Latent diffusion models are a term from the fields of artificial intelligence, digital transformation, and big data. They describe a special method by which modern computer programs can generate and process images or other data.
Imagine you want to create a photorealistic image from a simple sketch. Latent diffusion models use large amounts of data to learn what real images look like. They „diffuse“ – meaning they spread – noise (disturbances) across the image, and learn step by step how to recover the perfect image from the noise. What's special about this is that they perform this process in a so-called „latent space“ – this is like a kind of intermediate world where only the most important information about the image is summarised.
A vivid example: Modern AI image generators like Midjourney or Stable Diffusion use Latent Diffusion Models to create impressive graphics from simple text inputs. This allows companies to quickly and affordably develop advertising material or design ideas without having to commission a photographer or designer. Latent Diffusion Models therefore make many creative processes in the digital world simpler, faster, and more efficient.
Deutsch 
English (UK)