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: 250
checkpoints_total_limit: null
class_data_dir: null
class_prompt: null
concepts_list: null
dataloader_num_workers: 2
enable_xformers_memory_efficient_attention: false
freeze_model: crossattn_kv
gradient_accumulation_steps: 1
gradient_checkpointing: false
hflip: true
hub_model_id: null
hub_token: null
initializer_token: ktn+pll+ucd
instance_data_dir: //home/xide/miniconda3/code/diffusers/examples/custom_diffusion/data/dog/dog5
instance_prompt: photo of a <new1> dog
learning_rate: 1.0e-05
local_rank: -1
logging_dir: logs
lr_scheduler: constant
lr_warmup_steps: 0
max_grad_norm: 1.0
max_train_steps: 250
mixed_precision: null
modifier_token: <new1>
no_safe_serialization: true
noaug: false
num_class_images: 200
num_train_epochs: 1
num_validation_images: 2
output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/single-concept/dog/dog5
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
prior_generation_precision: null
prior_loss_weight: 0.0
push_to_hub: true
real_prior: false
report_to: tensorboard
resolution: 512
resume_from_checkpoint: null
revision: null
sample_batch_size: 4
scale_lr: true
seed: 42
set_grads_to_none: false
tokenizer_name: null
train_batch_size: 2
use_8bit_adam: false
validation_prompt: null
validation_steps: 50
variant: null
with_prior_preservation: false