yperparameters if you wish.

Performing inference using a saved checkpoint
	
Saved checkpoints are stored in a format suitable for resuming training. They not only include the model weights, but also the state of the optimizer, data loaders and learning rate.
You can use a checkpoint for inference, but first you need to convert it to an inference pipeline. This is how you could do it:


	Copied
from accelerate import Accelerator
from diffusers 