Rethinking What to Cache in Few-Step Diffusion Transformers: Solver-Aware Target Selection

In 30 Sekunden

Was passiert ist

AutoTarget method selects optimal cached tensors in distilled diffusion transformers to reduce computation while maintaining image and video generation quality.

Warum es zählt

Matters for engineers optimizing diffusion model inference, especially when deploying distilled image and video generation systems with tight latency or compute budgets.

Achtung

Method requires calibration runs to measure reuse error per model and solver; optimal cache targets vary by resolution and sampling algorithm, requiring per-configuration tuning.