
【第169期】LiT:Linear Diffusion Transformer
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LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation
Summary
The provided document introduces LiT, a Linear Diffusion Transformer, designed for efficient image generation. LiT simplifies linear attention mechanisms and employs a novel training strategy involving weight inheritance and hybrid knowledge distillation. This approach allows LiT to achieve competitive image generation results with significantly reduced training steps, rivaling other methods like Mamba or Gated Linear Attention. Experiments demonstrate…
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