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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 .
Notable work. Stable Diffusion. Mohammad Emad Mostaque ( Bengali: মোহম্মদ ইমাদ মোশতাক; born 17 April 1983) is a British-Bangladeshi business executive, mathematician, and former hedge fund manager. [ 3] He is the founder and was CEO of Stability AI until 23 March 2024, [ 4] one of the companies behind Stable ...
Stability AI was founded in 2019 [citation needed] by Emad Mostaque, who also initially funded the company. [ 1] In August 2022 Stability AI rose to prominence with the release of its source and weights available text-to-image model Stable Diffusion. On March 23rd 2024 Emad Mostaque stepped down from his position as CEO.
ControlNet is a scheduled communication network designed for cyclic data exchange. The protocol operates in cycles, known as NUIs, where NUI stands for Network Update Interval. Each NUI has three phases, the first phase is dedicated to scheduled traffic, where all nodes with scheduled data are guaranteed a transmission opportunity.
Riffusion. Riffusion is a neural network, designed by Seth Forsgren and Hayk Martiros, that generates music using images of sound rather than audio. [ 1] It was created as a fine-tuning of Stable Diffusion, an existing open-source model for generating images from text prompts, on spectrograms. [ 1] This results in a model which uses text ...
In a turbomolecular pump, a rapidly spinning fanrotor 'hits' gas molecules from the inlet of the pump towards the exhaust in order to create or maintain a vacuum. Operating principles. [edit] Most turbomolecular pumps employ multiple stages, each consisting of a quickly rotating rotor bladeand stationary stator bladepair. The system is an axial ...
Diffusion maps exploit the relationship between heat diffusion and random walk Markov chain.The basic observation is that if we take a random walk on the data, walking to a nearby data-point is more likely than walking to another that is far away.
In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. A diffusion model consists of three major components: the forward process, the reverse process, and the sampling procedure. [ 1] The goal of diffusion models is to learn a ...