mp4”, extract the images and saves them to the “data_dst” folder. This Faceswap repo contains Docker build scripts for CPU and Nvidia backends. 3. /4. It is now read-only. A software platform used for building applications based on containers — small and lightweight execution environments. Now you can put your data_src. The quality is not the best, and requires fine face matching and tuning parameters for every face pair, but enough for funny videos and memes or real-time streaming at 25 fps using 35. 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. That is, you have cloned this repository before you start the installation. Free. Rowan Atkinson. To build your container, go to the folder you have your Dockerfile in, and run. Neither the tool nor the image is meant to be used for making illicit or obscene imagery. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace, Dlib and SFace. py. Products Product Overview Product Offerings Docker Desktop Docker Hub Features创建DeepFaceLab的虚拟环境，并激活。 conda create -y -n deepfacelab python=3. 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. 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). Faces sets for the following have been pre-extracted, ; Nicolas Cage ; Steve Jobs ; Putin ; Elon Musk ; Harrison Ford . 1. Google ColabでDeepFaceLabを使うべき人は？. docker push repo/name:tag. Manage code changesThe text was updated successfully, but these errors were encountered:97. 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 run --gpus all --rm -it xychelsea/deepfacelab:latest-gpu /bin/bash","# $ docker push xychelsea. Only the NVIDIA GeForce display driver needs to be installed. Docker Hub address. 6 cudatoolkit=9. 10. 1 and 10. DeepFaceLab works great, but you need to have the technical knowledge to use it. graphic design free. Added remote GPU support for all platforms (based on mynameisfiber's solution). DeepFaceLab: Best free deepfake maker software on PC for advanced users to create a deepfake. This container stack is designed to streamline the data science and machine learning workflows by integrating NVIDIA GPU-enabled acceleration, Anaconda 3, and JupyterLab. Curate this topic Add this topic to your repo To. Currently, there's only one option available to install DeepFaceLab Linux. Step 2: Training. docker run --name=chatgpt-demo -e OPENAI_API_KEY=YOUR_OPEN_API_KEY -p 3000:3000 -d ddiu8081/chatgpt-demo:latest-e define environment variables in the container. If you want better control over what gets. You can now access your container at any time with the following command. Some users report that this will cause a conflict in multi-GPU systems. Download project files. We have used some of these posts to build our list of alternatives and similar projects. DeepFaceLab 2. Starting with CUDA 11, the various components in the toolkit are versioned independently. Key Features: High-quality face-swapping: Achieve impressive results with the ability to swap faces seamlessly. Apr 8, 2020. Containerized version of DeepFaceLab aimed for a fast workflow. Two projects dominate open source deepfake generation, DeepFaceLab(DFL) and Faceswap. OS: Ubuntu 20. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"scripts","path":"scripts","contentType":"directory"},{"name":"Dockerfile","path":"Dockerfile. Development of this open source project is a collaboration between Perov. This pull request addresses an issue with recognizing NVIDIA drivers inside the container. Not sure if this helps or indicates there's a bottleneck somewhere besides the GPU. Once your image is built, you can push it by first logging in. Using only a few photos, DeepFaceLab can generate a convincing. DFL Downloads & Resources. 1","LABEL description=\"DeepFaceLab GPU Container\"","","# $ docker build --network=host -t xychelsea/deepfacelab:latest-gpu -f Dockerfile. 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 && . linux/amd64. DeepFaceLab in a Docker Container. The indispensable pipeline that it serves is easy-to-use even for users that have no comprehensive. Caution: The docker group is equivalent to the root user. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. It uses deep learning algorithms to replace a person’s face in a video with another face. Actual behavior ERROR CODE: `Running trainer. sh. BLACK FRIDAY DEAL: Get 94% Discount on the Complete Cinecom Bundle: - Learn how. FFmpeg compiled inside an NVIDIA-enabled Docker. This Faceswap repo contains Docker build scripts for CPU and Nvidia backends. 3. Releases Tags. Bean! Users can also train their own face models using DeepFaceLab for higher quality or better face matching. 4 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450 deepface. At the bottom of the banned list, it. 4xlarge 1 16 64 16 I successfully installed the nvidia-container-toolkit, and launched a. The problem was in the video card. 1:26:50 – Exporting the SAEHD DFM file of Jim Varney. It works just by using cpu. The result you get will be waiting for you in the “Workspace” folder with the name “result. Although it may require some technical knowledge and tutorials to get started, DeepFaceLab provides an. DeepFaceLab in a Docker Container. It is specifically built to maximize the advantages of GPU computing while providing a user. Dont' copy your files to /. Deepfake creators use deep learning AI so that people can use deepfake for humour and satire. Traceback (most recent call last): File "E:DEEP FAKESOFTWAREDeepFaceLabDeepFaceLab_NVIDIA_internalDeepFaceLabmainscriptsTrainer. DeepFaceLab in a Docker Container. xhost + in the start. It is now read-only. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3. Its widespread adoption is a testament to its. Code to reproduce the issue # tested on devel-gpu-py3 (where tf wheel builded) and latest-gpu-py3 docker pull. {"payload":{"allShortcutsEnabled":false,"fileTree":{"doc/windows":{"items":[{"name":"DroidCam_0. Let's take DeepFaceLab as example and check the steps to make a DeepFake video. We'll then take a look at DeepFaceLab, which is the all-in-one Tensorflow-powered tool often used for creating convincing deep fakes. When trying to create a Docker image through docker build -t chemprop . A skill in programs such as AfterEffects or Davinci Resolve is also desirable. FFmpeg is the leading multimedia framework, able. Also, it includes several features such as detection and alignment of faces, training. jupyter","path. and as well CMD command to. Step 7: Select Fast Mode, or Pro Mode. Windows 7,8,8. Open Docker. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; douglasdavis / pygram11 Star 27. Anaconda is the preferred method of installing DeepFaceLab on Linux. It’s a great option if you’re looking to get a deeper understanding of deepfakes and the technology behind them. DeepFaceLab is a graphic and design utility that enables you to efficiently swap faces on any image or video. 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. Second, check to ensure that directory of ffmpeg is /usr/local/ffmpeg-nvidia by entering which ffmpeg into a shell. 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。. Solution: replace the video card. To solve this problem, we present DeepFaceLab, the current dominant deepfake framework for face-swapping. While in the container, change to your home directory with cd. This is designed to set up environment with the docker run part executing just one shell command inside mounted volumes. DeepFaceLab is a cutting-edge software that has revolutionized the world of deepfake technology, enabling users to create highly realistic face-swapping videos with ease. You use DeepFaceLab to create deepfake videos. There are multiple other options, but from my perspective these are the most relevant solutions. Even by 2018 standards it's complete crap. The contributions of DeepFaceLab can be summarized as three-folds: •A state-of-the-art framework consists of a maturity pipeline is proposed, aiming to achieve photorealistic face-swapping results. The scripts will set up a Docker container for you and install the latest version of the Faceswap software. Bug Description Hi, everyone! When I try to use autokeras fit some data and label, I encounter such warnings as: "semaphore_tracker: There appear to be 1 leaked semaphores to clean up at shutdown l. The following settings work for the above environment. deep-learning faceswap neural-networks deepfake google-colab-notebook deepfacelab Updated May 1, 2023; Jupyter Notebook; ai-forever / ghost Star 883. From the project directory, run 6. 一般是不用这么做. • ディテールを豊富して動画. Anaconda 3 Environment for GPU-enabled and Jupyter Lab Docker Containers. facefusion / facefusion-docker Star 106. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace, Dlib and SFace. SimSwap. Where people create machine learning projects. So the problem is with the video creator. Result path contains the following folder: Step0_Input: # Save the input image. 0 from AUR not work, need use nvidia-container-toolkit-v1. PhotoPrism: Browse Your Life in Pictures. 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. You can now access your container at any time with the following command. Machine Video Editor. You may need to restart your system after adding yourself to the docker group. . Why Overview What is a Container. Products Product Overview Product Offerings Docker Desktop Docker Hub Features Container Runtime Developer Tools Docker App Kubernetes. In addition to Python and Anaconda, this Docker container stack also comes equipped with JupyterLab, an interactive web-based interface for Jupyter notebooks, code, and data. More than 27 alternatives to choose: Avatarify, DALL·E, Auto Face Swap Pro and more. machine-learning deep-neural. The provided docker/Dockerfile does not download this repository at the moment. 1","LABEL description="DeepFaceLab GPU Container"","","# $ docker. from deepface import DeepFace. Since this series is focused on the nuts and bolts of. Based on original FaceSwap repo. After that we’ll do a deep dive into XSeg editing. How to Make a DeepFake Video with DeepFaceLab 1. DFL and Faceswap have barely changed in the past year. ENV NVIDIA_REQUIRE_CUDA=cuda>=11. In a Discord group for rival deepfake software. OS/ARCH. 4) “ 4) data. Write landmark coordinates to chip and start training. mp4 files into the workspace/ dir and start running scripts from the scripts/ dir. Communication groups:22 code implementations in TensorFlow and PyTorch. 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. Why Overview What is a Container. Mega or BitTorrent (magnet link inside). It makes use of the latest technologies to tag and find pictures automatically without getting in your way. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3. DeepFaceLive is an AI model available on GitHub that allows you to face swap in real time using trained face models. 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. Download from MegaDeepFaceLab 2. " GitHub is where people build software. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 - deepfacelab-docker/README. DeepFaceLive for docker #5630. DeepFaceLab is the leading software for creating deepfakes. I just can't use the Jupyter notebook as a tool, as if I do: import numpy or import colorama I get 'module not found' errors. We provide Dockerfiles for all images, along with build instructions there. 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. Here is the thing in the sae hd bat Running trainer. DeepFaceLab is available for free and can be downloaded. Currently, there's only one option available to install DeepFaceLab Linux. Clone this repository, run the docker-compose command and clear the. deepfacelab-docker. The contributions of DeepFaceLab can be summarized as three-folds: •A state-of-the-art framework consists of a maturity pipeline is proposed, aiming to achieve photorealistic face-swapping results. 文章浏览阅读1. python -m pip install tensorflow-macos python -m pip install tensorflow-metal. The next step is choosing the model you want to train. Thanks to mikaelhg and mintmaker for contribution! 22 May 2020. The leading software for creating high-quality deepfake videos with an easy-to-use interface. I get this error: `Step 12/14 : RUN conda activate chemprop---> Running in 1210dba161cc. Loaded 0 packed faces from E:DEEP FAKESOFTWAREDeepFaceLabDeepFaceLab_NVIDIAworkspacedata_dstaligned Error: No training data provided. After that, we need to install the numpy version and the shap version according to need. We can replace NaN values with 0 to get rid of NaN values. 8 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471DeepFaceLab. The different file types do different things and you won't run them all for the same. For this basic deepfake, we’ll use the Quick96 model since it has better support for low-end GPUs and is generally more beginner friendly. DeepFaceLab is the leading software for creating deepfakes. Its face replacement, de-aging, head replacement, and lip manipulation functionalities provide endless possibilities in various industries, from film to entertainment and political. Currently, there's only one option available to install DeepFaceLab Linux. sh to get DeepFaceLab, create virtual env and install necessary Python dependencies. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 - deepfacelab-docker/version at main · xychelsea/deepfacelab-dockerPosts with mentions or reviews of DeepFaceLab . Docker3) “ 3. At the core of this technology lies a powerful artificial intelligence (AI) system called Generative Adversarial Networks (GANs), which has been instrumental in the rapid. - GitHub - Twenkid/DeepFaceLab-SAEHDBW: Grayscale SAEHD model and mode for training deepfakes. py", line 115, in _main. FFmpeg is the leading multimedia framework, able. This is designed to set up environment with the docker run part executing just one shell command inside mounted volumes. 0 cudnn=7. lxc exec deepfacelab -- su ubuntu. 1:29:50 – Running DeepfaceLive. Reload to refresh your session. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 Dockerfile 40 20 ffmpeg-docker ffmpeg-docker Public. STEP 5: GRAND FINAL! 8) merged to mp4. 2SSE - for NVIDIA cards up to GTX1080. FFmpeg with NVIDIA/CUDA support. Key features include face replacement, de-aging, head replacement, and lip manipulation of politicians. DeepFaceLab 2. 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). See Docker's documentation for details on how this affects the security of your system. To do that, run the following command in CLI:DeepFaceLab is an open-source deepfake system created by iperov for face swapping with more than 3,000 forks and 13,000 stars in Github: it provides an imperative and easy-to-use pipeline for people to use with. The provided docker/Dockerfile does not download this repository at the moment. How To Make DeepFakes With DeepFaceLab - An Amatuer's Guide . Docker docker pull xychelsea/anaconda3:latest-gpu With Jupyter Notebooks server pre-installed, pull with: docker pull xychelsea/anaconda3:latest-gpu-jupyter Running the containers. All is working great (ffmpeg, sorting scripts) until I try to train : (deepf. ahaha5485/deepfacelab - Docker Hub FFMPEG NVIDIA/CUDA GPU-enabled Docker Container. 3. I have to do cpu, but it is slow. ahaha5485/deepfacelab - Docker Hub If not, see <xychelsea/ffmpeg-nvidia:v0. See moreDocker. . Now, you will need to install deepface and retina-face without dependencies, and then install the necessary packages manually (if any other packages. To begin double click on “5) data_dst faceset extract. (by iperov) The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. 1. Aprenda a construir deepafakes realistas com o maior framework Open source (DeepFaceLab). Code Issues Pull requests react ai nextjs faceswap replicate sdxl Updated Oct 31, 2023. Modified versions of nvidia/cuda:latest container, with support for NVIDIA/CUDA graphical processing units through the Tini shell. Contribute to idorg/DeepFaceLab by creating an account on DagsHub. . DeepFaceLabCUDA9. • DeepFaceLab is the leading software for. 4. Last pushed a year ago by ahaha5485. 0を記事としてアップしていましたが、2. 2. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. 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. mp4”, extract the images and saves them to the “data_dst” folder. Essential Characteristics. Once your image is built, you can push it by first logging in. python macos numpy pypi cpp14. Another insight: if I enter the docker container using docker exec -i -t deepfacelab /bin/bash I can run the scripts: cd scripts && . 1) Install and start/enable Docker. There are also dozens of image editing algorithms available in the mergence phase to generate satisfactory results. Run face detection inside the 256x256 chips, but find a way to make sure that the landmarks are locked relative to the 256x256 box. DeepFaceLab Docker Container w/ NVIDIA/CUDA GPU support and FFmpeg NVENC support Major Update to include support for more recent drivers. 4) “ 4) data. Just follow the tutorial. . 2. 6. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". Have been attempting to extract data_dst faces. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 - Issues · xychelsea/deepfacelab-docker. . DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. 3. click ️ for Apple w/M1/M2, and then click the “…” and Download. These instructions are mostly suitable for testing purposes. • DVDや動画の映像を300％拡大. imread () reads the image from the file and. That is, you have cloned this repository before you start the installation. 1. Hello! I have a gpu mx150 and i can't use it. The provided docker/Dockerfile does not download this repository at the moment. Code Issues Pull requests DeepFaceLab in a Docker Container. (1) Innovative tool that simplifies the process of swapping faces in videos. Face Animator. Prerequisites (if you don’t have Docker installed already)# (1) Install Docker. Make an easy way to run DeepFaceLab in Docker with cpu only mode for Mac Users,Check out DockerCPU. linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; CyberRacc / batch-frames-extract Star 2. Where people create machine learning projects. sh to get DeepFaceLab, create virtual env and install necessary Python dependencies. Install Anaconda. This tool is designed in such a way that. machine-learning deep-neural. Bean! Users can also train their own face models using DeepFaceLab for higher quality or better face matching. 4. Code. 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. To associate your repository with the faceswap topic, visit your repo's landing page and select "manage topics. DeepFaceLab is currently the world's leading software for creating. Reload to refresh your session. DeepFaceLab in a Docker Container. In this case my repo is runpod, my name is tensorflow, and my tag is latest. Unfortunately, there is no "make everything ok" button in DeepFaceLab. 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. DeepFaceLab. Wow, Freddy! Thank you for that detailed analysis! Indeed, that makes sense, knowing the part about the page file allocation and automatic = max. DeepFaceLive for docker. Developed by sf-editor1, this open-source deepfake system is leading in the market with over 95% of created deepfake videos alone. - Packages · iperov/DeepFaceLab. nVidia-Docker: Access to the nVidia GPU on host machine from inside container. This will create the workspace folder and checkout the right DFL branch of my repo in the right place. Where people create machine learning projects. DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. pyplot as plt. 0 Installation Guide for AMD, NVIDIA, Intel HD, and CPU. Capture a web page as it appears now for use as a trusted citation in the future. Discover how deepfakes work and the visual clues you can use to identify them. fix model export. #5630. It is not yet clear whether the restriction also applies to the "Pro" and "Pro+" variants of Colab. Photorealistic한 face swapping을 수행하며 완전한 pipeline을 갖는 sota framework. Note: The user running the docker container must be member of the group "docker. Contribute to idorg/DeepFaceLab by creating an account on DagsHub. Now you can run Avatarify on any computer without GPU! 7 May 2020. Write "cd DeepFaceLab_Linux; mkdir workspace; cd DeepFaceLab; git checkout DFL" and hit Enter. Python version: 3. DeepFaceLab in a Docker Container. Experiments show that human beings. It’s a free and open-source software to create deepfake videos available for Windows 7, 8, 8. ; Arch linux. Silomat commented on Dec 3, 2021. Note: our DFDNet can only generate 512×512 face result for any given face image. DeepFakeLab is one of the first deepfake apps for Windows that appeared on the internet. jupyter","path. /4. Unraveling the mystery around deepfakes. 1:24:37 – Extracting DeepFace Live software, going over what files are included. examples. Code Issues Pull requests Next generation face swapper and enhancer . md). The indispensable pipeline that it serves is easy-to-use even for users that have no. Download DeepFaceLab for free. 2: meiyouruguo 2023-10-2: 20287: 84395703 昨天 07:32: deepfacelab. valador opened this issue on Feb 27 · 2 comments. x releases. XSegEditor , delete button now moves the face to _trash directory and…. 8k. linux/amd64. docker run -it --gpus all -p 8888:8888 tensorflow/tensorflow:latest. Where people create machine learning projects. 5. . Open. In the previous article we went through some of the different approaches you can take to generate deep. Run script . You will train models on these datasets and these models can again have different parameters which will have different results. DeepFaceLab is an open source deep fake software used for creating deep fakes by using AI based algorithms. 4. Next, install Docker on your machine. You signed in with another tab or window. github","path":". DeepFaceLab in a Docker Container. 1. Prepare two videos, and name them: The video has the face need to be replaced as data_dst. I just can't use the Jupyter notebook as a tool, as if I do: import numpy or import colorama I get 'module not found' errors. You should spend time studying the workflow and growing your skills. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3. A Docker container runs in a virtual environment and is the easiest way to set up GPU support. ashishlal opened this issue on May 28, 2021 · 15 comments. Curate this topic Add this topic to your repo. Compressed Size . {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. 第一次选src，第二次选dst，很多对Deepfacelab不了解的人可能只点了一个，后面就会报错了。. Quick FAQ. Capture a web page as it appears now for use as a trusted citation in the future. Open the directory . This may take several minutes to run. The NVIDIA drivers and nvidia-docker runtime must be installed on host machine for GPU support. 2_data_src_sort. 2) extract images from video data_dst FULL FPS. The deceptively real Tom Cruise deepfake was created using DeepFaceLab, now banned in Colab. Ex) counter strike, valorant, lol, 3dmark, video Even CUDA driv. If you want to support mac/linux/docker - create fork, it will be referenced here. Only the NVIDIA GeForce display driver needs to be installed. bat ” Same as step two, it will take “data_dst. DeepFaceLab 2. jupyter","path. 1. 1,10 zero dependency (just install/update your GeForce Drivers) prebuilt DeepFaceLab (include GPU and CPU versions) can be downloaded. Contribute to kavichu/deepfacelab-vnc development by creating an account on GitHub. Docker is available in repositories of many other Linux distros. Goal: RTX 2080 TI. Github DeepfaceLab:Noss.