Deep-Fakes VS DeepFaceLab

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

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Deep-Fakes DeepFaceLab
1 91
109 43,236
- -
0.0 4.4
about 3 years ago 6 months 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.

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.

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.

What are some alternatives?

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

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

faceswap - Deepfakes Software For All

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

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

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

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

fakeVideoForensics - Detect deep fakes videos

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

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

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

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

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