# Wan-2.1 Image-to-Video with LoRAs API

> Wan 2.1 íomhá-go-físeán le tacaíocht LoRA saincheaptha, athsheinm droim ar ais roghnach agus mód turbo

Beochann sé íomhá ionchuir (`image_url`) ó `prompt`, le meáchain LoRA saincheaptha trí `loras`. I measc na roghanna eile tá `reverse_video` chun an gearrthóg a sheinm siar agus `turbo_mode` le haghaidh giniúna níos tapúla. Is é an taifeach 480p nó 720p, `num_frames` 81-100, ráta fráma 5-24, agus cóimheas gné auto, 16:9, 9:16 nó 1:1.

- Model id: `wan-i2v-lora`
- Made by: Alibaba
- Category: Image to Video
- Output: video
- Price: $0.75 / video (cheapest run $0.75 (750 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan-i2v-lora`
- Quote: `POST https://api.doitong.ru/v1/quote/wan-i2v-lora`
- Docs page: https://doitong.com/ga/developers/models/wan-i2v-lora

## Pricing

Price: **$0.75 / video**. Billed once per generated video.

The full example input below costs $0.75 = 750 API credits (1 video × 750 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-i2v-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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Treoracha téacs a threoraíonn giniúint físeáin. |
| `negative_prompt` |  | string | no | `bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards` |  | Leid dhiúltach a chuirtear i bhfeidhm agus físeán á ghiniúint. |
| `image_url` | `image` | string (image URL) | yes |  |  | URL na híomhá foinse, agus an cóimheas gné roghnaithe ag cinneadh an bhfuil réamhphróiseáil riachtanach: spreagann neamhréir athmhéidiú agus barrghearradh lárnach. |
| `num_frames` |  | integer \| null | no | `81` | 81 – 100 | Líon frámaí don ghiniúint, ó 81 go 100 go huile. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 24 | Ráta frámaí an fhíseáin ghinte i bhfrámaí sa soicind, idir 5 agus 24. |
| `seed` |  | integer \| null | no |  |  | Síol a fhágann giniúint in-atáirgthe. Má shocraítear é go None, roghnaítear síol go randamach. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Taifeach físeáin aschuir, 480p nó 720p. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | Líon na gcéimeanna samplála, áit a mhalartaítear am próiseála níos faide ar cháilíocht níos fearr de réir mar a mhéadaíonn an líon. |
| `guide_scale` |  | number | no | `5` | 1 – 10 | Neart treorach saor ó aicmitheoir, áit a mhalartaítear caillteanas cáilíochta féideartha ar mheaitseáil níos dlúithe leis an leid de réir mar a mhéadaíonn an scála. |
| `shift` |  | number | no | `5` | 1 – 10 | Socrú aistrithe a chuirtear i bhfeidhm agus an físeán á ghiniúint. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Lascthrealamh seiceála sábháilteachta a éilíonn údarú cuntais nuair atá sé múchta. Gan an t-údarú sin, seiceáiltear gach iarratas beag beann ar an socrú; cumasaíonn true an seiceálaí. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Rialaíonn sé an bhfuil leathnú na leide cumasaithe. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `auto`, `16:9`, `9:16`, `1:1` | Cóimheas leithead-go-airde don fhíseán aschuir. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | Meáchain LoRA a chuirtear i bhfeidhm le linn tátail. |
| `loras[].path` |  | string | yes |  |  | Suíomh na meáchain LoRA, sonraithe mar URL nó cosán. |
| `loras[].weight_name` |  | string \| null | no |  |  | Ainm meáchain LoRA, riachtanach amháin nuair atá níos mó ná comhad safetensors amháin i stór Hugging Face. Ní úsáidtear an t-ainm seo ach nuair a shainaithníonn `path` stór den sórt sin. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Iolraitheoir a chuirtear i bhfeidhm ar mheáchan an LoRA sula gcumasaítear é sa tsamhail bhunúsach. |
| `reverse_video` |  | boolean | no | `false` |  | Scorán aisiompaithe físeáin; aisiompaíonn true an athsheinm. |
| `turbo_mode` |  | boolean | no | `true` |  | Scorán giniúna físeáin níos tapúla. Laghdaíonn a chumasú am giniúna gan chaillteanas suntasach i gcáilíocht amhairc. |

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-i2v-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-i2v-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-i2v-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-i2v-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-i2v-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": 750,
    "usd": "0.75",
    "charged": 750,
    "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
    },
    "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} | Comhad físeáin a tháirgtear leis an nginiúint. |
| `seed` | integer | Luach síl a chuirtear i bhfeidhm le linn giniúna. |

## Related models

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- [Seedance 2.0 Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/image-to-video.md) (`bytedance/seedance-2.0/image-to-video`): from $0.141 / second

## Links

- HTML page: https://doitong.com/developers/models/wan-i2v-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-i2v-lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan-i2v-lora
