ByteDance’s commercial technology team has open-sourced Bernini, a unified framework for AI video generation and editing. Its design separates semantic planning from visual rendering: an MLLM-based planner understands text, source videos, images, and video references, then a DiT-based renderer produces the final video. The released Bernini-R includes inference code and weights, while the full planner-enabled version is still being prepared.
QbitAI reports that JD’s team has open-sourced JoyAI-Echo, a long audio-video generation framework for multi-minute AI videos. It targets character drift, unstable voice, slow inference, and blurry output through cross-modal memory, memory-driven post-training, and lightweight real-time super-resolution. The system also includes a Director Agent for script planning, shot-level generation, localized edits, and iterative video production.