2026
Z-Erase: Enabling Concept Erasure in Single Stream Diffusion Transformers
ICML 2026poster
Concept erasure serves as a vital safety mechanism for removing unwanted concepts from text-to-image (T2I) models. While extensively studied in U-Net and dual-stream architectures (e.g., Flux), this task remains under-explored in the recent emerging paradigm of single-stream diffusion transformers (…