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

> A14B image-to-video, dat Wan 2.2 LoRA-Gewiichter akzeptéiert an de Clip ëmgedréint ofspille kann

Animéiert en `image_url` no engem `prompt`, mat personaliséierte LoRA-Gewiichter iwwer `loras`. En optionalen `end_image_url` fixéiert de leschte Frame, an `reverse_video` spillt d'Resultat no hannen of. `num_frames` läit tëscht 17 an 161, `resolution` tëscht 480p an 720p, an d'Aspektverhältnis kann auto, 16:9, 9:16 oder 1:1 sinn.

- 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/lb/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 vum Quellbild; dat gewielte Bildformat bestëmmt, ob Virveraarbechtung néideg ass: Bei enger Ofwäichung gëtt d'Bild skaléiert an duerno zentral gecropt. |
| `prompt` |  | string | yes |  |  | Textinstruktiounen, déi d'Video-Generatioun steieren. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Framezuel fir d'Generatioun, am inklusiven Beräich vun 17–161. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Frame-Rate vum generéierte Video, mat Wäerter vun 4 bis 60; d'Astellung `adjust_fps_for_interpolation` op false behält dëse Rate onverännert. Bei Interpolatioun an `adjust_fps_for_interpolation` op true (Standard) multiplizéiert een dëse Rate mat 1 plus der Zuel vun interpoléierte Frames, fir den definitiven FPS ze kréien. Beispill: 16 FPS mat 1 interpoléierte Frame ginn 32 FPS. |
| `negative_prompt` |  | string | no | `` |  | Negative Prompt bei der Generatioun vun engem Video. |
| `seed` |  | integer \| null | no |  |  | Seed, deen d'Generatioun reproduzéierbar mécht. Wann et op None gesat gëtt, gëtt e Seed zoufälleg gewielt. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Opléisung vum Output-Video: 480p, 580p oder 720p. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | Proportioune vum generéierte Video, automatesch aus dem Input-Bild ausgewielt, wann op 'auto' gesat. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Unzuel vun de Sampling-Schrëtt; méi Schrëtt bedeite méi laang Veraarbechtung, awer besser Qualitéit. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Input-Sécherheetskontroll virun der Veraarbechtung, déi nëmmen autoriséiert Konten ausschalte kënnen. Ufroen ouni Autorisatioun ginn ëmmer kontrolléiert; soss aktivéiert true d'Kontroll. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Steiert d'Sécherheetskontroll vum generéierte Video; true aktivéiert eng Kontroll no der Generatioun. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Erlaabt engem Large Language Modell, de Prompt mat Detailer unzereecheren. Dës Erweiderung léisst d'Bedeitung vum Prompt onverännert. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Beschleunegungsastellung, mat 'regular' als recommandéierter Wiel. Méi Beschleunegung reduzéiert d'Qualitéit, fir d'Generatiounszäit ze verkierzen. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Classifier-free Guidance-Stäerkt; mat steigender Skala gëtt méigleche Qualitéitsverloscht géint eng méi genee Prompt-Entspriechung ofgewiicht. |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | Guidance-Skala, déi steiert, wéi genee de Modell dem Prompt an der zweeter Etapp follegt. |
| `shift` |  | number | no | `5` | 1 – 10 | Video-Shift-Astellung mat engem erlaabte Beräich vun 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Frame-Interpolatiounsastellung: wielt None, fir d'Interpolatioun ze iwwersprangen, oder gitt de Modell un, deen se ausféiere soll. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Setzt 0–4 interpoléiert Frames an all Lach tëscht zwee generéierte Frames an. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Schalter fir d'Frame-Rate-Adaptatioun: false behält den ugiwwene FPS, wärend true en duerch 1 plus d'Zuel vun interpoléierte Frames skaliéiert. Also ginn aus 16 FPS bei 1 interpoléierte Frame 32 FPS, wann d'Adaptatioun aktiv ass. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Qualitéitsastellung vum Output-Video, déi mat steigender Astellung méi grouss Dateien géint besser Visualiséierung tauscht. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Video-Schreifmodus, bei deem balanced e Kompromëss tëscht Geschwindegkeet a Qualitéit bitt. Wielt small fir déi klengst Dateien an déi luesst Schreifgeschwindegkeet; méi séiert Schreiwe liwwert Resultater éischter, erstellt awer méi grouss Dateien. |
| `loras` |  | array of object {path, weight_name, scale, transformer} | no | `[]` |  | LoRA-Gewiichter, déi während der Inferenz applizéiert ginn. |
| `loras[].path` |  | string | yes |  |  | Plaz vun de LoRA-Gewiichter, uginn als URL oder Pad. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA-Gewiichtsnumm, nëmmen erfuerderlech, wann e Hugging Face Repository méi wéi 1 safetensors-Datei enthält. Dësen Numm gëtt nëmme benotzt, wann `path` esou e Repository identifizéiert. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Multiplikator, deen op d'LoRA-Gewiicht applizéiert gëtt, ier et an de Basismodell zesummegefouert gëtt. |
| `loras[].transformer` |  | enum (string) | no | `high` | `high`, `low`, `both` | Transformer-Zil fir d'LoRA-Gewiicht. Wielt 'high' fir den Transformer mat héijem Kaméidi, 'low' fir deen mat nidderegem Kaméidi oder 'both', fir d'Gewiicht a béid Transformer ze lueden. |
| `reverse_video` |  | boolean | no | `false` |  | Video-Reverséierungs-Schalter; true dréint d'Ofspillung ëm. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | URL op d'Ennbild. |

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} | Video-Datei, déi duerch d'Generatioun erstallt gouf. |
| `prompt` | string | Textprompt, dee benotzt gouf, fir de Video ze generéieren. |
| `seed` | integer | Seed-Wäert, deen während der Generatioun applizéiert gouf. |

## 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