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Latent-ImageNet

Overview

latent-imagenet is obtained by encoding the original ImageNet dataset into the latent space of the pre-trained VAE from stable diffusion. It consists of two versions with different resolutions: ImageNet256 and ImageNet512.

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Models trained or fine-tuned on hzzheng/MaskDiT-imagenet