This model is the MaskBit tokenizer with a vocabulary size of 12bits. It uses a downsampling factor of 16 and is trained on ImageNet for images of resolution 256.

You can find more details on the project page and in the paper.

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Inference API

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Dataset used to train markweber/maskbit_tokenizer_12bit

Collection including markweber/maskbit_tokenizer_12bit

maskbit

Collection

6 items • Updated 21 days ago

Evaluation results

rFID on ILSVRC/imagenet-1k
self-reported

1.520
InceptionScore on ILSVRC/imagenet-1k
self-reported

184.300
LPIPS on ILSVRC/imagenet-1k
self-reported

0.298
PSNR on ILSVRC/imagenet-1k
self-reported

21.200
SSIM on ILSVRC/imagenet-1k
self-reported

0.550
CodebookUsage on ILSVRC/imagenet-1k
self-reported

1.000

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