You can train video models on short clips and generate much longer videos by using a three-tier memory strategy that compresses historical context without losing quality.
PackForcing solves the memory problem in video generation by compressing old frames intelligently—keeping early frames for context, heavily compressing middle frames, and preserving recent frames for smooth transitions. This lets models generate 2-minute videos on a single GPU after training only on 5-second clips, achieving 24x longer videos than training data.