# Wan-2.1 Image-to-Video with LoRAs

> Add custom LoRAs to Wan-2.1 is a image-to-video model that generates high-quality videos with high visual quality and motion diversity from images


## Overview

- **Endpoint**: `https://fal.run/fal-ai/wan-i2v-lora`
- **Model ID**: `fal-ai/wan-i2v-lora`
- **Category**: image-to-video
- **Kind**: inference
**Tags**: image to video, motion, lora



## Pricing

- **Price**: $0.75 per videos

For more details, see [fal.ai pricing](https://fal.ai/pricing).

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:


- **`prompt`** (`string`, _required_):
  The text prompt to guide video generation.
  - Examples: "Cars race in slow motion."

- **`negative_prompt`** (`string`, _optional_):
  Negative prompt for video generation. Default value: `"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"`
  - Default: `"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"`
  - Examples: "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"

- **`image_url`** (`string`, _required_):
  URL of the input image. If the input image does not match the chosen aspect ratio, it is resized and center cropped.
  - Examples: "https://storage.googleapis.com/falserverless/gallery/car_720p.png"

- **`num_frames`** (`integer`, _optional_):
  Number of frames to generate. Must be between 81 to 100 (inclusive). If the number of frames is greater than 81, the video will be generated with 1.25x more billing units. Default value: `81`
  - Default: `81`
  - Range: `81` to `100`

- **`frames_per_second`** (`integer`, _optional_):
  Frames per second of the generated video. Must be between 5 to 24. Default value: `16`
  - Default: `16`
  - Range: `5` to `24`

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility. If None, a random seed is chosen.

- **`resolution`** (`ResolutionEnum`, _optional_):
  Resolution of the generated video (480p or 720p). 480p is 0.5 billing units, and 720p is 1 billing unit. Default value: `"720p"`
  - Default: `"720p"`
  - Options: `"480p"`, `"720p"`

- **`num_inference_steps`** (`integer`, _optional_):
  Number of inference steps for sampling. Higher values give better quality but take longer. Default value: `30`
  - Default: `30`
  - Range: `2` to `40`

- **`guide_scale`** (`float`, _optional_):
  Classifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality. Default value: `5`
  - Default: `5`
  - Range: `1` to `10`

- **`shift`** (`float`, _optional_):
  Shift parameter for video generation. Default value: `5`
  - Default: `5`
  - Range: `1` to `10`

- **`enable_safety_checker`** (`boolean`, _optional_):
  If set to true, the safety checker will be enabled.
  - Default: `false`
  - Examples: true

- **`enable_prompt_expansion`** (`boolean`, _optional_):
  Whether to enable prompt expansion.
  - Default: `false`
  - Examples: false

- **`aspect_ratio`** (`AspectRatioEnum`, _optional_):
  Aspect ratio of the output video. Default value: `"16:9"`
  - Default: `"16:9"`
  - Options: `"auto"`, `"16:9"`, `"9:16"`, `"1:1"`

- **`loras`** (`list<LoraWeight>`, _optional_):
  LoRA weights to be used in the inference.
  - Default: `[]`
  - Array of LoraWeight

- **`reverse_video`** (`boolean`, _optional_):
  If true, the video will be reversed.
  - Default: `false`

- **`turbo_mode`** (`boolean`, _optional_):
  If true, the video will be generated faster with no noticeable degradation in the visual quality. Default value: `true`
  - Default: `true`



**Required Parameters Example**:

```json
{
  "prompt": "Cars race in slow motion.",
  "image_url": "https://storage.googleapis.com/falserverless/gallery/car_720p.png"
}
```

**Full Example**:

```json
{
  "prompt": "Cars race in slow motion.",
  "negative_prompt": "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",
  "image_url": "https://storage.googleapis.com/falserverless/gallery/car_720p.png",
  "num_frames": 81,
  "frames_per_second": 16,
  "resolution": "720p",
  "num_inference_steps": 30,
  "guide_scale": 5,
  "shift": 5,
  "enable_safety_checker": true,
  "enable_prompt_expansion": false,
  "aspect_ratio": "16:9",
  "loras": [],
  "turbo_mode": true
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  The generated video file.
  - Examples: {"url":"https://storage.googleapis.com/falserverless/gallery/wan-i2v-example.mp4"}

- **`seed`** (`integer`, _required_):
  The seed used for generation.



**Example Response**:

```json
{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/gallery/wan-i2v-example.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/wan-i2v-lora \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "Cars race in slow motion.",
     "image_url": "https://storage.googleapis.com/falserverless/gallery/car_720p.png"
   }'
```

### Python

Ensure you have the Python client installed:

```bash
pip install fal-client
```

Then use the API client to make requests:

```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/wan-i2v-lora",
    arguments={
        "prompt": "Cars race in slow motion.",
        "image_url": "https://storage.googleapis.com/falserverless/gallery/car_720p.png"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

### JavaScript

Ensure you have the JavaScript client installed:

```bash
npm install --save @fal-ai/client
```

Then use the API client to make requests:

```javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/wan-i2v-lora", {
  input: {
    prompt: "Cars race in slow motion.",
    image_url: "https://storage.googleapis.com/falserverless/gallery/car_720p.png"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);
```


## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/fal-ai/wan-i2v-lora)
- [API Documentation](https://fal.ai/models/fal-ai/wan-i2v-lora/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/wan-i2v-lora)

### fal.ai Platform

- [Platform Documentation](https://docs.fal.ai)
- [Python Client](https://docs.fal.ai/clients/python)
- [JavaScript Client](https://docs.fal.ai/clients/javascript)