A preprocessed dataset of ImageNet-1k for image generation.
Each image is resized to 256x256.
Resized images are processed by stabilityai/sd-vae-ft-mse to produce latents.
The scripts used for data preprocessing are from REPA & EDM.
The commands used to generate this dataset:
python dataset_tools.py convert --source=/path/to/imagenet/train --dest=/path/to/imagenet_256/images.zip --resolution=256x256 --transform=center-crop-dhariwal
python dataset_tools.py encode… See the full description on the dataset page:
https://huggingface.co/datasets/Yuehao/imagenet-1k-256.