Revealing Gender Bias from Prompt to Image in Stable Diffusion
Social biases in generative models have gained increasing attention.This paper proposes an automatic evaluation protocol for text-to-image generation, examining how gender bias originates and perpetuates in the generation process of Stable Diffusion.Using triplet prompts that vary by gender indicators, we trace presentations at several stages of th