Why it matters

Classifier guidance introduced conditional diffusion. Historical understanding shapes CFG.

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The architecture

Train classifier on noised images.

Sampling: add classifier gradient to noise prediction.

Classifier guidance flowClassifieron noised imagesGradientof log p(y|x)Samplingsteered by gradientDhariwal + Nichol 2021; superseded by CFG for most uses
Classifier guidance.
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How it works end to end

Dhariwal + Nichol 2021 (Diffusion Beats GANs).

Classifier trained separately on noised.

Scale of gradient tunes fidelity.