# Wan 2.1 VACE Long Reframe API

> Tilpasser lange videoer scene for scene med VACE 2.1, sceneregistrering og indsættelse tilbage

Udviklet til længere klip: registrerer scener, tilpasser hver scene og kan indsætte resultatet tilbage i den oprindelige video med `paste_back`. `scene_threshold` (0 til 100) angiver registreringsfølsomheden, hvor lavere værdier finder flere scener. Automatisk nedsampling er slået til som standard. Tilbyder også `zoom_factor`, `trim_borders`, billedformat og `resolution` fra 240p til 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.ru/v1/run/wan-vace-apps/long-reframe`
- Quote: `POST https://api.doitong.ru/v1/quote/wan-vace-apps/long-reframe`
- Docs page: https://doitong.com/da/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.ru/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 | `` |  | Tekstinstruktioner, der styrer videogenerering; valgfri ved 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` |  | Negativ prompt anvendt ved generering af en video. |
| `seed` |  | integer \| null | no |  |  | Seed, der gør genereringen reproducerbar. Indstilling til None vælger en seed tilfældigt. |
| `resolution` |  | enum (string) | no | `auto` | `auto`, `240p`, `360p`, `480p`, `580p`, `720p` | Opløsning for outputvideoen. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `1:1`, `9:16` | Højde-bredde-forhold for den resulterende video. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 50 | Antal samplingstrin, hvor længere behandlingstid byttes for bedre kvalitet, når antallet øges. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Styrke for prompttilpasning via classifier-free guidance; en øget skala får de genererede billeder til at følge teksten tættere. |
| `sampler` |  | enum (string) | no | `unipc` | `unipc`, `dpm++`, `euler` | Sampler anvendt ved generering af video. |
| `shift` |  | number | no | `5` | 1 – 15 | Shift-indstilling anvendt ved generering af video. |
| `video_url` | `video` | string (video URL) | yes |  |  | Reframing-reference leveret som en URL, der peger på kildevideofilen. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Sikkerhedskontrol, hvis deaktivering kræver kontogodkendelse. Uden denne godkendelse kontrolleres alle anmodninger uanset indstillingen; true aktiverer kontrollen. |
| `acceleration` |  | enum (string) \| null | no | `regular` | `none`, `low`, `regular` | Indstilling for inferensacceleration med valget 'none' eller 'regular': accelereret behandling giver en betydelig hastighedsforbedring på bekostning af en meget lille ændring i outputtet. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Kvalitetsniveau for den resulterende video. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Skrivetilstand for den resulterende video. |
| `enable_auto_downsample` |  | boolean | no | `true` |  | Kontakt for automatisk nedsampling. |
| `auto_downsample_min_fps` |  | number | no | `6` | 1 – 60 | Minimumsbilledhastighed i FPS for automatisk nedsampling. |
| `interpolator_model` |  | enum (string) | no | `film` | `rife`, `film` | Valg af frame-interpolationsmodel: enten 'rife' eller 'film'. |
| `transparency_mode` |  | enum (string) | no | `content_aware` | `content_aware`, `white`, `black` | Transparenshåndtering for start- og slutframes, som bestemmer, hvordan deres transparente områder udfyldes. |
| `return_frames_zip` |  | boolean | no | `false` |  | Styrer, om et ZIP-arkiv med alle genererede frames også returneres; aktiveret når true. |
| `zoom_factor` |  | number | no | `0` | 0 – 0.9 | Sæt videoens zoom til 0 for at lade den være uændret. En positiv faktor forstørrer videoen i forhold til lærredet med den angivne mængde og beskærer de ydre kanter væk. |
| `trim_borders` |  | boolean | no | `true` |  | Styrer, om videokanter beskæres. |
| `scene_threshold` |  | number | no | `30` | 0 – 100 | Tærskel for scenedetektion: en lavere værdi øger antallet af registrerede scener. Accepterer værdier fra 0 til 100. |
| `paste_back` |  | boolean | no | `true` |  | Styrer, om den omformaterede scene indsættes tilbage i den oprindelige video. |

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-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.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-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.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-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.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-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.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} | Den resulterende videofil. |

## 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.ru/v1/models/wan-vace-apps/long-reframe