adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
adam_weight_decay: 0.0001
adam_weight_decay_text_encoder: 0.001
allow_tf32: false
cache_dir: null
caption_column: prompt
center_crop: false
checkpointing_steps: 717
checkpoints_total_limit: null
class_data_dir: null
class_prompt: null
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: tatar_male_attire
do_edm_style_training: false
enable_xformers_memory_efficient_attention: false
gradient_accumulation_steps: 3
gradient_checkpointing: true
hub_model_id: null
hub_token: null
image_column: image
instance_data_dir: null
instance_prompt: a picture of TatarMaleAttire clothes
learning_rate: 0.0001
local_rank: -1
logging_dir: logs
lr_num_cycles: 1
lr_power: 1.0
lr_scheduler: constant
lr_warmup_steps: 0
max_grad_norm: 1.0
max_train_steps: 500
mixed_precision: fp16
num_class_images: 100
num_train_epochs: 27
num_validation_images: 4
optimizer: AdamW
output_dir: tatar_male_attire_LoRA
output_kohya_format: false
pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
prior_generation_precision: null
prior_loss_weight: 1.0
prodigy_beta3: null
prodigy_decouple: true
prodigy_safeguard_warmup: true
prodigy_use_bias_correction: true
push_to_hub: false
random_flip: false
rank: 4
repeats: 1
report_to: tensorboard
resolution: 1024
resume_from_checkpoint: null
revision: null
sample_batch_size: 4
scale_lr: false
seed: 0
snr_gamma: 5.0
text_encoder_lr: 5.0e-06
train_batch_size: 1
train_text_encoder: false
use_8bit_adam: true
use_dora: false
validation_epochs: 50
validation_prompt: null
variant: null
with_prior_preservation: false