#Rope is the newest 1-Click, most easy to use, most advanced open source Deep Fake application. It has been just published yesterday. In this tutorial I will show you how to use Rope Pearl DeepFake application. Rope is way better than Roop, #Roop Unleashed and #FaceFusion. It supports multi-face Face Swapping and making amazing DeepFake videos so easily with 1-Click. Select video, select faces and generate your DeepFake 4K ultra-HD video.br br 1-Click Rope Installers Scripts ⤵️br br How To Install Requirements Tutorial (Python, Git, FFmpeg, CUDA, C++ Tools) ⤵️br br Official Rope GitHub Repository ⤵️br br Rope's Author Donation Link - Support Him For Better APP ⤵️br br 0:00 Example Deepfake video from movie Inglourious Basterds 2009br 0:21 Introduction to the most easy to use and most advanced 1-Click Deepfake application Rope Pearlbr 0:53 How to download 1-Click installer scripts and start installing Rope Pearlbr 1:34 What are the requirements of Deepfake app Rope Pearl and how to check and install thembr 1:44 How to check and verify your Python, Git, CUDA and FFmpeg installationsbr 3:42 Example images and a test video that I prepared and sharingbr 4:10 How to start Rope Deepfake application after the installation has been completedbr 4:27 How to use Rope Pearl Deepfake application - first select videos and images foldersbr 5:00 How to refresh and re-populate selected videos and faces foldersbr 5:26 How to set the outputs folder where the Deepfake videos and images will be savedbr 5:45 How Rope Pearl the most advanced Deepfake application work, select input video and target facesbr 6:34 How to make swapped, deep faked faces HD from low resolutionbr 7:01 How to further improve face quality with face restoration AI models automaticallybr 7:49 How to make additional changes to fix artifacts and mistakes in the Deepfaked videobr 8:27 Support link to support author of Rope developerbr 8:37 How to test and see each changes effect immediatelybr 9:00 The tests and configurations I have pre-prepared for youbr 9:19 How to use Face Parser to fix the mouth movementbr 9:53 How to reduce VRAM usage and increase processing speed with number of threadsbr 10:13 How to export and save Deepfake applied new videobr 12:12 Where will be the output exported video savedbr 12:33 Important face detection models Retina face, Yolo and SCRDF - try them if face detection failsbr 13:34 How to understand when the Deepfake video processing is completedbr 13:59 Properties of the generated Deepfake video, e.g.