BindWeave - Subject-Consistent Video Generation Framework
From single to multi-subject scenes with precise spatial relationships and interactions
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Built on MLLM-DiT architecture, combining multimodal large language models with diffusion transformers
Precisely capture individual subject movements, expressions, and scene atmosphere to generate high-quality character videos
Accurately parse complex spatial relationships and interactions between multiple subjects for natural, fluid multi-person scenes
Understand and generate natural interactions between characters and their environment for authentic dynamic scenes
Real examples from our video generation
Single Face Scene
Expression Showcase
Full Body Motion
Character Close-up
Scene Interaction
Full Body Pose
Multi-Face Interaction
Conversation Scene
Multi-Person Full Body
Team Collaboration
Synchronized Actions
Group Expression
Face-Object Interaction
Scene Props Interaction
Full Body Object Interaction
Daily Object Interaction
Complex Scene Interaction
Environment Object Blend