iperov / DeepFaceLab Public archive. 52 participants. Download project files - 75. DeepFaceLab is the leading software for creating deepfakes. GitHub is where people build software. However, right off the bat, there seems to be a pretty big discrepancy? You mention placing videos in a "workspace/" folder. Goal: RTX 2080 TI. DeepFaceLab in a Docker Container. jupyter","path. 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:. When trying to create a Docker image through docker build -t chemprop . py -> data_src -> (photos and videos) Data_src -> (photos and videos) Those are examples of what i think may be correct routing, but cant get it to work. There are also dozens of image editing algorithms available in the mergence phase to generate satisfactory results. Stars - the number of stars that a project has on GitHub. Step1_CropImg: # Save the cropped face images and resize them to 512×512. More than 27 alternatives to choose: Avatarify, DALL·E, Auto Face Swap Pro and more. We'll then take a look at DeepFaceLab, which is the all-in-one Tensorflow-powered tool often used for creating convincing deep fakes. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. Run face detection inside the 256x256 chips, but find a way to make sure that the landmarks are locked relative to the 256x256 box. 6 cudatoolkit=9. Clone this repository, run the docker-compose command and clear the. You can choose how deep you want to get into template customization, depending on your skill level. Github DeepfaceLab:Noss. 1 ANACONDA_DIST=Miniconda3 |15 ANACONDA_ARCH=x86_64 ANACONDA_CONDA=4. DeepFaceLab is a software that allows users to create deepfake videos. Products Product Overview Product Offerings Docker Desktop Docker Hub Features Container Runtime Developer Tools Docker App Kubernetes. In the previous article we went through some of the different approaches you can take to. 21 GB. Faceswap, at first glance, seemed like a safer bet. Key features include face replacement, de-aging, head replacement, and lip manipulation of politicians. Ex) counter strike, valorant, lol, 3dmark, video Even CUDA driv. This is my tenth try after checking updates and trimming the video as a last resort. 1","LABEL description="DeepFaceLab GPU Container"","","# $ docker. 6. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. Curate this topic Add this topic to your repo. Download DeepFaceLab for Windows now from Softonic: 100% safe and virus free. This is the only program that won't run. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". Once inside the container, as the default user anaconda, you can use the compiler to transcode using hardware acceleration. If you want a higher quality or better face match, you can train your own face model using DeepFaceLab. docker pull ahaha5485/deepfacelab:230805. Download DeepFaceLab latest versionGet started. CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. 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. Star 43. sh. Here 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. Note: The user running the docker container must be member of the group "docker". This function will check the. File "f:DeepFaceLabDeepFaceDeepFaceLab_NVIDIA. Where people create machine learning projects. md for more detailed instructions. Perhaps there are libraries out there for performing matrix multiplication on the GPU without CUDA, but I haven't heard of a deep learning. Compressed Size. To try something more ambitious, you can run an Ubuntu container with: $ docker run -it ubuntu bash Share images. Docker3) “ 3. TO DIRECTLY DOWNLOAD THE CONDA FILE conda: click ️ for Windows, Linux or Apple Intel w/o M1/M2 and then click the “…” and select Download. 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. The Best Deepfake Software and App at a Glance. mp4”, extract the images and saves them to the “data_dst” folder. Face Animator. machine-learning deep-neural. github","path":". Write better code with AI Code review. sh to get DeepFaceLab, create virtual env and install necessary Python dependencies. 0とは. DeepFaceLab_NVIDIA workspace, where videos and frames from video in image format are located. During handling of the above exception, another exception occurred: File "multiprocessingspawn. Among a myriad of new innovations in the VFX and ML research communities, some are attempting to break through the ‘hard limits’ of the popular deepfake packages by extending the architecture so that a machine learning model can train on images as large as 1024×1024 pixels – double the current practical confines of. THIS IS NOT TECH SUPPORT FOR NEWBIE FAKERS POST ONLY ISSUES RELATED TO BUGS OR CODE Expected behavior I was trying to train the ai, but. DeepFaceLab split off from Faceswap in early 2019 and has fallen behind on features and capability. 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. DeepFaceLab. # fun tools. Q: Why CentOS? A: It's stable, close to RHEL and doesn't suffer the same fate as CoreOS. Two projects dominate open source deepfake generation, DeepFaceLab(DFL) and Faceswap. My 3080 dosent't work on dfl. Change your command to. No milestone. Windows 7,8,8. 强烈建议试一下，PyCharm可以用于生产环境，Jupyter lab用于测试环境，简直完美，美滋滋。找个服务器或者Docker安装centos7，再搭建好py3和nodejs环境，通过浏览器直接码代码，是不是很酷炫. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. Deepfake defense not only requires the research of detection but also requires the efforts of generation methods. Second, check to ensure that directory of ffmpeg is /usr/local/ffmpeg-nvidia by entering which ffmpeg into a shell. You should spend time studying the workflow and growing your skills. Where people create machine learning projects. 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。 To generate this message, Docker took the following steps: 1. The "--gpus all" makes all the gpus available on the host to be visible to the container. Have been attempting to extract data_dst faces. Facesets of FaceSwap or FakeApp are not compatible with this repo. jupyter","path. Documentation please! #13 opened on Jun 1, 2021 by seaniedan. The repository already includes a list of ready-to-use public face models, including Keanu Reeves and Mr. DeepFaceLab is an open-source deepfake software that works on Windows computers. I habe the lastest nvidia driver installed and DFL updated in August but it couldn't work. • SD（480P）からフルHD（1080P）または1080pから4Kに変換. The Docker daemon pulled the "hello-world" image from the Docker Hub. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. I personally don't like adding frameworks/structures that I don't. Instance Size GPU vCPUs Memory (GiB) GPU memory (GiB) g4dn. However, current deepfake methods suffer the effects of obscure workflow and poor performance. 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. Code Issues Pull requests react ai nextjs faceswap replicate sdxl Updated Oct 31, 2023. Saved searches Use saved searches to filter your results more quicklyDeepFaceLab's table of increase in training image size, compared to 1024px native training resolution. This example is for Archlinux. 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. TensorFlow is an open source platform. In the previous article we completed the pipeline for our Deep Fakes DIY solution. Code Issues Pull requests Blockchain Based Decentralized Blog Post application. bat files, do as shown below: All. All is working great (ffmpeg, sorting scripts) until I try to train : (deepf. Deepfakes combine existing images, video, or audio of a person in AI-powered deep learning software that allows for manipulating this information into new, fake pictures, videos, and audio recordings. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme. With Jupyter Notebooks server pre-installed, pull with:The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. ENV NVIDIA_REQUIRE_CUDA=cuda>=11. Learn how to choose the best method for you to install Docker Engine. Releases Tags. docker pull xychelsea/deepfacelab:latest-gpu. Capture a web page as it appears now for use as a trusted citation in the future. 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. nVidia-Docker: Access to the nVidia GPU on host machine from inside container. Features: . The result you get will be waiting for you in the “Workspace” folder with the name “result. io/ azurelysium / deepfacelab:latest. train (using whatever filetype you prefer). Last pushed a year ago by ahaha5485. Code Issues Pull requests Docker image for Stable Diffusion WebUI with ControlNet, After Detailer, Dreambooth, Deforum and roop extensions, as well as Kohya_ss and ComfyUI. imread () reads the image from the file and. FFmpeg is the leading multimedia framework, able. The repository already includes a list of ready-to-use public face models, including Keanu Reeves and Mr. Activity is a relative number indicating how actively a project is being developed. Star 43. Grayscale SAEHD model and mode for training deepfakes. Even tried replacing the kernel32. 4. Note: The user running the docker container must be member of the group "docker. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3. Code. First we need to head on over to Github and install one of DeepFaceLab’s Prebuilt Windows Releases. To begin double click on “5) data_dst faceset extract. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3. Compressed Size . examples. py"] The build is fine: Sending build context to Docker dae. Curate this topic Add this topic to your repo To. 6-jupyter. 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. Prerequisites (if you don’t have Docker installed already)# (1) Install Docker. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. Thanks for your time. 6. Actual behavior ERROR CODE: `Running trainer. With the Triton Server tool, Model Analyzer, you can characterize your models easily and efficiently, allowing you to maximize the performance of your hardware. 5. valador opened this issue on Feb 27 · 2 comments. DeepFaceLab can be used for a variety of applications, from entertainment and professional productions to custom implementations and deep learning research. 如果希望加快切脸速度，可以网上找一些专业提脸软件，速度能提升10倍左右。. 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. Curate this topic Add this topic to your repo. 0-rc. AFAIK the only app which supports whole head swapping is DeepfaceLab but it needs to be trained with lots of images and lacks a proper GUI. ; Arch linux. docker login. mp4 and data_dst. 0 cudnn=7. /4. SimSwap. No changes have been made to DeepFaceLab itself. deepfacelab-docker-multi Prepare system. I'm pretty sure that you will need CUDA to use the GPU, given you have included the tag tensorflow. XSegEditor , delete button now moves the face to _trash directory and…. jupyter","path. Code. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. DeepFaceLab is a deepfake software suite that can be used to create realistic face-swapping videos. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. 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. It is a leading software for creating deepfake content, widely used in the manipulation of faces in images and videos. DeepFakeLab is one of the first deepfake apps for Windows that appeared on the internet. github","contentType":"directory"},{"name":"converters","path":"converters. You can. . Type g i on any issue or pull request to go back to the issue listing page. You should spend time studying the workflow and growing your skills. 0-gpu-py3. 4. Now, you will need to install deepface and retina-face without dependencies, and then install the necessary packages manually (if any other packages. 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. 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. 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,. How to Make a DeepFake Video with DeepFaceLab 1. 4xlarge (with Ubuntu) instance on AWS hoping to use DeepFaceLab on it. in training…. I get this error: `Step 12/14 : RUN conda activate chemprop---> Running in 1210dba161cc. deep-learning faceswap neural-networks deepfake google-colab-notebook deepfacelab Updated May 1, 2023; Jupyter Notebook; ai-forever / ghost Star 883. Download deepfake software, DeepFaceLab pretrained models, celebrity facesets, and more! {"payload":{"allShortcutsEnabled":false,"fileTree":{"doc/windows":{"items":[{"name":"DroidCam_0. graphic design free. This Faceswap repo contains Docker build scripts for CPU and Nvidia backends. {"payload":{"allShortcutsEnabled":false,"fileTree":{"doc/windows":{"items":[{"name":"DroidCam_0. 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. Not sure if this helps or indicates there's a bottleneck somewhere besides the GPU. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading. (amd64) 3. • DeepFaceLab is the leading software for. 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. Based on original FaceSwap repo. DeepFaceLab is the leading software for creating deepfakes. bat”. png file for each frame will be created. DeepFaceLab in a Docker Container. This is done by using fillna () function. Developed by sf-editor1, this open-source deepfake system is leading in the market with over 95% of created deepfake videos alone. 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. Apache Maven. DockerThis repository has been archived by the owner on Nov 9, 2023. Provides an NVIDIA GPU-enabled container with DeepFaceLab pre-installed on an Anaconda and TensorFlow container xychelsea/tensorflow:latest-gpu. Code Issues Pull requests Just an app to use DeepFaceLab with a user interface. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"}],"totalCount":1. There are also dozens of image editing algorithms available in the mergence phase to generate satisfactory results. Disclaimer Before I begin, I must warn you that DeepFaceLab is just a tool and it is neither good nor bad. A skill in programs such as AfterEffects or Davince Resolve is also desirable. Step 7: Select Fast Mode, or Pro Mode. (by iperov) The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. Operating system and version: Windows, macOS, Linux. DeepFaceLab is the leading software for creating deepfakes. ashleykleynhans / stable-diffusion-docker Sponsor Star 132. 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. 4. Add a description, image, and links to the deepfacelab topic page so that developers can more easily learn about it. 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. DeepFaceLab is available for free and can be downloaded. 4 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450 deepface. 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. 04 w/ CUDA v9, CUDNN v7] # adapted from the official tensorflow docker builds. 4. Developed by sf-editor1, this open-source deepfake system is leading in the market with over 95% of created deepfake videos alone. It is now read-only. If you like this software, please consider a donation. In this article series, we're going to show how deep fakes work, and show how to implement them from scratch. The following settings work for the above environment. 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. Windows builds with all dependencies included are released regularly. The different file types do different things and you won't run them all for the same. See DeepFaceLab project for links to guides. mp4”. 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. 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. (1) Innovative tool that simplifies the process of swapping faces in videos. ashishlal opened this issue on May 28, 2021 · 15 comments. Deepfake defense not only requires the research of detection but also requires the efforts of generation methods. sh. 4xlarge 1 16 64 16 I successfully installed the nvidia-container-toolkit, and launched a. DeepFaceLab. DeepFaceLab is a popular GitHub repository owned by iperov. 12. 04 and you will have created an identical environment. • DVDや動画の映像を300％拡大. 接下来正式开始，先看看整备工作吧。 1. 4. Contribute to idorg/DeepFaceLab by creating an account on DagsHub. aspera-non-spernit / DeepFaceLab_Docker Star 4. It looks off, I shot the footage 50fps by accident instead of 25fps. Code Issues Pull requests deepfake deepfacelab Updated Dec 28, 2021. Phase II: Training. OS/ARCH. Loaded 0 packed faces from E:DEEP FAKESOFTWAREDeepFaceLabDeepFaceLab_NVIDIAworkspacedata_dstaligned Error: No training data provided. Using FFmpeg. These instructions are mostly suitable for testing purposes. # video editing. I. Where people create machine learning projects. 2. Currently, there's only one option available to install DeepFaceLab Linux. Reface: A deepfake app for instant face-swapping with celebrities and popular characters. Notifications. Save Page Now. Code Issues Pull requests Simple and fast histogramming in Python accelerated with OpenMP. Where people create machine learning projects. The repository already includes a list of ready-to-use public. Added Docker support. 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. Learn more about packages. 23, 2023. 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. DeepFaceLab is a popular open-source deepfake generating app that allows users to. You can control a static face picture using video or your own face from the camera. merge the same training module type. The next step is choosing the model you want to train. Recent commits have higher weight than older. 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. Part 1. 2) extract images from video data_dst FULL FPS. . You may need to restart your system after adding yourself to the docker group. sh script then ran docker with the. nVidia-Docker: Access to the nVidia GPU on host machine from inside container. 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. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. DeepFaceLab/TensorFlow GPU-enabled Docker Container. That is, you have cloned this repository before you start the installation. This pull request addresses an issue with recognizing NVIDIA drivers inside the container. Mentions. #5630. Will set up a Docker-ized environment for GPU-enabled sessions of DeepFaceLab functions. DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab. 0 deepfake software for Windows, Linux, and Google Colab. 3. 3 ANACONDA_CONTAINER=v0. Digest 创建DeepFaceLab的虚拟环境，并激活。 conda create -y -n deepfacelab python=3. Only the NVIDIA GeForce display driver needs to be installed. 1. jpg","path":"doc/windows/DroidCam_0. This tool is designed in such a way that. FFmpeg compiled inside an NVIDIA-enabled Docker Container Dockerfile 26 3 anaconda3-docker anaconda3-docker Public. Download DeepFaceLab for free. Fork 9. DeepFaceLab in a Docker Container. Using only a few photos, DeepFaceLab can generate a convincing. 0を記事としてアップしていましたが、2. Contributor. 这一步，其实有三个小步骤，分解视频，提取人脸，打包素材。. lxc exec deepfacelab -- su ubuntu. ENV NVIDIA_REQUIRE_CUDA=cuda>=11. This guide will show you where to download DeepFaceLab deepfake software, which build version you should choose, explain system requirements and optimizations, and. 接下来是重要的整理工作：. 4) “ 4) data. docker face-swap. DeepFaceLab is an open source research project, based on TensorFlow exploring the role of machine learning as a tool in the creative process. It’s a great option if you’re looking to get a deeper understanding of deepfakes and the technology behind them. Read DeepFaceLab's reviews on Futurepedia. 1","LABEL description=\"DeepFaceLab GPU Container\"","","# $ docker build --network=host -t xychelsea/deepfacelab:latest-gpu -f Dockerfile. There is a folder named ‘workspace’ that contains all training models, source videos, and the output. ENV NVIDIA_REQUIRE_CUDA=cuda>=11. 5, 3. 10. DeepFaceLab 2. Go back to Docker Hub Home. docker push repo/name:tag. DeepFaceLab의 코드는 2018년부터 open-source 형태로 공유되어 왔으며, defending deepfakes에도 큰 기여. The Docker client contacted the Docker daemon. commented. I launched an g4dn. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 Dockerfile 40 20 ffmpeg-docker ffmpeg-docker Public. conf. DeepFaceLabCUDA9. You can now access your container at any time with the following command. 1) Install and start/enable. This significantly facilitates the installation and update of packages, keeping the environment up-to-date and secure. /main. 3. linux/amd64. 2_data_src_sort. " GitHub is where people build 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. Solution: replace the video card. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; unsalted / docker-nheqminer-cuda Star 24. Code; Issues 5; Pull requests 0;. Face Swapper: Best deepfake maker online without reducing image quality. python macos numpy pypi cpp14. 3. 2SSE - for NVIDIA cards up to GTX1080 and any 64-bit CPU DLL load failed: Файл подкачки слишком мал для завершения операции. 2. jupyter","path. H64 is for less capable graphics cards, Avatar is for manipulating the facial expressions of a source video, and SAE is a combination of other models. 何度か作った. 561dfc82a985. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 Dockerfile 40 20 ffmpeg-docker ffmpeg-docker Public. 1) Install and start/enable Docker. 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). FFmpeg with NVIDIA/CUDA support. Some users report that this will cause a conflict in multi-GPU systems. If you use the tool independently or in conjuction with my Docker image, make sure it is for personal education only. There are multiple other options, but from my perspective these are the most relevant solutions. 8k. Run the detection phase and measure score until the landmark grid sits perfectly over the face across the entire footage - just like the video. 일부 고효율 component나 tool들이 도입되어 user. . 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.