Kohya Run Command

accelerate launch  --mixed_precision bf16 --num_cpu_threads_per_process 1 flux_train.py --pretrained_model_name_or_path D:\FluxKohya\sd-scripts\models\flux1-dev-w-lora.safetensors  --clip_l D:\FluxKohya\sd-scripts\models\clip_l.safetensors --t5xxl D:\FluxKohya\sd-scripts\models\t5xxl_fp16.safetensors --ae D:\FluxKohya\sd-scripts\models\ae.sft --save_model_as safetensors --sdpa --persistent_data_loader_workers --max_data_loader_n_workers 2 --seed 44 --gradient_checkpointing --mixed_precision bf16 --save_precision bf16 --dataset_config D:\FluxKohya\sd-scripts\fluxdataset.toml  --output_dir F:\ComfyUI\models\unet\ --output_name FluxNSFW-Test-v3 --learning_rate 25e-6 --max_train_epochs 8  --sdpa --highvram --cache_text_encoder_outputs_to_disk --cache_latents_to_disk --save_every_n_epochs 1 --optimizer_type adafactor --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" --lr_scheduler constant --timestep_sampling shift --model_prediction_type raw --discrete_flow_shift 3.1582 --guidance_scale 1.0 --loss_type l2 --fused_backward_pass  --double_blocks_to_swap 6 --cpu_offload_checkpointing --full_bf16 --masked_loss --t5xxl_max_token_length 512