Backpropagate Less, Match More
TL;DR for operators Elastic Forcing changes where video-model post-training spends memory. Instead of keeping a diffusion teacher and an online fake-score model resident during distributional training, it compares generated videos directly with reference videos in frozen representation spaces. The reported 14B setup completes 80 post-training updates on eight H200 GPUs in 23.2 hours, while the comparable Self-Forcing configuration is reported to run out of memory on eight GPUs. ...