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  The Protogen Nova is a checkpoint model that merges all the previous models into one
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  This merger includes
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- * Protogen v2.2
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- * Protogen x3.4
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- * ProtoGen x5.3
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- * ProtoGen x5.8
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- * ProtoGen x5.9
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- * ProtoGen x7.4
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- * ProtoGen x7.9
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  As part the of the checkpoint merging, Granular Adaptive Learning is a technique where traininig data is lessen selectively from 30% to 0.05%, and as the training is eventually saturated, the process reduces loss and introduces elements from various checkpoints
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  The Protogen Nova is a checkpoint model that merges all the previous models into one
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  This merger includes
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+ * Protogen v2.2 (Anime)
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+ * Protogen x3.4 (Photorealism)
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+ * ProtoGen x5.3 (Photorealism)
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+ * ProtoGen x5.8 Rebuilt (Scifi+Anime)
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+ * ProtoGen x5.9 (Dragon)
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+ * ProtoGen x7.4 (Eclipse)
 
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  As part the of the checkpoint merging, Granular Adaptive Learning is a technique where traininig data is lessen selectively from 30% to 0.05%, and as the training is eventually saturated, the process reduces loss and introduces elements from various checkpoints
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