$model="Z:\path\to\ponyDiffusionV6XL_v6StartWithThisOne.safetensors"
$inputs="Z:\Inputs"
$output="Z:\path\to\Lora"

$batch_size=2   # !! VRAM !! change to 1 or use checkpointing if VRAMlet.
$steps = 3000   #3000 is arbitrary, constant means you eyeball epochs with XYZ plot, pick whichever looks good.
$DIM = 8
$ALPHA = 32 #ratio is irrelevant, note below on d_coef

.\venv\scripts\activate

accelerate launch --gpu_ids=1 --num_cpu_threads_per_process 8 sdxl_train_network.py `
    `
    --pretrained_model_name_or_path="$model" `
    --train_data_dir=$inputs `
    --output_dir="$output" `
    `
    --shuffle_caption `
    --caption_extension=".txt" `
    `
    --random_crop `
    --enable_bucket `
    --bucket_reso_steps=64 `
    --min_bucket_reso=512 `
    --max_bucket_reso=2048 `
    --resolution="1024,1024" `
    `
    --max_train_steps=$steps `
    --train_batch_size=$batch_size `
    --network_dim=$DIM --network_alpha=$ALPHA `
    `
    --network_train_unet_only `
    <#
    preset optional: https://raw.githubusercontent.com/ThereforeGames/blora_for_kohya/main/lycoris_presets/blora_content_layout_style.toml
    dropout or dora ( dora_wd=True ) optional
    locon ( algo="locon") optional
    #> `
    --loss_type="huber" `
    --huber_schedule="snr" `
    --huber_c=0.1 `
    `
    --network_args "preset=Z:/path/to/sd-scripts/blora_content_style.toml" "algo=lora" "dropout=0.25" `
    --network_module="lycoris.kohya" `
    `
    --lr_scheduler="constant" `
    --optimizer_type="prodigy" `
    <#adjust d_coef down when it burns and alpha up (within reason) to avoid going *too* slow. #> `
    --optimizer_args "weight_decay=0.01" "betas=(0.9,0.999)" "d_coef=0.2" `
    --text_encoder_lr=1.0 `
    --unet_lr=1.0 `
    `
    --seed=8008135 `
    --save_every_n_epochs=1 --save_model_as="safetensors" --save_precision="fp16"  --mixed_precision="fp16" `
    --prior_loss_weight=1 --max_grad_norm=1.0 `
    --xformers --no_half_vae `
    --persistent_data_loader_workers --max_data_loader_n_workers=1 `
    #nothing