# Wan v2.2 A14B Image-to-Video A14B with LoRAs API

> A14B image-to-video som accepterar Wan 2.2 LoRA-vikter och kan spela upp klippet baklänges

Animerar en `image_url` från en `prompt`, med anpassade LoRA-vikter via `loras`. En valfri `end_image_url` anger den sista bildrutan, och `reverse_video` spelar upp resultatet baklänges. `num_frames` sträcker sig från 17 till 161, `resolution` är 480p till 720p och bildförhållandet kan vara auto, 16:9, 9:16 eller 1:1.

- Model id: `wan/v2.2-a14b/image-to-video/lora`
- Made by: Alibaba
- Category: Image to Video
- Output: video
- Estimated price per run: from $1.006 / run (cheapest run $1.006 (1006 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-a14b/image-to-video/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/image-to-video/lora`
- Docs page: https://doitong.com/sv/developers/models/wan/v2.2-a14b/image-to-video/lora

## Pricing

Price: **from $1.006 / run** (the lowest tier; the quote prices your exact input). Estimated from the typical cost of one run. The quote is exactly what the run charges.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `num_frames` > 81 and `resolution` = 480p: base price × 2
- When `num_frames` > 81 and `resolution` = 580p: base price × 2
- When `num_frames` > 81 and `resolution` = 720p: base price × 2

The full example input below costs $1.006 = 1006 API credits (1 request × 1006 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-a14b/image-to-video/lora` 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 till källbilden, där det valda bildförhållandet avgör om förbehandling behövs: en avvikelse utlöser storleksändring följt av beskärning från mitten. |
| `prompt` |  | string | yes |  |  | Textinstruktioner som vägleder videogenereringen. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Antal bildrutor för generering, med ett inkluderande intervall på 17–161. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Den genererade videons bildfrekvens, med värden från 4 till 60. Om `adjust_fps_for_interpolation` anges som false bevaras frekvensen oförändrad. Vid interpolering och när `adjust_fps_for_interpolation` är true (standardvärdet) multipliceras frekvensen med ett plus antalet interpolerade bildrutor för att få slutlig FPS. Exempel: 16 FPS med 1 interpolerad bildruta blir 32 FPS. |
| `negative_prompt` |  | string | no | `` |  | Negativ prompt som används vid videogenerering. |
| `seed` |  | integer \| null | no |  |  | Seed som gör genereringen reproducerbar. Om det ställs in på None väljs ett seed slumpmässigt. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Videons upplösning: 480p, 580p eller 720p. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | Den genererade videons proportioner, väljs automatiskt från indatabilden när värdet är 'auto'. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Antal samplingssteg; längre bearbetningstid ger bättre kvalitet när antalet ökar. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Säkerhetskontroll av indata före bearbetning, som endast auktoriserade konton får stänga av. Begäranden utan behörighet kontrolleras alltid; annars aktiverar true kontrollen. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Styr säkerhetskontrollen av den genererade videon; true aktiverar en kontroll efter genereringen. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Låt en stor språkmodell berika prompten med detaljer. När denna utökning aktiveras förblir promptens innebörd oförändrad. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Accelereringsinställning, där 'regular' rekommenderas. Högre accelerering försämrar kvaliteten för att förkorta genereringstiden. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Styrka för classifier-free guidance; möjlig kvalitetsförlust byts mot bättre överensstämmelse med prompten när skalan ökar. |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | Styrskala som anger hur nära modellen följer prompten under det andra steget. |
| `shift` |  | number | no | `5` | 1 – 10 | Videoförskjutningsinställning, med tillåtet intervall 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Inställning för bildruteinterpolering: välj None för att hoppa över interpolering eller ange modellen som ska utföra den. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Infoga 0–4 interpolerade bildrutor i varje mellanrum mellan två genererade bildrutor. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Växlingsknapp för justering av bildfrekvens: false bevarar angiven FPS, medan true skalar den med ett plus antalet interpolerade bildrutor. Därför blir 16 FPS 32 FPS när 1 bildruta interpoleras och justering är aktiverad. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Kvalitetsinställning för utdata-videon som byter större filer mot förbättrad visuell kvalitet när värdet ökar. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Videoskrivningsläge, där balanced ger en kompromiss mellan hastighet och kvalitet. Välj small för minsta filer och långsammaste skrivning; snabbare skrivning returnerar resultat tidigare men skapar större filer. |
| `loras` |  | array of object {path, weight_name, scale, transformer} | no | `[]` |  | LoRA-vikter som används under inferens. |
| `loras[].path` |  | string | yes |  |  | Plats för LoRA-vikterna, angiven som en URL eller sökväg. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA-viktnamn, krävs endast när ett Hugging Face-arkiv innehåller fler än 1 safetensors-fil. Namnet används endast när `path` identifierar ett sådant arkiv. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplikator som tillämpas på LoRA-vikten innan den slås samman med basmodellen. |
| `loras[].transformer` |  | enum (string) | no | `high` | `high`, `low`, `both` | Transformer-mål för LoRA-vikten. Välj 'high' för transformern med högt brus, 'low' för transformern med lågt brus eller 'both' för att läsa in vikten i båda transformerna. |
| `reverse_video` |  | boolean | no | `false` |  | Växlingsknapp för att vända videon; true vänder uppspelningen. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | URL till slutbilden. |

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/lora?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/lora?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/lora", 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/lora",
      "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/lora",
  "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": 1006,
    "usd": "1.006",
    "charged": 1006,
    "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 som skapats genom generering. |
| `prompt` | string | Textprompt som används för att generera videon. |
| `seed` | integer | Seed-värde som tillämpas under genereringen. |

## Related models

- [Wan v2.2 A14B Text-to-Image A14B with LoRAs](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-image/lora.md) (`wan/v2.2-a14b/text-to-image/lora`): $0.05 / image
- [Wan-2.2 Text-to-Video A14B with LoRAs](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-video/lora.md) (`wan/v2.2-a14b/text-to-video/lora`): from $0.507 / run
- [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
- [MiniMax H3 Image to Video](https://doitong.com/developers/models/minimax/h3/image-to-video.md) (`minimax/h3/image-to-video`): from $0.05 / second

## Links

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