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

> Wan 2.1 בילד־צו־ווידעאָ מיט שטיצע פֿאַר קאַסטאַמייזטע LoRA, אָפּציאָנעלער פאַרקערטער פּלייבאַק און טורבאָ־מאָדע

אַנימירט אַן אַרײַנגעבענעם בילד (`image_url`) פֿון אַ `prompt`, מיט קאַסטאַמייזטע LoRA־ווייטס דורך `loras`. אַנדערע אָפּציעס אַרײַננעמען `reverse_video` צו שפּילן דעם קליפּ צוריק און `turbo_mode` פֿאַר שנעלער גענעראַציע. די רעזאָלוציע איז 480p אָדער 720p, `num_frames` 81-100, פֿריים־קורס 5-24, און אַספּעקט־פֿאַרהעלטעניש auto, 16:9, 9:16 אָדער 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/yi/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 |  |  | טעקסט־אינסטרוקציעס וואָס פירן ווידעא־גענערירונג. |
| `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` |  | נעגאַטיווער פּראָמפּט געווענדט בײַ גענערירן אַ ווידעא. |
| `image_url` | `image` | string (image URL) | yes |  |  | URL פון דער מקור־בילד; די אויסגעקליבענע אַספּעקט־פאַרהעלטעניש באַשטימט צי פּרעפּראָסעסינג איז נייטיק: אַ מיסמאַטש צינדט אָן רעזיזינג נאכגעפאָלגט דורך אַ צענטער־קראָפּ. |
| `num_frames` |  | integer \| null | no | `81` | 81 – 100 | ראַם־צאָל פֿאַר גענערירונג, פֿון 81 ביז 100 אַרײַנגערעכנט. |
| `frames_per_second` |  | integer \| null | no | `16` | 5 – 24 | די ראַם־אָפטקייט פֿונעם גענערירטן ווידעא אין ראַמען פּער סעקונדע, פֿון 5 ביז 24. |
| `seed` |  | integer \| null | no |  |  | סיד וואָס מאכט גענערירונג רעפּראָדוצירבאַר. אויב מען שטעלט עס אויף None, ווערט אַ סיד ראַנדאָם אויסגעקליבן. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | רעזולטאַט־ווידעא־רעזאָלוציע, אָדער 480p אָדער 720p. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | צאָל סאַמפּלינג־טריט, וואָס האַנדלט מער פּראַסעסירונג־צײַט פֿאַר בעסערע קוואַליטעט ווען די צאָל שטייגט. |
| `guide_scale` |  | number | no | `5` | 1 – 10 | קלאַסיפֿייער־פֿרײַע גיידאַנס־שטאַרקייט, וואָס האַנדלט מעגלעכע קוואַליטעט־פֿאַרלוסט פֿאַר נעענטערן פּראָמפּט־אָפּקלײַב ווען די סקייל שטייגט. |
| `shift` |  | number | no | `5` | 1 – 10 | שיפֿט־באַשטעטיקונג געווענדט בײַ גענערירן ווידעא. |
| `enable_safety_checker` |  | boolean | no | `false` |  | זיכערקייט־קאָנטראָל־שאַלטער, וועמענס אויסגעלאָשענע באַשטעטיקונג דאַרף חשבון־אויטאָריזאַציע. אָן דער אויטאָריזאַציע ווערט יעדער בקשה אָפּגעקוקט אומאָפּהענגיק פֿון דער באַשטעטיקונג; true אַקטיוויזירט דעם קאָנטראָלער. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | קאָנטראָלירט צי פּראָמפּט־יקספּאַנשאַן איז אַקטיווירט. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `auto`, `16:9`, `9:16`, `1:1` | ברייט־צו־הייך פֿאַרהעלטעניש פֿאַר דער רעזולטאַט־ווידעא. |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | LoRA־געוויכטן געווענדט בעת inference. |
| `loras[].path` |  | string | yes |  |  | אָרט פֿון די LoRA־וואָגען, ספּעציפֿיצירט ווי אַ URL אָדער פּאַט. |
| `loras[].weight_name` |  | string \| null | no |  |  | LoRA־וואָג־נאָמען, נייטיק נאָר ווען אַ Hugging Face רעפּאָזיטאָריע אַנטהאַלט מער ווי 1 safetensors־פֿײַל. דער נאָמען ווערט גענוצט נאָר ווען `path` אידענטיפֿיצירט אַזאַ רעפּאָזיטאָריע. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | מולטיפּליקאַטאָר אָנגעווענדט אויף דער LoRA־וואָג איידער זי ווערט צונויפֿגעמישט מיטן באַזע־מאָדעל. |
| `reverse_video` |  | boolean | no | `false` |  | ווידעא־אומקער־באַשטעטיקונג; true דרייט די פּלייבאַק איבער. |
| `turbo_mode` |  | boolean | no | `true` |  | באַשטעטיקונג פֿאַר שנעלער ווידעא־גענערירונג. אַקטיווירן עס פֿאַרקירצט די גענערירונג־צײַט אָן אַ באַמערקבאַרער פֿאַרלוסט אין וויזועלער קוואַליטעט. |

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} | ווידעא־פֿײַל געשאַפֿן דורך גענערירונג. |
| `seed` | integer | סיד־ווערט וואָס ווערט געווענדט בעת גענערירונג. |

## 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