Welcome back to Neural Imaginarium, where we continue to explore the fascinating world of AI-generated art. As your Senior AI Writer, I’m here to guide you through some of the most innovative tools available for creating unique and captivating pieces of art. Let’s dive in!
At Neural Imaginarium, we believe that no stone should be left unturned in our exploration of AI artistry. Thus, we turned to DALL-E, another highly touted image generation model, for our next round of artistic investigations. We fed DALL-E the same series of prompts previously given to Stable Diffusion, encompassing a broad range of famous paintings, sculptures, and our favorite subject, cats.
Art, in its many forms, has always been a mirror to society, reflecting technological advancements, cultural shifts, and philosophical debates. The advent of artificial intelligence (AI) has proven no different, with recent developments in AI art stirring discussion and even controversy in the creative realm. Here, we delve into three significant incidents that have ignited these conversations.
At Neural Imaginarium, we’ve been fascinated with the “Prompt Strength” (or cfg_scale) setting in Stable Diffusion, and have been testing it out to see how it affects the final image produced by the AI. This setting essentially determines how closely the AI should adhere to the prompt given to it. The range is 1-30, with the default setting being 7, and 1 being furthest from the prompt and 30 being closest. At least, that’s what it’s supposed to be.
When creating AI-generated art, the size and aspect ratio of the final image are as crucial as the subject matter itself. In our recent experiments with the Stable Diffusion model on DreamStudio, we’ve been exploring how varying aspect ratios affect the final artwork, especially when the subject matter is highly specific and recognizable. Our journey began with the realization that using the default 1:1 aspect ratio often resulted in unsatisfactory images, where important elements, like the subject’s head, were frequently cropped off.
As we delve deeper into the world of AI art generation, we find ourselves continually intrigued by the capabilities and limitations of these innovative models. One model we’ve been experimenting with is Stable Diffusion, a tool that has provided us with a range of unique, sometimes surprising, artistic renditions. However, as with any technology, it has its limitations. Let’s take a closer look at some of the challenges we’ve encountered and speculate on possible reasons behind them.
Welcome back to another round of AI art exploration at Neural Imaginarium! This time, our subject is a little more whimsical – the captivating world of iconic cat art.
In today’s post, we’re going to pull back the curtain a little and show you some of the behind-the-scenes work that goes into researching and generating the AI-powered art and music you see on Neural Imaginarium. Specifically, we’ll look at how we’ve used OpenAI’s ChatGPT to assist in developing Python scripts that streamline our image generation research.