JoyAI-Video-Edit is a real-time, instruction-guided system for editing open-ended video streams as frames arrive. It works with live camera feeds or uploaded videos without waiting for the entire sequence or knowing the final video length. Natural-language instructions can drive subject edits, local changes, background replacement, style transfer, motion changes, and reference-guided transformations. Its architecture combines a multimodal condition encoder, causal video VAE, and a 16B-parameter multimodal diffusion transformer. Autoregressive diffusion and bounded KV-state inference are used to keep computation stable across long streams. The released deployment reaches high-throughput 720p editing and also supports real-time operation on selected consumer GPUs. Updated checkpoints improve identity preservation, reference conditioning, and temporal consistency for reference-image-guided editing.
Features
- Real-time editing of live and uploaded video streams
- Natural-language control for open-ended video transformations
- Subject, object, background, style, and motion editing
- Reference-image-guided video editing with identity preservation
- Autoregressive diffusion with bounded KV-state inference
- High-throughput 720p deployment with consumer GPU support