Pipelines
	
The DiffusionPipeline is the easiest way to load any pretrained diffusion pipeline from the Hub and to use it in inference.
One should not use the Diffusion Pipeline class for training or fine-tuning a diffusion model. Individual 
	components of diffusion pipelines are usually trained individually, so we suggest to directly work 
	with `UNetModel` and `UNetConditionModel`.

Any diffusion pipeline that is loaded with from_pretrained(