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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: 500
checkpoints_total_limit: null
class_data_dir: null
class_labels_conditioning: null
class_prompt: null
dataloader_num_workers: 0
enable_xformers_memory_efficient_attention: true
gradient_accumulation_steps: 1
gradient_checkpointing: true
hub_model_id: null
hub_token: null
instance_data_dir: dog
instance_prompt: a photo of [v]dog
learning_rate: 1.0e-06
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: 800
mixed_precision: null
num_class_images: 100
num_train_epochs: 160
num_validation_images: 4
offset_noise: false
output_dir: dogbooth
pre_compute_text_embeddings: false
pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
prior_generation_precision: null
prior_loss_weight: 1.0
push_to_hub: true
report_to: tensorboard
resolution: 768
resume_from_checkpoint: null
revision: null
sample_batch_size: 4
scale_lr: false
seed: null
set_grads_to_none: false
skip_save_text_encoder: false
snr_gamma: null
text_encoder_use_attention_mask: false
tokenizer_max_length: null
tokenizer_name: null
train_batch_size: 1
train_text_encoder: false
use_8bit_adam: true
validation_prompt: null
validation_scheduler: DPMSolverMultistepScheduler
validation_steps: 100
variant: null
with_prior_preservation: false
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