Getting Started with HuggingFace Diffusers: A Beginner's Journey into the World of Generative Images
diffusion
The recent advancements in machine learning, particularly in generative models, have been marked by the emergence of diffusion models (DMs) as powerful tools for modeling complex data distributions and generating realistic samples across various domains such as images, videos, audio, and 3D scenes. Despite their practical success, the full theoretical understanding of generative diffusion models still needs to be improved. This understanding is not just an academic pursuit but has direct implications for the practical application of these models in various domains. While rigorous results assessing their convergence on finite-dimensional data have been obtained, the complexities of high-dimensional data spaces