Generative Vision Interview Questions, issue 25, Jul 4, 2026
The Diminishing Reflow Trap
Generative AI Research Engineer interview at Black Forest Labs, and the interviewer asks:
“Your first reflow pass straightened your sampling trajectories and let you drop steps. So you ran three more reflow iterations chasing single-step generation, and your FID quietly got worse. Why?”
Don’t say: “More reflow = straighter paths = fewer Euler steps.”
Why "photocopying a photocopy" silently corrupts your training pairs, and how replacing extra reflows with feature-space distillation saves your sampling quality.
The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.