Unconditional image generation
	











Unconditional image generation is a relatively straightforward task. The model only generates images - without any additional context like text or an image - resembling the training data it was trained on.
The DiffusionPipeline is the easiest way to use a pre-trained diffusion system for inference.
Start by creating an instance of DiffusionPipeline and specify which pipeline checkpoint you would like 