accelerate launch ^ --mixed_precision bf16 ^ --num_cpu_threads_per_process 1 ^ sd-scripts/flux_train_network.py ^ --pretrained_model_name_or_path "C:\Users\micha\pinokio\api\fluxgym.git\models\unet\bdsqlsz\flux1-dev2pro-single\flux1-dev2pro.safetensors" ^ --clip_l "C:\Users\micha\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^ --t5xxl "C:\Users\micha\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^ --ae "C:\Users\micha\pinokio\api\fluxgym.git\models\vae\ae.sft" ^ --cache_latents_to_disk ^ --save_model_as safetensors ^ --sdpa --persistent_data_loader_workers ^ --max_data_loader_n_workers 2 ^ --seed 42 ^ --gradient_checkpointing ^ --mixed_precision bf16 ^ --save_precision bf16 ^ --network_module networks.lora_flux ^ --network_dim 4 ^ --optimizer_type adafactor ^ --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" ^ --lr_scheduler constant_with_warmup ^ --max_grad_norm 0.0 ^--sample_prompts="C:\Users\micha\pinokio\api\fluxgym.git\outputs\p4tr1ck\sample_prompts.txt" --sample_every_n_steps="150" ^ --learning_rate 8e-4 ^ --cache_text_encoder_outputs ^ --cache_text_encoder_outputs_to_disk ^ --fp8_base ^ --highvram ^ --max_train_epochs 16 ^ --save_every_n_epochs 4 ^ --dataset_config "C:\Users\micha\pinokio\api\fluxgym.git\outputs\p4tr1ck\dataset.toml" ^ --output_dir "C:\Users\micha\pinokio\api\fluxgym.git\outputs\p4tr1ck" ^ --output_name p4tr1ck ^ --timestep_sampling shift ^ --discrete_flow_shift 3.1582 ^ --model_prediction_type raw ^ --guidance_scale 1 ^ --loss_type l2 ^