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README.md
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SD1.5 experiments with Huber and MSE loss. All models trained for 4 epochs on approximately 250k images from a variety of sources. Approximately half from LAION Aesthetics, and a few thousand 4K video rips with COG-VLM captions.
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Trained using Everydream2 Trainer (https://github.com/victorchall/EveryDream2trainer) on an RTX 6000 Ada 48gb. Each epoch takes approximately 10 hours for a total of about 40 hours per model.
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- Multi-aspect ratio trained with nominal size of <=768^2 pixels for each bucket
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SD1.5 experiments with Huber and MSE loss. All models trained for 4 epochs on approximately 250k images from a variety of sources. Approximately half from LAION Aesthetics, and a few thousand 4K video rips with COG-VLM captions.
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Trained using Everydream2 Trainer (https://github.com/victorchall/EveryDream2trainer) on an RTX 6000 Ada 48gb. Each epoch takes approximately 10 hours for a total of about 40 hours per model.
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- Multi-aspect ratio trained with nominal size of <=768^2 pixels for each bucket
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