ChocolateDave/imagenet-256-sd-vae-latents

ImageNet-256 SD VAE latents This dataset caches VAE posterior parameters for ImageNet-1k (ILSVRC 2012) images at 256 × 256 resolution. It supports latent-space generative modeling, including DiT and Flow Maps experiments, without repeatedly encoding images. Data splits and format Split Images Parquet shards Filenames Training 1,281,167 294 train-00000-of-00294.parquet … train-00293-of-00294.parquet Validation 50,000 14… See the full description on the dataset page: https://huggingface.co/datasets/ChocolateDave/imagenet-256-sd-vae-latents.

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