with 250 steps (by around 0.4 in FID) and have good generalization on different variance schedules. 
The original codebase can be found here.

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

PNDMPipeline
	

class diffusers.PNDMPipeline

<
source
>
(
unet: UNet2DModel
scheduler: PNDMScheduler

)


Parameters 

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


scheduler 