Grafting: Efficiently Redesigning Diffusion Transformers with Pretrained Models Stanford and Liquid AI propose Grafting — a lightweight, low-cost method for exploring new model architectures using pretrained diffusion transformers (DiTs), without full retraining. Instead of

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