DeepFaceLab

Shaping the Future, Remolding Faces. DeepFaceLab—Bringing Every Frame to Life

What is DeepFaceLab?

DeepFaceLab is a leading software application focused on deepfake technology. Deepfakes are a type of synthetic media where one person's face or body is replaced with that of someone else using artificial neural networks. DeepFaceLab is widely used for creating deepfake videos and has become popular due to its high-quality output and the range of tools it provides for creating realistic video manipulations.

What does our studio do?

At ziyu398 Studio, we open the doors to innovation, leading you into the new realm of DeepFaceLab model training. As pioneers at the forefront of technology and creativity, we focus on the cutting-edge application of face-swapping technology, from transforming film and TV characters to digitally reviving historical figures, and to the brilliant presentation of creative advertisements. Our professional team guides you every step of the way, ensuring you can master and apply this technology to make each project stand out.

At ziyu398 Studio, you'll not only learn the basic theories and practical operations of DeepFaceLab but also gain a deep understanding of how to expand the boundaries of creativity and reshape possibilities through precise data training and advanced algorithms. Our course design, covering from beginner to advanced levels, aims to cultivate each student into an expert in this technology, allowing your creativity to be magnified and breaking through the limitations of traditional video production.

We train models such as SAEHD (Stylized Autoencoder High Definition) or Quick96. (Note: If your training subject is a celebrity or already has a dataset, there's no need to prepare a dataset. However, if not, we will need to collect dataset samples for training.) If you're looking for a studio to train DFM models, ziyu398 Studio is undoubtedly your best choice.

deepfacelab official project address:

https://github.com/iperov/DeepFaceLab

https://github.com/serengil/deepface

https://arxiv.org/abs/2005.05535