toilaluan/imagenet-256-flux2-vae-latents

ImageNet-256 FLUX.2 VAE Latents Pre-computed deterministic, model-facing encodings from the FLUX.2 VAE (black-forest-labs/FLUX.2-dev) for the full ImageNet-1K training set at 256x256 resolution, stored as Parquet shards. Each example includes latents for both the original and horizontally flipped image, enabling flip augmentation without re-encoding at training time. Dataset Description Each example contains: Column Shape Stored type Description… See the full description on the dataset page: https://huggingface.co/datasets/toilaluan/imagenet-256-flux2-vae-latents.

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