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license: openrail |
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# Anybooru |
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## Synthetic Anime Image Dataset |
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Synthetic anime image dataset generated using Andite's Anything-v4.5 checkpoint with Danbooru2021 tags collected in https://gwern.net/danbooru2021. |
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See https://github.com/1lint/anybooru for details and code to generate your own variant of the dataset. I have also uploaded the extracted Danbooru2021 tags to https://huggingface.co/datasets/lint/danbooru_tags, this dataset was generated with a small subset of the tags in `2021_0_pruned.parquet`. |
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Each string of tags was used to generate 4 different images with different seeds. This serves a similar purpose as random resize crop and image flip transformations to train the model to focus on general concepts encoded in the tags, rather than memorizing specific images. |
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## Quick Start |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset('lint/anybooru') |
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sample = dataset['train'][0] |
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image = sample['image'] |
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tags = image.info['tags'] |
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print(tags) |
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``` |
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## Samples |
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Each row of samples share the same generation prompt (string of tags). |
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## Citations |
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``` |
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@misc{danbooru2021, author = {Anonymous and Danbooru community and Gwern Branwen}, title = {Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset}, howpublished = {\url{https://gwern.net/danbooru2021}}, url = {https://gwern.net/danbooru2021}, type = {dataset}, year = {2022}, month = {January}, timestamp = {2022-01-21}, note = {Accessed: 03/01/2023} } |
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``` |
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