AI-Video-Generator

AI Video Generation Engine

A custom, high-performance AI video generation engine built from scratch. No external AI dependencies - complete control over the generation process.

🚀 Features

Custom Neural Networks - Built-in implementations of attention, convolution, and diffusion layers
Multi-Modal Generation - Text-to-video, image-to-video, and audio-to-video generation
High Performance - GPU-accelerated processing with custom shaders
Multiple Formats - Support for MP4, WebM, AVI, MOV output formats
Real-time Progress - Live generation progress tracking
Quality Control - Multiple quality presets and custom configurations

🏗️ Architecture

AI-Video-Generator/
├── engine/
│   └── core/
│       ├── __init__.py           # Main engine exports
│       ├── video_engine.py       # Core video generation engine
│       ├── neural_processor.py   # Custom neural network implementations
│       └── render_pipeline.py    # High-performance rendering pipeline
└── example.py                    # Usage examples

🔥 Modern Engine Features

Neural Processing

Custom Attention Layers - Multi-head attention for temporal coherence
Diffusion Blocks - Advanced noise-to-video generation
Convolutional Layers - Optimized for video processing
Text Embeddings - Custom text-to-feature encoding

Rendering Pipeline

GPU Acceleration - Custom shader processors
Multiple Color Spaces - RGB, YUV, HSV, LAB support
Bit Depth Control - 8, 10, 12, 16-bit processing
Temporal Smoothing - Reduces frame flickering
Motion Blur - Realistic motion effects

Video Encoding

H.264/H.265 - Industry standard codecs
VP9/AV1 - Modern web-optimized formats
Quality Presets - From fast preview to lossless
Custom Bitrates - Full control over file size

🚀 Quick Start

import asyncio
from engine.core import VideoGenerationEngine, VideoConfig, VideoFormat

async def generate_video():
    # Initialize engine
    engine = VideoGenerationEngine()
    await engine.initialize()
    
    # Configure generation
    config = VideoConfig(
        width=1920,
        height=1080,
        fps=30,
        duration=10.0,
        format=VideoFormat.MP4,
        quality="high"
    )
    
    # Generate video
    result = await engine.generate_video_from_text(
        prompt="A futuristic city with flying cars",
        config=config
    )
    
    print(f"Video saved to: {result['video_path']}")

# Run
asyncio.run(generate_video())

🎯 Generation Types

Text-to-Video

result = await engine.generate_video_from_text(
    prompt="A dragon flying over mountains",
    config=config
)

Image-to-Video

result = await engine.generate_video_from_image(
    image_data=image_array,
    motion_prompt="Camera slowly zooms in",
    config=config
)

Audio-to-Video

result = await engine.generate_video_from_audio(
    audio_data=audio_array,
    visual_style="Abstract geometric patterns",
    config=config
)

⚡ Performance Features

Async Processing - Non-blocking generation
Progress Tracking - Real-time generation updates
Memory Efficient - Optimized frame buffering
Scalable - Handles from HD to 4K+ generation
GPU Optimized - Custom compute shaders

🎨 Quality Settings

# Ultra-high quality
config = VideoConfig(
    width=3840, height=2160,  # 4K
    fps=60,
    quality="ultra",
    bit_depth=12
)

# Fast preview
config = VideoConfig(
    width=1280, height=720,   # HD
    fps=24,
    quality="fast",
    bit_depth=8
)

🔧 Advanced Configuration

Custom Render Settings

from engine.core.render_pipeline import RenderSettings, ColorSpace

render_settings = RenderSettings(
    color_space=ColorSpace.YUV,
    bit_depth=10,
    compression="h265",
    enable_gpu_acceleration=True,
    enable_temporal_smoothing=True,
    motion_blur_strength=0.7
)

📊 Monitoring

async def progress_callback(progress):
    print(f"Stage: {progress.current_stage}")
    print(f"Progress: {progress.percentage:.1f}%")
    print(f"Frame: {progress.current_frame}/{progress.total_frames}")
    print(f"ETA: {progress.estimated_time_remaining:.1f}s")

🎬 Example Output

The engine generates high-quality videos with:

Smooth motion - Temporal consistency across frames
Rich details - High-resolution generation
Style control - Customizable visual aesthetics
Format flexibility - Multiple output options

🚀 Future Enhancements

💡 Why Custom Engine?

No Dependencies - Complete control over generation
Optimized Performance - Tailored for video generation
Proprietary Models - Custom AI architectures
Commercial Ready - No licensing restrictions
Scalable - From prototype to production

Built with ❤️ for next-generation AI video creation.

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