What Stable Diffusion Techniques belong in your Image Synthesis workflow? Part 2
Part 2 of our series examining techniques for adding control, guidance, and variety to your stable diffusion pipeline.
Using Diffusion Models for Image Editing Tasks
In this blog post, we review recent diffusion models that have been used not only for generic image generation but also for image editing purposes. Within, we go go over each model and summarize the blog post with the pros and cons of each model.
What Stable Diffusion Techniques belong in your Image Synthesis workflow? Part 1
In this article, we examine four new techniques for brining greater control to your Stable Diffusion pipeline: T2IAdapter, Instruct Pix2Pix, Attend and Excite, and MultiDiffusion
A Review of the Image Quality Metrics used in Image Generative Models
When it comes to image synthesis algorithms, we need a method to quantify the differences between generated images and real images in a way that corresponds with human judgment. In this article, we highlight some of these metrics that are commonly used in the field today.
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.