serbdev/test

1accelerate launch \2  --mixed_precision bf16 \3  --num_cpu_threads_per_process 1 \4  sd-scripts/flux_train_network.py \5  --pretrained_model_name_or_path "/app/fluxgym/models/unet/flux1-schnell.safetensors" \6  --clip_l "/app/fluxgym/models/clip/clip_l.safetensors" \7  --t5xxl "/app/fluxgym/models/clip/t5xxl_fp16.safetensors" \8  --ae "/app/fluxgym/models/vae/ae.sft" \9  --cache_latents_to_disk \10  --save_model_as safetensors \11  --sdpa --persistent_data_loader_workers \12  --max_data_loader_n_workers 2 \13  --seed 42 \14  --gradient_checkpointing \15  --mixed_precision bf16 \16  --save_precision bf16 \17  --network_module networks.lora_flux \18  --network_dim 4 \19  --optimizer_type adafactor \20  --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" \21  --lr_scheduler constant_with_warmup \22  --max_grad_norm 0.0 \--sample_prompts="/app/fluxgym/outputs/test/sample_prompts.txt" --sample_every_n_steps="10" \23  --learning_rate 8e-4 \24  --cache_text_encoder_outputs \25  --cache_text_encoder_outputs_to_disk \26  --fp8_base \27  --highvram \28  --max_train_epochs 12 \29  --save_every_n_epochs 4 \30  --dataset_config "/app/fluxgym/outputs/test/dataset.toml" \31  --output_dir "/app/fluxgym/outputs/test" \32  --output_name test \33  --timestep_sampling shift \34  --discrete_flow_shift 3.1582 \35  --model_prediction_type raw \36  --guidance_scale 1 \37  --loss_type l2 \