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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: 2500
checkpoints_total_limit: null
conditioning_image_column: conditioning_image
controlnet_model_name_or_path: null
crops_coords_top_left_h: 0
crops_coords_top_left_w: 0
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: danabib/elsed-control
enable_xformers_memory_efficient_attention: true
gradient_accumulation_steps: 1
gradient_checkpointing: false
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: 15000
mixed_precision: fp16
num_train_epochs: 2
num_validation_images: 4
output_dir: ./elsedcanny_models-v0.0.1
pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
pretrained_vae_model_name_or_path: null
proportion_empty_prompts: 0
push_to_hub: true
report_to: tensorboard
resolution: 1024
resume_from_checkpoint: controlnet-canny-sdxl-1.0
revision: null
scale_lr: false
seed: 42
set_grads_to_none: false
tokenizer_name: null
tracker_project_name: sd_xl_train_controlnet
train_batch_size: 1
train_data_dir: null
use_8bit_adam: false
validation_steps: 100