DeepFaceLab VS Deep-Fakes

Compare DeepFaceLab vs Deep-Fakes and see what are their differences.

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DeepFaceLab Deep-Fakes
91 1
43,236 109
- -
4.4 0.0
6 months ago about 3 years ago
Python
GNU General Public License v3.0 only -
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.

Deep-Fakes

Posts with mentions or reviews of Deep-Fakes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-01.

What are some alternatives?

When comparing DeepFaceLab and Deep-Fakes you can also consider the following projects:

faceswap - Deepfakes Software For All

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

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

iOS-VCAM - 苹果手机虚拟摄像头 iPhone virtual camera

avatarify - Avatars for Zoom, Skype and other video-conferencing apps.

Generative-AI - [TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era

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

fakeVideoForensics - Detect deep fakes videos

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

deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

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

Awesome-DeepFake-Learning - The approach I work on DeepFake.