# Wan v2.2 A14B API

> Animuoja vieną nejudantį vaizdą į klipą su pasirenkamu pabaigos kadru, kadrų interpolacija ir išsamiais semplavimo valdikliais

Paverčia vieną `image_url` ir tekstinį raginį į vaizdo įrašą, o pasirinktinė `end_image_url` gali nustatyti galutinį kadrą. Išvestis yra 480p, 580p arba 720p raiškos, naudojant auto, 16:9, 9:16 arba 1:1 kraštinių santykį, nuo 17 iki 161 kadrų ir nuo 4 iki 60 kadrų per sekundę. Atranką galima tikslinti naudojant išvedimo žingsnius, du nukreipimo mastelius, shift, neigiamą raginį ir sėklą. Kadrų interpoliacija galima naudojant film arba rife parinktis.

- 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/lt/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 |  |  | Šaltinio vaizdo URL; pasirinktas kraštinių santykis lemia, ar reikia išankstinio apdorojimo: neatitikimas sukelia dydžio keitimą, po kurio atliekamas centrinis apkirpimas. |
| `prompt` |  | string | yes |  |  | Tekstinės instrukcijos, valdančios vaizdo įrašo generavimą. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Generavimo kadrų skaičius nuo 17 iki 161 imtinai. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Sugeneruoto vaizdo įrašo kadrų dažnis nuo 4 iki 60; nustačius `adjust_fps_for_interpolation` į false, šis dažnis išlaikomas nepakitęs. Naudojant interpoliaciją ir `adjust_fps_for_interpolation` esant true (numatytoji reikšmė), šį dažnį padauginus iš vieneto ir interpoliuotų kadrų skaičiaus sumos gaunamas galutinis FPS. Pavyzdžiui, 16 FPS ir 1 interpoliuotas kadras tampa 32 FPS. |
| `negative_prompt` |  | string | no | `` |  | Generuojant vaizdo įrašą taikomas neigiamas raginys. |
| `seed` |  | integer \| null | no |  |  | Generavimą atkurianti pradinė reikšmė. Nustačius None, ji parenkama atsitiktinai. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Išvesties vaizdo įrašo raiška: 480p, 580p arba 720p. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | Generuojamo vaizdo įrašo proporcijos, automatiškai parenkamos pagal įvesties vaizdą, kai nustatyta 'auto'. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Diskretizavimo žingsnių skaičius: didėjant skaičiui, ilgesnis apdorojimas suteikia geresnę kokybę. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Įvesties saugos tikrinimas prieš apdorojimą, kurį išjungti gali tik įgaliotos paskyros. Neįgaliotos užklausos visada tikrinamos; kitu atveju true įjungia tikrinimą. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Valdo sugeneruoto vaizdo įrašo saugos tikrinimą; true įjungia patikrą po generavimo. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Leidžia dideliam kalbos modeliui papildyti raginį detalėmis. Įjungus šį išplėtimą raginio reikšmė nesikeičia. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Spartinimo nustatymas; rekomenduojama reikšmė yra 'regular'. Didesnis spartinimas mažina kokybę, kad sutrumpintų generavimo laiką. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Klasifikatoriaus nenaudojančio valdymo stiprumas; didėjant masteliui galima kokybės praradimo rizika keičiama į glaudesnį atitikimą ragin iui. |
| `guidance_scale_2` |  | number | no | `3.5` | 1 – 10 | Kreipimo mastelis, nurodantis, kaip tiksliai modelis laikosi raginio antrajame etape. |
| `shift` |  | number | no | `5` | 1 – 10 | Vaizdo įrašo poslinkio nustatymas, leidžiamas intervalas 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Kadrų interpoliacijos nustatymas: pasirinkite None, kad interpoliacija nebūtų atliekama, arba nurodykite ją atliekantį modelį. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Į kiekvieną tarpą tarp dviejų sugeneruotų kadrų įterpkite nuo 0 iki 4 interpoliuotų kadrų. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Kadrų dažnio koregavimo jungiklis: false išlaiko pateiktą FPS, o true padaugina jį iš vieneto ir interpoliuotų kadrų skaičiaus sumos. Taigi, interpoliavus 1 kadrą, 16 FPS tampa 32 FPS, jei koregavimas įjungtas. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Išvesties vaizdo įrašo kokybės nustatymas: didesnė reikšmė sukuria didesnius failus, bet pagerina vaizdą. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Vaizdo įrašo rašymo režimas: balanced suderina spartą ir kokybę. Pasirinkite small mažiausiems failams ir lėčiausiam rašymui; spartesnis rašymas rezultatus pateikia anksčiau, bet sukuria didesnius failus. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | Pabaigos vaizdo URL. |

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} | Generuojant sukurtas vaizdo įrašo failas. |
| `prompt` | string | Vaizdo įrašui generuoti naudotas tekstinis raginys. |
| `seed` | integer | Generuojant taikoma pradinė reikšmė. |

## 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