arXivImage AI
Looped-DiT: Scaling Image Generation Efficiency via Recurrent Transformer Blocks
Looped-DiT:藉由循環 Transformer 區塊實現影像生成的高效運算擴展
Looped-DiT reuses shared Transformer blocks within each denoising step, enabling a 260M-parameter model to outperform a 6.5x larger counterpart with 4.9x less inference compute.
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