# Pika Text to Video Turbo (v2)

> Pika v2 Turbo creates videos from a text prompt with high quality output.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/pika/v2/turbo/text-to-video`
- **Model ID**: `fal-ai/pika/v2/turbo/text-to-video`
- **Category**: text-to-video
- **Kind**: inference
**Tags**: editing, effects, animation



## Pricing

- **Price**: $0.2 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 luxurious tea scene where a luxury brand teapot pours tea into an oversized luxury cup. Steam rises, creating an ethereal moment. camera dolly in"

- **`seed`** (`integer`, _optional_):
  The seed for the random number generator

- **`negative_prompt`** (`string`, _optional_):
  A negative prompt to guide the model Default value: `""`
  - Default: `""`

- **`aspect_ratio`** (`AspectRatioEnum`, _optional_):
  The aspect ratio of the generated video Default value: `"16:9"`
  - Default: `"16:9"`
  - Options: `"16:9"`, `"9:16"`, `"1:1"`, `"4:5"`, `"5:4"`, `"3:2"`, `"2:3"`

- **`resolution`** (`ResolutionEnum`, _optional_):
  The resolution of the generated video Default value: `"720p"`
  - Default: `"720p"`
  - Options: `"720p"`, `"1080p"`

- **`duration`** (`integer`, _optional_):
  The duration of the generated video in seconds Default value: `5`
  - Default: `5`



**Required Parameters Example**:

```json
{
  "prompt": "A luxurious tea scene where a luxury brand teapot pours tea into an oversized luxury cup. Steam rises, creating an ethereal moment. camera dolly in"
}
```

**Full Example**:

```json
{
  "prompt": "A luxurious tea scene where a luxury brand teapot pours tea into an oversized luxury cup. Steam rises, creating an ethereal moment. camera dolly in",
  "aspect_ratio": "16:9",
  "resolution": "720p",
  "duration": 5
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  The generated video
  - Examples: {"url":"https://storage.googleapis.com/falserverless/example_outputs/pika/pika_t2v_v2_turbo_output.mp4"}



**Example Response**:

```json
{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/example_outputs/pika/pika_t2v_v2_turbo_output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/pika/v2/turbo/text-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A luxurious tea scene where a luxury brand teapot pours tea into an oversized luxury cup. Steam rises, creating an ethereal moment. camera dolly in"
   }'
```

### 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/pika/v2/turbo/text-to-video",
    arguments={
        "prompt": "A luxurious tea scene where a luxury brand teapot pours tea into an oversized luxury cup. Steam rises, creating an ethereal moment. camera dolly in"
    },
    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/pika/v2/turbo/text-to-video", {
  input: {
    prompt: "A luxurious tea scene where a luxury brand teapot pours tea into an oversized luxury cup. Steam rises, creating an ethereal moment. camera dolly in"
  },
  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/pika/v2/turbo/text-to-video)
- [API Documentation](https://fal.ai/models/fal-ai/pika/v2/turbo/text-to-video/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/pika/v2/turbo/text-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)