Stable Diffusion with 🧨 Diffusers
Aug 23, 2023
Summary
This post details the implementation of Denoising Diffusion Probabilistic Models (DDPMs) in PyTorch, covering the forward diffusion process, defining the neural network architecture (U-Net), training procedures, and inference sampling. It provides a step-by-step guide to understanding and implementing these models.
More from the Diffusers Library Updates trail
- Bringing Nunchaku 4-bit Diffusion Inference to Diffusers
- Introducing Modular Diffusers - Composable Building Blocks for Diffusion Pipelines
- Introducing Waypoint-1: Real-time interactive video diffusion from Overworld
- AI for Game Development: Creating a Farming Game in 5 Days. Part 1
- Training Stable Diffusion with Dreambooth using Diffusers