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AP Images; Bridgeman Art Library: California Digital Library: California State University, Northridge, Oviatt Library Digital Collections Camera Press: Chicago Daily News (1902–1933), collection of over 55,000 images on glass plate negatives Corbis Images: Depositphotos: Stock Images: 164,000,000+ (June 2020) Yes No Yes English (Default)+ 21 ...
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.
The Internet Archive is an American non-profit organization founded in 1996 by Brewster Kahle that runs a digital library website, archive.org. [2] [3] [4] It provides free access to collections of digitized media including websites, software applications, music, audiovisual, and print materials.
This paper describes the latent diffusion model (LDM). This is the backbone of the Stable Diffusion architecture. Classifier-Free Diffusion Guidance (2022). [29] This paper describes CFG, which allows the text encoding vector to steer the diffusion model towards creating the image described by the text.
This is a list of online newspaper archives and some magazines and journals, including both free and pay wall blocked digital archives. Most are scanned from microfilm into pdf , gif or similar graphic formats and many of the graphic archives have been indexed into searchable text databases utilizing optical character recognition (OCR) technology.
The goal of diffusion models is to learn a diffusion process for a given dataset, such that the process can generate new elements that are distributed similarly as the original dataset. A diffusion model models data as generated by a diffusion process, whereby a new datum performs a random walk with drift through the space of all possible data. [2]
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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.