example

accelerate launch --num_cpu_threads_per_process 8 sdxl_train_network.py ^
	--pretrained_model_name_or_path="K:/checkpoint.safetensors" ^
	--train_data_dir="dataset" ^
	--output_dir="output_dir" ^
	--output_name="name" ^
	--network_args "algo=full" "preset=full" "train_norm=False" ^
	--resolution="1024" ^
	--save_model_as="safetensors" ^
	--network_module="lycoris.kohya" ^
	--shuffle_caption ^
	--max_train_epochs=1000 ^
	--save_every_n_steps=1 ^
	--save_state_on_train_end ^
	--save_precision=bf16 ^
	--train_batch_size=2 ^
	--gradient_accumulation_steps=1 ^
	--max_data_loader_n_workers=1 ^
	--mixed_precision="bf16" ^
	--caption_extension=".txt" ^
	--gradient_checkpointing ^
	--optimizer_type="prodigyplus.prodigy_plus_schedulefree.ProdigyPlusScheduleFree" ^
	--optimizer_args "betas=(0.9, 0.9)" "schedulefree_c=10" "weight_decay_by_lr=False" "d0=5e-5" "use_stableadamw=True" "d_limiter=False" "d_coef=1" "use_speed=False" ^
	--learning_rate=1 ^
	--text_encoder_lr=1 ^
	--loss_type="huber" ^
	--huber_schedule="snr" ^
	--huber_c=0.1 ^
	--cache_latents ^
	--xformers ^
	--full_bf16 ^
	--mem_eff_attn ^
	--lr_scheduler="constant" ^
	--seed=1 ^
	--no_metadata ^
	--logging_dir="logs" ^
	--log_with="tensorboard" ^
	--persistent_data_loader_workers ^



pause