NebulaeWis
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README.md
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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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# 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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## 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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## 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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Our ultimate goal is to ensure that quality tags effectively track user preferences in recent years.
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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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## Date tags
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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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# 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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