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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.
These agents can interact with users, their environment, or other agents. AI agents are used in various applications, including virtual assistants, chatbots, autonomous vehicles, game-playing systems, and industrial robotics. AI agents operate within the constraints of their programming, available computational resources, and hardware limitations.
AUTOMATIC1111 Stable Diffusion Web UI (SD WebUI, A1111, or Automatic1111 [3]) is an open source generative artificial intelligence program that allows users to generate images from a text prompt. [4] It uses Stable Diffusion as the base model for its image capabilities together with a large set of extensions and features to customize its output.
Stable Diffusion (2022-08), released by Stability AI, consists of a denoising latent diffusion model (860 million parameters), a VAE, and a text encoder. The denoising network is a U-Net, with cross-attention blocks to allow for conditional image generation.
Stability AI Ltd [1] is a UK-based artificial intelligence company, best known for its text-to-image model Stable Diffusion. History and founding Stability AI was founded in 2019 by Emad Mostaque and by Cyrus Hodes .
The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [ 3 ] Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian ) on training images.
Stability AI offered computational resources to support the project, and the model was officially released in August 2022 under the name Stable Diffusion. [20] Rombach, Blattmann, Esser and Lorenz subsequently joined Stability AI, leading the development of subsequent Stable Diffusion models. [ 21 ]
A video about the importance of transparency of AI in medicine One key benefit of open-source AI is the increased transparency it offers compared to closed-source alternatives. With open-source models, the underlying algorithms and code are accessible for inspection, which promotes accountability and helps developers understand how a model ...