ate-of-the-art FID score of 3.17. On 256x256 LSUN, we obtain sample quality similar to ProgressiveGAN.
The original codebase of this paper can be found here.

Available Pipelines:
	
Pipeline
Tasks
Colab
pipeline_ddpm.py
Unconditional Image Generation
-

DDPMPipeline
	

class diffusers.DDPMPipeline

<
source
>
(
unet
scheduler

)


Parameters 

unet (UNet2DModel) — U-Net architecture to denoise the encoded image.


scheduler (SchedulerMixin) —
A