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markweber/taming_vqgan
taming_vqgan is a machine learning model from markweber. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model is the Taming VQGAN tokenizer with a vocabulary size of 10bits converted into a format for the MaskBit codebase. It uses a downsampling factor of 16 and is trained on ImageNet for images of resolution 256.
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Updated Dec 6, 2024
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From the Hugging Face model README
This model is the Taming VQGAN tokenizer with a vocabulary size of 10bits converted into a format for the MaskBit codebase. It uses a downsampling factor of 16 and is trained on ImageNet for images of resolution 256.
You can find more details on the VQGAN in the original repository or paper. All credits for this model belong to Patrick Esser, Robin Rombach and Björn Ommer.