PixelDiT: Pixel Diffusion Transformers for Image Generation Pixel Diffusion Transformers for Image Generation, 1.3B, no VAE

PixelDiT is a 1.3B parameter diffusion transformer model that generates images directly in pixel space without requiring a VAE (Variational Autoencoder), representing an alternative approach to traditional latent diffusion methods used in image generation. This model combines transformer architecture with diffusion-based generation to produce images, potentially offering different trade-offs in quality, speed, and resource requirements compared to VAE-based approaches. The discussion appears to be from the Stable Diffusion community, suggesting interest in this as an emerging alternative or complement to existing image generation frameworks.

Source: r/StableDiffusion | 2026-06-02