6) train Quick96. Check Price on Amazon. 03 CUDA version: 11. . From the project directory, run 6. 64-bit operating system, x64-based processor. 0:00 / 43:57 In this video we will look at how to create a Deepfake using Deep Face Lab. We are aware of the potential ethical issues and have implemented measures to prevent the software from being used for inappropriate content, such as nudity. Seeing something unexpected? Take a look at the GitHub profile guide . . py train --training-data-src-dir workspacefaceA --training-data-dst-dir wor. 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. iperov has 6 repositories available. Plus, DirectX® 12 multi-threaded. Step 2: Training. We recently launched AMD ROCm™ 5. py. The best last-gen cheap AMD graphics card . The release of stability. 42. Psu: 650 watt corsair cxf650. Here, you can choose the latest release for the operating-system you are working with. GPU utalization stuck a 0% and progress dose not move. 90 GHz Installed RAM 16. Auto-Detect and Install Driver Updates for AMD Radeon™ Series Graphics and Ryzen™ Chipsets. 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。. CUDA Toolkit 11. 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 NVIDIA up to RTX 2080 TI build - for Nvidia GPUs that support CUDA, and are not from series 3000. It uses RAM and CPU. 1 conda activate deepfacelab clone DFL git. Once the window opens, select the GPU device and press “Enter”. Watch Tutorials. Can I Use DeepFaceLab for Commercial Purposes?DeepFaceLab code and required packages. Quad-slot RTX 4090 GPU design limits you up to 2x 4090 per workstation and water-cooling will allow you to get up to 4 x RTX 4090 in a single. The basic unit to start creating 3D graphics is the polygon. DeepFaceLabCUDA9. Command lined used (if not specified in steps to reproduce): main. Added remote GPU support for all platforms (based on mynameisfiber's solution). Introduction 2. . Unfortunately, there is no "make everything ok" button in DeepFaceLab. If you don’t have a GPU, use the CLSSE build. How to make deepfakes without a GPU graphics card! This step by step CPU only tutorial will help you create deepfakes in just a few hours! Start with DeepFac. 显卡主要分n卡（英伟达）和a卡（amd），一般来说是推荐n卡，n卡的支持会更好，使用场景更广泛。 在DeepFaceLab的历史版本中，曾经有支持A卡的opencl版本，中途放弃了对A卡的支持，2021终于有了支持A卡的DirectX12版本。Deepfake Tutorials. 2 and the latest one bundled in with Windows Update. Graphics Card: Nvidia Graphic Card with CC(Compute Capability)>3. . Python 3. There are (at least) three things required for GPU accelerated rendering under WSL: A recent release of WSL (which you clearly have): A WSL2 kernel with dxgkrnl support; Windows drivers for your GPU with support for. . AMD ROCm™ Documentation# Applies to Linux and Windows 2023-10-13. Other relevant information. Pick the right sized virtual. 0 and MachineVideoEditor, including full-length tutorials and detailed breakdowns of each step. bat. 47. 2，则我可以安装CUDA Toolkit 9. Using a GPU. Discover how deepfakes work and the visual clues you can use to identify them. STEP 5: GRAND FINAL! 8) merged to mp4. 92 (dated March 16, 2021) for the Desktop RTX 3060 and version 461. I prepared the same clip on both machines, and I hit ENTER at the exact time on each to start the extraction process. 8 (I did not install Python, it was either already installed on the computer or came with DFL) CPU Intel (R) Iris (R) Xe Graphics. CPU: AMD Ryzen Threadripper 2990WX 32-Core Processor RAM: 128 GB GPU: NVIDIA GeForce RTX 2080 Ti SSD: GIGABYTE GP-AG42TB (2TB) (GPU i'm going to upgrade to 2x NVIDIA GeForce RTX 3090) Thanks in advance for the help. Fork 9. The AMD Radeon™ RX 7800 XT graphics card is the ultimate 1440p card, with 16GB to jump into 4K, featuring next generation technologies. Not sure what to do now. 26 [stable] Kubernetes includes stable support for managing AMD and NVIDIA GPUs (graphical processing units) across different nodes in your cluster, using device plugins. The training did worked, the loss was decreasing, but when I pressed "Enter", the training didn`t stopped and nothing is saved the output was below: python main. Freedom to Choose. 3. Running on the optimized model with Microsoft Olive, the AMD Radeon RX 7900 XTX delivers18. 41. Performance per watt, especially if you live in a hot country. With that said, it is a Windows application and hence requires a great computational power CPU as well as GPU. Latitude. The DeepFaceLab Direct X 12 build can be used with AMD, Intel, and NVIDIA devices with Direct X 12 running on Windows 10. Default AMD OC settings, same issue. Describe the SAEHD model using SAEHD model template from rules thread. DeepFaceLab 1. DLSS samples multiple lower resolution images and uses motion data and feedback from prior frames to reconstruct native quality images. Now, Deepfacelab only runs on my CPU which is unacceptably slower. rmtree (output_directory) except: pass bye all data. DirectX is much slower than CUDA so NVIDIA owners should use the 2080 or 3000 series builds if possible. Update your GPU driver to the latest version, My card driver was last updated in 2017, the latest version of GPU are available on the Nvidia website, previous versions of GPU did not support Cuda, the latest versions does which is required to run the python package. Modes 2/3 place work on the gpu and system memory as well. Open the Emulator for the initial setup. GeForce GTX 1050ti GPU with 4gb vram. 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. bat”. My CPU is AMD A10 9620P RADEON R5 10 COMPUTE CORES 4C+6G 2. The program can exchange faces in live videos after appropriate training or with supplied pre-trained AI models. 可以看到workspacedata_srcaligned目录下是data_src视频的脸部图片。. com)是国内知名的视频弹幕网站，这里有及时的动漫新番，活跃的ACG氛围，有创意的Up主。. You switched accounts on another tab or window. Example: # export LC_ALL=C. py", line 1, in Traceback (most recent call last):. , commonly abbreviated as AMD, is an American multinational semiconductor company based in Santa Clara, California, that develops computer processors and related technologies for business and consumer markets. AMD Radeon Graphics (rembrandt, LLVM 15. 8x higher than RTX 3090. Step-by-step with DeepFaceLab, we go through everything together. STEP 1 - DFL BASICS: DeepFaceLab 2. 直接下載該工具至您要更新的系統並執行。. 6. 3k; Star 41. Download any of the available face sets in a folder to create your first deepfake video. 6. 3. Prebuilt DeepFaceLab, including GPU and CPU versions, can be downloaded from . Driver options and tuning from the official drivers in windows. 0 consists of several . 点击运行. So, at $800, it's the better option. I highly recommend using Windows with an Nvidia graphics card, since DeepFaceLab works very well with CUDA (which is exclusive for Nvidia GPUs as far as I know). GitHub - iperov/DeepFaceLab: DeepFaceLab is the leading software for creating deepfakes. With infrastructure monitoring, modern operations teams get complete observability of complex and hybrid systems, from a datacenter to thousands of Amazon, Google Cloud, or Azure instances. This video takes you trough the entire process of using deepfacelab, to make a deepfake, for results in which you replace the entire head. DFL-Colab — DeepFaceLab fork for Google Colab. Please join via invitation link. Turning over to our ray tracing benchmarks, again sorted by the 1080p results — though this time the tests are demanding enough that the. Os Keyes, a Ph. Reload to refresh your session. ago. Join. 2. How can I run deepface on a gpu? or be sure that deepface is running on a. You will need FFMpeg, Git, and the most recent NVIDIA driver for your system to use this project. subscribers . 4. Just follow the tutorial. To download DeepFaceLab, scroll down until you reach “Releases”. Advanced Micro Devices, Inc. 0, OpenGL 4. #DeepFakes #Faceswap #DeepFaceLab #PlaidML The new updated Faceswap V2. This video tutorial will show you how to use DeepFaceLab using AMD Radeon GPU (RX 570). Reload to refresh your session. 8. 7-zen1-2-zen) 22230 Quadro K6000 22113 Quadro P2000 22069 AMD Radeon (TM) R7 370 Series 21876 ATI Radeon HD Pitcairn Unknown Prototype Compute Engine 21796 NVIDIA GeForce GTX 780 21741 AMD Radeon HD 7800 Series 21624 ATI Radeon HD Pitcairn XT Prototype. 2k. 0 - GPU Mining on Windows x64/Linux x64 are available NOW! 5 points • 15 comments. deepfacelab training. DFL 2. AMD (NASDAQ: AMD) today unveiled new graphics cards built on the next-generation high-performance, energy-efficient AMD RDNA™ 3 architecture – the AMD Radeon™ RX 7900 XTX and Radeon RX 7900 XT graphics cards. DeepFaceLab. Train model is working but it's not using my GPU now. initialize (device_config) File "C:UsersБогданDesktopDFLDeepFaceLab_NVIDIA_internalDeepFaceLabcor. Multi-GPU acceleration: This feature allows the software to utilize multiple graphics processing units (GPUs) for. Field explanations. This will be using the optimized model we created in section 3. DeepFaceLab is an open-source deepfake system that enables users to swap the faces on images and. NVIDIA H100 PCIe with NVLink GPU-to. 16 inch, QHD+ 16:10 (2560 x 1600, WQXGA), Refresh Rate:165Hz. Install the graphics card on the ESXi host. DeepFaceLab is the leading software for creating deepfakes. #DeepFakes #Faceswap #DeepFaceLab #PlaidML #AMD #Radeon #MachineLearningRevised step by step FaceSwap V2. This one is designed for keeping the researchers and students enrolled in computer vision. I've tried a lot of times to use the GPU but it just gets stuck. Operating system and version: Windows 11. With the Cuda package it includes Cuda 9 or 10 respectively so it basically. 1. Try FANSEG version if that's the. 그전에도 완성도가 되신다면 더 돌릴 필요는 없구요 다만 트레이닝이 오버하게 되면 수치가 더 올라가는 현상이 생길 수 있으니 이점도 유의해. Face Swapper: Best deepfake maker online without reducing image quality. Also, the 2060 goes at a nice,. Although command line display USES multiple gpus, there is only one gpu in the task manager. 8k; Star 43. The work built on AMD / Old NVIDIA / IntelHD cards. - Issues · iperov/DeepFaceLab. The following settings work for the above environment. I've been trying to run 6) train SAEHD. 比起直接 git pull 源代码，这种方式下载的内容开箱即用，不用配置环境、安装CUDA等了。. # Deepfake model training pipeline with AMD ROCm support ## Outline 1. - modern Nvidia or AMD GPU with 8GB of VRAM - plenty of storage space and large pagefile Make sure to enable Hardware-Accelerated GPU Scheduling under. DeepFaceLab does not have GUI but it does not require a high RAM (at least 2g). 80 GHz. IDKW but the GPU activity is not showing on the Windows task manager for AMD. If you uninstall drivers the card will still function, keep the nvidia gpu in whilst uninstalling then shutdown and make the swap 👍. 3D animation created in OctaneRender or in Redshift. deepfacelab硬件配置讲解： deepfacelab电脑硬件要求主要是显卡，推荐用NVIDIA的独立显卡，CPU硬盘内存无要求. Just tested it myself, it worked in regular roop but not in roop unleashed. click ️ for Apple w/M1/M2, and then click the “…” and Download. Kryptex GPU Network is a distributed cloud platform that utilizes the capacity of thousands of mining farms for your computations. DeepFaceLive. You signed in with another tab or window. HP Pavilion Gaming 15z with AMD Zen 3 Ryzen 5 5600H CPU and GeForce GTX 1650 graphics on sale for just $700 USD 04/30/2021 AMD determined to ramp up Radeon RX 6000 GPU production throughout 2021. Thank you bryanlyon! I'm building the new system from scratch so I'm aware of that complexity and special system reqirements for 3 GPUs. 1. Best Black Friday AMD graphics card deals ・XFX Radeon RX 6700 XT 12GB,$299. Edward Norton. Download and run directly onto the system you want to update. You will also want a good system for deepfaking especially a good gpu. 2, 21. User version 1 of the software, the OpenCL / AMD variant of version 1. 2) your video drivers are corrupt, re-install them from your PC/Laptop makers website. 2、CUDA Toolkit 9. Start trial arrow_forward. Step 3: Extracting Faces from the Frames. Click it, and you will see your result. 0 tutorial:Step by step FaceSwap Tutorial for deepfakes. I recently started playing around with deepfacelab. 0 Quick96 Tutorial Locked post. To see how the AMD Radeon 7900 XTX 24GB performs, we will be comparing it to the previous generation Radeon 6900 XT, as well as a range of NVIDIA GeForce RTX 30- and 40-series cards. You can. update gpu drivers and download fresh dfl version. I know that Deepfacelab has DirectX 12, but is it possible to use AMD GPU on Linux? I use Arch Linux BTW, but there shouldn't be much difference anyway between the modern distributions, i can install all dependencies myself if required. Resources - on the latest release we are still seeing CPU fluctuation between 50-100% spikes every 1-2 seconds. Same video "data_src_faceset_extract" that runs on all 4 GPU will take about ~1:45 hours so IMHO it is know to utilize all 4 GPU. You’ll see a lot of batch files and two sub-folders. Development. . Using latest prebuilt DX12 version of DeepFaceLab. 3. Not all graphics cards from NVIDIA have integrated support for GPU Computing. Code; Issues 541; Pull requests 7; Actions; Projects 0; Security; Insights Which graphics. You can control a static face picture using video or your own face from the camera. Iteration speed - very slow even when leaving the stock out of the gate settings. Deepfake defense not only requires the research of detection but also requires the efforts of generation methods. But the DX12 Version is using some parts of the GPU even when CPU is selected (e. Reload to refresh your session. Deletes all data in the workspace folder and rebuilds folder structure. - for modern AMD cards use "DeepFaceLab_DirectX12" build (may not work on some older AMD GPUs). *Captured at 3840 x 2160 resolution, highest game settings. Learn Face Replacement in Video using DeepFaceLab. Is it possible at all to run this project on this sepc? If so, the issues I have is at the training phase of running the batch files, (h64 for example) I get multiple of the following out of memory errors:SRC：根据各软件的脸图筛选规则和网上大神的建议，总体来说，SRC脸图最好是大概700~3999的数量，像Deepfacelab的作者，他就认为1500张够了。 对于SRC，各种角度、各种表情、各种光照下的内容越多越好，很接近的素材没有用，会增加训练负担。Whilst looking at graphics cards I noticed the A770 was cheaper and performed better than an RTX 3060. How to download and install DeepFaceLab 2. But I read a couple reviews saying that it doesn't work well with deep learning programs. But as you've written, you can just install the CPU version and. You switched accounts on another tab or window. As kundun has stated deepfacelab is popular as well as faceswap. 0 deepfake software for Windows, Linux, and Google Colab. 2 Likes. 8k. Download Celebrity Facesets for DeepFaceLab deepfakes. multi-GPU sup-port, half-precision training, usage of pinned CUDA mem-ory to improve throughput, use of multiple threads to ac-. For a 8gb card you can place on mode 3 and still most likely be able to do 160res fakes with small batch size. 267 mm. Operating system and version: Windows, macOS, Linux 8 GB DDR4 RAM WINDOWS 10 Enterprise N. Cpu: Amd ryzen 5600x. 1080p Gaming. Open source drivers on Linux. The Best Deepfake Software and App at a Glance. This includes AMD Radeon R5, R7, R9 200 and newer, Intel HD. Right-click the taskbar from the bottom of your screen and select "Task Manager" or press Ctrl+Shift+Esc to open the task manager. 50GHZ problem is coming not just in data_src extract faces S3FD all GPU but every other data_src extract (MT,S3FD) and all. Wayde Gilliam. Radeon RX 6400. 硬件篇1. 02 ~ 0. See our HELP WANTED post. AMP excels in following facial expressions, and SAE HD excels in expres. bat multiple times but no succes. 2 slots. - for modern AMD cards use "DeepFaceLab_DirectX12" build (may not work on some older AMD GPUs). Reload to refresh your session. CUDA Toolkit Major Component Versions. . 支持的技术. I've however only used deepfacelab since that was the first deepfake software to use but I hear faceswap has a more active community and dev team. Below are the specs of my PC: Intel Core i5-7400 @ 3. #2. The indispensable pipeline that it serves is easy-to-use even for users that have no. _internal 目录集成了环境、源码（DeepFaceLab目录）等. Specs: Mobo: msi b550 mag bazooka. The CPU can't do it, and besides the CPU and GPU, there are no other computing units in a deep learning workstation. So I am asking if it would work with deepfacelab because it does work on some. 4k. Higher performance GPU and larger RAM can produce higher quality. XSeg) train i get this error: Running trainer. 05 사이를 추천해드립니다 . The purpose of this blog is to give some background on this new feature and how we are introducing it. Other relevant information. 特性. Unfortunately I don't have a AMD card in my system so the installation could only be done for CPU/NVIDIA. Find the output file in the folder you chose. 接下来是重要的整理工作：. for 10 times cheaper than from AWS. 2018年9月25日是中秋节假后三天第1天上班，写点简单的新手指南恢复学习状态。. 45GHz, all-cores peak frequency of 3. Developed by sf-editor1, this open-source deepfake system is leading in the market with over 95% of created deepfake videos alone. CPU\硬盘\内存无要求软件篇系统选择支持WIN10,WIN7,LINUX，不支持mac（因为mac不支持NVIDIA显卡）显卡驱动显卡. bat" that runs on only ONE GPU0 will take about ~6 hours. AMD offers a great selection of graphics cards as well, with enough variety to please nearly every type of PC user. Download and run directly onto the system you want to update. g. Notifications. Check for and download the correct build of DeepFaceLab that’s compatible with your graphics processing unit (GPU). r/AMDHelp. 5, 3. Depending on the model, its TF32 training throughput is between 1. Using 2. I used the facesets that come with deepfacelab. • 2 yr. deepfacelab. 10After Effects 22. 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 NVIDIA GeForce RTX 3090 was originally designed for gaming, but its powerful graphic processing unit allows it to run deep learning applications more efficiently than other GPUs on the market. STEP 1 - DFL BASICS: DeepFaceLab 2. quotemycode. More than 95% of deepfake videos are created with DeepFaceLab. CUDA cuDNNのインストール手順. Demo. Install Anaconda. This Subreddit is community run and does not represent NVIDIA in any capacity unless specified. See this page. There are tons of options included, but most of them might be hard to understand for a general user. Don’t underestimate the Apple Silicon M1 Chip. 因為敝人能力不足，所以這次就使用在換臉屆鼎鼎大名的DeepFaceLab 開源進行這次的測試。. DeepFaceLab. 0 cudnn=7. PugetBench for After Effects 0. AMD’s GPU-drivers include the OpenCL-drivers for CPUs, APUs and GPUs, version 2. Although command line display USES multiple gpus, there is only one gpu in the task manager. This video is a step by step guide on how to deepfake using deepfacelabwith this method you will be able to deepfake any video on both cpu and gpu so pls con. 0. Mega or BitTorrent (magnet link inside). The SR-IOV specification defines a virtualized PCIE device. Enter a name of a new model : new_model new_modelBest GPU For Deep Learning. 此工具旨在偵測您的系統所安裝的 AMD 顯示卡型號與 Microsoft ® Windows ® 版本，然後提供下載選項並安裝與您的系統相容的最新官方 AMD 驅動程式套件。. . workspace. 这一步往往非常缓慢，请耐心等待（请保持足够的耐心）. PyTorch; BiSeNet; About. 80GHz 2. How to download and install DeepFaceLab 2. If you choese two GPUs (0,1), then large parts of the cache are rewritten, which takes a lot of time (>10 minutes). Both modes cause Python to crash. PySceneDetect for scene detection with a change to output scenes as text. Notes, tests, experience, tools, study and explanations of the source code. Accessing Performance Tuning Options. Go back one driver update run it see if it stops, and repeat to see if maybe going back up to 5 older drivers helps at all. It achieved a score of 33,948 in Geekbench 6's OpenCL graphics test, which is pretty high for an integrated GPU — higher than AMD's discrete RX 6400 as. Download DeepFaceLab. "train_Quick96". UTF-8 # ubuntu-drivers devices. That’s it. FSR support is not there yet and is nowhere near DLSS in terms of performance gains across all titles. 5 or above. In this instructive document, we will try to install deepfacelab with the drivers recommended for the graphics card. III. PNY NVIDIA GeForce RTX 4070 Ti XLR8 Gaming Verto Epic-X RGB Triple Fan 12GB GDDR6X PCIe 4. GPL code is handled as aggregate. To begin double click on “5) data_dst faceset extract. DeepFaceLab_DirectX12 Edition Windows 10 Pro Version 21H1 Installed on 1/02/2021. 显卡主要分N卡（英伟达）和A卡（AMD），一般来说是推荐N卡，N卡的支持会更好，使用场景更广泛。 在DeepFaceLab的历史. Let's take DeepFaceLab as example and check the steps to make a DeepFake video. Intel HD Graphics 5xx or newer. Supported hardware includes AMD Radeon R5, R7, and R9 200 series or newer, Intel HD Graphics 500 series or newer, and NVIDIA G-Force GTX 900 series or newer. 1) clear workspace. . 筆者はintel CPU,NVIDIA GPU環境なので、AMDについては記載しませんが対応しています。 ハード. To solve this problem, we present DeepFaceLab, the current dominant deepfake framework for face-swapping. OS: Windows 11 x64 DFL Version: DeepFaceLab_NVIDIA_RTX3000_series_build_11_20_2021 GPU: nVidia GeForce RTX 3090 FE CPU: AMD Ryzen Threadripper 3960x RAM: 32G After. DirectML is young tech. 最后说说操作系统 ，DFL支持windows和linux，这里主要针对windows来介绍，建议win10系统（win7也可以），非必要不要用win11，显存吃. Select the check box for the GPU, and reboot. We would like to show you a description here but the site won’t allow us. I don't have an AMD system, but my understanding from this devblog post is that it should work on your system. 4 min read time. I can suggest trying to go back a few older drivers at a time. Log in. #DeepFakes #Faceswap #DeepFaceLab #PlaidML #AMD #Radeon #MachineLearningRevised step by step FaceSwap V2. The major factors behind this growth include advancements in AI, easy accessibility of AI-based editing tools, and the increasing demand for personalized content. The NVv4-series virtual machines are powered by AMD Radeon Instinct MI25 GPUs and AMD EPYC 7V12 (Rome) CPUs with a base frequency of 2. Previously I was able to do this by turning on "Hardware Accelerated GPU Scheduling" however I recently updated my windows and after I did so that setting is gone. ·. Amd Rx580 (Cores:2304 TMUs: 144: ROPs:32)vs a GTX 1060-6gb (Cores: 1280 TMUs: 80 ROPs: 48) was the shocker to me. . Download and Install the file on your Windows or Mac PC. This version is no longer under development. Image scrappers bing, getty, google. Browse to the directory where you extracted the software. Sign upDeepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. Introduction. Saved searches Use saved searches to filter your results more quicklyTried using different AMD drivers. 4 GB usable)DeepFaceLab's table of increase in training image size, compared to 1024px native training resolution. 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. The DeepFaceLab Direct X 12 build can be used with AMD, Intel, and NVIDIA devices with Direct X 12 running on Windows 10. According to 360ResearchReports, the global Deepfake Software market size will exceed $348. iperov / DeepFaceLab Public. It has up to 10-Core CPU, 32-Core GPU, 16‑Core Neural Engine with 200GB/s memory bandwidth in one Chip. 学習時間がとんでもなく長くなります。. To access Performance Tuning options, follow the steps below: Right-click on the Desktop and select AMD Radeon Software. The creator of DeepFaceLab will also show DeepFaceLive for the first time in 2021. on face extraction) Other relevant information. The results of the commercial device might be different. 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。. If you agree to these terms, click Accept to continue. If I underclock my GPU, the program works some more time (Like 10min depending on the underclock) but eventually. AMD GPU #666. Unreal Engine 4. Ram: Corsair 3600 mhz cl16 8gb ram x2. Tips for better results:Cost approx $80usd for the GPU rental. CPU: Intel or AMD CPU recommended with RAM>8G. 红警对手看我坦克出门！. come talk about news, drivers, rumors, GPUs, the industry, show-off your build and more. Click to expand. Steps to reproduce. Run the "4) data_src faceset extract.