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[![Discord](https://img.shields.io/discord/232596713892872193?logo=discord)](https://discord.gg/2JhHVh7CGu)
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This is a severely undertrained research network as a POC for the architecture. It was trained on ~700 example images for 2000 epochs reaching a minimal MSE loss of ~0.06. This repo is meant only as a demo of a strong, <100M parameter example model that can achieve strong color balance and achieve low loss on pixel diffusion. The next step is scaling up the data.
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A semi custom network based on the follow paper [Simpler Diffusion (SiD2)](https://arxiv.org/abs/2410.19324v1)
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[![Discord](https://img.shields.io/discord/232596713892872193?logo=discord)](https://discord.gg/2JhHVh7CGu)
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This is a severely undertrained research network as a POC for the architecture. It was trained on ~700 example images for 2000 epochs reaching a minimal MSE loss of ~0.06. The generation is unconditioned (No text knowledge yet, simply generates something plauible from the flow objective.) This repo is meant only as a demo of a strong, <100M parameter example model that can achieve strong color balance and achieve low loss on pixel diffusion. The next step is scaling up the data.
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A semi custom network based on the follow paper [Simpler Diffusion (SiD2)](https://arxiv.org/abs/2410.19324v1)
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