The field of generative AI has undergone massive advancements, with techniques such as Stable Diffusion, Denoising, and Autoencoders revolutionizing how we generate, refine, and understand data. This blog explores these cutting-edge technologies and their applications across various domains. Understanding Stable Diffusion Stable Diffusion is a type of deep generative artificial neural network that uses latent diffusion models (LDMs) to generate detailed and controlled images from text prompts. Key components include: Variational Autoencoders (VAEs) for capturing data's perceptual structure. U-Net architectures for efficient image generation. Optional text encoders for conditioning outputs on textual descriptions. Applications Generative Art: Create unique visuals such as paintings and videos. Text-to-Image Generation: Generate images guided by text prompts. Image Super-Resolution: Enhance the resolution and clarity of images. Deepfake Video Generation: Crea...