Open Agrechka opened 1 year ago
Does the following work for you?
1. Download the models
pip install --upgrade gdown && bash ./download.sh
2. Apply it to the LaMa data Use the following configs to apply RePaint on LaMa thin and thick mask settings for a specific dataset.
CelebA-HQ (Faces) https://github.com/andreas128/RePaint/blob/main/confs/test_c256_thick.yml https://github.com/andreas128/RePaint/blob/main/confs/test_c256_thin.yml
ImageNet https://github.com/andreas128/RePaint/blob/main/confs/test_inet256_thick.yml https://github.com/andreas128/RePaint/blob/main/confs/test_inet256_thin.yml
Places2 https://github.com/andreas128/RePaint/blob/main/confs/test_p256_thick.yml https://github.com/andreas128/RePaint/blob/main/confs/test_p256_thin.yml
@Agrechka hey, if you retrained lama, i am interested to get the ckpt
Hello, I would like to know if I could use your pretrained checkpoints you used from lama. I could only find their checkpoint for celeba-hq and faces on their github. I would cite you in my current paper. Thank you.