Bernini R GGUF ComfyUI

Latent Semantic Planning for Video Diffusion **Chenchen Liu * , Junyi Chen * , Lei Li * , Lu Chi *,§ , Mingzhen Sun * , Zhuoying Li * , Yi Fu, Ruoyu Guo, Yiheng Wu, Ge Bai, Zehuan Yuan ✉ ** * Equal contribution ✉ Corresponding author § Project lead ## 🎉 News - We open-sourced the inference code and model weights of the Bernini Renderer (). - We released our paper . ## ✨ Highlights Bernini is a unified framework for video generation and editing that combines an MLLM-based semantic planner with a DiT-based renderer. On video editing, Bernini reaches the first tier among leading closed-source commercial models. The leaderboard below comes from our self-built arena platform, where human annotators blindly vote on paired edits and the votes are aggregated into a Bradley-Terry score and a pairwise win-rate matrix. ## 📑 Citation If you use Bernini in your research, please cite: ## 🙏 Acknowledgements Bernini builds on several outstanding open-source projects: - - - We thank the authors and communities of these projects for their contributions. ## 📄 License Apache License 2.0. See .