\n\n### Zoom\n\nGo to Settings -> Video and choose `avatarify` (Linux), `CamTwist` (Mac) or `OBS-Camera` (Windows) from Camera drop-down menu.\n\n

\n\n### Teams\n\nGo to your profile picture -> Settings -> Devices and choose `avatarify` (Linux), `CamTwist` (Mac) or `OBS-Camera` (Windows) from Camera drop-down menu.\n\n

\n\n### Slack\n\nMake a call, allow browser using cameras, click on Settings icon, choose `avatarify` (Linux), `CamTwist` (Mac) or `OBS-Camera` (Windows) in Video settings drop-down menu.\n\n

\n\n\n## Uninstall\nTo remove Avatarify and its related programs follow the [instructions](https://github.com/alievk/avatarify/wiki/Removing-Avatarify) in the Wiki.\n\n\n## Contribution\n\nOur goal is to democratize photorealistic avatars for video-conferencing. To make the technology even more accessible, we have to tackle the following problems:\n\n* ~~Add support for more platforms (Linux and Mac are already supported).~~\n* ~~Remote GPU support. This is a work in progress.~~\n* Porting to non-CUDA GPUs (Intel integrated GPUs, AMD GPUs, etc) and optimization. The goal is to run Avatarify real-time (at least 10FPS) on modern laptops.\n\nPlease make pull requests if you have any improvements or bug-fixes.\n\n\n## FAQ\n\nQ: **Do I need any knowledge of programming to run Avatarify?** \nA: Not really, but you need some beginner-level knowledge of the command line. For Windows we recorded a video [tutorial](https://www.youtube.com/watch?v=lym9ANVb120), so it’ll be easy to install.\n\nQ: **Why does it work so slow on my Macbook?** \nA: The model used in Avatarify requires a CUDA-enabled NVIDIA GPU to perform heavy computations. Macbooks don’t have such GPUs, and for processing use CPU, which has much less computing power to run Avatarify smoothly.\n\nQ: **I don’t have a NVIDIA GPU, can I run it?** \nA: You still can run it without a NVIDIA GPU, but with drastically reduced performance (<1fps).\n\nQ: **I have an ATI GPU (e.g. Radeon). Why does it work so slow?** \nA: To run the neural network Avatarify uses PyTorch library, which is optimized for CUDA. If PyTorch can’t find a CUDA-enabled GPU in your system it will fallback to CPU. The performance on the CPU will be much worse.\n\nQ: **How to add a new avatar?** \nA: It’s easy. All you need is to find a picture of your avatar and put it in the `avatars` folder. [More](https://github.com/alievk/avatarify#setup-avatars).\n\nQ: **My avatar looks distorted.** \nA: You need to calibrate your face position. Please follow the [tips](https://github.com/alievk/avatarify#driving-your-avatar) or watch the video [tutorial](https://youtu.be/lym9ANVb120?t=662).\n\nQ: **Can I use a cloud GPU?** \nA: This is work in progress. See the relevant [discussion](https://github.com/alievk/avatarify/issues/115).\n\nQ: **Avatarify crashed, what to do?** \nA: First, try to find your error in the [troubleshooting](https://github.com/alievk/avatarify#troubleshooting) section. If it is not there, try to find it in the [issues](https://github.com/alievk/avatarify/issues). If you couldn’t find your issue there, please open a new one using the issue template.\n\nQ: **Can I use Avatarify for commercial purposes?** \nA: No. Avatarify and First Order Motion Model are licensed under Creative Commons Non-Commercial license, which prohibits commercial use.\n\nQ: **What video conferencing apps does Avatarify support?** \nA: Avatarify creates a virtual camera which can be plugged into any app where video input source can be changed (Zoom, Skype, Hangouts, Slack, ...). \n\nQ: **Where can I discuss Avatarify-related topics with the community?** \nA: We have Slack. Please join: [

](https://join.slack.com/t/avatarify/shared_invite/zt-dyoqy8tc-~4U2ObQ6WoxuwSaWKKVOgg)\n\n\n## Troubleshooting\n\nPlease follow the [Wiki](https://github.com/alievk/avatarify/wiki/Troubleshooting) page.\n","has_starred","hub_user","immutable_tags_settings",{"_75":11,"_76":77},"enabled","rules",[78],".*","is_automated","permissions",{"_82":21,"_83":11,"_84":11},"read","write","admin","user","storage_size",2526838567,"orgData","recentTags",[91],{"_92":44,"_93":94,"_95":96,"_97":98,"_99":100,"_50":117,"_118":94,"_119":33,"_120":56,"_57":121,"_122":123,"_124":108,"_125":117,"_126":66,"_127":21},"content_type","creator",7350888,"full_size",2513753967,"id",139350000,"images",[101],{"_102":103,"_104":105,"_106":48,"_107":108,"_109":110,"_111":112,"_113":48,"_114":-5,"_115":96,"_63":66,"_116":-5},"architecture","amd64","digest","sha256:55c72f47a6cdcdc59c6daeb7a0432b5524bafbafe0c4f636f212e4dbc10aca45","features","last_pulled","2026-10-08T23:07:00.565052188Z","last_pushed","2021-02-28T07:48:45Z","os","linux","os_features","os_version","size","variant","2021-02-28T07:48:44.551751Z","last_updater","last_updater_username","media_type","latest","repository",11598078,"tag_last_pulled","tag_last_pushed","tag_status","v2","sbxKitMetadata","isPotentialSpam","isHubSbxKitsEnabled","showSbxLogoOverride","sbxTrademarkText","displaySecurityMetadata","tagAttestations","tagsHaveAttestations",[],"selectedTag","attestationsUrl","routes/_layout.r.$namespace.$reponame.tags",{"_38":141,"_148":149,"_135":158,"_159":11},{"_40":142,"_42":143,"_45":46,"_47":48,"_49":11,"_50":51,"_52":53,"_54":144,"_57":35,"_32":33,"_58":59,"_60":44,"_61":62,"_63":64,"_65":66,"_67":-5,"_68":62,"_69":70,"_71":11,"_72":33,"_73":145,"_79":11,"_80":147,"_85":33,"_86":87},[],[44],[56],{"_75":11,"_76":146},[78],{"_82":21,"_83":11,"_84":11},"tags",{"_150":64,"_151":-5,"_152":-5,"_153":154},"count","next","previous","results",[155],{"_92":44,"_93":94,"_95":96,"_97":98,"_99":156,"_50":117,"_118":94,"_119":33,"_120":56,"_57":121,"_122":123,"_124":108,"_125":117,"_126":66,"_127":21},[157],{"_102":103,"_104":105,"_106":48,"_107":108,"_109":110,"_111":112,"_113":48,"_114":-5,"_115":96,"_63":66,"_116":-5},[],"canDeleteTags","actionData","errors"]

denton35/avatarify

Tags for denton35/avatarify