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Stable Diffusion Models, or checkpoint models, are pre-trained Stable Diffusion weights for generating a particular style of images. What kind of images a model generates depends on the training images.
This repository contains Stable Diffusion models trained from scratch and will be continuously updated with new checkpoints. The following list provides an overview of all currently available models. More coming soon.
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 pictures were generated by Stable Diffusion, a recent diffusion generative model. You may have also heard of DALL·E 2, which works in a similar way. It can turn text prompts (e.g. “an astronaut riding a horse”) into images. It can also do a variety of other things!
In this guide, we will show how to generate novel images based on a text prompt using the KerasCV implementation of stability.ai's text-to-image model, Stable Diffusion. Stable Diffusion is a powerful, open-source text-to-image generation model.
Stable Diffusion is a Latent Diffusion model developed by researchers from the Machine Vision and Learning group at LMU Munich, a.k.a CompVis. Model checkpoints were publicly released at the end of August 2022 by a collaboration of Stability AI, CompVis, and Runway with support from EleutherAI and LAION.
The Stable Diffusion model works in two steps: First, it gradually adds (Forward Diffusion) noise to the data. Then, it learns to do the opposite (Reverse Diffusion) - it carefully removes this noise step-by-step, reconstructing the original data from its noisy state.
Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database.
In this survey, we provide an overview of the rapidly expanding body of work on diffusion models, categorizing the research into three key areas: efficient sampling, improved likelihood estimation, and handling data with special structures.
Stable Diffusion is a latent diffusion model, a kind of deep generative neural network developed by the CompVis group at LMU Munich. The model has been released by a collaboration of Stability AI, CompVis LMU, and Runway with support from EleutherAI and LAION. In October 2022, Stability AI raised US$101 million in a round led by Lightspeed ...