An implementation of Denoising Diffusion Probabilistic Models (DDPMS) with experiments on different beta schedulers.
-
Updated
Dec 9, 2022 - Jupyter Notebook
An implementation of Denoising Diffusion Probabilistic Models (DDPMS) with experiments on different beta schedulers.
Simple KES blends Karras and Exponential noise scheduling for high-quality images with adaptable detail, real-time config reloading, and parameter randomization for creative flexibility.
Add a description, image, and links to the noise-schedules topic page so that developers can more easily learn about it.
To associate your repository with the noise-schedules topic, visit your repo's landing page and select "manage topics."