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Since releasing Priming Models, we’ve received great questions. Here’s a short follow-up with new experiments and release updates!View quoted post on X
TL;DR: Diffusion policy setup / (# real samples) vs. Final FID / T2i checkpoints released / new blog post from @moritz_piening!
Today, we introduce Priming Models, a new paradigm for training one-step generative models from scratch.
No diffusion teacher. No flow map. No CFG. No JVP.
We believe this work will challenge how we think about building one-step models.
Joint work with @sitanch, @du_yilun, @parkwbin03, Bohyung Han.
🔥 1.19 FID one-step on ImageNet 256×256 while using substantially less compute, e.g., 12X less than Drifting-B, 6X less than Drifting-L
🎨 Scales to text-to-image generation (GenEval 0.82)
🤖 World modeling on RT-1 / Bridge-V2
Priming Model is built on one core message: [Reconstruction pretraining --> Distributional post-training].View quoted post on X
From my friend and guide for a long time, a timely essay: terrytao.wordpress.com/2026/10/07/the…View quoted post on X
