Shypd.aiThe largest open index of AI toolsDiffiT is an AI Agents & Automation tool that combines diffusion models with Vision Transformers for image generation. It achieves state-of-the-art performance on class-conditional ImageNet generation.
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DiffiT (Diffusion Vision Transformers) is a generative AI model that merges the strengths of diffusion models with Vision Transformers (ViTs). This innovative approach introduces Time-dependent Multihead Self Attention (TMSA), enabling precise control over the denoising process at each timestep. DiffiT has demonstrated state-of-the-art performance in class-conditional ImageNet generation across various resolutions, notably achieving an FID score of 1.73 on ImageNet-256. The official PyTorch implementation is available, along with pretrained model checkpoints and scripts for sampling images and computing FID scores, allowing users to reproduce the reported results.
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