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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 .
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.
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 ...
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 ...
Under an idealized reaction condition for A + B → product in a diluted solution, Smoluchovski suggested that the molecular flux at the infinite time limit can be calculated from Fick's laws of diffusion yielding a fixed/stable concentration gradient from the target molecule, e.g. B is the target molecule holding fixed relatively, and A is the ...
The RTE is a differential equation describing radiance (, ^,).It can be derived via conservation of energy.Briefly, the RTE states that a beam of light loses energy through divergence and extinction (including both absorption and scattering away from the beam) and gains energy from light sources in the medium and scattering directed towards the beam.
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.
The convection–diffusion equation is a combination of the diffusion and convection ( advection) equations, and describes physical phenomena where particles, energy, or other physical quantities are transferred inside a physical system due to two processes: diffusion and convection. Depending on context, the same equation can be called the ...