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README.md
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@@ -67,3 +67,12 @@ The model was trained on the following dataset:
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- **Total Training Steps:** 2,410,000
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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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- **Total Training Steps:** 2,410,000
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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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Developed by: [ZeroCool](https://github.com/ZeroCool940711) at [Sygil-Dev](https://github.com/Sygil-Dev/)
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## Community Contributions:
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- [Benjamin Trom (limiteinductive)](https://huggingface.co/limiteinductive): Thanks for providing us with extra compute to speed up the training.
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- [Chad Kensington (isamu isozaki)](https://github.com/isamu-isozaki/muse-maskgit-pytorch): Thanks for helping with the training scripts and improving the code for Muse.
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# License
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This model is open access and available to all, with a CreativeML Open RAIL++-M License further specifying rights and usage.
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