BBDUCK-0515

Folder 01: 18 steps max_train_steps = 9 stop_text_encoder_training = 0 lr_warmup_steps = 0 accelerate launch --num_cpu_threads_per_process=2 "train_network.py" --pretrained_model_name_or_path="D:/ai/anything-v3-2.safetensors" --train_data_dir="D:/ai/resource" --resolution=512,512 --output_dir="D:/ai/bbduck" --logging_dir="" --network_alpha="128" --save_model_as=safetensors --network_module=networks.lora --text_encoder_lr=5e-5 --unet_lr=0.0001 --network_dim=128 --output_name="bbduck" --lr_scheduler_num_cycles="1"...