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vqgan_plus_12bit

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vqgan_plus_12bit
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---
license: apache-2.0
datasets:
- ILSVRC/imagenet-1k
model-index:
  - name: VQGAN+
    results:
      - task:
          type: image-generation
        dataset:
          name: ILSVRC/imagenet-1k
          type: ILSVRC/imagenet-1k
        metrics:
          - name: rFID
            type: rFID
            value: 1.39
          - name: InceptionScore
            type: InceptionScore
            value: 193.9
          - name: LPIPS
            type: LPIPS
            value: 0.315
          - name: PSNR
            type: PSNR
            value: 21
          - name: SSIM
            type: SSIM
            value: 0.55
          - name: CodebookUsage
            type: CodebookUsage
            value: 1.0
---

This model is the VQGAN+ tokenizer with a vocabulary size of 12 bits. 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](https://weber-mark.github.io/projects/maskbit.html) and in the [paper](https://arxiv.org/abs/2409.16211).