[HUGGINGFACE]score: 0.55
JLT 130M DiT Shows Clean-Latent Prediction Outperforms Velocity Prediction in Latent Space
May 25, 2026
A 130M latent diffusion Transformer trained over frozen FLUX.2 VAE codes shows clean-latent prediction outperforms velocity-prediction baselines by avoiding isotropic covariance noise amplification at low variance timesteps.
paper
HOW THIS AFFECTS YOU
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researcherThe Gaussian analysis formalizing why velocity regression degrades at low-variance timesteps in compressed latent spaces gives a principled reason to prefer clean-latent targets in DiT training.