DeepFaceLab VS avatarify

Compare DeepFaceLab vs avatarify and see what are their differences.

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DeepFaceLab avatarify
91 21
43,236 16,095
- -
4.4 4.6
6 months ago 24 days ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DeepFaceLab

Posts with mentions or reviews of DeepFaceLab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-30.

avatarify

Posts with mentions or reviews of avatarify. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-28.

What are some alternatives?

When comparing DeepFaceLab and avatarify you can also consider the following projects:

faceswap - Deepfakes Software For All

first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation

DeepFaceLive - Real-time face swap for PC streaming or video calls

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

lyrebird - 🦜 Simple and powerful voice changer for Linux, written with Python & GTK

Deep-Fakes

head2head - PyTorch implementation for Head2Head and Head2Head++. It can be used to fully transfer the head pose, facial expression and eye movements from a source video to a target identity.

fast-stable-diffusion - fast-stable-diffusion + DreamBooth

figaro - Real-time voice-changer for voice-chat, etc. Will support many different voice-filters and features in the future. 🎵

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

randomCNN-voice-transfer - Audio style transfer with shallow random parameters CNN.