# Wan v2.2 A14B API

> Hreyfir eina kyrrmynd í myndskeið, með valkvæðum lokaramma, rammainterpolation og ítarlegum sýnatökustýringum

Breytir einni `image_url` ásamt textakvaðningu í myndband og valfrjáls `end_image_url` getur skilgreint lokarammann. Úttakið er 480p, 580p eða 720p í auto, 16:9, 9:16 eða 1:1, með 17 til 161 ramma og 4 til 60 ramma á sekúndu. Hægt er að stilla sýnatöku með ályktunarskrefum, tveimur leiðsagnarstuðlum, shift, neikvæðri kvaðningu og slembifræi. Innskotun ramma er í boði með film- eða rife-valkostunum.

- Model id: `wan/v2.2-a14b/image-to-video`
- Made by: Alibaba
- Category: Image 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/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/image-to-video`
- Docs page: https://doitong.com/is/developers/models/wan/v2.2-a14b/image-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
- 580p: $0.06 / 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 (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/image-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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | Vefslóð upprunamyndar, þar sem valið myndhlutfall ákvarðar hvort forvinnslu sé þörf: misræmi kallar á stærðarbreytingu og síðan miðjuskurð. |
| `prompt` |  | string | yes |  |  | Textaleiðbeiningar sem stýra myndbandsgerð. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Fjöldi ramma fyrir efnisgerð, á bilinu 17–161 með báðum endapunktum. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Rammatíðni myndbands sem er búið til, tekur við gildum frá 4 til 60; stilling `adjust_fps_for_interpolation` á false varðveitir þessa tíðni óbreytta. Þegar milligreining er notuð og `adjust_fps_for_interpolation` er true (sjálfgefið) skal margfalda þessa tíðni með einum plús fjölda milligreindra ramma til að fá endanlegt FPS. Til dæmis verða 16 FPS með 1 milligreindum ramma að 32 FPS. |
| `negative_prompt` |  | string | no | `` |  | Neikvæð kvaðning sem notuð er við myndbandagerð. |
| `seed` |  | integer \| null | no |  |  | Sáðgildi sem gerir efnisgerð endurtekningarhæfa. Ef það er stillt á None er sáðgildi valið af handahófi. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Upplausn úttaksmyndbands: 480p, 580p eða 720p. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | Hlutföll myndbandsins sem verður til, valin sjálfkrafa út frá inntaksmyndinni þegar stillt er á 'auto'. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Fjöldi sýnatökuskrefa, þar sem lengri úrvinnslutími skilar betri gæðum eftir því sem fjöldinn eykst. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Öryggisskimun inntaks fyrir vinnslu sem aðeins heimilaðir reikningar mega slökkva á. Beiðnir án heimildar eru alltaf skimaðar; annars virkjar true skimun. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Stýrir öryggisskimun myndbandsins sem verður til; gildið true virkjar athugun eftir efnisgerð. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Leyfðu stórmálslíkani að bæta upplýsingum við kvaðninguna. Þessi útvíkkun breytir ekki merkingu kvaðningarinnar. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Hröðunarstilling, þar sem 'regular' er ráðlagður kostur. Aukin hröðun dregur úr gæðum til að stytta efnisgerðartímann. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Styrkur flokkunarlausrar leiðsagnar, þar sem mögulegum gæðamissi er skipt fyrir nákvæmara samræmi við kvaðningu eftir því sem kvarðinn hækkar. |
| `guidance_scale_2` |  | number | no | `3.5` | 1 – 10 | Leiðbeiningakvarði sem stýrir því hversu náið líkanið fylgir kvaðningunni á öðru stigi þess. |
| `shift` |  | number | no | `5` | 1 – 10 | Stilling fyrir hliðrun myndbands, með leyfilegu bili 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Stilling fyrir milligreiningu ramma: veldu None til að sleppa milligreiningu eða tilgreindu líkanið sem á að framkvæma hana. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Settu 0–4 milligreinda ramma inn í hvert bil milli tveggja ramma sem urðu til. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Skipti fyrir aðlögun rammatíðni: false varðveitir uppgefið FPS, en true margfaldar það með einum plús fjölda milligreindra ramma. Þannig verða 16 FPS að 32 FPS þegar 1 rammi er milligreindur og aðlögun er virk. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Gæðastilling úttaksmyndbands sem skiptir stærri skrám fyrir betri myndgæði eftir því sem gildið hækkar. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Ritunarhamur myndbands, þar sem balanced býður upp á málamiðlun milli hraða og gæða. Veldu small fyrir minnstu skrárnar og hægustu ritunina; hraðari ritun skilar niðurstöðum fyrr en býr til stærri skrár. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | Slóð sem vísar á lokamyndina. |

File parameters (`image`, `end_image`) 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",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

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

## 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/image-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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/image-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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# 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/image-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/image-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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/image-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": 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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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": "The white dragon warrior stands still, eyes full of determination and strength. The camera slowly moves closer or circles around the warrior, highlighting the powerful presence and heroic spirit of the character.",
    "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} | Myndbandsskrá sem verður til við efnisgerð. |
| `prompt` | string | Textakvaðning notuð til að búa til myndbandið. |
| `seed` | integer | Sáðgildi sem beitt er við efnisgerð. |

## 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 · Video to Video](https://doitong.com/developers/models/wan/v2.2-a14b/video-to-video.md) (`wan/v2.2-a14b/video-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
- [Wan 3.0 Image to Video](https://doitong.com/developers/models/alibaba/wan-3.0/image-to-video.md) (`alibaba/wan-3.0/image-to-video`): from $0.05 / second
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second

## Links

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