Explore the latest research in image generation with the Hourglass Diffusion Transformer (HDiT). This paper presents a new approach in high-resolution image synthesis, setting itself apart by handling large-scale images more efficiently than traditional methods. It's an insightful read for those interested in the technical advancements of image generation, offering a deep dive into the complexities and innovations in this field.

We introduce Adversarial Diffusion Distillation (ADD), a novel training approach that efficiently samples large-scale foundational image diffusion models in just 1–4 steps while maintaining high image quality.

We present Stable Video Diffusion — a latent video diffusion model for high-resolution, state-of-the-art text-to-video and image-to-video generation.

Stable Audio represents the cutting-edge audio generation research by Stability AI’s generative audio research lab, Harmonai.

Stability AI is proud to support research teams across the globe by providing compute power.

Compared to previous versions of Stable Diffusion, SDXL leverages a three times larger UNet backbone.

Natural language processing and 2D vision models have attained remarkable proficiency on many tasks primarily by escalating the scale of training data.

A cutting-edge method for reconstructing and retrieving images from fMRI brain activity.

We are excited to release five trained OpenFlamingo models across the 3B, 4B, and 9B scales.

Discover the groundbreaking project led by top researchers from Tel Aviv University and the Technion Institute of Technology.