AIBullisharXiv – CS AI · 10h ago7/10
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HyperTransport: Amortized Conditioning of T2I Generative Models
HyperTransport is a new hypernetwork framework that dramatically accelerates activation steering for text-to-image models by amortizing optimization costs across multiple concepts. Rather than optimizing intervention parameters for each new concept (which takes minutes), the system learns to map CLIP embeddings directly to steering parameters in a single forward pass, achieving 3600-7000x speedup while matching per-concept baselines on unseen concepts.