tsunghan-wu / GLIGEN

Open-Set Grounded Text-to-Image Generation

GLIGEN: Open-Set Grounded Text-to-Image Generation (CVPR 2023)

• Fork of the original GLIGEN repo for development purpose. Please read the original repo to prepare the environments.

Here's what I've done.

1. Download and process all data according to their instructions at /shared/patrickwu/GLIGEN. This includes executing the tsv_split_merge.py program (which I've fixed a bug) and updated the path in dataset/catalog.py.

2. Download the pretrained sdv1.4 checkpoint at /shared/patrickwu/GLIGEN/DATA/sd-v1-4.ckpt (from) as GLIGEN needs it when running their code.

3. Run the code: python main.py --name=trial_batch --yaml_file=configs/alldata_boxtext2img.yaml