L2P trains per-timestep linear weights on feature trajectories in about 20 seconds to enable aggressive caching in DiT models, delivering up to 4.55x FLOPs reduction with maintained visual quality.
Dpm-solver: A fast ode solver for dif- fusion probabilistic model sampling in around 10 steps
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Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models
L2P trains per-timestep linear weights on feature trajectories in about 20 seconds to enable aggressive caching in DiT models, delivering up to 4.55x FLOPs reduction with maintained visual quality.