OrthoFuse presents a training-free method for fusing orthogonal style-concept adapters in diffusion models using Riemannian geometry. The technique enables efficient combination of multiple adapters without additional training overhead.
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OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models
Riemannian geometry enables training-free fusion of multiple style-concept adapters in diffusion models, eliminating retraining overhead when combining customizations.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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