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@@ -27,9 +27,19 @@ To evaluate artistic style removal, we conduct experiments erasing five modern a
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  Given only a short text description of an undesired visual concept and no additional data, our method fine-tunes model weights to erase the targeted concept. Our method can avoid NSFW content, stop imitation of a specific artist's style, or even erase a whole object class from model output, while preserving the model's behavior and capabilities on other topics.
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- ## Fine-tuned Weights
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- The finetuned weights for both NSFW and art style erasures are available on our [project page](https://erasing.baulab.info).
 
 
 
 
 
 
 
 
 
 
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  ## Citing our work
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  The preprint can be cited as follows
 
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  Given only a short text description of an undesired visual concept and no additional data, our method fine-tunes model weights to erase the targeted concept. Our method can avoid NSFW content, stop imitation of a specific artist's style, or even erase a whole object class from model output, while preserving the model's behavior and capabilities on other topics.
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+ ## Demo vs github
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+ This demo uses an updated implementation from the original Erasing codebase the publication is based from.
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+ ## Running locally
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+ 1.) Create an environment using the packages included in the requirements.txt file
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+ 2.) Run `python app.py`
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+ 3.) Open the application in browser at `http://127.0.0.1:7860/`
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+ 4.) Train, evaluate, and save models using our method
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  ## Citing our work
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  The preprint can be cited as follows