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Photorealistic avatars for video-conferencing apps. Democratized.
Based on First Order Motion Model.
Open Avatarify is not affiliated with Avatarify Inc.
Q and now you drive a person that never existed. Every time you push the button – new avatar is sampled.You can run Avatarify in two modes: locally and remotely.
To run Avatarify locally you need a CUDA-enabled (NVIDIA) video card. Otherwise it will fallback to the central processor and run very slowly. These are performance metrics for some hardware:
You can also run Avatarify remotely on Google Colab (easy) or on a dedicated server with a GPU (harder). There are no special PC requirements for this mode, only a stable internet connection.
Of course, you also need a webcam!
Download model's weights from here or here or here [228 MB, md5sum 8a45a24037871c045fbb8a6a8aa95ebc]
Linux uses v4l2loopback to create virtual camera.
bash Miniconda3-latest-Linux-x86_64.shavatarify and install its dependencies (sudo privelege is required):git clone https://github.com/alievk/avatarify.git
cd avatarify
bash scripts/install.shvox-adv-cpk.pth.tar file in the avatarify directory (don't unpack it).We will use CamTwist to create virtual camera for Mac.
brew cask install miniconda.git:git clone https://github.com/alievk/avatarify.git
cd avatarify
bash scripts/install_mac.shThis guide is tested for Windows 10.
git clone https://github.com/alievk/avatarify.git
cd avatarify
scripts\install_windows.batvox-adv-cpk.pth.tar file in the avatarify directory (don't unpack it).run_windows.bat. If installation was successful, two windows "cam" and "avatarify" will appear. Leave these windows open for the next installation steps. Install and register only 1 virtual camera.OBS-Camera camera should be available in Zoom (or other videoconferencing software).The steps 10-11 are required only once during setup.
You can offload the heavy work to Google Colab or a server with a GPU and use your laptop just to communicate the video stream. The server and client software are native and dockerized available.
Docker images are only availabe on Linux.
avatarify and install its dependencies (v4l2loopback kernel module):git clone https://github.com/alievk/avatarify.git
cd avatarify
bash scripts/install_docker.shcd avatarify
docker build -t avatarify .Avatarify comes with a standard set of avatars of famous people, but you can extend this set simply copying your avatars into avatars folder.
Follow these advices for better visual quality:
Your web cam must be plugged-in.
Note: run your video-conferencing app only after Avatarify is started.
The run script will create virtual camera /dev/video9. You can change these settings in scripts/settings.sh.
You can use command v4l2-ctl --list-devices to list all devices in your system.
Run:
bash run.shIf you haven't installed a GPU add the --no-gpus flag. In order to use Docker add the --docker flag.
cam and avatarify windows will pop-up. The cam window is for controlling your face position and avatarify is for the avatar animation preview. Please follow these recommendations to drive your avatars.
Note: On Mac Avatarify runs only with Google Colab or a dedicated server with GPU.
Please find where you downloaded avatarify and substitute path /path/to/avatarify below.
Desktop+ and press Select.Settings section choose Confine to Application Window and select python (avatarify) from the drop-down menu.cam and avatarify windows will pop-up. The cam window is for controlling your face position and avatarify is for the avatar animation preview. Please follow these recommendations to drive your avatars.
cd C:\path\to\avatarify
run_windows.batOBS-Camera.cam and avatarify windows will pop-up. The cam window is for controlling your face position and avatarify is for the avatar animation preview. Please follow these recommendations to drive your avatars.
Note: To reduce video latency, in OBS Studio right click on the preview window and uncheck Enable Preview.
| Keys | Controls |
|---|---|
| 1-9 | These will immediately switch between the first 9 avatars. |
| Q | Turns on StyleGAN-generated avatar. Every time you push the button – new avatar is sampled. |
| 0 | Toggles avatar display on and off. |
| A/D | Previous/next avatar in folder. |
| W/S | Zoom camera in/out. |
| U/H/J/K | Translate camera. H - left, K - right, U - up, J - Down by 5 pixels. Add Shift to adjust by 1 pixel. |
| Shift-Z | Reset camera zoom and translation |
| Z/C | Adjust avatar target overlay opacity. |
| X | Reset reference frame. |
| F | Toggle reference frame search mode. |
| R | Mirror reference window. |
| T | Mirror output window. |
| L | Reload avatars. |
| I | Show FPS |
| O | Toggle face detection overlay. |
| ESC | Quit |
These are the main principles for driving your avatar:
Alternatively, you can hit 'F' for the software to attempt to find a better reference frame itself. This will slow down the framerate, but while this is happening, you can keep moving your head around: the preview window will flash green when it finds your facial pose is a closer match to the avatar than the one it is currently using. You will see two numbers displayed as well: the first number is how closely you are currently aligned to the avatar, and the second number is how closely the reference frame is aligned.
You want to get the first number as small as possible - around 10 is usually a good alignment. When you are done, press 'F' again to exit reference frame search mode.
You don't need to be exact, and some other configurations can yield better results still, but it's usually a good starting point.
Avatarify supports any video-conferencing app where video input source can be changed (Zoom, Skype, Hangouts, Slack, ...). Here are a few examples how to configure particular app to use Avatarify.
Go to Settings -> Audio & Video, choose avatarify (Linux), CamTwist (Mac) or OBS-Camera (Windows) camera.
Go to Settings -> Video and choose avatarify (Linux), CamTwist (Mac) or OBS-Camera (Windows) from Camera drop-down menu.
Go to your profile picture -> Settings -> Devices and choose avatarify (Linux), CamTwist (Mac) or OBS-Camera (Windows) from Camera drop-down menu.
Make 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.
To remove Avatarify and its related programs follow the instructions in the Wiki.
Our goal is to democratize photorealistic avatars for video-conferencing. To make the technology even more accessible, we have to tackle the following problems:
Please make pull requests if you have any improvements or bug-fixes.
Q: Do I need any knowledge of programming to run Avatarify?
A: Not really, but you need some beginner-level knowledge of the command line. For Windows we recorded a video tutorial, so it’ll be easy to install.
Q: Why does it work so slow on my Macbook?
A: 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.
Q: I don’t have a NVIDIA GPU, can I run it?
A: You still can run it without a NVIDIA GPU, but with drastically reduced performance (<1fps).
Q: I have an ATI GPU (e.g. Radeon). Why does it work so slow?
A: 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.
Q: How to add a new avatar?
A: It’s easy. All you need is to find a picture of your avatar and put it in the avatars folder. More.
Q: My avatar looks distorted.
A: You need to calibrate your face position. Please follow the tips or watch the video tutorial.
Q: Can I use a cloud GPU?
A: This is work in progress. See the relevant discussion.
Q: Avatarify crashed, what to do?
A: First, try to find your error in the troubleshooting section. If it is not there, try to find it in the issues. If you couldn’t find your issue there, please open a new one using the issue template.
Q: Can I use Avatarify for commercial purposes?
A: No. Avatarify and First Order Motion Model are licensed under Creative Commons Non-Commercial license, which prohibits commercial use.
Q: What video conferencing apps does Avatarify support?
A: Avatarify creates a virtual camera which can be plugged into any app where video input source can be changed (Zoom, Skype, Hangouts, Slack, ...).
Q: Where can I discuss Avatarify-related topics with the community?
A: We have Slack. Please join:
Please follow the Wiki page.
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