What if fine-tuning a fast image model didn’t break its speed? Researchers from HKUST, Alibaba Group, UCSD, and CUHK present D-OPSD. It lets step-distilled diffusion models learn new styles or concepts without losing their few-step magic—by having the model act as both

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