ViViD is a new framework for video virtual try-on based on diffusion models. It designs a clothing encoder to extract fine-grained clothing semantic features, and introduces a lightweight pose encoder to ensure temporal consistency, generating realistic video try-on effects. ViViD has collected the largest-scale, most diverse clothing types, and highest resolution video virtual try-on dataset to date.