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@@ -14,7 +14,36 @@ It utilizes the latest full Danbooru and e621 datasets for training, with native
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  ## Datasets
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  - Latest Danbooru images up to the training date(for v1.0,it mean before 2024-10-23)
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  - E621 images [e621-2024-webp-4Mpixel](https://huggingface.co/datasets/NebulaeWis/e621-2024-webp-4Mpixel) dataset on Hugging Face
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- -
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Model License
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  This model's license inherits from ill0.1's free ai license and adds the following terms. Any use of this model and its variants is bound by this license.
 
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  ## Datasets
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  - Latest Danbooru images up to the training date(for v1.0,it mean before 2024-10-23)
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  - E621 images [e621-2024-webp-4Mpixel](https://huggingface.co/datasets/NebulaeWis/e621-2024-webp-4Mpixel) dataset on Hugging Face
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+
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+ ## Caption
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+ ```
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+ <1girl/1boy/1other/...>, <character>, <series>, <artists>, <special tags>, <general tags>
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+ ```
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+
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+ ## Quality Tags
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+ For quality tags, we evaluated image popularity through the following process:
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+ - Data normalization based on various sources and ratings.
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+ - Application of time-based decay coefficients according to date recency.
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+ - Ranking of images within the entire dataset based on this processing.
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+
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+ Our ultimate goal is to ensure that quality tags effectively track user preferences in recent years.
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+
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+ | Percentile Range | Quality Tags |
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+ |:-----------------|:------------------|
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+ | > 95th | masterpiece |
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+ | > 85th, <= 95th | best quality |
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+ | > 60th, <= 85th | good quality |
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+ | > 30th, <= 60th | normal quality |
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+ | <= 30th | worst quality |
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+
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+ ## Date tags
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+
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+ | 2005-2010 | old |
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+ | 2011-2014 | early |
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+ | 2014-2017 | mid |
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+ | 2018-2020 | recent |
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+ | 2021-2024 | newest |
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+
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  # Model License
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  This model's license inherits from ill0.1's free ai license and adds the following terms. Any use of this model and its variants is bound by this license.