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An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Diagram of the latent diffusion architecture used by Stable Diffusion The denoising process used by Stable Diffusion. The model generates images by iteratively denoising random noise until a configured number of steps have been reached, guided by the CLIP text encoder pretrained on concepts along with the attention mechanism, resulting in the desired image depicting a representation of the ...
[20] [21] Users retained the ownership of resulting output regardless of models used. [22] [23] The models can be used either online or locally by using generative AI user interfaces such as ComfyUI and Stable Diffusion WebUI Forge (a fork of Automatic1111 WebUI). [8] [24] An improved flagship model, Flux 1.1 Pro was released on 2 October 2024.
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]
Latent diffusion model was published in December 2021 and became the basis for the later Stable Diffusion (August 2022). [56] In 2022, Midjourney [57] was released, followed by Google Brain's Imagen and Parti, which were announced in May 2022, Microsoft's NUWA-Infinity, [58] [2] and the source-available Stable Diffusion, which was released in ...
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.
As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these created by models based on Stable Diffusion. [171] If AI-generated content is included in new data crawls from the Internet for additional training of AI models, defects in the resulting models may occur. [172]
Mathematical models developed in theoretical ecology predict complex food webs can be less stable than simpler webs. [ 1 ] : 75–77 [ 2 ] : 64 Life on Earth-Flow of Energy and Entropy Theoretical ecology is the scientific discipline devoted to the study of ecological systems using theoretical methods such as simple conceptual models ...