revp-censorship / hparams.yml
anonymous
update
cc4ef24
adam_beta1: 0.9
adam_beta2: 0.99
adam_epsilon: 1.0e-08
adam_weight_decay: 0.01
adam_weight_decay_text_encoder: null
allow_tf32: false
blur_kernel_size_range: 21@51
budget: 2
censor_modes: pixelation@gaussian_blur@black
center_crop: false
checkpointing_steps: 1000
cover_image_column: null
cover_image_mode: censorship
dataloader_num_workers: 0
dataset_name: timm/imagenet-1k-wds
disable_n_sq: false
enable_n_crop: false
enable_n_fq: false
gradient_accumulation_steps: 4
gradient_checkpointing: false
image_log_steps: 50
jpeg_qf: 90
learning_rate: 1.0
logging_dir: logs
make_cover_image: true
max_grad_norm: 1.0
max_train_samples: null
max_train_steps: 10000
message_image_column: jpg
mixed_precision: null
num_train_epochs: 1
output_dir: /work/ernestchu0/censorship/outputs
pixelation_block_size_range: 10@40
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
prodigy_beta3: null
prodigy_decouple: true
prodigy_safeguard_warmup: true
prodigy_use_bias_correction: true
random_flip: false
rank: 64
report_to: tensorboard
resolution: 520
resume_from_checkpoint: null
seed: 12345
train_batch_size: 2
train_data_size: null