The recent events of facial data compromise from big companies like SenseTime and Megvii, and also from resilient guarded government bodies like Metropolitan Transportation Authority (MTA) of New York, from cyber invasions created by hackers raises an urgency to employ a novel method that can protect images in a public tech integration level. Thus, this paper employs a novel method that creates an additional layer of protection to image encryption. This method includes the Pix2Pix and KAA map to enchase the encryption of the image. The proposed model has achieved an astonishing result with a generator loss of 0.4098, and loss of discriminator of 0.4905, and a total loss of variation of 0.5648, later with finetuning of hyper-parameters the model has achieved loss of generator as 0.2135, loss of discriminator as 0.2034 and total loss of variation as 3.3569, demonstrating the model's ability to make a significant advancement in image protection. The goal of this technique is to create an image with the maximum level of encryption feasible.