Free faceswap

Faceswap-GANAdding Adversarial loss and perceptual loss (VGGface) to deepfakes'(reddit user) auto-encoder architecture.UpdatesDate Update2018-08-27 Colab support: A colab notebook for faceswap-GAN v2.2 is provided.2018-07-25 Data preparation: Add a new notebook for video pre-processing in which MTCNN is used for face detection as well as face alignment.2018-06-29 Model architecture: faceswap-GAN v2.2 now supports different output resolutions: 64x64, 128x128, and 256x256. Default RESOLUTION = 64 can be changed in the config cell of v2.2 notebook.2018-06-25 New version: faceswap-GAN v2.2 has been released. The main improvements of v2.2 model are its capability of generating realistic and consistent eye movements (results are shown below, or Ctrl+F for eyes), as well as higher video quality with face alignment.2018-06-06 Model architecture: Add a self-attention mechanism proposed in SAGAN into V2 GAN model. (Note: There is still no official code release for SAGAN, the implementation in this repo. could be wrong. We'll keep an eye on it.)Google Colab supportHere is a playground notebook for faceswap-GAN v2.2 on Google Colab. Users can train their own model in the browser.[Update 2019/10/04] There seems to be import errors in the latest Colab environment due to inconsistent version of packages. Please make sure that the Keras and TensorFlow follow the version number shown in the requirement section below.Descriptionsfaceswap-GAN v2.2FaceSwap_GAN_v2.2_train_test.ipynbNotebook for model training of faceswap-GAN model version 2.2.This notebook also provides code for still image transformation at the bottom.Require additional training images generated through prep_binary_masks.ipynb.FaceSwap_GAN_v2.2_video_conversion.ipynbNotebook for video conversion of faceswap-GAN model version 2.2.Face alignment using 5-points landmarks is introduced to video conversion.prep_binary_masks.ipynbNotebook for training data preprocessing. Output binary masks are save in ./binary_masks/faceA_eyes and ./binary_masks/faceB_eyes folders.Require face_alignment package. (An alternative method for generating binary masks (not requiring face_alignment and dlib packages) can be found in MTCNN_video_face_detection_alignment.ipynb.)MTCNN_video_face_detection_alignment.ipynbThis notebook performs face detection/alignment on the input video.Detected faces are saved in ./faces/raw_faces and ./faces/aligned_faces for non-aligned/aligned results respectively.Crude eyes binary masks are also generated and saved in ./faces/binary_masks_eyes. These binary masks can serve as a suboptimal alternative to masks generated through prep_binary_masks.ipynb.UsageRun MTCNN_video_face_detection_alignment.ipynb to extract faces from videos. Manually move/rename the aligned face images into ./faceA/ or ./faceB/ folders.Run prep_binary_masks.ipynb to generate binary masks of training images.You can skip this pre-processing step by (1) setting use_bm_eyes=False in the config cell of the train_test notebook, or (2) use low-quality binary masks generated in step 1.Run FaceSwap_GAN_v2.2_train_test.ipynb to train models.Run FaceSwap_GAN_v2.2_video_conversion.ipynb to create videos using the trained models in step 3.Miscellaneousfaceswap-GAN_colab_demo.ipynbAn all-in-one notebook for demostration purpose that can

A media to faceswap (photo, video).Select a photo of the face you wish to change. It can be a screen capture of the video, the cropped photo, anything.Select the face you want to replace the previous face.Options for faceswap:None: only enhanceAll: will faceswap every face found on each frame (= ignore "face to change")Best one: will faceswap only the face that has the best similarity score, lower than "minimum score limit". 25 is a good start.if no face lower than 25 is found, it will not faceswap the frame.Options for enhancer (warning, very long):None: will not enhance the frames. The face may be pixelized because the mask is not very defined.Best face only: will enhance only the face matching the "face to add".Faces only: will enhance all facesAll: will enhance all frame. OK for photos, forget for videos.Start => select the output filepath and goPreview => for videos, allow you to get snapshots of what it will look likeDebug matching scores => produces the media not faceswapped but with matching scoresCreditshenryruhs: for being the most active contributor to the first roop projectffmpeg: for making video related operations easydeepinsight: for their insightface project which provided a well-made library and models.Gourieff for the previous version of ReActor-UIand all developers behind libraries used in this project.ETH credits : 0x54e028632dd2e9da8c15f1894a0ff97a1afa3d49

DeepFaker face swap app helps you merge and morph any face in your videos! Magic face swap videoeditor does AI video with mega face filters, which enables you to swap baby face and old face in videos with only one selfie needed.With face swap on video, you can change the gender swap, age, expression (face dance) - reface.Upload your video and one selfie. A one click and the new face is on the deep fake video. Magic face morph has never been so easy.After AI video creation, you can share it with everybody on TikTok, Instagram, Facebook, Snapchat, or any other app.Put your funny face on any video with an AI video generator!It's easy and convenient to make magic AI faceswap videos with DeepFaker:1. Upload your favorite video or choose a video from the gallery2. Upload a selfie photo of the face3. Click and wait for DeepFaker to generate your face swap video4. Generate an AI video with funny filters, merge old face or baby face. 5. Share it with your mates.Experiment with mimic live face morph and gender swap by face editor.With the DeepFaker faceswap app, anyone can reface an AI video in a few simple moves and share it with friends for fun.Use the old face filters, merge baby faces in your video. Share the video on the network and shock your friends.Swap your face with any video you choose with mega face filters of deepfake tech! Swap your face to face celebrities, athletic stars, video star, exotic Indians with our amazing faceswap technology.Face videoeditor with multiple templates and custom videos.Anime and manga fans can also use DeepFaker's face swap app to bring their favorite characters to life! With the app's advanced technology, users can easily AI face swap their face with the character of their choice and