Robin Rombach
Biography
Robin is a research scientist at Stability AI. After studying physics at the University of Heidelberg
from 2013-2020, he started a PhD in computer science in the Computer Vision group in
Heidelberg in 2020 under the supervision of Björn Ommer and moved to LMU Munich with the
research group in 2021. His research focuses on generative deep learning models, in particular
text-to-image systems.During his PhD, Robin was instrumental in the development and
publication of several now widely used projects, such as VQGAN and Taming Transformers, and
Latent Diffusion Models. In collaboration with Stability AI, Robin scaled the latent diffusion
approach and published a series of models now known as Stable Diffusion, which have been
widely adapted by the community. His subsequent works at Stability AI include SDXL,
Stable Video Diffusion, Adversarial Diffusion Distillation and Stable Diffusion 3.
Robin is a proponent of open source ML models.
from 2013-2020, he started a PhD in computer science in the Computer Vision group in
Heidelberg in 2020 under the supervision of Björn Ommer and moved to LMU Munich with the
research group in 2021. His research focuses on generative deep learning models, in particular
text-to-image systems.During his PhD, Robin was instrumental in the development and
publication of several now widely used projects, such as VQGAN and Taming Transformers, and
Latent Diffusion Models. In collaboration with Stability AI, Robin scaled the latent diffusion
approach and published a series of models now known as Stable Diffusion, which have been
widely adapted by the community. His subsequent works at Stability AI include SDXL,
Stable Video Diffusion, Adversarial Diffusion Distillation and Stable Diffusion 3.
Robin is a proponent of open source ML models.
Presentations
Key Events
Technical Papers
