# Wan v2.2 A14B API

> Animerer ett stillbilde til et klipp, med valgfri sluttramme, bilderuteinterpolering og detaljerte samplingskontroller

Gjør én `image_url` og en tekstprompt om til en video, og en valgfri `end_image_url` kan angi den siste bilderuten. Utdata er 480p, 580p eller 720p i auto, 16:9, 9:16 eller 1:1, med 17 til 161 bilderuter og 4 til 60 bilderuter per sekund. Sampling kan justeres med inferenssteg, to styringsskalaer, shift, en negativ prompt og en seed. Bilderuteinterpolering er tilgjengelig med alternativene film eller rife.

- 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/no/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 |  |  | URL til kildebildet, der det valgte sideforholdet avgjør om forhåndsbehandling er nødvendig: et avvik utløser skalering etterfulgt av beskjæring fra midten. |
| `prompt` |  | string | yes |  |  | Tekstinstruksjoner som veileder videogenerering. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Antall bilder for generering, med et inklusivt område på 17–161. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Bildefrekvens for generert video, med verdier fra 4 til 60; setting `adjust_fps_for_interpolation` til false bevarer frekvensen uendret. Ved bruk av interpolering og `adjust_fps_for_interpolation` satt til true (standardverdien) multipliseres frekvensen med én pluss antallet interpolerte bilder for å beregne endelig FPS. Eksempel: 16 FPS med 1 interpolert bilde blir 32 FPS. |
| `negative_prompt` |  | string | no | `` |  | Negativ prompt brukt ved generering av en video. |
| `seed` |  | integer \| null | no |  |  | Seed som gjør genereringen reproduserbar. Hvis den settes til None, velges en seed tilfeldig. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Oppløsning for utdata-video: 480p, 580p eller 720p. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | Proporsjoner for generert video, valgt automatisk fra inndatabildet når satt til 'auto'. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Antall samplingsteg; lengre behandlingstid byttes mot bedre kvalitet når antallet økes. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Sikkerhetskontroll av inndata før behandling, som bare autoriserte kontoer kan deaktivere. Forespørsler uten autorisasjon kontrolleres alltid; ellers aktiverer true kontrollen. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Styrer sikkerhetskontroll av den genererte videoen; true utfører en kontroll etter generering. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Lar en stor språkmodell berike prompten med detaljer. Når denne utvidelsen aktiveres, forblir betydningen av prompten uendret. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Akselerasjonsinnstilling, der 'regular' er det anbefalte valget. Økt akselerasjon reduserer kvaliteten for å korte ned genereringstiden. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Styrke for classifier-free guidance; mulig kvalitetstap byttes mot tettere samsvar med prompten når skalaen økes. |
| `guidance_scale_2` |  | number | no | `3.5` | 1 – 10 | Veiledningsskala som styrer hvor tett modellen følger prompten i det andre trinnet. |
| `shift` |  | number | no | `5` | 1 – 10 | Videoforskyvningsinnstilling, med tillatt område på 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Innstilling for bildeinterpolering: velg None for å hoppe over interpolering, eller angi modellen som skal utføre den. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Sett inn 0–4 interpolerte bilder i hvert mellomrom mellom to genererte bilder. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Bryter for justering av bildefrekvens: false bevarer den oppgitte FPS-en, mens true skalerer den med én pluss antallet interpolerte bilder. Dermed blir 16 FPS til 32 FPS når 1 bilde interpoleres og justering er aktivert. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Kvalitetsinnstilling for utdata-videoen som bytter større filer mot bedre visuelle resultater når verdien økes. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Modus for videoskriving, der balanced gir et kompromiss mellom hastighet og kvalitet. Velg small for de minste filene og tregeste skriving; raskere skriving returnerer resultater tidligere, men oppretter større filer. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | URL som peker til sluttbildet. |

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} | Videofil produsert av genereringen. |
| `prompt` | string | Tekstprompt brukt til å generere videoen. |
| `seed` | integer | Seed-verdi brukt under genereringen. |

## 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