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@@ -140,8 +140,8 @@ The model generates male characters less reliably than female characters, it may
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  ## What's Next
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- Aniimage-3 is currently in the works and will have an updated parameters count, 594.8M versus 441.9M, a 34.6% increase in parameter count.
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- The model will also have 2 million unique images, 66.7% more than the 1.2 million Aniimage-2 has.
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  Aniimage-2 used incorrect Min-SNR loss weighting with its v-prediction objective, causing near-pure-noise timesteps to receive excessive emphasis. This has been corrected for Aniimage-3.
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  Aniimage-3 also uses a much higher-quality dataset with improved filtering. More than 100,000 low-quality images from the Aniimage-2 dataset were removed.
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  ## What's Next
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+ Aniimage-3 is currently in the works and will have a much higher parameter count: 738.1M parameters compared to aniimage-2 and aniimage-1's 441.9M parameters.
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+ The model will also have 1.5 million unique images, 25% more than the 1.2 million Aniimage-2 has.
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  Aniimage-2 used incorrect Min-SNR loss weighting with its v-prediction objective, causing near-pure-noise timesteps to receive excessive emphasis. This has been corrected for Aniimage-3.
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  Aniimage-3 also uses a much higher-quality dataset with improved filtering. More than 100,000 low-quality images from the Aniimage-2 dataset were removed.
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