--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
An example trained model: https://huggingface.co/anton-l/ddpm-ema-pokemon-64
A full training run takes 2 hours on 4xV100 GPUs.


Using your own data
	
To use your own dataset, ther