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  proof of concept of a failed project
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  how you can load this into a diffusers-based notebook like [Doohickey](https://github.com/aicrumb/doohickey) might look something like this
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  ```
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  ```
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  it was trained on 1024 images matching the 'genshin_impact' tag on safebooru, epochs 1 and 2 had the model being fed the full captions, epoch 3 had 50% of the tags in the caption, and epoch 4 had 25% of the tags in the caption. Learning rate was 1e-3 and the loss curve looked like this ![](https://pbs.twimg.com/media/FdsdivkWIBQYmZd?format=jpg&name=small)
 
 
 
 
 
 
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  proof of concept of a failed project
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+ a notebook for producing your own "stable inversions" is included in this repo but I wouldn't recommend doing so (they suck). It works on Colab free tier though.
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+ [link to notebook for you to download](https://huggingface.co/crumb/genshin-stable-inversion/blob/main/stable_inversion%20(1).ipynb)
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  how you can load this into a diffusers-based notebook like [Doohickey](https://github.com/aicrumb/doohickey) might look something like this
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  ```
 
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  ```
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  it was trained on 1024 images matching the 'genshin_impact' tag on safebooru, epochs 1 and 2 had the model being fed the full captions, epoch 3 had 50% of the tags in the caption, and epoch 4 had 25% of the tags in the caption. Learning rate was 1e-3 and the loss curve looked like this ![](https://pbs.twimg.com/media/FdsdivkWIBQYmZd?format=jpg&name=small)
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+ Samples from this finetuned inversion for the prompt "beidou_(genshin_impact)"
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+ ![](https://pbs.twimg.com/media/FdsdL7YWIBEXoqG?format=png&name=small)
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+ ![](https://pbs.twimg.com/media/FdsdSUdWICIBarc?format=png&name=small)
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+ ![](https://pbs.twimg.com/media/Fdsdte5WIAAUALp?format=png&name=small)