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README.md
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Roughly 600,000 samples for this one, 10k per epoch between 0-10 complexity 1-5, and 50k synthetic prompts per epoch at epoch 11-20 with reduced complexity between 1-4.
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## 🎯 Model Overview
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GeoDavidCollective Enhanced is a sophisticated multi-expert geometric classification system that learns from Stable Diffusion 1.5's internal representations. Using ProjectiveHead architecture with Cayley-Menger geometry, it achieves efficient pattern recognition across timestep and semantic spaces.
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Roughly 600,000 samples for this one, 10k per epoch between 0-10 complexity 1-5, and 50k synthetic prompts per epoch at epoch 11-20 with reduced complexity between 1-4.
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Currently prototyping a series of cantor-driven layers to test sparsity inclusion and omission while this one cooked.
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## 🎯 Model Overview
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GeoDavidCollective Enhanced is a sophisticated multi-expert geometric classification system that learns from Stable Diffusion 1.5's internal representations. Using ProjectiveHead architecture with Cayley-Menger geometry, it achieves efficient pattern recognition across timestep and semantic spaces.
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