a synthetic image of a river landscape and an imaginary night sky (c by Rombach et. al. 2022)

Stable Diffusion

Lecture: Björn Ommer. Tue 11 June, 2024, 7 pm, Room E.O3.26 (Emergent Digital Media class), New Building, Academy of Fine Arts Munich

Since 2022, Stable Diffusion has become one of the most impor­tant gen­er­a­tive mod­els in the field of so-called arti­fi­cial intel­li­gence, along­side Midjourney and Open AI’s Dall‑E. Since Stable Diffusion aligns with the open source idea, it is fun­da­men­tal­ly impor­tant as an image gen­er­a­tion tool for artists. Stable Diffusion is being devel­oped just a few metres away from the Academy of Fine Arts Munich, at the Ludwig-Maximilians-University Munich. Prof. Björn Ommer, is in con­ver­sa­tion about the ori­gins and future of Stable Diffusion, invit­ed by the Class for Emergent Digital Media at the AdBK.

Professor Dr. Björn Ommer heads the Computer Vision & Learning Group at LMU Munich. His research inter­ests include seman­tic image and video under­stand­ing based on machine learn­ing, gen­er­a­tive approach­es for visu­al syn­the­sis, explain­able AI, and self-super­vised learn­ing par­a­digms and their inter­dis­ci­pli­nary appli­ca­tions in the dig­i­tal human­i­ties and neu­ro­sciences. https://ommer-lab.com

Image Credits: (Rombach et al. 2022)