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Faceswap.dev is a free and open source multi-platform DeepfakesAI face-swapping software that allows users to replace human faces in videos or pictures. Deepfakes is a method of using deep learning technology to synthesize images, which can be used in entertainment, education, art and other fields.​

Faceswap.dev aims to provide users with an easy-to-use, efficient, and safe Deepfakes tool, and is also committed to improving users’ moral and legal awareness and preventing the abuse of AI face-changing technology.​
Faceswap.dev is developed and maintained by a group of volunteers who are interested in deepfakes technology and have different backgrounds and specialties. Faceswap.dev is based on Tensorflow, Keras and Python, and can run on Windows, macOS and Linux systems

faceswap

faceswap

Function introduction
1. Support a variety of models and options: Faceswap.dev supports a variety of different neural network models for face replacement, such as Original, Villain, Dfaker, IAE, etc. Each model has its own advantages and disadvantages and is suitable for different scenarios and needs. Users can choose the appropriate model and parameters according to their own preferences and goals, and adjust the training speed and quality.​

2. Support multiple input and output formats: Faceswap.dev supports multiple different input and output formats for face replacement, such as video, picture, GIF, etc. Users can select the input source from local files, network links or cameras, and can also save the output results as local files or play them directly.​

3. Support real-time preview and adjustment: Faceswap.dev supports real-time preview and adjustment functions, allowing users to see real-time effects during training or conversion, and can adjust parameters or switch models at any time to optimize results. This saves time and resources and improves user experience.​

4. Support data management and security: Faceswap.dev supports data management and security functions, allowing users to easily manage their own data sets, such as adding, deleting, editing, aligning, sorting, etc. At the same time, Faceswap.dev also pays attention to the privacy and security of users, will not upload or share user data or results, and will not add watermarks or logos to output results.

Resources:
Project Address
https://github.com/liafuzho/faceswap-doc-cn/blob/master/faceswap-guide-cn.md

Tutorial
https://zhuanlan.zhihu.com/p/514842335

maxisfiber faceswap

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