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One-Step Diffusion Refiner Cuts Latency Ninefold

This story is from 2026-10-09. It is preserved in the archive; the latest stories are on the live feed.

A single diffusion step now matches the fidelity of multi‑step refiners while slashing inference time by roughly nine times. In practice the latency drops from dozens of seconds to a handful, reshaping what real‑time high‑resolution video generation can look like. Before SoL‑Refiner, most pipelines…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-10-09 05:00 · DEV Community — Machine Learning
    One-Step Diffusion Refiner Cuts Latency Ninefold

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