You can now use RL to align fast flow-based generators with human preferences without slowing them down—MeanFlowNFT optimizes rewards while keeping the few-step sampling that makes these models practical.
MeanFlowNFT applies reinforcement learning to fast few-step image and video generators that predict average velocities. By bridging average and instantaneous velocities, the method enables reward optimization while preserving MeanFlow's speed advantage, achieving better results than prior RL-tuned generators with fewer sampling steps.