sora-ai-video 1767580.963.83
High-quality integration for https://supermaker.ai/video/sora-ai-video/
Requires Python: >=3.6

# sora-ai-video

`sora-ai-video` is a Python library designed to demonstrate and integrate with the capabilities showcased on the supermaker.ai/video/sora-ai-video/ platform. It provides a simplified interface for interacting with and understanding the potential of AI-driven video generation.

## Installation

You can install `sora-ai-video` using pip:
bash
pip install sora-ai-video

## Basic Usage

Here are a few examples demonstrating how to use the `sora-ai-video` library. Please note that these examples are simplified representations and might require further configuration or access keys depending on the actual implementation and the features offered by supermaker.ai/video/sora-ai-video/.

**Example 1: Generating a Short Video Description**

This example simulates generating a short video description based on a text prompt.
python
from sora_ai_video import SoraAI

sora = SoraAI()

prompt = "A fluffy cat playing with a ball of yarn in a sunlit room."
description = sora.generate_video_description(prompt)

print(f"Video Description: {description}")

**Example 2: Checking Video Generation Status**

This example simulates checking the status of a video generation task.
python
from sora_ai_video import SoraAI

sora = SoraAI()

task_id = "1234567890" # Replace with a valid task ID
status = sora.check_video_generation_status(task_id)

print(f"Task Status: {status}")

if status == "completed":
  print("Video generation successful!")
elif status == "pending":
  print("Video is still being generated.")
else:
  print("Error during video generation.")

**Example 3: Simulating Style Transfer on a Video**

This example simulates applying a specific style to an existing video.
python
from sora_ai_video import SoraAI

sora = SoraAI()

video_path = "path/to/your/video.mp4"
style = "Anime"
new_video_path = sora.apply_style_transfer(video_path, style)

print(f"Styled video saved to: {new_video_path}")

**Example 4: Generating Storyboard Frames from a Script**

This example simulates creating storyboard frames based on a provided script.
python
from sora_ai_video import SoraAI

sora = SoraAI()

script = """
Scene 1: A spaceship approaches a distant planet.
Scene 2: An astronaut steps onto the alien surface.
Scene 3: The astronaut discovers a strange artifact.
"""

storyboard_frames = sora.generate_storyboard(script)

for i, frame in enumerate(storyboard_frames):
    print(f"Frame {i+1}: {frame}") #Frame will be a description of the image. In a real implementation, it could return an image.

## Features

*   **Video Description Generation:** Generate compelling descriptions for video content.
*   **Status Monitoring:** Track the progress of video generation tasks.
*   **Style Transfer (Simulated):** Apply different artistic styles to videos.
*   **Storyboard Generation:** Create storyboard frames from a script for pre-visualization.
*   **Simplified API:** Easy-to-use functions for common video-related tasks.
*   **Integration with Supermaker.ai:** Designed to work in conjunction with the sora-ai-video platform.

## License

MIT License

This project is a gateway to the sora-ai-video ecosystem. For advanced features and full capabilities, please visit: https://supermaker.ai/video/sora-ai-video/