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MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation
MoA is designed to retain the original model's prior by fixing its attention layers in the prior branch, while minimally intervening in the generation process with the personalized branch that learns to embed subjects in the layout and context generated by the prior branch.
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