adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
adam_weight_decay: 0.01
allow_tf32: false
center_crop: false
checkpointing_steps: 400
class_data_dir: null
class_prompt: null
dataloader_num_workers: 4
enable_xformers_memory_efficient_attention: false
gradient_accumulation_steps: 4
gradient_checkpointing: false
hub_model_id: null
hub_token: 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
instance_data_dir: /workspace/lora-test/data/bento
instance_prompt: healthy_bento
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: 2000
mixed_precision: null
num_class_images: 100
num_train_epochs: 96
num_validation_images: 4
output_dir: /workspace/lora-test/bento
pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
prior_generation_precision: null
prior_loss_weight: 1.0
push_to_hub: true
report_to: tensorboard
resolution: 512
resume_from_checkpoint: null
revision: null
sample_batch_size: 4
scale_lr: false
seed: 0
tokenizer_name: null
train_batch_size: 1
use_8bit_adam: false
validation_epochs: 400
validation_prompt: a photo of healthy_bento
with_prior_preservation: false