aining command to keep track of results. This can be really useful for debugging the model and viewing intermediate results. prior model decoder model    Copied export DATASET_NAME="lambdalabs/pokemon-blip-captions"

accelerate launch --mixed_precision="fp16"  train_text_to_image_prior.py \
  --dataset_name=$DATASET_NAME \
  --resolution=768 \
  --train_batch_size=1 \
  --gradient_accumulation_steps=4 \
  --max_train_steps=15000 \
  --learning_