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]
To prepare the dataset for training, we store the image-caption pairs as TFRecords.
This HuggingFace dataset contains the TFRecords corresponding to the inaturalist dataset at 256×256 resolution.
It also serves as an example of what a dataset processed using… See the full description on the dataset page:
https://huggingface.co/datasets/zlab-princeton/i1-inaturalist-tfrecord.
