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De-Fake
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README.md
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De-Fake
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# De-Fake It is the code for the paper: DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models. ### Environment You first need to build the environment by: ``` conda env create -f environment.yaml conda activate defake ``` ### Infer For the usage, You can download our model on https://drive.google.com/file/d/1qI7x5iodaCFq0S61LKw4wWjql7cYou_4/view?usp=sharing and https://drive.google.com/file/d/1SuenxJP10VwArC6zW0SHMUGObMRqQhBD/view?usp=sharing for the encoder and classifier. Then test on ``` python test.py --image_path XXX ``` ### Train If you want to train the detector yourself, please enter the correct file path in train.py. Then ``` python train.py ``` ### License DeFake is licensed under the term of thr MIT license. See LICENSE for more details.
