetapan pecutan inferens, dengan pilihan 'none' atau 'regular': pemprosesan dipercepatkan memberikan peningkatan kelajuan yang ketara dengan perubahan output yang sangat kecil. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Tahap kualiti untuk video yang terhasil. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Mod penulisan untuk video yang terhasil. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 5 | Bilangan interpolasi: 0 mengekalkan bingkai asal tanpa interpolasi; nilai lain menentukan bilangan bingkai perantaraan yang dijana antara bingkai tersebut. |
| `temporal_downsample_factor` |  | integer | no | `0` | 0 – 5 | Faktor pelangkauan bingkai video, dinyatakan sebagai integer, dengan pensampelan naik automatik digunakan sekali bagi setiap faktor pensampelan turun. Gunakan 0 untuk memastikan pensampelan turun temporal dilumpuhkan. |
| `enable_auto_downsample` |  | boolean | no | `false` |  | Penyesuaian bilangan bingkai automatik: mendayakan ini membolehkan model memproses video yang disampel turun secara temporal dengan panjang yang sesuai, kemudian interpolasi memulihkan bilangan bingkai asal. |
| `auto_downsample_min_fps` |  | number | no | `15` | 1 – 60 | Kadar bingkai minimum, dalam bingkai sesaat, yang dibenarkan selepas pensampelan bawah. Untuk rakaman dengan gerakan rendah, mengurangkan nilai ini membolehkan pensampelan bawah yang lebih besar dan urutan yang lebih panjang; gerakan sangat pantas mungkin memerlukan nilai lebih tinggi, walaupun lalai sesuai untuk kebanyakan video. Pensampelan bawah automatik menggunakan ambang ini untuk mencari faktor terendah yang mengekalkan perincian. |
| `interpolator_model` |  | enum (string) | no | `film` | `rife`, `film` | Pilihan model interpolasi bingkai: sama ada 'rife' atau 'film'. |
| `transparency_mode` |  | enum (string) | no | `content_aware` | `content_aware`, `white`, `black` | Pengendalian ketelusan untuk bingkai mula dan akhir, menentukan cara kawasan lutsinar diisi. |
| `return_frames_zip` |  | boolean | no | `false` |  | Mengawal sama ada arkib ZIP yang mengandungi setiap bingkai yang dijana turut dikembalikan; didayakan apabila true. |
| `zoom_factor` |  | number | no | `0` | 0 – 0.9 | Tetapkan zum video kepada 0 untuk mengekalkannya tanpa perubahan. Faktor positif membesarkan video berbanding kanvas sebanyak nilai tersebut, lalu memotong tepi luar. |
| `trim_borders` |  | boolean | no | `true` |  | Mengawal sama ada sempadan 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.com/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.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-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.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-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.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-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.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} | Fail video yang direframe dan dihasilkan oleh model. |
| `prompt` | string | Prompt yang digunakan untuk menjana output. |
| `seed` | integer | Nilai seed yang digunakan semasa penjanaan. |
| `frames_zip` | object {url, content_type, file_name, file_size} \| null | Arkib ZIP yang mengandungi setiap bingkai video, dikembalikan apabila 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.com/v1/models/wan-vace-14b/reframe