The repository already includes a list of ready-to-use public face models, including Keanu Reeves and Mr. Choose one of saved models, or enter a name to create a new model. /4. 可用VisiPics软件去除掉无意义的重复的图。. DeepFaceLab is designed to run on Windows 10 and Linux. ENV NVIDIA_REQUIRE_CUDA=cuda>=11. 4) “ 4) data. ahaha5485/deepfacelab - Docker HubFFMPEG NVIDIA/CUDA GPU-enabled Docker Container. In the previous article we went through some of the different approaches you can take to generate deep. png file for each frame will be created. CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. Hello! I have a gpu mx150 and i can't use it. Run the script below. Notes: . The different file types do different things and you won't run them all for the same. - Packages · iperov/DeepFaceLab. You can make docker image docker build -t deepfacelab_img . ashishlal opened this issue on May 28, 2021 · 15 comments. 1 ANACONDA_DIST=Miniconda3 To associate your repository with the deepfacelab topic, visit your repo's landing page and select "manage topics. Select your computer’s OS type and follow the instructions. Also not sure how to separate photos (frames) from videos/how to tell it "these files are videos (extract frames), these are already frames (extract faces)" D. Rowan Atkinson. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3. # fun tools. . 4. Quick start. deepfacelab中的AMP模型训练流程分享(搬运外网). . from deepface import DeepFace. To begin double click on “5) data_dst faceset extract. Reload to refresh your session. Now you can put your data_src. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. Operating system and version: Windows, macOS, Linux. Type g i on any issue or pull request to go back to the issue listing page. Example: The provided docker/Dockerfile does not download this repository at the moment. DeepFaceLab is currently the world's leading software for creating deepfakes, with over 95% of deepfake videos created with DeepFaceLab. if CUDA is not installed, then tensorflow is not using the GPU at all. 4k. Write landmark coordinates to chip and start training. • DeepFaceLab is the leading software for creating. Last pushed 2 months ago by ahaha5485. DeepFaceLab is an open-source deepfake system that enables users to swap the faces on images and on video. Install from the command line. No changes have been made to DeepFaceLab itself. We'll then take a look at DeepFaceLab, which is the all-in-one Tensorflow-powered tool often. docker build . We can replace NaN values with 0 to get rid of NaN values. So I'm wondering what is the issue with the training part. DeepFaceLive is an AI model available on GitHub that allows you to face swap in real time using trained face models. 4,. I get this error: `Step 12/14 : RUN conda activate chemprop---> Running in 1210dba161cc. The file named data_src is the source video from which the faces will be taken (without sound), the data_dst file is the video to which the face is transferred, the sound from it will be in the final video. Ubuntu 20. GitHub - iperov/DeepFaceLab: DeepFaceLab is the leading software for creating deepfakes. ashishlal opened this issue on May 28, 2021 · 15 comments. docker pull tensorflow/tensorflow:latest # Download latest stable image docker run -it -p 8888:8888 tensorflow/tensorflow:latest-jupyter # Start Jupyter server. 2) extract images from video data_dst FULL FPS. Note: our DFDNet can only generate 512×512 face result for any given face image. In this article series, we're going to show how deep fakes work, and show how to implement them from scratch. DeepFaceLab in a Docker Container. . The easiest is to simply start with a RunPod official template or community template and use it as-is. . Docker. DeepFaceLab. It’s a free and open-source software to create deepfake videos available for Windows 7, 8, 8. TensorFlow powers the software, which also requires Nvidia CUDA and DirectX 12. DeepFaceLabCUDA9. . Run face detection inside the 256x256 chips, but find a way to make sure that the landmarks are locked relative to the 256x256 box. Docker. 1:24:37 – Extracting DeepFace Live software, going over what files are included. conf. Deepface is a lightweight face recognition and facial attribute analysis ( age, gender, emotion and race) framework for python. DeepFaceLab GPU-enabled Dockerfile [Ubuntu 16. 0 cudnn=7. github","contentType":"directory"},{"name":"converters","path":"converters. Is FaceSwap more powerful than DeepFaceLab? perhaps a biased place to ask the question, but the DeepFaceLab sub is dead. So the problem is with the video creator. dll. You signed in with another tab or window. This container stack is designed to streamline the data science and machine learning workflows by integrating NVIDIA GPU-enabled acceleration, Anaconda 3, and JupyterLab. It is created by. Provides an NVIDIA GPU-enabled container with FFmpeg pre-installed on an Anaconda container xychelsea/ffmpeg-nvidia:latest, and optional Jupyter Notebooks container xychelsea/ffmpeg:latest-jupyter. The NVIDIA drivers and nvidia-docker runtime must be installed on host machine for GPU support. We'll then take a look at DeepFaceLab, which is the all-in-one Tensorflow-powered tool often used for creating convincing deep fakes. 0とは. Docker Install Guide . DeepFakeLab is one of the first deepfake apps for Windows that appeared on the internet. Download DeepFaceLab for free. It is created by “ extbf{iperov}” and published on GitHub. It offers an easy-to-use interface and gives high-quality. Download project files - 75. ahaha5485/deepfacelab - Docker Hub FFMPEG NVIDIA/CUDA GPU-enabled Docker Container. Have been attempting to extract data_dst faces. Make an easy way to run DeepFaceLab in Docker with cpu only mode for Mac Users,Check out DockerCPU. It uses deep learning algorithms to replace a person’s face in a video with another face. A software platform used for building applications based on containers — small and lightweight execution environments. 8k. 4 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. To deploy a model directly from the Hugging Face Model Hub to Amazon SageMaker, we need to define two environment variables when creating the HuggingFaceModel. Prebuilt DeepFaceLab, including GPU and CPU versions, can be downloaded from . linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; Improve this page Add a description, image, and links to the deepfacelab topic page so that developers can more easily learn about it. TensorFlow is an open source platform. Vanilla Anaconda docker run --rm -it xychelsea/anaconda3:latest An arbitrary face-swapping framework on images and videos with one single trained model! - GitHub - neuralchen/SimSwap: An arbitrary face-swapping framework on images and videos with one single trained model! Docker Start by installing and initializing the Cloud SDK. I launched an g4dn. Docker is available in repositories of many other Linux distros. 4. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. Growth - month over month growth in stars. deep-learning faceswap neural-networks deepfake google-colab-notebook deepfacelab Updated May 1, 2023; Jupyter Notebook; ai-forever / ghost Star 883. That is, you have cloned this repository before you start the installation. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; douglasdavis / pygram11 Star 27. Pro Mode gives you a better quality deepfake, but it needs the latest generations of GPU to run — SwapFace recommends at least an RTX 30 graphics card. Notifications. Docker compose. CUDA is required for GPU usage. To ensure that Docker is running, run the following Docker command, which returns the current time and date:Install DeepFaceLab and DeepFaceLab for Linux Check latest cudnn and cudatoolkit version for your GPU device, you can see your driver and CUDA version by issueing: nvidia-smi and you can check in the Official Compatibility List to see which cuDNN and cudatoolkit version you should install. Write "cp -r DeepFaceLab_Linux DeepFaceLab; mv DeepFaceLab DeepFaceLab_Linux/" and hit Enter. Demo. Contribute to idonov/DeepFaceLab by creating an account on DagsHub. . You will train models on these datasets and these models can again have different parameters which will have different results. Why Overview What is a Container. The scripts will set up a Docker container for you and install the latest version of the Faceswap software. ENV NVIDIA_REQUIRE_CUDA=cuda>=11. 0-gpu-py3. Contribute to aspera-non-spernit/DeepFaceLab_Docker development by creating an account on GitHub. See DeepFaceLab project for links to. new architecture, easy to experiment with models Save Page Now. 4. Products Product Overview Product Offerings Docker Desktop Docker Hub Features Stable Diffusion. py",. We are a group of communication designers that have created this project to demonstrate our research into making our own deep fake, and to communicate the signs you can spot to identify them. 7 cudnn=8 cudatoolkit=11DeepFaceLab is a powerful AI-powered software that allows you to create high-quality face swaps and manipulations in videos with incredible ease. This is the kit that allows you to interact with GCP from your computer’s terminal. Mentions. Code. How to Make a DeepFake Video with DeepFaceLab 1. DeepFaceLab: A widely-used software for creating Deepfake videos, DeepFaceLab provides a graphical user interface (GUI) and a set of pre-built models, allowing users to create Deepfake without. /scripts/0_setup. The deceptively real Tom Cruise deepfake was created using DeepFaceLab, now banned in Colab. Last pushed 2 years ago by xychelsea. 일부 고효율 component나 tool들이 도입되어 user. As you have already specified the WORKDIR in the Dockerfile. One of the most powerful tools in the field, it utilizes machine learning algorithms and GPU acceleration to create high-quality fake videos. Star 43. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. Unraveling the mystery around deepfakes. 1. COPY . More than 2448 downloads this month. I just created my first deepfake. 6. So the guy usually would go docker run smth /bin/bah and then ps. Open Docker. Loaded 0 packed faces from E:DEEP FAKESOFTWAREDeepFaceLabDeepFaceLab_NVIDIAworkspacedata_dstaligned Error: No training data provided. II. Curate this topic Add this topic to your repo To. py", line 115, in _main. This pull request addresses an issue with recognizing NVIDIA drivers inside the container. Add a description, image, and links to the deepfacelab topic page so that developers can more easily learn about it. Also, it includes several features such as detection and alignment of faces, training. No changes have been made to DeepFaceLab itself. import cv2. 3. Where people create machine learning projects. How to Label XSeg Masks with DeepFaceLab 2. If you want to support mac/linux/docker - create fork, it will be referenced here. This is the only program that won't run. This is done by using fillna () function. Here is the thing in the sae hd bat Running trainer. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. Contributor. 0は以前より高速化され精度も向上しました。ただAMDに対応されなくなったので注意です。DeepFaceLab with NVIDIA/CUDA GPU support. You can now access your container at any time with the following command. 0 from AUR not work, need use nvidia-container-toolkit-v1. Manual re-extract poorly aligned frames Example Face Sets: . Currently, there's only one option available to install DeepFaceLab Linux. DeepFaceLab NVIDIA up to RTX 2080 TI build - for Nvidia GPUs that support CUDA, and are not from series 3000. 1 ANACONDA_DIST=Miniconda3 |15 ANACONDA_ARCH=x86_64 ANACONDA_CONDA=4. For examples, DeepFaceLab can swap any area of faces and conduct high-quality face-swapping even under heavy occlusion with the help of few-shot human labeling and XSeg. 2) extract images from video data_dst FULL FPS. DeepFaceLab works great, but you need to have the technical knowledge to use it. deepfacelab-docker-multi Prepare system. DeepFaceLive is an AI model available on GitHub that allows you to face swap in real time using trained face models. Anaconda 3 Environment for GPU-enabled and Jupyter Lab Docker Containers. Note: The user running the docker container must be member of the group "docker. ahaha5485/deepfacelab - Docker Hub If not, see <xychelsea/ffmpeg-nvidia:v0. Getting started: DeepFaceLab vs Faceswap Two open source deepfake generation projects — DeepFaceLab(DFL) @ and Faceswap — dominate the field. Even tried replacing the kernel32. 0は機械学習を利用して動画の顔を入れ替えるツールです。 以前にDeepFaceLab 1. Go back to Docker Hub Home. In this article series, we're going to show how deep fakes work, and show how to implement them from scratch. . Last pushed 4 years ago by slamhan Advanced users and developers can visit the /docker subdirectory in the DeepLabCut codebase on Github. DeepFaceLive is an AI model available on GitHub that allows you to face swap in real time using trained face models. 5 CMD ["python", ". More than 27 alternatives to choose: Avatarify, DALL·E, Auto Face Swap Pro and more. Developers Getting Started Play with Docker Community Open Source Documentation. DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 Dockerfile 40 20 ffmpeg-docker ffmpeg-docker Public. jpg","contentType":"file"},{"name. jpg","path":"doc/windows/DroidCam_0. 1:28:55 – Copying the DFM file over to the DeepFace Live model folder. Mac/linux/docker script support. Contribute to idonov/DeepFaceLab by creating an account on DagsHub. The problem was in the video card. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3. xhost + in the start. docker push repo/name:tag. # video editing. docker login. Closed. DeepFaceLab 2. . Phase II: Training. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading. 23, 2023. This page contains information on how to install Docker using binaries. This repo supports only windows build of scripts. Code Issues Pull requests Just an app to use DeepFaceLab with a user interface. Facesets of FaceSwap or FakeApp are not compatible with this repo. I've tried everything. commented. By following the steps and suggestions laid out in this document, you will be. DeepFaceLab can be used for a variety of applications, from entertainment and professional productions to custom implementations and deep learning research. It is not yet clear whether the restriction also applies to the "Pro" and "Pro+" variants of Colab. Totally agreed, even on an older version of faceswap I could do a way better video than the one in this video, not even the best model. 9k次，点赞2次，收藏12次。DeepFaceLab 在windows图形界面部署比较多，下面用ubuntu 部署在服务器上。部署过程中docker镜像可以共享python版本，或者protobuf版本可能有问题，所以建议用docker. XSegEditor , delete button now moves the face to _trash directory and…. docker pull tensorflow/tensorflow:latest # Download latest stable image docker run -it -p 8888:8888 tensorflow/tensorflow:latest-jupyter # Start Jupyter server Another insight: if I enter the docker container using docker exec -i -t deepfacelab /bin/bash I can run the scripts: cd scripts && . mp4”, extract the images and saves them to the “data_dst” folder. Finally set the jpeg quality to “90” and press “Enter”. linux/amd64. 4. Compressed Size. | Image: metaphysic. mp4 and data_dst. 3 ANACONDA_CONTAINER=v0. Step 7: Select Fast Mode, or Pro Mode. [new] No saved models found. The following settings work for the above environment. I have to do cpu, but it is slow. jupyter","path. It offers an easy-to-use interface and gives high-quality results, allowing you to modify every aspect of the face-swap to achieve customized and cinema-quality outcomes. docker face-swap. In the previous article we completed the pipeline for our Deep Fakes DIY solution. FFmpeg with NVIDIA/CUDA support. mp4”. 3. Code Issues. 1 ANACONDA_DIST=Miniconda3 docker pull slamhan/deepfacelab-gpu:1. 1 ANACONDA_DIST=Miniconda3DeepLabCut Docker containers# For DeepLabCut 2. A skill in programs such as AfterEffects or Davinci Resolve is also desirable. linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; dream80 / DeepFaceLab_Colab Star 733. 1:32:00 – Camera bugs out because it’s still enabled in OBS – Removing the camera from OBS. FFmpeg is the leading multimedia framework, able. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading. BLACK FRIDAY DEAL: Get 94% Discount on the Complete Cinecom Bundle: - Learn how. Provides an NVIDIA GPU-enabled container with FFmpeg pre-installed on an Anaconda container xychelsea/ffmpeg-nvidia:latest, and optional Jupyter Notebooks container xychelsea/ffmpeg:latest-jupyter. Since this series is focused on the nuts and bolts of. 1. With smth like --rm the evidence of process gone and this command does not work for obvious reasons for stopped containers. Once the window opens, select the GPU device and press “Enter”. 0 deepfake software for Windows, Linux, and Google Colab. These are broadly representative input/output sizes in the five years since deepfakes emerged, though better-specced deepfakers also use 384, 768, and various other resolutions. By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. docker pull xychelsea/deepfacelab:latest-gpu. 4. Prebuilt DeepFaceLab, including GPU and CPU versions, can be downloaded from . The release notes have been reorganized into two major sections: the general CUDA release notes, and the CUDA libraries release notes including historical information for 12. DeepFaceLive. That is, you have cloned this repository before you start the installation. 1. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Deepfake defense not only. See Docker's documentation for details on how this affects the security of your system. (if you are not using prebuilt windows binary) THIS IS NOT TECH SUPPORT FOR NEWBIE FAKERS POST ONLY ISSUES RELATED TO BUGS OR CODE Expected behavior I. Learn more about packages. 4 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450 deepface. 04 and you will have created an identical environment. 3 ANACONDA_CONTAINER=v0. aspera-non-spernit / DeepFaceLab_Docker Star 4. 5 MB Deep fakes - the use of deep learning to swap one person's face into another in video - are one of the most interesting and frightening ways that AI is being used today. If you want a higher quality or better face match, you can train your own face model using DeepFaceLab. new models . docker login. # $ docker run --rm -it xychelsea/deepfacelab:latest /bin/bash # $ docker push xychelsea/deepfacelab:latestIperov is also credited as one of the main developers of DeepFaceLab, the most widely used open-source tool for creating deepfakes. Next, install Docker on your machine. Reface: A deepfake app for instant face-swapping with celebrities and popular characters. DeepFaceLab in a Docker Container. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; Lenny4 / DeepFaceLabClient Star 61. DeepFaceLab in a Docker Container. Method 2: Replace NaN values with 0. 我是能通的_deepfacelab linux 安装专栏 / DeepFaceLab和DeepFaceLive下载教程 DeepFaceLab和DeepFaceLive下载教程 2023年03月04日 09:06 --浏览 · --喜欢 · --评论Nice, so do it instead of crying. Obviously FaceSwap is infinitely more user friendly, so then the question becomes why does anyone is DFL at all? If I'm looking to use one of them in a professional setting, is one better than the other? {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. After setting up Docker, you can learn the basics with Getting started with Docker. 0-rc. deepfake deepfacelab theoffice. Code Issues Pull requests Just an app to use DeepFaceLab with a user interface. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 - Issues · xychelsea/deepfacelab-docker. It provides. 10. nVidia-Docker: Access to the nVidia GPU on host machine from inside container. Not sure if that makes any difference, The motion does not seem natural , there are some. These are then trained , so that the non-adjusted masks in-between those ‘manual’ frames (which represent the exemplary training data) are conformed to the user-edits, obviating the need to manually. sh to get DeepFaceLab, create virtual env and install necessary Python dependencies. For the last ~5s of each epoch, the GPU usage increases to ~15-17% (up from ~6-7% for the first 195s of each epoch). Manage code changesCUDNN not installed. File "f:DeepFaceLabDeepFaceDeepFaceLab_NVIDIA. 04 NVIDIA-Driver : 510. Currently, there's only one option available to install DeepFaceLab Linux. We provide Dockerfiles for all images, along with build instructions there. Developed by sf-editor1, this open-source deepfake system is leading in the market with over 95% of created deepfake videos alone. DeepFaceLab is an open-source deepfake software that works on Windows computers. 推荐使用第三方软件 MVE (Machine Video Editor) 进行切图纠错、蒙板管理，很强大，有兴趣的自行研究。. Some users report that this will cause a conflict in multi-GPU systems. 04 w/ CUDA v9, CUDNN v7] # adapted from the official tensorflow docker builds. Let’s get started! Image taken from iperov’s Github README. GitHub is where people build software. Essential Characteristics. Here is an example of Arnold Schwarzneggar trained on a particular face and used in a video call. |15 ANACONDA_ARCH=x86_64 ANACONDA_CONDA=4. Customize a Template. co/models when creating or SageMaker Endpoint. You can run it at home, on a private server, or in the cloud. Key features include face replacement, de-aging, head replacement, and lip manipulation of politicians. docker ai faceswap deepface deepfake Updated Nov 4, 2023; angela-goncalves / diferent_decade Star 0. In this case my repo is runpod, my name is tensorflow, and my tag is latest. No milestone. Download project files. 2_data_src_sort. Experiments show that human beings have 97. in training…. jpg","path":"doc/windows/DroidCam_0. Bean! Users can also train their own face models using DeepFaceLab for higher quality or better face matching. This guide will show you where to download DeepFaceLab deepfake software, which build version you should choose, explain system requirements and optimizations, and. Whether you use the command-line interface, Docker container, or Helm chart, Model Analyzer gathers the compute requirements of your models, allowing you to maximize. The leading software for creating deepfakes. #14 opened on Jun 3, 2021 by seaniedan. We have used some of these posts to build our list of alternatives and similar projects. linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; Improve this page Add a description, image, and. Go back to Docker Hub Home. 0 Installation Guide for AMD, NVIDIA, Intel HD, and CPU. py"] The build is fine: Sending build context to Docker dae. 5. You should try to reproduce the issue and using the Task Manager, go to the Processes tab and organize by the Memory column so we can see what processes are consuming RAM, then go to the Performance tab > Memory and note the metrics at the bottom. Once your image is built, you can push it by first logging in. docker ai. 1 conda activate deepfacelab # 获取DFL源代码，安装python依赖。In this article I’ll give you a brief explanation of some of the approaches you could take to generate deep fakes: Autoencoders (DIY), DeepFaceLab (pre-packaged), and Faceswap (pre-packaged). jupyter","path. You can. I personally don't like adding frameworks/structures that I don't. You can make docker image docker build -t deepfacelab_img . Putting everything together to look at the memory metrics for a Docker container, take a look at the following paths: /sys/fs/cgroup/memory/docker/<longid>/ on cgroup v1,. It is the next-generation user interface for Project. To initialize your shell, runThis DeepFaceLab guide will serve as both a reference and a step-by-step tutorial covering the entire process. Example:The provided docker/Dockerfile does not download this repository at the moment. 8 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 |15 ANACONDA_ARCH=x86_64 ANACONDA_CONDA=4. 1:26:50 – Exporting the SAEHD DFM file of Jim Varney. bat, these scripts are used to run various processes required to create a deepfakes, in the main folder you'll see them and 2 folders:. DeepFaceLab is an open source research project, based on TensorFlow exploring the role of machine learning as a tool in the creative process. To create a deepfake, it’s most common for someone to create a video and replace a person’s face with that of a celebrity or other well-known person. The indispensable pipeline that it serves is easy-to-use even for users that have no. 接下来是重要的整理工作：. sh to get DeepFaceLab, create virtual env and install necessary Python dependencies. Reload to refresh your session. To associate your repository with the faceswap topic, visit your repo's landing page and select "manage topics. 8k. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; deepartist / DeepFaceLab_Colab Star 5. You should spend time studying the workflow and growing your skills. 1) Install and start/enable. I get as far as: Step 16/24 : RUN conda create -c nvidia -n deepfacelab pytho. Contribute to idonov/DeepFaceLab by creating an account on DagsHub. ahaha5485/deepfacelab - Docker HubHere I’ll deep dive into creating our Docker container for the training of our deep fake models and submitting the job onto Google AI Platform. Now you can run Avatarify on any computer without GPU! 7 May 2020. First we need to head on over to Github and install one of DeepFaceLab’s Prebuilt Windows Releases.