Generative Models
In this article, we using the Dreambooth technique to train Stable Diffusion 1.5 and teach it to generate images of a very specific species of cat.
In this article, we cover the Hugging Face Diffusers library for text-to-image, image-to-image, and image inpainting.
In this article, we explore the ControlNet models for image generation which give uses more ControlNet while generating images for a particular pose or style.
In this article, we discuss what is InstructPix2Pix, how it works, how it is trained, and what kind of image editing it can do.
In this article, we explore the Stable Diffusion model and how it works under the hood. We explore its training and inference strategy and visit the several variations of Stable
An in-depth explanation of the theory and math behind denoising diffusion probabilistic models (DDPMs) and implementing them from scratch in PyTorch.
