Run the Stable Diffusion Web UI from Gradient Deployments part 2: Updating the Container to Access New Features
In this article, we look at the steps for creating and updating a container for the Stable Diffusion Web UI, detail how to deploy the Web UI with Gradient, and discuss the newer features from the Stable Diffusion Web UI that have been added to the application since our last update.
Versatile Diffusion: the first unified multi-flow multimodal diffusion framework
In this blogpost, we examined the architecture and capabilities of the Versatile Diffusion framework. We then demonstrated this model within a Gradient Notebook to perform txt2img, img2txt, image variation, text variation, dual-guided, and Latent Image to Text to Image synthesis.
Stable Diffusion Tutorial Part 2: Using Textual Inversion Embeddings to gain substantial control over your generated images
This tutorial shows in detail how to train Textual Inversion for Stable Diffusion in a Gradient Notebook, and use it to generate samples that accurately represent the features of the training images using control over the prompt.
Stable Diffusion Tutorial Part 1: Run Dreambooth in Gradient Notebooks
In this article, we walked through each of the steps for creating a Dreambooth concept from scratch within a Gradient Notebook, generated novel images from inputted prompts, and showed how to export the concept as a model checkpoint.
Run the Stable Diffusion web UI from Gradient Deployments
This guide shows you how to setup the Stable Diffusion web UI in a Gradient Deployment, and get started synthesizing images in just moments with Gradient's powerful GPUs
ProGAN: Progressive Growing Generative Adversarial Networks
In this blogpost, we endeavor to build a conceptual understanding of how exactly ProGANs work. We then proceed to build the network from scratch to generate facial structures