finetune_lora.sh

export MODEL_NAME="runwayml/stable-diffusion-v1-5"
export TRAIN_DIR="/l/vision/v5/sragas/easel_ai/thumbs_up_dataset/"
export OUTPUT_DIR="/l/vision/v5/sragas/easel_ai/models/"
export HUB_MODEL_ID="sachin-thumbs-up-lora"

accelerate launch --mixed_precision="fp16"  train_text_to_image_lora.py \
  --pretrained_model_name_or_path=$MODEL_NAME \
  --train_data_dir=$TRAIN_DIR \
  --resolution=512 --center_crop --random_flip \
  --train_batch_size=2 \
  --gradient_accumulation_steps=4 \
  --num_train_epochs=300 \
  --learning_rate=1e-6 \
  --max_grad_norm=1 \
  --lr_scheduler="cosine" --lr_warmup_steps=500 \
  --output_dir=${OUTPUT_DIR} \
  --checkpointing_steps=500 \
  --report_to=wandb \
  --validation_prompt="<tom_cruise> #thumbsup" \
  --seed=15 \
  --push_to_hub \
  --hub_model_id=${HUB_MODEL_ID}