# Wan v2.2 5B · Image to Video API

> Wan 2.2 5B image-to-video fleksibilone ginesa e frejmonge, 580p vaj 720p, thaj interpolacijasa

Animirin jek kipo (`image_url`) katar jek teksto `prompt`. `num_frames` si 17 dži 161 thaj `frames_per_second` 4 dži 60, pe 580p vaj 720p. Proporcija šaj te avel auto, 16:9, 9:16 vaj 1:1. Kadroni interpolacija vakerel film vaj rife, thaj čhivel 0 dži 4 kadra maškar sako jekh para; `video_quality` thaj `video_write_mode` kontrolinen o encoding.

- Model id: `wan/v2.2-5b/image-to-video`
- Made by: Alibaba
- Category: Image to Video
- Output: video
- Price: $0.15 / video (cheapest run $0.15 (150 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-5b/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-5b/image-to-video`
- Docs page: https://doitong.com/rom/developers/models/wan/v2.2-5b/image-to-video

## Pricing

Price: **$0.15 / video**. Billed once per generated video.

The full example input below costs $0.15 = 150 API credits (1 video × 150 API credits).

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/v2.2-5b/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 |  |  | Source-kipoqo URL; o kidlo aspect ratio odlučinel te kampreprocesiripe si trubul: mismatch anel resize palal center crop. |
| `prompt` |  | string | yes |  |  | Tekstune instrukcije save dromar videoqo generiripe. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Kadroengo gendo vaś o keripe, inkluzivno range 17–161. |
| `frames_per_second` |  | integer \| null | no | `24` | 4 – 60 | Kerde videosko kadroengo frekvenca, leľipen 4 dži 60; kana `adjust_fps_for_interpolation` hin false, ačhavel la frekvenca bi averipen. Kana interpolacija hin labardi thaj `adjust_fps_for_interpolation` hin true (lakro standardno), množin e frekvenca jekh plus interpolime kadroengo gendoha vaś paluno FPS. Sar primer, 16 FPS jekh interpolime kadroha keren 32 FPS. |
| `negative_prompt` |  | string | no | `` |  | Negačutno promptos čhivdo kana kerel jekh video. |
| `seed` |  | integer \| null | no |  |  | Seed savo kerel o generiripe reproducibilno. Te postavil pes pe None, randomno kidel pes seed. |
| `resolution` |  | enum (string) | no | `720p` | `580p`, `720p` | Rezolucija e rezultatsko videoski, 580p vaj 720p. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | Proporcije le kerde videoske, alosarde automatikane andar o inputosko kipo kana si postavime pe 'auto'. |
| `num_inference_steps` |  | integer | no | `40` | 2 – 50 | Gin e sampling-krokingo, savo zamenel majdur procesiripe vaś majlačhi kvaliteta kana o gin barol. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Inputoski sigurnostno kontrola anglal procesovanie, savi šaj te čhinel ča authorized konto. Mangipena bi autorizacija hin sajek kontrolime; averčhane true lačarel kontrola. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Kontrolinel sigurnostno kontrola e kerde videoski; true lačarel kontrola palal keripe. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Mukhel jekh baro čhibako modelo te pheravel o prompto detalonca. O pheripe na paruverel promptosko arakhlo. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Zor e classifier-free guidance-ski, savo zamenel šajutni kvaliteta-losaripen vaś majpašuno promptosko sovipen kana e skala barol. |
| `shift` |  | number | no | `5` | 1 – 10 | Videosko shiftosko nastavenie, dovolen no range 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Kadroengo interpolacijako nastavenie: thov None te na kerel interpolacija, vaj specifikin o modelo savo la kerel. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 4 | Thov 0–4 interpolime kadro andro sako khub maškar duj kerde kadro. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Kadroengo frekvencijako adjustosko toggle: false ačhavel deďi FPS, true množinel la jekhe plus interpolime kadroengo gendoha. Kadaleha 16 FPS keren 32 FPS kana interpolimen jekh kadro thaj adjustovanie hin aktivno. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Rezultatsko videoski kvalitetsko nastavenie, savo lel bareder fajla vaś feder vizualna kana barol. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Videosko lekharepesko modo; balanced del kompromiso maškar sigipen thaj kvalita. Thov small vaś ciklone fajla thaj naj-sloweder lekharipe; sigeder lekharipe anel rezultatura sigeder, numa kerel bareder fajla. |

File parameters (`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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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": 150,
    "usd": "0.15",
    "charged": 150,
    "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} | Video-fajlo kerdino generiripeça. |
| `prompt` | string | Tekstovo prompto labardo vaś videosko keripe. |
| `seed` | integer | Seed-valoro aplikovano ko generiripe. |

## Related models

- [Wan · v2.2 5b · Text to Image](https://doitong.com/developers/models/wan/v2.2-5b/text-to-image.md) (`wan/v2.2-5b/text-to-image`): $0.016 / image
- [Wan v2.2 5B · Text to Video](https://doitong.com/developers/models/wan/v2.2-5b/text-to-video.md) (`wan/v2.2-5b/text-to-video`): $0.15 / video
- [Wan · v2.2 5b · Text to Video · Distill](https://doitong.com/developers/models/wan/v2.2-5b/text-to-video/distill.md) (`wan/v2.2-5b/text-to-video/distill`): $0.08 / 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
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.2-5b/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/v2.2-5b/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan/v2.2-5b/image-to-video