These will immediately switch between the first 9 avatars. Note: To reduce video latency, in OBS Studio right click on the preview window and uncheck Enable Preview. Please follow these recommendations to drive your avatars. The cam window is for controlling your face position and avatarify is for the avatar animation preview. It should automaitcally start streaming video from Avatarify to OBS-Camera.Ĭam and avatarify windows will pop-up. Clone avatarify-python and install its dependencies (v4l2loopback kernel module):.For using the gpu (hardly recommended): Install nvidia drivers and nvidia docker.Then run this step to make docker available for your user. Install Docker following the Documentation.Dockerĭocker images are only availabe on Linux. The server and client software are native and dockerized available. 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 steps 10-11 are required only once during setup. Now OBS-Camera camera should be available in Zoom (or other videoconferencing software).Check AutoStart, set Buffered Frames to 0 and press Start. In OBS Studio, go to Tools -> VirtualCam.Then select Edit -> Transform -> Fit to screen. In the appeared window, choose ": avatarify" in Window drop-down menu and press OK. In the Sources section, press on Add button ("+" sign), select Windows Capture and press OK.Choose Install and register only 1 virtual camera. Install OBS Studio for capturing Avatarify output.Leave these windows open for the next installation steps. If installation was successful, two windows "cam" and "avatarify" will appear. Download network weights and place file in the avatarify-python directory (don't unpack it).
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