Efficient fairness auditing across guidance scales in text-to-image diffusion models via causal abstraction.
Read the original at arxiv.org→arXiv:2609.09486v1 Announce Type: new Abstract: Fairness auditing of text-to-image diffusion models often requires generating large numbers of images across sampling configurations, making comprehensive evaluation...
Original headline: "Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction"
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- Sep 10, 04:00 UTC arXiv cs.LG lead source Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction