DB WSL + Ubuntu

**Without preservation/class:**

export MODEL_NAME="CompVis/stable-diffusion-v1-4"
export INSTANCE_DIR="training"
export OUTPUT_DIR="my_model"

accelerate launch train_dreambooth.py \
  --pretrained_model_name_or_path=$MODEL_NAME  \
  --instance_data_dir=$INSTANCE_DIR \
  --output_dir=$OUTPUT_DIR \
  --instance_prompt="cialde" \
  --resolution=512 \
  --train_batch_size=1 \
  --learning_rate=5e-6 \
  --lr_scheduler="constant" \
  --lr_warmup_steps=0 \
  --gradient_accumulation_steps=2 --gradient_checkpointing \
  --use_8bit_adam \
  --max_train_steps=2000

**With preservation and class:**

export LD_LIBRARY_PATH=/usr/lib/wsl/lib:$LD_LIBRARY_PATH
export MODEL_NAME="CompVis/stable-diffusion-v1-4"
export INSTANCE_DIR="training"
export CLASS_DIR="classes"
export OUTPUT_DIR="my_model"

accelerate launch train_dreambooth.py \
  --pretrained_model_name_or_path=$MODEL_NAME  \
  --instance_data_dir=$INSTANCE_DIR \
  --class_data_dir=$CLASS_DIR \
  --output_dir=$OUTPUT_DIR \
  --with_prior_preservation --prior_loss_weight=1.0 \
  --instance_prompt="cialde" \
  --class_prompt="guy" \
  --resolution=512 \
  --train_batch_size=1 \
  --learning_rate=5e-6 \
  --lr_scheduler="constant" \
  --lr_warmup_steps=0 \
  --num_class_images=200 \
  --gradient_accumulation_steps=2 --gradient_checkpointing \
  --use_8bit_adam \
  --max_train_steps=2000