# Wan VACE 14B API

> Allgemengt VACE 14B Video-Modell: wielt eng Aufgab (Déiftekaart, pose, inpainting, outpainting, reframe) mat villen optionalen Inputs

E villsäitege Video-Generator an -Editor, deen iwwer `task` ausgewielt gëtt: Déiftekaart, pose, inpainting, outpainting oder reframe. D'Inputs enthalen e Quell-`video_url`, Mask-Video oder -Bild, `ref_image_urls` an URLs vum éischten a leschte Frame. `num_frames` geet vun 17 bis 241 an `resolution` vun 240p bis 720p. D'Sampler unipc, dpm++ an euler kënnen ausgewielt ginn.

- Model id: `wan-vace-14b`
- 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`
- Quote: `POST https://api.doitong.com/v1/quote/wan-vace-14b`
- Docs page: https://doitong.com/lb/developers/models/wan-vace-14b

## 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 $0.405 = 405 API credits (5.0625 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` 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 | yes |  |  | Textinstruktiounen, déi d'Video-Generatioun steieren. |
| `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 bei der Generatioun vun engem Video. |
| `match_input_num_frames` |  | boolean | no | `false` |  | Quell vun der Framezuel vum generéierte Video: false benotzt `num_frames`, während true d'Framezuel vum Input-Video kopéiert. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | Zuel vun den Output-Frames, mat engem inklusiven Beräich vun 81–241. |
| `match_input_frames_per_second` |  | boolean | no | `false` |  | Quell vun der Frame-Rate vum generéierte Video: false benotzt `frames_per_second`, während true d'Frame-Rate vum Input-Video kopéiert. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 30 | Frame-Rate vum generéierte Video, nëmmen applizéiert wann `match_input_frames_per_second` net true ass; akzeptéiert Wäerter sinn 5–30 Frames pro Sekonn. |
| `task` |  | enum (string) | no | `depth` | `depth`, `pose`, `inpainting`, `outpainting`, `reframe` | Typ vun der Aufgab, déi de Modell ausféiert. |
| `seed` |  | integer \| null | no |  |  | Seed, deen d'Generatioun reproduzéierbar mécht. Wann et op None gesat gëtt, gëtt e Seed zoufälleg gewielt. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Opléisung vum Output-Video. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Bildformat vum resultéierende Video. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Unzuel vun de Sampling-Schrëtt; méi Schrëtt bedeite méi laang Veraarbechtung, awer besser Qualitéit. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Stäerkt vun der Prompt-Ausriichtung iwwer classifier-free guidance; eng Erhéijung vun der Skala bréngt generéiert Biller dozou, dem Text méi genee ze folgen. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Sampler bei der Generatioun vum Video. |
| `shift` |  | number | no | `5` | 1 – 15 | Shift-Astellung bei der Generatioun vum Video. |
| `video_url` | `video` | string (video URL) \| null | no |  |  | Video-Referenz fir de Modell, als URL op d'Quell-Datei geliwwert, wann se uginn ass. |
| `mask_video_url` |  | string (video URL) \| null | no |  |  | Masken-Referenz fir de Modell, als URL op d'Quell-Datei geliwwert, wann se uginn ass. |
| `mask_image_url` |  | string (image URL) \| null | no |  |  | Guiding-Mask, déi iwwer eng Datei-URL geliwwert gëtt an bei hirer Präsenz Virrang virun der Masken-Video-URL huet. De Modell benotzt dës Mask, fir d'Erstelle vun engem maskéierte Video ze steieren. |
| `ref_image_urls` |  | array of image URL | no |  |  | Optional Quellbild-URLen, déi dem Modell Referenzbiller liwweren. |
| `first_frame_url` | `image` | string \| null | no |  |  | Optional éischte Frame als Referenz, iwwer URL geliwwert, fir de Modell bei der Videoveraarbechtung. |
| `last_frame_url` | `end_image` | string \| null | no |  |  | Optional leschte Frame als Referenz, iwwer URL geliwwert, fir de Modell bei der Videoveraarbechtung. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Sécherheetskontrollschalter, deem seng ausgeschalt Astellung d'Autorisatioun vum Kont erfuerdert. Ouni dës Autorisatioun gëtt all Ufro onofhängeg vun der Astellung kontrolléiert; true aktivéiert d'Kontroll. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Steiert, ob d'Prompt-Erweiderung aktivéiert ass. |
| `preprocess` |  | boolean | no | `false` |  | Steiert d'Virveraarbechtung vum Input-Video. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Astellung fir d'Beschleunegung vun der Inference, mat der Wiel vun 'none' oder 'regular': Beschleunegung bitt eng däitlech méi héich Geschwindegkeet op Käschte vun enger ganz klenger Ännerung vum Output. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Qualitéitsniveau vum resultéierende Video. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Schreifmodus vum resultéierende Video. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 5 | Interpolatiounszuel: 0 léisst déi originell Frames ouni Interpolatioun; aner Wäerter spezifizéieren, wéi vill Zwëscheframes tëscht hinnen generéiert ginn. |
| `temporal_downsample_factor` |  | integer | no | `0` | 0 – 5 | Faktor fir d'Iwwersprange vu Video-Frames, als Ganzzuel ausgedréckt, mat automateschem Upsampling eemol pro Downsampling-Faktor. Benotzt 0, fir den temporale Downsampling auszeschalten. |
| `enable_auto_downsample` |  | boolean | no | `false` |  | Automatesch Upassung vun der Framezuel: Wann aktivéiert, kann d'Modell e temporär downsamplede Video mat passender Längt veraarbechten; d'Interpolatioun duerno stellt d'originell Framezuel erëm hier. |
| `auto_downsample_min_fps` |  | number | no | `15` | 1 – 60 | Mindest-Frame-Rate a Frame pro Sekonn, déi nom Downsampling erlaabt ass. Bei Material mat wéineg Beweegung erlaabt eng Reduktioun vun dësem Wäert méi staarkt Downsampling a méi laang Sequenzen; ganz séier Beweegunge kënnen e méi héije Wäert erfuerderen, obwuel de Standard fir déi meescht Videoe passend ass. Automatescht Downsampling benotzt dëse Schwellwäert, fir de niddregste Faktor ze fannen, deen d'Detailer erhält. |
| `interpolator_model` |  | enum (string) | no | `film` | `rife`, `film` | Auswiel vum Frame-Interpolatiounsmodell: entweder 'rife' oder 'film'. |
| `transparency_mode` |  | enum (string) | no | `content_aware` | `content_aware`, `white`, `black` | Transparenzbehandlung fir Start- an Endframe, déi bestëmmt, wéi hir transparent Beräicher ausgefëllt ginn. |
| `return_frames_zip` |  | boolean | no | `false` |  | Steiert, ob och e ZIP-Archiv mat all generéierte Frame zréckginn gëtt; aktivéiert wann true. |

File parameters (`video`, `mask_video_url`, `mask_image_url`, `ref_image_urls`) 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
{
  "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.com/v1/run/wan-vace-14b?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.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?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.com/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-vace-14b", 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",
      "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-vace-14b",
  "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": 405,
    "usd": "0.405",
    "charged": 405,
    "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,
      "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} | Video-Datei, déi duerch d'Generatioun erstallt gouf. |
| `prompt` | string | Prompt, dee fir d'Generatioun vum Output benotzt gouf. |
| `seed` | integer | Seed-Wäert, deen während der Generatioun applizéiert gouf. |
| `frames_zip` | object {url, content_type, file_name, file_size} \| null | ZIP-Archiv mat all Video-Frame, dat op Ufro zréckginn gëtt. |

## Related models

- [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
- [Wan VACE 14B · Reframe](https://doitong.com/developers/models/wan-vace-14b/reframe.md) (`wan-vace-14b/reframe`): 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
- 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
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wan-vace-14b