i1-datasets/i1-fluxreason-1024-resolution-1m-tfrecord

i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu Princeton University [arXiv][code][model][project page] Overview To prepare the dataset for training, we store the image-caption pairs as TFRecords. This HuggingFace dataset contains the TFRecords corresponding to the fluxreason dataset at 1024×1024 resolution. Concretely, we only retain raw images with a shorter edge of at… See the full description on the dataset page: https://huggingface.co/datasets/i1-datasets/i1-fluxreason-1024-resolution-1m-tfrecord.