Causal attribution would indeed be cost prohibitive. But what about comparing neural activations for pairs or sets of input/output images? It might shed some li

Causal attribution would indeed be cost prohibitive. But what about comparing neural activations for pairs or sets of input/output images? It might shed some light on how much “extra” knowledge SD pulls in beyond the memorized features of the suspected source images.