# Luma Dream Machine

> Generate video clips from your prompts using Luma Dream Machine v1.5


## Overview

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



## Pricing

- **Price**: $0.5 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_)
  - Examples: "A teddy bear in sunglasses playing electric guitar and dancing"

- **`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`



**Required Parameters Example**:

```json
{
  "prompt": "A teddy bear in sunglasses playing electric guitar and dancing"
}
```

**Full Example**:

```json
{
  "prompt": "A teddy bear in sunglasses playing electric guitar and dancing",
  "aspect_ratio": "16:9"
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  The generated video
  - Examples: {"url":"https://v2.fal.media/files/807e842c734f4127a36de9262a2d292c_output.mp4"}



**Example Response**:

```json
{
  "video": {
    "url": "https://v2.fal.media/files/807e842c734f4127a36de9262a2d292c_output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/luma-dream-machine \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A teddy bear in sunglasses playing electric guitar and dancing"
   }'
```

### 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",
    arguments={
        "prompt": "A teddy bear in sunglasses playing electric guitar and dancing"
    },
    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", {
  input: {
    prompt: "A teddy bear in sunglasses playing electric guitar and dancing"
  },
  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)
- [API Documentation](https://fal.ai/models/fal-ai/luma-dream-machine/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/luma-dream-machine)

### fal.ai Platform

- [Platform Documentation](https://fal.ai/docs/documentation)
- [Python Client](https://fal.ai/docs/api-reference/client-libraries/python)
- [JavaScript Client](https://fal.ai/docs/api-reference/client-libraries/javascript)

### Other agent-readable surfaces

This file covers one model. To find anything else:

- [Platform overview](https://fal.ai/llms.txt): Entry points and representative endpoint IDs
- [Documentation index](https://fal.ai/docs/llms.txt): Every documentation page
- [Full documentation text](https://fal.ai/docs/llms-full.txt): The whole documentation inlined
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`