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--- |
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license: unknown |
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datasets: |
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- ylecun/mnist |
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pipeline_tag: text-to-image |
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tags: |
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- Stylegan |
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- Conditional |
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--- |
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# Model Card for conditional StyleGAN3-t-MNIST |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model allows to generate MNIST-like images. The model is based on [StyleGAN3-t](https://github.com/NVlabs/stylegan3?tab=License-1-ov-file#readme) and used the MNIST training split padded to 32x32. |
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The prepared dataset can be found [here](https://github.com/oliverweissl/ConditionalStyleGANDatasets). |
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The model was trained using the following parameters: |
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- gamma: 0.125 |
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- kimg: 5000 |
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- cbase: 16384 |
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- batch: 32 |
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- metrics: fid50k (3.623 final) |
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This training took ~48h on 1 Nvidia A100 GPU |
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![fake numbers](./fake005000.png "Generated Samples") |