_config.yaml

# Initial w to optimize from. Can be set to ~ for None.
initial_w: ~ 
# Skip auto alignment of the images. Only use this if you already have aligned images.
skip_alignment: False

generator_path: resources/ffhq.pkl
# generator_path: pti_resources/model_merkel.pt
# Perform plain torch.load on the pkl, otherwise look for G_ema.
generator_load_raw: False
# Resolution of the trained generator.
generator_native_resolution: [1024, 1024]

# Default projection mode.
projection_mode: w_projection
# Projection mode arguments.
projection_args:
  lr_init: 1.0e-1
  l2_loss_weight: 0
  l1_loss_weight: 0.
  noise_regularize_weight: 0. # 10000.
  mean_latent_loss_weight: 10.
  percept_downsample: 0.5

# Set this to ~ [0.5 - 1] if you want faster projection at the cost of ui updates.
minimum_projection_update_window: 0.1

# Use this device for torch.
device: cuda:0
# Don't change this unless you want to do multimask descent.
max_segments: 1
# Save exported images here.
export_directory: SavedImages

# Skip loading some resources for high performance startup.
ui_debug_run: False
show_debug_menu: False