Unlike the single large model used by Stable Diffusion, Stable Cascade employs a modular three-stage architecture, consisting of Stages A, B, and C. This setup allows for significant improvements in training efficiency and customization.
A key innovation is the development of a latent diffusion technique that employs a highly compressed yet detailed semantic image representation. This approach significantly reduces the computational requirements to achieve state-of-the-art results.
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