Architectural Removal and Distillation: A Path to Efficient Compression in AI Text-to-Image Diffusion Models

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 to synthesize realistic images that faithfully depict the given input. At […]

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