BindWeave
Generates subject-consistent videos from text prompts and reference images, preserving identity and consistency across frames for single or multiple subjects.
A unified MLLM-DiT video generation model that creates subject-consistent videos from text prompts and reference images, solving the problem of maintaining identity and consistency across frames for single or multiple subjects. It targets creative professionals such as filmmakers, content creators, and educators, as well as businesses needing advertising, product demos, and localized video content. The model is delivered as an API, integrating cross-modal reasoning and transformer-based motion modeling to ensure precise entity grounding and high-fidelity output.
Key features
- Cross-modal integration for fidelity
- Single or multi-subject consistency
- Entity grounding and role disentanglement
- Prompt-friendly direction with camera flow
- Reference-aware identity lock
- Designed for creative workflows