 has found the following parameters to work well: --learning_rate=5e-6 --max_train_steps can be anywhere between 1000 and 2000 --freeze_model=crossattn use at least 15-20 images to train with single concept multiple concepts    Copied export MODEL_NAME="CompVis/stable-diffusion-v1-4"
export OUTPUT_DIR="path-to-save-model"
export INSTANCE_DIR="./data/cat"

accelerate launch train_custom_diffusion.py \
  --pretrained_model_name_or_path=$MODEL_NAM