Unparalleled character consistency and realism

• Generates videos up to 30 seconds long with incredible character consistency in face, clothing, body type
• Characters maintain perfect consistency between shots and scenes, enabling believable AI videos and comics
• Adheres to reality and physics far better than previous models - e.g. no characters suddenly appearing, objects passing through solid surfaces, etc.
• Lifelike movement and expressive facial animations - characters appear animated vs wooden in other AI videos

Innovative approach using story splitting and consistent self-attention

• Story splitting breaks a story into multiple text prompts describing parts of the narrative
• Prompts are processed simultaneously to produce a sequence of images depicting the story
• Consistent self-attention ensures each image shares key attributes (e.g. character height, shirt color) to maintain visual coherence
• A motion predictor model then animates transitions between the generated images to create fluid video

Versatile applications from realistic to animated videos

• Generates realistic videos of diverse scenes - e.g. handheld tourist footage with natural camera shake, moving and static elements
• Excels at anime-style animation, enabling full AI-generated animated films
• Can consistently include multiple characters across different scenes
• Turns real reference images of people into graphic novel animations

Highly efficient architecture achieves SOTA results with 1250x less compute

• Trained on just 8 GPUs vs 10,000 for SOTA SORA model from Google yet achieves comparable realism, consistency and fluidity
• Indicates an extremely efficient architecture that democratizes access to high-quality AI video generation
• Currently open source but lacks user interface - requires technical setup via GitHub or HuggingFace demo