As ardent explorers of the AI frontier, we’re always thrilled to experiment with the latest advancements, and today, we’ve set our sights on DreamShaper versions 5 and 6 by Leonardo.ai. These specialized Stable Diffusion models promise to deliver better images, infusing more realism and detail into every creation.
June 1, 2023, is National Dinosaur Day (yes, it’s also celebrated on the third Tuesday in May; confusing, we know!). To mark this occasion, we embarked on an exciting journey through time and space with our AI-powered image generator, DreamStudio, and some prehistoric friends!
Artificial intelligence is a constantly evolving frontier, and one of the most fascinating applications of AI lies in the realm of creativity – especially with AI models like DreamStudio and DALL-E. These AI artists have been churning out fantastical images based on our prompts, and today we want to dive deeper into how the subtle nuances of a prompt can dramatically influence the final art piece.
In the cosmic expanse of sci-fi inspiration, we challenged two of our AI artists, Stable Diffusion (via DreamStudio) and the recently on-boarded DALL-E, to a creative duel. Each contender was given the same prompts, a mix of otherworldly landscapes, advanced technology, and alien beings. And while their interpretations varied, they each added their unique brushstrokes to our virtual art gallery.
This exercise using Stable Diffusion via DreamStudio offered an intriguing insight into how different AI models interpret and represent complex and abstract ideas. Each piece was a unique blend of the expected and the unexpected, reflecting the distinctive capabilities and limitations of the AI models.
In the continuous quest to explore how artificial intelligence grasps and generates different artistic styles, we again turned to Stable Diffusion, leveraging the capabilities of DreamStudio. This time, however, our approach was twofold: a comparative analysis between Stable Diffusion 1.5 (SD 1.5) and Stable Diffusion 2.1 (SD 2.1). In both iterations, the same styles were tested, enabling us to discern how different versions of the AI model fared with the same prompts.
Spring has finally arrived here at Neural Imaginarium, unfurling its vibrant hues after a particularly long winter. It’s a universally appreciated respite, a breath of fresh, blossom-scented air that fills us with renewed energy and excitement. Inspired by the long-awaited arrival of the season, we embarked on an exploration of how DreamStudio, our resident AI artist, handles the task of reimagining famous floral artworks.
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.
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.