The world of art is no stranger to controversy, but a new debate has emerged that has artists, lawyers, and technologists at odds. The question at the heart of the matter is this: Is AI-generated art infringing on the rights of artists?
In the ever-evolving world of artificial intelligence, the boundaries between human and machine creations are becoming increasingly blurred. AI-generated art, in particular, has been a subject of intense discussion, raising questions about authorship, creativity, and even the moral standing of AI systems. A notable study titled “On the Social-Relational Moral Standing of AI: An Empirical Study Using AI-Generated Art” provides a comprehensive exploration of this fascinating subject, offering valuable insights into how we perceive and interact with AI-generated art. Published two years ago, this study remains a significant reference in the discourse on AI and art.
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 has come a long way, from assisting in mundane tasks to creating artwork, composing music, and even crafting poetry. The realm of AI-generated poetry is a fascinating one. With several AI models emerging as ‘poets,’ the question arises: how do these AI models differ in their approach to creating poetry? To answer this, we dove into a poetry slam with two prominent AI models – Bard and ChatGPT.
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.
After bidding adieu to a long winter, we found ourselves on a new endeavor. This time, we stepped into a time machine, embarking on an artistic journey through history, from the shadowy corners of ancient caves to the sleek lines of modern minimalism. With the aid of Stable Diffusion, we decided to delve into a diverse array of art styles, testing the AI’s proficiency and its artistic flexibility.
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.