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cs.CV2024
Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment
Feng He, Chao Zhang, Zhixue Zhao
Implicit assumptions and priors are often necessary in text-to-image generation tasks, especially when textual prompts lack sufficient context. However, these assumptions can somet…
cs.CV2024
Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable Diffusion
Samarth N Ramesh, Zhixue Zhao
As text-to-image models grow increasingly powerful and complex, their burgeoning size presents a significant obstacle to widespread adoption, especially on resource-constrained dev…