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.
Note: If you have installed "accelerate>=0.16.0" you can use the following code to run
inference from an intermediate checkpoint.


	Copied
from diffusers import DiffusionPipeline, UNet2DC