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[https://github.com/liaopeiyuan/artbench](ArtBench) samples encoded to SDXL latents via [Ollin VAE](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix). |
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Dataset created using [this script](https://github.com/Birch-san/sdxl-diffusion-decoder/blob/main/script/make_sdxl_latent_dataset.py). |
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Schema/usage: |
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```python |
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from typing import TypedDict, Iterator |
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from webdataset import WebDataset |
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Sample = TypedDict('Sample', { |
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'__key__': str, |
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'__url__': str, |
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'cls.txt': bytes, # UTF-8 encoded class id from 0 to 9 inclusive |
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'img.png': bytes, # PIL image, serialized |
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'latent.pth': bytes, # FloatTensor, serialized |
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}) |
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it: Iterator[Sample] = WebDataset('train/{00000..00004}.tar') |
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for sample in it: |
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pass |
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``` |
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The data sources of ArtBench-10 is released under a Fair Use license, as requested by WikiArt, Ukiyo-e.org database and The Surrealism Website. |
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For more information, see https://www.wikiart.org/en/terms-of-use, https://ukiyo-e.org/about and https://surrealism.website/ |
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train: 50000 samples |
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test: 10000 samples |
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```python |
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# test/avg/val.pt: |
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[-0.11362826824188232, -0.7059057950973511, 0.4819808006286621, 2.2327630519866943] |
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# test/avg/sq.pt: |
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[52.59075927734375, 30.115631103515625, 44.977020263671875, 30.228885650634766] |
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# train/avg/val.pt: |
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[-0.1536690890789032, -0.7142514586448669, 0.4706766605377197, 2.24863600730896] |
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# train/avg/sq.pt: |
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[51.99677276611328, 30.184646606445312, 44.909732818603516, 30.234216690063477] |
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``` |