| indir: no # to be overriden in CLI | |
| outdir: no # to be overriden in CLI | |
| model: | |
| path: no # to be overriden in CLI | |
| checkpoint: model_zoo/big_lama.ckpt | |
| dataset: | |
| kind: default | |
| img_suffix: .png | |
| pad_out_to_modulo: 8 | |
| device: cuda | |
| out_key: inpainted | |
| refine: False # refiner will only run if this is True | |
| refiner: | |
| gpu_ids: 0,1 # the GPU ids of the machine to use. If only single GPU, use: "0," | |
| modulo: ${dataset.pad_out_to_modulo} | |
| n_iters: 15 # number of iterations of refinement for each scale | |
| lr: 0.002 # learning rate | |
| min_side: 512 # all sides of image on all scales should be >= min_side / sqrt(2) | |
| max_scales: 3 # max number of downscaling scales for the image-mask pyramid | |
| px_budget: 1800000 # pixels budget. Any image will be resized to satisfy height*width <= px_budget |