PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference

ArXi:2603.22943v1 Announce Type: new Personalized text-to-image generation lets users fine-tune diffusion models into repositories of concept-specific checkpoints, but serving these repositories efficiently is difficult for two reasons: natural-language requests are often ambiguous and can be misrouted to visually similar checkpoints, and standard post-