KV Caching Comes to Flow Models: Implementation, Benchmarks and Quirky Experiments

RisingSayak · x · 2026-10-07

Sayak Paul published a long-form piece adapting KV caching—historically tied to autoregressive, causal-attention LMs—to flow models for image generation (MMDiT architectures with bidirectional text-image attention).

Key points:

The article covers intuition, implementation details with pseudo-code, benchmarks, and quirky experiments
Combining traditional diffusion caching (e.g. TaylorSeer) with KV caching appears to cause noticeable quality degradation
The author discloses how much AI was used while writing

Useful reading for anyone working on diffusion transformer inference optimization.

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KV Caching Comes to Flow Models: Implementation, Benchmarks and Quirky Experiments

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