From the source
Replicate explains how they optimized FLUX.1 Kontext [dev] using TaylorSeer, a method that approximates intermediate diffusion steps by caching derivatives, enabling faster inference without quality loss.
From the source
From the source

Replicate explains how they optimized FLUX.1 Kontext [dev] using TaylorSeer, a method that approximates intermediate diffusion steps by caching derivatives, enabling faster inference without quality loss.
From the source
TaylorSeer offers a solution for this. It uses Taylor series to approximate the model's output at a timestep using a series of cached derivatives, capturing non-linear change.
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