adam_beta1: 0.9
adam_beta2: 0.99
adam_epsilon: 1.0e-08
adam_weight_decay: 0.0001
adam_weight_decay_text_encoder: null
allow_tf32: false
cache_dir: null
cache_latents: false
caption_column: prompt
center_crop: false
checkpointing_steps: 2000
checkpoints_total_limit: null
class_data_dir: null
class_prompt: null
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: /openbayes/home/img
do_edm_style_training: false
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: null
instance_prompt: In the style of Terada,
learning_rate: 1.0
local_rank: -1
logging_dir: logs
lora_unet_blocks: null
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: bf16
noise_offset: 0
num_class_images: 100
num_new_tokens_per_abstraction: 2
num_train_epochs: 143
num_validation_images: 4
optimizer: prodigy
output_dir: teratera
pretrained_model_name_or_path: cookey39/aam_xl
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
random_flip: false
rank: 8
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: 1.0
token_abstraction: TOK
train_batch_size: 3
train_text_encoder: false
train_text_encoder_frac: 1.0
train_text_encoder_ti: true
train_text_encoder_ti_frac: 0.5
use_8bit_adam: false
use_blora: false
use_dora: false
validation_epochs: 50
validation_prompt: In the style of Terada,colorful, anime-style, illustration, girl,
  yellow jacket, blonde hair, two buns, peace sign, hands, rainbow gradient, brightness,
  cheerfulness, small confetti, festive atmosphere, central position, joy, positivity.
variant: null
with_prior_preservation: false