Stable Diffusion is a deep learning, text-to-image model released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt. Stable Diffusion is a latent diffusion model, a kind of deep generative artificial neural network. Its 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. Stable Diffusion WebUI is a browser interface based on the Gradio library for Stable Diffusion. It is a web app that gives you access to Stable Diffusion models. The Stable Diffusion WebUI is built upon the Gradio library, offering a convenient way to interact with and explore the capabilities of Stable Diffusion. Gradio is a powerful Python library that simplifies the process of creating interactive interfaces for machine learning models. What can we do at Stable Difussion? • Generate images simply by describing them using text. • Generate images using other images. • Correct images or even remove/add new elements to an image. • Descensor images. • Rescale images to higher resolutions (NHU_3131) And much more…