StayFair addresses guidance bias in diffusion models by extending demographic parity, allowing fairness to hold across guidance scales via modified classifier or null-embedding steps.
De-stereotyping text-to-image models through prompt tuning.arXiv preprint arXiv:2302.02369, 2024
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Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
StayFair addresses guidance bias in diffusion models by extending demographic parity, allowing fairness to hold across guidance scales via modified classifier or null-embedding steps.