Diffusion Transformer

A Diffusion Transformer (DiT) is a generative architecture that replaces the convolutional U-Net backbone traditionally used in diffusion models with a Transformer, applying the same iterative denoising process to sequences of image (or video) patches instead of pixels processed through convolutions.

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