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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. SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis (2023). [20 ...
Riffusion is a neural network, designed by Seth Forsgren and Hayk Martiros, that generates music using images of sound rather than audio. [1] It was created as a fine-tuning of Stable Diffusion , an existing open-source model for generating images from text prompts, on spectrograms . [ 1 ]
[22] [23] Users retained the ownership of resulting output regardless of models used. [24] [25] 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] [26] An improved flagship model, Flux 1.1 Pro was released on 2 October 2024.
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 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]
The LDM is an improvement on standard DM by performing diffusion modeling in a latent space, and by allowing self-attention and cross-attention conditioning. LDMs are widely used in practical diffusion models. For instance, Stable Diffusion versions 1.1 to 2.1 were based on the LDM architecture. [4]
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]
The model was made available on December 15, 2022, with the code also freely available on GitHub. [42] It is one of many models derived from Stable Diffusion. [44] Riffusion is classified within a subset of AI text-to-music generators. In December 2022, Mubert [46] similarly used Stable Diffusion to turn descriptive text into music loops. In ...