jon-kyl/imagenet-sdxl-quantized

ImageNet SDXL Quantized This repository provides the ImageNet-1K dataset pre-encoded with the Stable Diffusion XL VAE encoder and quantized to uint8, allowing for faster training of latent diffusion models by eliminating the need for on-the-fly encoding. Key Features Reduces quantization error by 2dB PSNR compared to a linear encoding scheme Provided in both 256 and 512 resolutions Compatible with NumPy, JAX, and PyTorch Usage Loading… See the full description on the dataset page: https://huggingface.co/datasets/jon-kyl/imagenet-sdxl-quantized.