Diffusion Model Patching via Mixture-of-Prompts
We present Diffusion Model Patching (DMP), a simple method to boost the performance of pre-trained diffusion models that have already reached convergence, with a negligible increase in parameters. DMP inserts a small, learnable set of prompts into the model's input space while keeping the origi...
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Main Authors | , , , , , |
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Format | Journal Article |
Language | English |
Published |
28.05.2024
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Subjects | |
Online Access | Get full text |
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