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We thank the reviewers for their feedback. We will first respond to shared and then to individual comments. Additionally, reviewers 2 and 3 requested clarification regarding the advantages of DCA over other methods. For instance, one could attempt to correlate each neuron's contribution to the DCA subspace with single-neuron Studying the behavior of Kernel DCA is a direction for future studies. Additionally, we found and corrected a minor bug in Figure 1A: the SFA and DCA lines are now blue and red, respectively.

Our model is built using the pre-trained Stable Diffusion model trained on web-scraped datasets. Proper content moderation and regulation are highly advised to prevent undesirable consequence. In Figure 1, we outline common failure cases of the model. Subject images used for finetuning are shown on the left. We briefly introduce these methods below.