This repository contains an implementation of a diffusion model trained on pixel art images using a U-Net architecture. The model progressively learns to generate pixel art images from noise by ...

Basic Denoising Diffusion Probabilistic Model image generator implemented in PyTorch. Reproduces Denoising Diffusion Probabilistic Models.. Developed as an educational project, with the aim of having ...

By fusing the power of transformers with diffusion models, DiTs challenge traditional architectural norms and offer a promising avenue for research and real-world applications. The comprehensive ...

The improved typography in Stable Diffusion 3.0 is the result of several improvements that Stability AI has built into the new model. “This is thanks to both the transformer architecture and ...

Announcing Stable Diffusion 3, our most capable text-to-image model, utilizing a diffusion transformer architecture for greatly improved performance in multi-subject prompts, image quality, and ...

Vehicle trajectory prediction is crucial for ensuring the safety and reliability of autonomous driving systems. Due to the highly stochastic nature of road participants’ behaviors, it is vital that ...