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Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.
The 3DBenchy is a 3D computer model specifically designed for testing the accuracy and capabilities of 3D printers. [1] The 3DBenchy is described by its creator, Creative Tools, as "the jolly 3D printing torture-test" and was released (initially only in STL format) in April 2015, with a multi-part, multi-colour model released in July 2015.
The goal of diffusion models is to learn a diffusion process for a given dataset, such that the process can generate new elements that are distributed similarly as the original dataset. A diffusion model models data as generated by a diffusion process, whereby a new datum performs a random walk with drift through the space of all possible data. [2]
Thingiverse is one of the first websites [15] to allow customization of parametric designs made with OpenSCAD. OpenSCAD is a free and open source software that uses scripting to design 3D objects. [16] Many 3D printers can be upgraded with 3D-printed parts. Thingiverse users produce many improvements and modifications for a variety of platforms.
The LDM is an improvement on standard DM by performing diffusion modeling in a latent space, and by allowing self-attention and cross-attention conditioning. LDMs are widely used in practical diffusion models. For instance, Stable Diffusion versions 1.1 to 2.1 were based on the LDM architecture. [4]
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022 A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.