Now, imagine a magical guide that can help you – slowly, step by step – organize those particles into a picture-perfect image. This magical guide is what we call a diffusion model in the world of machine learning. Diffusion models, or to give them their full name, Denoising Diffusion Pr...
Stable Diffusion models have been gaining popularity in the field of machine learning for their ability to generate high-quality images and text. However, one major drawback of these models is their large file size, making it difficult for users to maintain a collection on their personal computer...
Diffusion models, first seen in 2014, which add "noise" to images until they are unrecognizable, and then remove the noise to generate original images in response to prompts. Transformers(also called transformer models), which are trained on sequenced data to generate extended sequences of content...
Diffusion modelsIn a diffusion model, Gaussian noise is gradually added to training data, creating increasingly noisy versions. Adding noise affects the original values of the pixels in the image. The noise is “Gaussian” because it’s added based on probabilities that lie along a bell curve. ...
What are the Benefits of Machine-Learning Force Fields? A long-standing challenge in atomic-scale MD simulations is that reliable simulation models are either too expensive (ab initio) to reach the simulation time- and length scales that would allow one to capture the complexity of realistic syst...
Step 3: Locate the config YAML file in the downloaded ZIP file from GitHub. Navigate to the “C:\stable-diffusion-webui-master\models\Stable-diffusion” folder and save the YAML file there. Change the file name to “768-v-ema.yaml” while retaining the “.yaml” extension. ...
This ability to generate novel data ignited a rapid-fire succession of new technologies, from generative adversarial networks (GANs) to diffusion models, capable of producing ever more realistic—but fake—images. In this way, VAEs set the stage for today’s generative AI. ...
In a technical article on the implementation of Sora, OpenAI provides a high-level description of how this combination works. In diffusion models, images are broken down into smaller rectangular "patches." For video, these patches are three-dimensional because they persist through time. Patch...
Generative AI is a kind of artificial intelligence technology that relies on deep learning models trained on large data sets to create new content.
Diffusion models Also introduced in 2014, diffusion models work by first adding noise to the training data until it’s random and unrecognizable, and then training the algorithm to iteratively diffuse the noise to reveal a desired output.