I turned into a cute girl in realtime. Here's how

In the video, the creator demonstrates how to use the real-time face-swapping tool DeepFace Live to transform into a “cute girl,” providing a tutorial on installation, setup, and usage of the software. The tutorial covers system requirements, webcam input, advanced features for enhanced realism, and additional tools for voice modulation and streaming on platforms like Discord and Twitch.

In a recent video, the creator showcases a real-time face-swapping tool that allows users to transform their appearance into that of a “cute girl” using DeepFace Live. The video highlights the technology’s ability to maintain consistent facial features, even during actions like eating or pinching the face. Viewers are intrigued by this capability and request a tutorial, prompting the creator to explain the installation and usage of the software, which can work with various graphics cards and requires specific system settings.

The tutorial begins with the creator outlining the necessary system requirements for DeepFace Live, including RAM and storage space, and the need for Windows 10. The installation process is simplified, as the software comes in a single standalone file that automatically manages dependencies. Following the installation, users can access the interface where multiple settings for real-time face swapping are available. The creator emphasizes that while the software focuses on facial features, users will need to obtain wigs or other accessories to complete their desired look.

The video features a step-by-step guide on how to set up the real-time face-swapping process. The creator demonstrates how to use a webcam as the input source and explains the different nodes in the interface that process facial recognition and alignment. Various algorithms are available to enhance face detection and tracking, with the creator suggesting users stick with default settings for simplicity. The tutorial continues to explore the various nodes responsible for face swapping, including options for predefined faces or user-uploaded images.

Moving beyond basic face swapping, the creator discusses advanced features such as using Deep Face Models (DFM) that provide more realistic and coherent results by utilizing multiple images of a person. The creator also mentions resources for finding pre-trained DFM models shared by other users in Discord channels, which can significantly enhance the quality of the face swap. Additionally, users can animate a static photo in real time, although the effectiveness of this feature may vary with complex facial expressions.

Lastly, the video addresses additional concerns such as voice changing and streaming capabilities. The creator suggests using another tool called W Oata for real-time voice modulation to match the new appearance. To stream the transformed identity on platforms like Discord or Twitch, users are guided through the process of setting up OBS Studio to capture the output from DeepFace Live. The creator encourages viewers to share their intended uses for the technology, whether for fun or more mischievous purposes, while promising to keep exploring and sharing innovative AI tools in future content.