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End of training
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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
cache_dir: null
caption_column: text
checkpointing_steps: 5000
checkpoints_total_limit: null
conditioning_image_column: conditioning_image
controlnet_model_name_or_path: null
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: ./qr_dataset
enable_xformers_memory_efficient_attention: true
gradient_accumulation_steps: 4
gradient_checkpointing: true
hub_model_id: null
hub_token: null
image_column: image
learning_rate: 1.0e-05
logging_dir: logs
lr_num_cycles: 1
lr_power: 1.0
lr_scheduler: constant
lr_warmup_steps: 500
max_grad_norm: 1.0
max_train_samples: null
max_train_steps: 24300
mixed_precision: fp16
num_train_epochs: 300
num_validation_images: 4
output_dir: ./model
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
proportion_empty_prompts: 0
push_to_hub: true
report_to: tensorboard
resolution: 512
resume_from_checkpoint: null
revision: null
scale_lr: false
seed: null
set_grads_to_none: true
tokenizer_name: null
tracker_project_name: train_controlnet
train_batch_size: 16
train_data_dir: null
use_8bit_adam: false
validation_steps: 100