| ## Architechture | |
| lpips_type = 'alex' | |
| first_inv_type = 'w+'#'w+' | |
| optim_type = 'adam' | |
| ## Locality regularization | |
| latent_ball_num_of_samples = 1 | |
| locality_regularization_interval = 1 | |
| use_locality_regularization = False | |
| regulizer_l2_lambda = 0.1 | |
| regulizer_lpips_lambda = 0.1 | |
| regulizer_alpha = 30 | |
| ## Loss | |
| pt_l2_lambda = 1 | |
| pt_lpips_lambda = 1 | |
| ## Steps | |
| LPIPS_value_threshold = 0.04 | |
| max_pti_steps = 350 | |
| first_inv_steps = 450 | |
| max_images_to_invert = 30 | |
| ## Optimization | |
| pti_learning_rate = 5e-4 | |
| first_inv_lr = 8e-3 | |
| train_batch_size = 1 | |
| use_last_w_pivots = False | |