# Luma Ray 2 Flash (Image to Video)

> Ray2 Flash is a fast video generative model capable of creating realistic visuals with natural, coherent motion.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/luma-dream-machine/ray-2-flash/image-to-video`
- **Model ID**: `fal-ai/luma-dream-machine/ray-2-flash/image-to-video`
- **Category**: image-to-video
- **Kind**: inference
**Tags**: motion, transformation



## Pricing

- **Price**: $0.2 per 5 seconds

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_)
  - Examples: "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage."

- **`image_url`** (`string`, _optional_):
  Initial image to start the video from. Can be used together with end_image_url.
  - Examples: "https://fal.media/files/elephant/8kkhB12hEZI2kkbU8pZPA_test.jpeg"

- **`end_image_url`** (`string`, _optional_):
  Final image to end the video with. Can be used together with image_url.

- **`aspect_ratio`** (`AspectRatioEnum`, _optional_):
  The aspect ratio of the generated video Default value: `"16:9"`
  - Default: `"16:9"`
  - Options: `"16:9"`, `"9:16"`, `"4:3"`, `"3:4"`, `"21:9"`, `"9:21"`

- **`loop`** (`boolean`, _optional_):
  Whether the video should loop (end of video is blended with the beginning)
  - Default: `false`

- **`resolution`** (`ResolutionEnum`, _optional_):
  The resolution of the generated video (720p costs 2x more, 1080p costs 4x more) Default value: `"540p"`
  - Default: `"540p"`
  - Options: `"540p"`, `"720p"`, `"1080p"`

- **`duration`** (`DurationEnum`, _optional_):
  The duration of the generated video Default value: `"5s"`
  - Default: `"5s"`
  - Options: `"5s"`, `"9s"`



**Required Parameters Example**:

```json
{
  "prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage."
}
```

**Full Example**:

```json
{
  "prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage.",
  "image_url": "https://fal.media/files/elephant/8kkhB12hEZI2kkbU8pZPA_test.jpeg",
  "aspect_ratio": "16:9",
  "resolution": "540p",
  "duration": "5s"
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  URL of the generated video
  - Examples: {"url":"https://v3.fal.media/files/zebra/9aDde3Te2kuJYHdR0Kz8R_output.mp4"}



**Example Response**:

```json
{
  "video": {
    "url": "https://v3.fal.media/files/zebra/9aDde3Te2kuJYHdR0Kz8R_output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/luma-dream-machine/ray-2-flash/image-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage."
   }'
```

### 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/luma-dream-machine/ray-2-flash/image-to-video",
    arguments={
        "prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage."
    },
    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/luma-dream-machine/ray-2-flash/image-to-video", {
  input: {
    prompt: "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage."
  },
  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/luma-dream-machine/ray-2-flash/image-to-video)
- [API Documentation](https://fal.ai/models/fal-ai/luma-dream-machine/ray-2-flash/image-to-video/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/luma-dream-machine/ray-2-flash/image-to-video)

### 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)