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Technique for the generative modeling of a continuous probability distribution
diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable generative models.
Diffusion_model
Diffusion model over latent embedding space
The latent diffusion model (LDM) is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) group at LMU Munich. Introduced
Latent_diffusion_model
Mathematical marketing model
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
Bass_diffusion_model
Image-generating machine learning model
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative AI technology is the premier product
Stable_Diffusion
Transport of dissolved species from the highest to the lowest concentration region
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
Diffusion
Type of mathematical model
Reaction–diffusion systems are mathematical models that correspond to several physical phenomena. The most common is the change in space and time of the
Reaction–diffusion_system
Machine learning model
photographs and human-drawn art. Text-to-image models are generally latent diffusion models, which perform the diffusion process in a compressed latent space rather
Text-to-image_model
Machine learning model
video diffusion models. There are different models, including open source models. Chinese-language input CogVideo is the earliest text-to-video model "of
Text-to-video_model
Technique for the generative modeling of a discrete probability distribution
discrete diffusion models are a class of diffusion models, which themselves are a class of latent variable generative models. Each discrete diffusion model consists
Discrete_diffusion_model
Theory on how and why new ideas spread
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
Diffusion_of_innovations
Generative artificial intelligence model
(text-to-video model) Veo (text-to-video model) Generative artificial intelligence Kling (text-to-video model) Runway (company) Diffusion model World model (artificial
LTX_(world_model)
Open source generative artificial intelligence UI
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
ComfyUI
Open source generative artificial intelligence UI
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
Automatic1111
Method of utilizing water in magnetic resonance imaging
diffusion tensor. The diffusion tensor model is a rather simple model of the diffusion process, assuming homogeneity and linearity of the diffusion within
Diffusion-weighted magnetic resonance imaging
Diffusion-weighted_magnetic_resonance_imaging
Concept from evolutionary biology
theory, a reaction–diffusion theory of morphogenesis, has served as an important model in theoretical biology. Reaction–diffusion systems have attracted
Turing_pattern
Study of processing speed on cognitive tasks
diffusion modeling provides one promising theoretical model. Diffusion modeling partitions RT into residual "non-decision" and stochastic "diffusion"
Mental_chronometry
Skills, ideas and experiences
Agnieszka; Buszko, Andrzej (2026-03-25). "Diffusion of tacit knowledge in a company: a mathematical model based on diffusion on graphs". Journal of Knowledge Management:
Tacit_knowledge
Online service for AI media creation
custom version of the source-available Stable Diffusion text-to-image diffusion model called NovelAI Diffusion, which is trained on a Danbooru-based dataset
NovelAI
Type of large language model
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)
Generative pre-trained transformer
Generative_pre-trained_transformer
OpenAI text-to-video models (2024–2026)
behind DALL-E 3. According to OpenAI, Sora is a diffusion transformer, a denoising latent diffusion model with one transformer as its denoiser. A video
Sora_(text-to-video_model)
Demographic concept
In demography, demic diffusion, as opposed to trans-cultural diffusion, is a model of human migration developed by Luigi Luca Cavalli-Sforza. It originally
Demic_diffusion
Image-generating machine learning model
hands with more consistency over previous models such as Stable Diffusion XL. After the release of the model, social media platform X was flooded with
Flux_(text-to-image_model)
Method to measure individual sensitivity
alternatives could be tracked separately. The drift-diffusion model (DDM) is a well defined model, that is proposed to implement an optimal decision policy
Two-alternative_forced_choice
Type of stochastic process
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
Jump_diffusion
Archaeological theory
explorers in the diffusion of innovations between civilizations. The many models that have been proposed for inter-cultural diffusion are: Migrationism
Cultural_diffusion
Visual content generation through artificial intelligence
During the AI boom of the 2020s, text-to-image models such as Midjourney, DALL-E and Stable Diffusion became widely available to the public, allowing
AI_art
Model of diffusion
Ehrenfest model (or dog–flea model) of diffusion was proposed by Tatiana and Paul Ehrenfest in 1907 to explain the second law of thermodynamics. The model considers
Ehrenfest_model
Biological process
Facilitated diffusion (also known as facilitated transport or passive-mediated transport) is the process of spontaneous passive transport (as opposed
Facilitated_diffusion
Sociological model
acclaimed 1962 book Diffusion of Innovations (now in its fifth edition). Bass diffusion model Diffusion (business) Hype cycle Lazy user model Neo-Luddism Technology
Technology adoption life cycle
Technology_adoption_life_cycle
Transport of substances between two fractions with the help of permeable membranes
plants. Two basic models can be distinguished for mass transfer through the membrane: the solution-diffusion model and the hydrodynamic model. In real membranes
Membrane_technology
Process by which the market accepts a new idea or product
Stochastic models – recognize that many elements of the diffusion process are unknown but explicitly incorporate probabilistic terms. Bass diffusion model Coolhunting
Diffusion_(business)
Key morphogen in fruit fly development
the gradient are free diffusion, restricted diffusion, transcytosis, and cytoneme-assisted transport. The free diffusion model assumes Dpp to diffuse
Decapentaplegic
Anime-focused imageboard website
platform, uses a custom version of the Stable Diffusion text-to-image diffusion model called NovelAI Diffusion, which is reported to be trained on a Danbooru-based
Danbooru
Algorithm for modelling sequential data
(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
Transformer_(deep_learning)
Development of limbs in vertebrates
models have acknowledged that neither of these models accounts adequately for the available experimental data. This model, a reaction–diffusion model
Limb_development
Option pricing model
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
Local_volatility
Type of convolutional neural network
Midjourney, and Stable Diffusion. U-Net is also being explored for language models. Tokenization is not a separate step, allowing the model to more easily understand
U-Net
Machine learning methods using multiple input modalities
(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
Multimodal_learning
Public availability of AI parameters
its license. The term is commonly applied to large language models, diffusion models and other generative artificial intelligence. Open weights is contrasted
Open_weights
Mathematical descriptions of molecular diffusion
Fick's laws of diffusion describe diffusion and were first posited by Adolf Fick in 1855 on the basis of largely experimental results. They can be used
Fick's_laws_of_diffusion
American artificial intelligence company
improved version of their latent diffusion model called Stable Diffusion, an open-source deep learning text-to-image model developed with the CompVis Group
Runway_(company)
Artificial intelligence model paradigm
and Stable Diffusion. The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined
Foundation_model
Discrete probability distribution
w_{n}\rbrace } , it is possible to leverage a denoising (reverse-time) diffusion model d U ( t ) = f ( U ( t ) , t ) d t + 2 d W ( t ) , U ( T ) ∼ p T n
Categorical_distribution
American academic (1926–2006)
marketing research and marketing science. He was the creator of the Bass diffusion model that describes the adoption of new products and technologies by first-time
Frank_Bass
Type of machine learning model
A large language model (LLM) is a machine learning model (typically a neural network) trained on a vast amount of text for natural language processing
Large_language_model
State of being the product of intentional human manufacture
Environments (2006), p. 31–48. Greg Turk, Reaction–Diffusion Andrew Witkin, Michael Kassy (1991). "Reaction-diffusion textures" (PDF). Proceedings of the 18th annual
Artificiality
Technique to mark material as AI-generated
Jiajun; Jurgens, David (eds.). LR-DWM: Efficient Watermarking for Diffusion Language Models. Findings of the Association for Computational Linguistics: ACL
AI_watermarking
Study of how patterns form by self-organization in nature
pattern formation in biological systems include the classical reaction–diffusion model proposed by Alan Turing and the more-recently-found elastic instability
Pattern_formation
Metric used to assess image quality
quality of images created by a generative model, like a generative adversarial network (GAN) or a diffusion model. The FID compares the distribution of generated
Fréchet_inception_distance
Paradigm in machine learning that uses no classification labels
features, which can then be used as a module for other models, such as in a latent diffusion model. Tasks are often categorized as discriminative (recognition)
Unsupervised_learning
Image-generating machine learning model
prompts, similar to Stability AI's Stable Diffusion, OpenAI's DALL-E, or Midjourney. The original version of the model was first discussed in a paper from May
Imagen_(text-to-image_model)
Statistical model used in machine learning
alternative generative modeling methods, such as variational autoencoders (VAEs), generative adversarial networks (GANs), or diffusion models, do not explicitly
Flow-based_generative_model
Theorem on changes in stochastic processes
Extending Diffusion Generative Models". arXiv:2208.14699 [cs.LG]. Oko, Kazusato; Akiyama, Shunta; Suzuki, Taiji (2023). "Diffusion Models are Minimax
Girsanov_theorem
Overview of and topical guide to deep learning
neural network Transformer BERT Generative pre-trained transformer Diffusion model History of artificial intelligence History of machine learning Timeline
Outline_of_deep_learning
Machine learning technique
2023). "DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models". NeurIPS 2023. arXiv:2305.16381. Retrieved 1 March 2024. Xu, Jiazheng;
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Machine learning technique
parameters. MoE Transformer has also been applied for diffusion models. A series of large language models from Google used MoE. GShard uses MoE with up to
Mixture_of_experts
Reverse-engineering neural networks
attribution with human-computer interaction methods to analyze models like the vision model Inception v1. Mechanistic interpretability aims to identify structures
Mechanistic_interpretability
Physical phenomenon
Bohm diffusion is much higher than the rate predicted by classical diffusion, which develops from a random walk within the plasma. The classical model scaled
Bohm_diffusion
Diffusion process with a non-linear relationship to time
observable is tracked, such as the magnetization in the Ising model . Examples of anomalous diffusion in nature have been observed in ultra-cold atoms, harmonic
Anomalous_diffusion
2018 text-generating language model
Transformer 1 (GPT-1) is OpenAI's first large language model (LLM) in its GPT series of models, developed following Google's invention of the transformer
GPT-1
Foundation model allowing control of robot actions
directly output continuous actions. This is achieved through the use of diffusion models or flow-matching networks that act as the action decoder. π0 exploited
Vision–language–action_model
Thermal motion of liquid or gas particles at temperatures above absolute zero
Molecular diffusion is the motion of atoms, molecules, or other particles of a gas or liquid at temperatures above absolute zero. The rate of this movement
Molecular_diffusion
Solution to a stochastic differential equation
to model many real-life stochastic systems. Brownian motion, reflected Brownian motion and Ornstein–Uhlenbeck processes are examples of diffusion processes
Diffusion_process
Interactive world generators
prompting, better integration between the diffusion model and Gemini, and internal changes to position the model for future robotic training/integration
Genie_(world_model)
Timeline of major events in artificial intelligence during 2022
text-to-image diffusion model capable of generating photorealistic images from natural language descriptions. August 22 – Stability AI releases Stable Diffusion, an
2022 in artificial intelligence
2022_in_artificial_intelligence
Copyright law in the use of AI
This includes text-to-image models such as Stable Diffusion and large language models such as GPT. Large language models are trained on all the data which
Artificial intelligence and copyright
Artificial_intelligence_and_copyright
Deep learning architecture
Mamba is a deep learning architecture focused on sequence modeling. It was developed by two researchers Albert Gu from Carnegie Mellon University and Tri
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
Series of large language models developed by Google AI
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;
T5_(language_model)
Academic conference in machine learning
scholar.google.es. Retrieved 10 July 2024. "Proposal for A New Publishing Model in Computer Science". yann.lecun.com. Lipton, Zachary Chase. "The ICLR Experiment:
International Conference on Learning Representations
International_Conference_on_Learning_Representations
Machine learning model for vision processing
been used for image generation as backbones for GAN and for diffusion models (diffusion transformer, or DiT). DINO has been demonstrated to learn useful
Vision_transformer
Fluid transport regime by random walk
difficult to develop a concrete and fully functional model that can be applied to the diffusion of a species in all turbulent systems due to the inability
Turbulent_diffusion
Topics referred to by the same term
Look up diffusion in Wiktionary, the free dictionary. Diffusion is a time-dependent random process causing a spread in space. Diffusion may also refer
Diffusion_(disambiguation)
2020 text-generating language model
model released by OpenAI in 2020 as part of the company's GPT series of models. Like its predecessor, GPT-2, it is a decoder-only transformer model of
GPT-3
by large language models such as GPT-4. Diffusion models were first described in 2015, and became the basis of image generation models such as DALL-E in
History of artificial neural networks
History_of_artificial_neural_networks
Embedding of data within a manifold based on a similarity function
task of understanding it. Analysis of the latent space geometry of diffusion models reveals a fractal structure of phase transitions in the latent space
Latent_space
Machine-learning and computational-neuroscience conference
from efforts to solve purely engineering problems to the use of computer models as a tool for understanding biological nervous systems. Since then, the
Conference on Neural Information Processing Systems
Conference_on_Neural_Information_Processing_Systems
Flaw in mathematical modelling
generative deep learning models such as Stable Diffusion and GitHub Copilot being sued for copyright infringement because these models have been found to be
Overfitting
Theoretical modelling of decompression physiology
nitrogen. The concentration gradient, can be used as a model for the driving mechanism of diffusion. In this context, inert gas refers to a gas which is
Decompression_theory
Academic conference in machine learning
Feedforward neural network Recurrent neural network LSTM GRU Restricted GAN Diffusion model SOM Convolutional neural network U-Net DeepDream Neural field Neural
International Conference on Machine Learning
International_Conference_on_Machine_Learning
Information systems theory
mobile commerce, and online banking. Diffusion (business) Diffusion of innovations Domestication theory Lazy user model List of marketing topics New product
Technology_acceptance_model
Machine learning technique
faster parallel attention scheme, which has largely replaced RNN in frontier models since BERT, T5 and GPT. Inspired by ideas about attention in humans, the
Attention_(machine_learning)
Machine learning calibration technique
Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over classes. The method was invented by
Platt_scaling
Statistical Markov model
In probability theory, a hidden Markov model (HMM) is a Markov model in which the observations are dependent on a latent (or hidden) Markov process (referred
Hidden_Markov_model
Increasing value with increasing participation
modelling method to describe the phenomena. Word of mouth and the Bass diffusion model are also potentially applicable. The next major advance occurred between
Network_effect
Concept in machine learning
information during model training that would not be available at prediction time. This results in overly optimistic performance estimates, as the model appears to
Leakage_(machine_learning)
Bangladeshi-British businessman (born 1983)
resources to support the project, and the model was officially released in August 2022 under the name Stable Diffusion. Rombach, Blattmann, Esser and Lorenz
Emad_Mostaque
Text-to-image and text-to-video AI model family developed by Sber
2022. The new model dropped autoregression for latent diffusion, on the model of Stable Diffusion. Two multilingual encoders, XLM-R-CLIP and mT5-small
Kandinsky (artificial intelligence)
Kandinsky_(artificial_intelligence)
Region of the Middle East
G; Beaumont, MA (2002). "Y genetic data support the Neolithic demic diffusion model". Proc. Natl. Acad. Sci. USA. 99 (17): 11008–11013. Bibcode:2002PNAS
Fertile_Crescent
Topics referred to by the same term
Distributed Information Technology Dead Internet theory Diffusion transformer (DiT), a diffusion model that uses a transformer as its backbone Dehradun Institute
DIT
Psychological theory
Eric-Jan; Van Der Maas, Han L. J.; Grasman, Raoul P. P. P. (2007). "An EZ-diffusion model for response time and accuracy". Psychonomic Bulletin & Review. 14
Ego_depletion
Image generation algorithm
finetuning of models. In the case of text-to-image models, LoRA is typically used to modify the cross-attention layers of a diffusion model. Perfusion -
Text-to-image_personalization
Similarity measure for number sequences
features. The traditional cosine similarity considers the vector space model (VSM) features as independent or completely different, while the soft cosine
Cosine_similarity
explaining drug diffusion, water transport, and ice formation in tissues. Krogh model is derived by applying Fick's laws of diffusion and the law of conservation
Krogh_model
Industrial liquid purification method
membrane. This transport mechanism can be described using the solution-diffusion model, based on the rate/degree of dissolution of a component into the membrane
Pervaporation
Type of feedforward neural network
artificial neuron as a logical model of biological neural networks. In 1958, Frank Rosenblatt proposed the multilayered perceptron model, consisting of an input
Multilayer_perceptron
Machine learning technique
Large Language Models". ICLR. arXiv:2106.09685. Ryu, Simo (February 13, 2023). "Using Low-rank adaptation to quickly fine-tune diffusion models". GitHub. Retrieved
Fine-tuning_(deep_learning)
2023 text-generating language model
Transformer 4 (GPT-4) is a large language model developed by OpenAI and the fourth in its series of GPT foundation models. GPT-4 is preceded by GPT-3.5 and followed
GPT-4
Greek-American space exploration scientist (b. 1938)
heliosphere. Krimigis's publication record spans from "Interplanetary diffusion model for time behavior of intensity in a solar cosmic ray event," published
Stamatios_Krimigis
AI platform developed by IBM
tools and infrastructure for companies to work with both IBM's own AI models and models from third-party sources. The platform consists of three main components:
IBM_Watsonx
Empress of Northern Zhou (551–582)
authors, these findings "once again validates a cultural diffusion model over a demic diffusion model for the spread of Turkic languages" and refutes "western
Empress_Ashina
travel, tourism, insurance
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travel, tourism, insurance