activate SD environment
pip install natsort==8.1.0 on top of your environment
place src folder in stable-diffusion folder
Download the pre-trained weights
wget -O src/latent-diffusion/models/ldm/inpainting_big/last.ckpt https://heibox.uni-heidelberg.de/f/4d9ac7ea40c64582b7c9/?dl=1
to run the script
python src\\latent-diffusion\\squarizeimages.py --input "C:\Users\Gebruiker\Documents\Visions of Chaos\Movies\00000000/" --steps "50" --projectname "square1" --edgeremoval --edgedetection "40%" --extra_crop --outdir "whatever/dir/is/possible"
--input "path/to/input/images/folder/" the input folder
--steps "50" the amount of steps the inpainting does
--edgeremoval "1" activates --edgedetection
--edgedetection "40%" the percentage of how much borderdetection is going on
--extra_crop "1" adds an extra 10px crop on each side
--outdir "path/to/output/images/folder" the output folder
--voc "1" if you have voc installed it will use the folders in voc automatically and you won't need to pass the latent diffusion location
--latent_diffusion_path "path/to/Stable Diffusion/src/latent-diffusion" only pass this if you're not using the voc version
this is an example of a combination of --edgeremoval "1" --edgedetection "40%" --extra_crop "1" to remove borders
