Larger resolution face masked, weirdly warped, deepfake, requires https://github.com/keras-team/keras-contrib.git to be cloned into the root of the repo and A and B's alignments.json to be copied into the correct /data/* folder before training.

• Clone this repository
• cd into the folder df and clone https://github.com/keras-team/keras-contrib.git
• make sure that the folder keras_contrib is in the root of the df respository
• run align_images_masked on your source A and B image folders.
• copy the aligned cropped images into the A or B folder along with the alignments.json files from the source image folders.
• run train.py as usual
• wait
• run merge_faces_larger.py on your image folder.

Directory structure for training data should look like (image names for example purposes only):

df
│
└───data
    │
    ├───A
    │   │ alignments.json
    │   │ trainingimageA1.jpg
    │   │ trainingimageA2.jpg
    │
    ├───B
    │   │ alignments.json
    │   │ trainingimageB1.jpg
    │   │ trainingimageB2.jpg

or as a file listing:

.\df\data\A\alignments.json
.\df\data\A\trainingimageA1.jpg
.\df\data\A\trainingimageA2.jpg
.\df\data\B\alignments.json
.\df\data\B\trainingimageB1.jpg
.\df\data\B\trainingimageB2.jpg