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README.md

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+---
+license: openrail
+---
+
+# Anybooru 
+
+## Synthetic Anime Image Dataset
+
+Synthetic anime image dataset generated using Andite's Anything-v4.5 checkpoint with Danbooru2021 tags collected in https://gwern.net/danbooru2021. 
+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`.
+
+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.
+
+
+## Quick Start
+
+```
+from datasets import load_dataset
+
+dataset = load_dataset('lint/anybooru')
+
+sample = dataset['train'][0]
+
+image = sample['image']
+tags = image.info['tags']
+
+print(tags)
+```
+
+## Samples
+
+Each row of samples share the same generation prompt (string of tags). 
+
+<p align="center"><img src="./anybooru_grid.png" alt= “Anybooru” width="50%" height="50%" align="center"></p>
+
+
+
+## Citations
+
+```
+@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} }
+```
+
+