Architectural Removal and Distillation: A Path to Efficient Compression in AI Text-to-Image Diffusion Models Daniele Lorenzi Artificial Intelligence Category – MarkTechPost
Text-to-Image Diffusion Models represent a groundbreaking approach to generating images from textual prompts. They leverage the power of deep learning and probabilistic modeling to capture the subtle relationships between language and visual concepts. By conditioning a generative model on textual descriptions, these models learn… Read More »Architectural Removal and Distillation: A Path to Efficient Compression in AI Text-to-Image Diffusion Models Daniele Lorenzi Artificial Intelligence Category – MarkTechPost