# Wan · v2.2 A14b · Video to Video API

> A14B 影片轉影片，根據提示詞重新設計來源片段風格，並可調整強度

根據 `prompt` 轉換輸入的 `video_url`。`strength` 為 0 到 1，用於設定結果偏離來源的程度：0 保留輸入，1 完全遵循提示詞。長寬比預設為 auto，並符合輸入。解析度為 480p 到 720p，`num_frames` 為 17 到 161，且可選擇使用 `resample_fps` 重新取樣影片。

- Model id: `wan/v2.2-a14b/video-to-video`
- 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/v2.2-a14b/video-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/video-to-video`
- Docs page: https://doitong.com/zh-TW/developers/models/wan/v2.2-a14b/video-to-video

## 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:

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

The full example input below costs $0.81 = 810 API credits (10.125 s output video × $0.08 (720p)).

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/v2.2-a14b/video-to-video` 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 |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | 輸入影片的 URL。 |
| `prompt` |  | string | yes |  |  | 引導影片生成的文字指示。 |
| `strength` |  | number | no | `0.9` | 0 – 1 | 影片轉換強度，效果範圍從 0.0 時保持輸入不變，到 1.0 時完全依據提示詞產生輸出。 |
| `num_frames` |  | integer | no | `81` | 17 – 161 | 生成的影格數量，範圍為 17–161，包含邊界值。 |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | 生成影片的影格速率，接受 4 到 60 的值；將 `adjust_fps_for_interpolation` 設為 false 可原樣保留此速率。使用插值且 `adjust_fps_for_interpolation` 為 true（其預設值）時，將此速率乘以插值影格數加一，即可取得最終 FPS。例如，16 FPS 搭配 1 個插值影格會變成 32 FPS。 |
| `negative_prompt` |  | string | no | `` |  | 生成影片時套用的負面提示詞。 |
| `seed` |  | integer \| null | no |  |  | 使生成結果可重現的種子。設為 None 會隨機選擇種子。 |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | 輸出影片解析度：480p、580p 或 720p。 |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | 明確設定生成影片的比例，或選擇 'auto' 讓輸入影片自動決定比例。 |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | 取樣步數；步數越多，處理時間越長但品質越好。 |
| `enable_safety_checker` |  | boolean | no | `false` |  | 處理前的輸入安全篩選，只有獲授權的帳戶可以關閉。未獲授權的請求一律會篩選；其他情況下，true 會啟用篩選。 |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | 控制生成影片的安全篩選；設為 true 會在生成後執行檢查。 |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | 允許大型語言模型以詳細資訊豐富提示詞。啟用此擴展不會改變提示詞的含義。 |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | 加速設定，建議選擇 'regular'。提高加速程度會犧牲品質，以縮短生成時間。 |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | 無分類器引導強度；比例越高，越貼近提示詞，但可能造成品質損失。 |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | 控制模型在第二階段遵循提示詞程度的引導強度。 |
| `shift` |  | number | no | `5` | 1 – 10 | 影片位移設定，允許範圍為 1.0–10.0。 |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | 影格插值設定：選擇 None 略過插值，或指定執行插值的模型。 |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | 在每兩個生成影格之間的間隔插入 0–4 個插值影格。 |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | 影格速率調整開關：false 會保留提供的 FPS，true 則將其乘以插值影格數加一。因此，啟用調整且插入 1 個影格時，16 FPS 會變成 32 FPS。 |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | 輸出影片品質設定；設定值越高，會以較大的檔案換取更佳的視覺效果。 |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | 影片寫入模式，balanced 在速度與品質之間取得平衡。選擇 small 可產生最小檔案並以最慢速度寫入；較快的寫入會更早回傳結果，但會建立較大的檔案。 |
| `resample_fps` |  | boolean | no | `false` |  | 是否停用影片重新取樣（false），或以提供的影格速率執行重新取樣（true）。 |

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
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "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/v2.2-a14b/video-to-video?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",
    "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/v2.2-a14b/video-to-video?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",
    "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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "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/v2.2-a14b/video-to-video", 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/v2.2-a14b/video-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "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/v2.2-a14b/video-to-video",
  "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": 810,
    "usd": "0.81",
    "charged": 810,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "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
    },
    "prompt": "A low-angle medium shot captures a domestic white cat with brown and black patches and a blue bandana sitting on a light-colored tiled floor indoors, meticulously grooming itself by licking its paw and then rubbing its face with it, against a soft-focused background of wooden kitchen cabinets and a reflective metallic appliance.",
    "seed": 42
  },
  "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} | 生成產生的影片檔案。 |
| `prompt` | string | 用於生成影片的文字提示詞。 |
| `seed` | integer | 生成期間套用的種子值。 |

## Related models

- [Wan · v2.2 A14b · Text to Image](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-image.md) (`wan/v2.2-a14b/text-to-image`): $0.025 / image
- [Wan-2.2 Text-to-Video A14B](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-video.md) (`wan/v2.2-a14b/text-to-video`): from $0.04 / second of output video
- [Wan v2.2 A14B](https://doitong.com/developers/models/wan/v2.2-a14b/image-to-video.md) (`wan/v2.2-a14b/image-to-video`): from $0.04 / second of output video
- [Wan-2.2 Speech-to-Video 14B](https://doitong.com/developers/models/wan/v2.2-14b/speech-to-video.md) (`wan/v2.2-14b/speech-to-video`): from $0.10 / 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
- [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

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.2-a14b/video-to-video
- 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/v2.2-a14b/video-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan/v2.2-a14b/video-to-video