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

> Wan 2.1 ᡩᠠᠪᡠᠨ ᠵᠠᠯᠠᠨ ᠪᡠᠴᡝᠩᡤᡝᠨᡳ ᠵᠠᠯᠠᠨ᠈ ᠮᠠᠨᡳ LoRA ᠠᠰᡥᠠᠨᠠᠮᠪᡳ᠈ ᠵᡠᠸᡝ ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠮᠪᡳ ᡳᠯᡳ turbo mode ᠪᡳ

ᠵᠠᠯᠠᠨ ᡳ `image_url` ᠪᡝ `prompt` ᡳ ᠵᠠᠯᠠᠨ ᠠᠰᡥᠠᠨᠠᠮᠪᡳ᠈ `loras` ᡩᡝ ᠮᠠᠨᡳ LoRA ᡳ ᠵᡠᠯᡤᠠᠯᠠᠨ ᠪᡳ᠉ `reverse_video` ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠸᡝ ᠶᠠᠪᡠᠮᠪᡳ᠈ `turbo_mode` ᠵᠠᠯᠠᠨ ᠵᡠᠯᡤᠠᠯᠠᠮᡝ ᡶᡠᠯᡤᡳᠶᠠᠮᠪᡳ᠉ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ 480p ᡳᠯᡳ 720p᠈ `num_frames` 81-100᠈ ᠮᡠᠰᡝ 5-24᠈ ᠵᠠᠯᠠᠨ 16:9᠈ 9:16 ᡳᠯᡳ 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.com/v1/run/wan-i2v-lora`
- Quote: `POST https://api.doitong.com/v1/quote/wan-i2v-lora`
- Docs page: https://doitong.com/mnc/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.com/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 |  |  | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ ᡳ ᡥᡡᠯᠠᠨ᠉ |
| `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` |  | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᠠᠯᠠᠮᡝ ᠮᡠᠰᡝ ᡥᡡᠯᠠᠨ᠉ |
| `image_url` | `image` | string (image URL) | yes |  |  | ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᠠᠮᡤᠠᠨ ᡳ ᠵᡠᠰᡝ URL᠈ ᠰᠠᡳᠨ ᠵᡠᠰᡝ ᡳ ᠵᠠᠯᠠᠨ ᠮᡝᠨᡳ ᠵᡠᠰᡝ ᠠᠰᡠᡵᠠᠮᡝ ᠠᡴᡡ ᠪᡳᠴᡳ ᠵᡠᠰᡝᠨ ᠵᠠᠯᠠᠨ ᠪᠠ ᠵᡠᠰᡝ ᡳ ᡩᡠᠨ ᡩᡝ ᠵᡠᠰᡝ᠉ |
| `num_frames` |  | integer \| null | no | `81` | 81 – 100 | ᠪᡠᠶᡝᠮᡝ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳᠨᡠᠮᠪᡳ᠂ 81 ᡩᡝᠴᡳ 100 ᡩᡝ ᠪᡳ᠉ |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 24 | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᠵᠠᠰᡳᠨ ᠰᡝᡴᡠᠨ ᡩᡝ᠂ 5 ᡩᡝᠴᡳ 24 ᡩᡝ ᠪᡳ᠉ |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠰᠠᡳᠨ ᠪᡳᠰᡳᠮᡝ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ None ᡩᡝ ᠪᡳᠮᡝ ᠪᠠᠨᠵᡳᠨ ᡤᠣᠯᠣᠮᡝ᠉ |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᠠᠨ, 480p ᠠᠮᠠᠯᡤᠠ 720p᠉ |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | ᠰᠠᠮᡝᠨᡳ ᠵᠠᡴᡠᠨᠨᡳ ᠵᠠᠯᠠᠨ, ᠮᡠᠯᡥᡝ ᠵᠠᠯᠠᠨᡩᠣᠮᡝᠨᡳ ᠵᡝᠪᡝᠯᡝ ᠵᡠᠯᡝᠮᡝ. |
| `guide_scale` |  | number | no | `5` | 1 – 10 | Classifier-free guidance ᡩᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝᠮᡝ; ᠵᠠᠯᠠᠨ ᠣᠯᡥᠠ ᠣᠴᡳ ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᡝᠯᡳᠨ ᠵᡠᠯᡝᠮᡝ. |
| `shift` |  | number | no | `5` | 1 – 10 | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠵᡠᠯᡝ shift᠉ |
| `enable_safety_checker` |  | boolean | no | `false` |  | ᠠᠮᡠᠯᠠᠨ ᡶᡳᠯᡝᠮᡝᠨᡳ ᠵᠠᠰᡳᠮᡝ. ᠪᡝ ᠣᠴᡳ ᠪᠠᠯᠠᠨᠰᡳᠨᡳ ᠪᠠᠨᠵᡳᠨ ᠠᠰᡠᠮᠪᡳ. ᡝᡵᡝ ᠪᠠᠨᠵᡳᠨ ᠠᡴᡡ ᠣᠴᡳ ᠵᠠᡴᡠᠨ ᡶᡝᠨᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᡝ ᠪᠠᠨᠵᡳᠮᡝ; true ᠪᡝ ᠵᠠᠰᡳᠮᡝ. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | ᡥᡡᠯᠠᠨ ᠪᡝ ᡩᡝᠯᡝᠪᡠᡵᡝ ᠪᡝ ᡝᠪᡠᡵᡝ ᡝᠪᡠᡵᠠᡴᡡ ᠪᡝ ᡠᠵᡳᠮᠪᡳ. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `auto`, `16:9`, `9:16`, `1:1` | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᠠᠨ ᡳ ᠶᠠᠪᡠᠮᠪᡳ᠉ |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | ᠵᡝᠯᡤᡳᠶᡝᠨ ᡩᡝ ᡤᠠᠶᠠᠮᡝ ᠪᠠᡳᠴᡳᠨᠠᠮᠪᡳ᠉ |
| `loras[].path` |  | string | yes |  |  | LoRA ᡳ ᡥᡡᠨᡩᡠᠨ ᡳ ᠪᠠ ᠪᡝ URL ᡝᠪᡨᡝᠯᡳ ᠵᡠᡤᡡᠨ ᠣᠪᡠᠮᡝ ᡨᠣᡴᡨᠣᠪᡠᡵᡝ᠈ |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA ᡠᠵᡝᠨ ᡳ ᡤᡝᠪᡠ᠂ Hugging Face ᡳ ᠠᠰᡥᡠᠨ ᡩᡝ 1 ᠣᠩᡤᠣᠯᠣ safetensors ᡶᡳᠯᡝ ᠪᡳᠰᡳᡵᡝ ᡩᡠᠪᡝᡩᡝ ᠪᠠᡳᡨᠠᠯᠠᡵᠠ᠉ ᡝᡵᡝ ᡤᡝᠪᡠ ᠪᡝ `path` ᡨᡝᡵᡝ ᡤᡝᠰᡝ ᠠᠰᡥᡠᠨ ᠪᡝ ᡨᡠᠸᠠᠪᡠᡵᡝ ᡩᡠᠪᡝᡩᡝ ᠪᠠᡳᡨᠠᠯᠠᡵᠠ᠉ |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | LoRA ᡳ ᡥᡡᠨᡩᡠᠨ ᠪᡝ ᡩᠠ ᠮᠣᠳᡝᠯ ᡩᡝ ᠠᠴᠠᠪᡠᡵᡝ ᠣᠩᡤᠣᠯᠣ ᠪᠠᡳᡨᠠᠯᠠᡵᠠ ᡩᠠᡥᡳᠨ᠈ |
| `reverse_video` |  | boolean | no | `false` |  | ᠰᡠᠨᡤᠠ ᠪᠠᠨᠵᡳᠮᡝ ᡳ ᠪᡠᠮᡝᠯᡝᠨ᠂ true ᠪᡠᠮᡝᠯᡝᠨ ᠵᠠᠯᠠᠮᠪᡳ᠉ |
| `turbo_mode` |  | boolean | no | `true` |  | ᠰᡠᠨᡤᠠ ᠵᠠᠯᠠᠮᠪᡳᠨᠠ ᠵᠠᠰᡳᠮᡝᠨ᠂ ᠰᡠᠮᠪᡝ ᠣᠮᠣᡵᠣᠮᠪᡳ᠉ |

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.com/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.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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.com/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.com/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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ᠉ |
| `seed` | integer | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠶᠠᠪᡠᡥᠠᠨ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ |

## Related models

- [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
- [Seedance 2.0 Fast Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/image-to-video.md) (`bytedance/seedance-2.0/fast/image-to-video`): from $0.113 / second
- [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.com/v1/models/wan-i2v-lora