xed_precision=no \
  --push_to_hub

Or if you want to train your model on the Pokemon dataset:


	Copied
accelerate launch train_unconditional.py \
  --dataset_name="huggan/pokemon" \
  --resolution=64 \
  --output_dir="ddpm-ema-pokemon-64" \
  --train_batch_size=16 \
  --num_epochs=100 \
  --gradient_accumulation_steps=1 \
  --learning_rate=1e-4 \
  --lr_warmup_steps=500 \
  --mixed_precision=no \
  --push_to_hub


Training with multiple GPUs
