Welcome to DeepFacelab

DeepFaceLab - 中文网

目前应用最广泛、最专业的Ai换脸模型训练软件
Currently, the most widely used and professional Ai face swap model training software
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deepfacelab

教程&资讯 / tutorial&News

Step-by-step deepfake tutorials covering the various tools and settings.
分享DEEPFAKE各个工具的设置教程

下载 & Download

DeepFace related tools and models download
DeepFace相关工具及模型下载
DeepFaceLive

一款基于深度学习技术的实时换脸软件,由著名的深度伪造开发者Iperov开发。它旨在PC流媒体或视频通话中进行面部实时替换,利用先进的算法和模型,实现对摄像头输入或本地视频源中人脸图像的实时替换与美化,能够产生接近电影质量的面部合成效果,提供高保真的视觉体验‌。
A real-time face-swapping software based on deep learning technology, developed by the renowned deepfake developer Iperov. It is aimed at facial real-time replacement in PC streaming or video calls, utilizing advanced algorithms and models to achieve real-time replacement and beautification of face images from camera input or local video sources, capable of producing near-film-quality face synthesis effects, offering high-fidelity visual experiences.

DeepFaceLab

用于人脸合成和转换训练模型软件。基于深度学习技术,使用DeepFaceLab输入两个人的照片或视频,然后利用其强大的算法进行训练和处理,最终生成具有逼真效果的合成人脸视频。在影视制作、娱乐产业以及学术研究等领域得到了广泛的应用

For face synthesis and conversion software. Based on deep learning technology, using DeepFaceLab to input two photos or videos, then utilizing its powerful algorithms for training and processing, ultimately generating realistic synthetic face videos. It has been widely applied in film and television production, entertainment industry, and academic research fields.

DFM模型/DFM_Model

Albica Johns / Amber Song / Ava de Addario / Bryan Greynolds / David Kovalniy / Emily Winston / Ewon Spice / Irina Arty / lackie Chan / lesse Stat 320 / Joker / Keanu Reeves / Keanu Reeves 320 / Kim Jarrey / Liu Lice / Matilda Bobbie ….

训练素材DST/SRC/训练模型

Deepfacelab预训练模型(俗称底丹) 万能模型/通用模型等
Pre-trained models for DeepfaceLab Universal models/universal models etc.

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17.3+Kstars

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19Watching

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277 Forks

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200+ Reviews

5/5
"Deepfake defense not only requires the research of detection but also requires the efforts of generation methods. However, current deepfake methods suffer the effects of obscure workflow and poor performance. To solve this problem, we present DeepFaceLab, the current dominant deepfake framework for face-swapping. It provides the necessary tools as well as an easy-to-use way to conduct high-quality face-swapping. It also offers a flexible and loose coupling structure for people who need to strengthen their pipeline with other features without writing complicated boilerplate code. We detail the principles that drive the implementation of DeepFaceLab and introduce its pipeline, through which every aspect of the pipeline can be modified painlessly by users to achieve their customization purpose. It is noteworthy that DeepFaceLab could achieve cinema-quality results with high fidelity."
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Iperov
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