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_prompt: null
dataloader_num_workers: 0
enable_xformers_memory_efficient_attention: false
gradient_accumulation_steps: 1
gradient_checkpointing: false
hub_model_id: null
hub_token: null
instance_data_dir: /projects/ac67/projects/textual_inversion/img/Well differentiated
  tubular adenocarcinoma/
instance_prompt: a photo of sks well-differentiated-adenocarcinoma
learning_rate: 5.0e-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: 1000
mixed_precision: null
num_class_images: 100
num_train_epochs: 1
num_validation_images: 4
offset_noise: false
output_dir: ./well
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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: null
set_grads_to_none: false
tokenizer_name: null
train_batch_size: 1
train_text_encoder: false
use_8bit_adam: false
validation_prompt: null
validation_steps: 100
with_prior_preservation: false