Trying to estimate the number of all potential outputs of stable diffusion. Why it is important to have clear goals while navigating the latent space. How long it would take to create any possible output. Why the size is interesting The size of latent space is a measure of the amount of information that can be encoded in a given system. Latent space size isessentialt because it determines how much information can be stored in a system and retrieved later ..read more

Red Cat Series started as an experiment, to determine why Midjourney is able to create stunning portraits but avoids full-body images with faces visible ..read more

NFTs are democratizing art investments and AI-generated art democratizing art creation. Will they reinforce each other, creating a vibrant global and open art market ..read more

AI Artists often say they are exploring the “Latent Space.” The term comes from Machine Learning and describes a finite space in a model. The model contains all knowledge it learned from training in compressed form. For AI Art it refers to all potential outputs that the model allows ..read more

Change I have used some algorithms and filters to transform an image showing leaves, into a series. In the northern hemisphere change is very visible when autumn arrives. Green leaves turn yellow and red, and finally the leaves will fall down, turning the streets into a red-yellow mess. Finally, the leaves will be dissolved consumed by bacteria and other leave eaters. This series tries to capture this process of change ..read more

Every new technology invites speculation and concern about how it will evolve and what impact it will have. The Metaverse promises to create a worry-free virtual world where you work or live. There are, of course, technical challenges. One of them is how to integrate the Metaverse into the real world. Smart lenses might be the solution ..read more

Hegel was a philosopher who lived at the beginning of the nineteenth century. He created only a single book. However, his work is very influential today also because he influenced one of his students, Karl Marx. That makes Hegel the perfect target for NLP experiments ..read more

Transformers can be used for Machine Translation, Text competition, Summarizing text, and Paraphrasing text. Experimentating with it may even result in a short story about the startups and the crypto market ..read more

Creating images and even videos from text input are made possible using various ML models. Midjourney, Dalle-E mini, and AI notebooks allow the creation of pictures and even videos. AI notebooks running in Google Colab will enable you to adjust the process more in detail. Image generation from text combines text and image machine learning ..read more

Transformers can be used for Machine Translation, Text competition, Summarizing text, and Paraphrasing text. Experimentating with it may even result in a short story about the startups and the crypto market ..read more