diffusionnft-3463bac0·1 events·first seen Aliases: DiffusionNFT
MeanFlowNFT is a new RL fine-tuning framework that adapts the DiffusionNFT forward-process RL objective to MeanFlow generators, which use average-velocity predictions for fast few-step sampling. The key contribution is an induced instantaneous-velocity predictor derived from the MeanFlow identity, allowing reward optimization without disrupting MeanFlow's efficient sampling. The method inherits DiffusionNFT's policy-improvement guarantee and outperforms prior RL-tuned few-step generators on SD3.5-M and Wan 2.1, with 4-step MeanFlowNFT surpassing 50-step RL-tuned diffusion on VBench.