Video Generation APIs

This project contains implementations for various video generation APIs.

Files

• openai_video.py - OpenAI video generation API
• runway_video.py - Runway Gen-4 API
• google_veo_video.py - Google Veo 3.1 API
• luma_video.py - Luma Dream Machine API
• meta_video.py - Meta Movie Gen API
• bytedance_video.py - ByteDance Seedance API

Setup

1. Install dependencies:

pip install openai python-dotenv requests google-genai

2. Create a .env file with your API keys:

OPENAI_API_KEY=your_key_here
RUNWAY_API_KEY=your_key_here
GOOGLE_API_KEY=your_key_here
LUMA_API_KEY=your_key_here
META_API_KEY=your_key_here
BYTEDANCE_API_KEY=your_key_here

Usage

Each file can be run independently or imported as a module.

OpenAI

from openai_video import generate_video_openai

video = generate_video_openai("A calico cat playing a piano on stage")
print(f"Video ID: {video.id}")

Runway

from runway_video import generate_video_runway

video = generate_video_runway(
    "A serene landscape with mountains and a river at sunset",
    turbo=True
)

Google Veo

from google_veo_video import generate_video_veo

video = generate_video_veo(
    "A bustling city street during a rainy night",
    aspect_ratio='16:9',
    duration=8
)

Luma

from luma_video import generate_video_luma

video = generate_video_luma(
    "A futuristic cityscape with flying cars",
    extensions=['motion_blur', 'color_grading']
)

Meta

from meta_video import generate_video_meta

video = generate_video_meta(
    "A dramatic scene of a spaceship entering a wormhole",
    duration=16
)

ByteDance

from bytedance_video import generate_video_bytedance

video = generate_video_bytedance(
    "A cartoon character dancing in a park",
    motion_style='natural'
)