ZeroCool94
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Update README.md
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README.md
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@@ -41,8 +41,8 @@ This model is still in its infancy and it's meant to be constantly updated and t
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- #### Stable:
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- None
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- #### Beta:
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- [vae.
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- [maskgit.
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Note: Checkpoints under the Beta section are updated daily or at least 3-4 times a week. While the beta checkpoints can be used as they are, only the latest version is kept on the repo and the older checkpoints are removed when a new one
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is uploaded to keep the repo clean.
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- **heads:** 8
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- **depth:** 4
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- **Random Crop:** True
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- **Total MaskGit Training Steps:**
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- **Total VAE Training Steps:**
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Note: On Muse we can change the image_size or resolution at any time without having to train the model from scratch again, this allows us to first train the model at low resolution using the same `dim` and `vq_codebook_size` to train faster and then we can increase the `image_size` and use a higher resolution once the model has trained enough.
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- #### Stable:
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- None
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- #### Beta:
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- [vae.9710000.pt](https://huggingface.co/Sygil/Sygil-Muse/blob/main/vae.9710000.pt): Trained from scratch for 9.71M steps with **dim: 32**,**vq_codebook_dim: 8192** and **vq_codebook_size: 8192**.
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- [maskgit.4345000.pt](https://huggingface.co/Sygil/Sygil-Muse/blob/main/maskgit.4345000.pt): Maskgit trained from the beta VAE for 4.34M steps.
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Note: Checkpoints under the Beta section are updated daily or at least 3-4 times a week. While the beta checkpoints can be used as they are, only the latest version is kept on the repo and the older checkpoints are removed when a new one
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is uploaded to keep the repo clean.
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- **heads:** 8
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- **depth:** 4
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- **Random Crop:** True
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+
- **Total MaskGit Training Steps:** 4,345,000
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- **Total VAE Training Steps:** 9,710,000
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Note: On Muse we can change the image_size or resolution at any time without having to train the model from scratch again, this allows us to first train the model at low resolution using the same `dim` and `vq_codebook_size` to train faster and then we can increase the `image_size` and use a higher resolution once the model has trained enough.
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