s=1 \
  --learning_rate=1e-4 \
  --lr_warmup_steps=500 \
  --mixed_precision=no \
  --push_to_hub


Training with multiple GPUs
	
accelerate allows for seamless multi-GPU training. Follow the instructions here
for running distributed training with accelerate. Here is an example command:


	Copied
accelerate launch --mixed_precision="fp16" --multi_gpu train_unconditional.py \
  --dataset_name="huggan/pokemon" \
  --resolution=64 --center_crop --