diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. A...

The Latent Diffusion Model (LDM) is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) group at LMU Munich. Introduced...

Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology...

The Bass model or Bass diffusion model was developed by Frank Bass. It consists of a simple differential equation that describes the process of how new...

Reaction–diffusion systems are mathematical models that correspond to several physical phenomena. The most common is the change in space and time of the...

behind DALL-E 3. According to OpenAI, Sora is a diffusion transformer – a denoising latent diffusion model with one Transformer as the denoiser. A video...

Diffusion of innovations is a theory that seeks to explain how, why, and at what rate new ideas and technology spread. The theory was popularized by Everett...

photographs and human-drawn art. Text-to-image models are generally latent diffusion models, which combine a language model, which transforms the input text into...

diffusion tensor. The diffusion tensor model is a rather simple model of the diffusion process, assuming homogeneity and linearity of the diffusion within...

1967: jump diffusion of rotational degrees of freedom Hall, Ross 1981: jump diffusion within a restricted volume A jump-diffusion model is a form of...

video diffusion models. There are different models, including open source models. Chinese-language input CogVideo is the earliest text-to-video model "of...

Facilitated diffusion (also known as facilitated transport or passive-mediated transport) is the process of spontaneous passive transport (as opposed...

alternatives could be tracked separately. The drift-diffusion model (DDM) is a well defined model, that is proposed to implement an optimal decision policy...

Text-to-Image Diffusion Models". imagen.research.google. Archived from the original on 2024-03-27. Retrieved 2024-04-04. "Pretrained models — transformers...

spinodal decomposition. Diffusion is a stochastic process due to the inherent randomness of the diffusing entity and can be used to model many real-life stochastic...

company co-released an improved version of their Latent Diffusion Model called Stable Diffusion together with the CompVis Group at Ludwig Maximilian University...

language models developed by Anthropic. The first model was released in March 2023. The Claude 3 family, released in March 2024, consists of three models: Haiku...

to model many real-life stochastic systems. Brownian motion, reflected Brownian motion and Ornstein–Uhlenbeck processes are examples of diffusion processes...

diffusion modeling provides one promising theoretical model. Diffusion modeling partitions RT into residual "non-decision" and stochastic "diffusion"...

transformer-based models are used for text-to-image technologies such as diffusion and parallel decoding. Such kinds of models can serve as visual foundation models (VFMs)...

Willison, compared LLaMA to Stable Diffusion, a text-to-image model which, unlike comparably sophisticated models which preceded it, was openly distributed...

(2022), Phenaki (2023), and Muse (2023). Unlike later models, DALL-E is not a diffusion model. Instead, it uses a decoder-only Transformer that autoregressively...

addition to simple diffusion. These models can be applied to limb formation and teeth development among other examples. Reaction-diffusion models can be used...

Demic diffusion, as opposed to trans-cultural diffusion, is a demographic term referring to a migratory model, developed by Luigi Luca Cavalli-Sforza...

from a series of text prompts. It uses free diffusion models such as Stable Diffusion as the base model for its image capabilities combined with other...

seen as a local volatility model d F t = v d W t {\displaystyle dF_{t}=v\,dW_{t}} . In the Bachelier model the diffusion coefficient is a constant v...

In cultural anthropology and cultural geography, cultural diffusion, as conceptualized by Leo Frobenius in his 1897/98 publication Der westafrikanische...

text vectors are used as conditioning on a diffusion model. As another example, the AuraFlow diffusion model uses Pile-T5-XL. Raffel, Colin; Shazeer, Noam;...

users to generate images from a text prompt. It uses Stable Diffusion as the base model for its image capabilities together with a large set of extensions...

During the AI boom of the early 2020s, text-to-image models such as Midjourney, DALL-E, Stable Diffusion, and FLUX.1 became widely available to the public...