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: null
center_crop: false
checkpointing_steps: 500
checkpoints_total_limit: null
class_data_dir: null
class_prompt: null
crops_coords_top_left_h: 0
crops_coords_top_left_w: 0
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: null
enable_xformers_memory_efficient_attention: false
gradient_accumulation_steps: 1
gradient_checkpointing: true
hub_model_id: null
hub_token: null
image_column: image
instance_data_dir: instances/orange_bag
instance_prompt: a szn colored bag
learning_rate: 5.0e-05
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: 1000
mixed_precision: fp16
num_class_images: 100
num_train_epochs: 1000
num_validation_images: 4
optimizer: AdamW
output_dir: output/lora-sdxl-orange
pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
pretrained_vae_model_name_or_path: null
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: true
rank: 64
repeats: 1
report_to: tensorboard
resolution: 1024
resume_from_checkpoint: null
revision: null
sample_batch_size: 4
scale_lr: false
seed: 0
snr_gamma: null
text_encoder_lr: 5.0e-06
train_batch_size: 1
train_text_encoder: false
use_8bit_adam: true
validation_epochs: 50
validation_prompt: a backpack, szn colored
with_prior_preservation: false