StoryDiffusion

StoryDiffusion

StoryDiffusion is an innovative tool designed for generating consistent images and videos through a unique Consistent Self-Attention mechanism. This project was accepted as a Spotlight Presentation Paper at NeurIPS 2024.

Key Features:

• Comics Generation: Create engaging comic strips with ease.
• Image-to-Video Generation: Transform a sequence of images into a video, with results optimized for speed.
• Two-Stage Long Video Generation: Generate long videos by seamlessly transitioning between images, ensuring consistency and quality.
• Conditioned Video Generation: Create videos based on user-provided condition images.

Benefits:

• High-Quality Outputs: Capable of producing long and high-quality AIGC videos.
• User-Friendly: Easy to use with Jupyter notebooks and Gradio demos.
• Flexible Installation: Compatible with various systems and requires minimal GPU resources.

Highlights:

• Official implementation of the research paper "Consistent Self-Attention for Long-Range Image and Video Generation."
• Encourages responsible use of AI-generated content, with a focus on compliance with local laws.