Looking at what the machine model Stable Diffusion 2 does with prompts you can see some of the generated images of are rendered bear no relation to reality. Take a look at the Caribbean street scene images and you'll see the architecture is similar. In fact, take a look at Montserrat's capital city, Plymouth and instead of being a city hit by volcanic dust the generator made a picturesque something else.
Also take note of the artifacts created by the model, in particular umbrellas, hands and legs. It also does some pretty strange faces as well.
Stable Diffusion's code and model weights have been released publicly, and it can run on most consumer hardware equipped with a modest GPU with at least 8 GB VRAM. This marked a departure from previous proprietary text-to-image models such as DALL-E and Midjourney which were accessible only via cloud services.
A good explanation of what a diffusion model is can be found here and Andrew Ng has a course on Coursera on Generative AI.
Explore the revolutionary capabilities of Stable Diffusion 2, a cutting-edge machine model reshaping the boundaries of reality through its intricate image generation. Delve into the Caribbean street scene images and witness the striking similarity in architecture, transcending the ordinary. Montserrat's capital city, Plymouth, transforms into a picturesque wonderland under the influence of this groundbreaking generator, evading the volcanic dust that typically defines it.
Take note of the captivating artifacts meticulously crafted by the model—umbrellas, hands, legs, and even unconventional facial expressions. These elements add a layer of surrealism to the generated images, showcasing the model's versatility and creativity.
What sets Stable Diffusion apart? Unveiled in 2022, Stable Diffusion is a deep learning, text-to-image model that excels in generating detailed images based on textual prompts. Developed as a latent diffusion model by the CompVis group at LMU Munich, this neural network collaboration between Stability AI, CompVis LMU, and Runway has garnered substantial support from EleutherAI and LAION, raising an impressive US$101 million in October 2022.
Unlike its predecessors, Stable Diffusion breaks free from the confines of proprietary models. Its code and model weights are publicly accessible, enabling seamless operation on most consumer hardware equipped with a modest GPU boasting at least 8 GB VRAM. This marks a departure from previous text-to-image models like DALL-E and Midjourney, which were exclusively accessible through cloud services.
Interested in understanding the intricacies of diffusion models? Gain insights here, and explore Generative AI through Andrew Ng's Coursera course.
Engage with the model firsthand by experimenting with the image generator on this site, creating your own mesmerizing images. To unleash Stable Diffusion's full potential on a local computer, ensure you have a robust GPU.
Discover the behind-the-scenes magic by exploring the scrapped images used to birth the Stable Diffusion model. It's a journey into the raw materials of imagination, where chaos and creativity intertwine.
For those seeking a tangible piece of this digital enchantment, NFTs are available for purchase here.
Transition to the real world and explore fascinating details about traditional costumes and a curated list of street foods on Wikipedia. Stable Diffusion serves as the gateway to a universe of endless possibilities, where imagination knows no bounds.