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.
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
An Overview of Epistemic Uncertainty in Deep Learning
In this article, we explored a broad overview of epistemic uncertainty in deep learning classifiers, and develop intuition about how an ensemble of models can be used to detect its presence for a particular image instance.
Anomaly Detection as a Screen for Aleatoric Uncertainty in Deep Learning
In this article, we took a brief look at uncertainties in deep learning. Thereafter, we took a more keen look at aleatoric uncertainty and how convolutional autoencoder can help to screen out-of-sample images for classification tasks.