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Generative models that perform iterative denoising within a compressed low-dimensional manifold to synthesize high-fidelity data.
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Stable Diffusion is a generative machine learning pipeline that synthesizes high-resolution visual content by performing iterative denoising within a compressed latent space. By mapping natural language embeddings into pixel outputs through conditioned probabilistic processes, the framework enables the generation of im