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

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19 Jul 202426:23

TLDRThis video tutorial demonstrates how to use DeepFaceLive to perform real-time face swapping, turning oneself into a cute girl or other characters. It covers installation, setup, and usage, including syncing facial expressions and streaming the output.

Takeaways

  • 😀 The video demonstrates how to use DeepFaceLive for real-time face swapping.
  • 🎥 The tool can be used with any DirectX12 compatible graphics card, not just RTX Cuda GPUs.
  • 💻 System requirements include at least 4 GB of RAM and 32 GB of hard drive space for the paging file.
  • 🔧 Installation involves setting virtual memory to 32 GB or more and downloading a standalone executable file.
  • 🖥️ The interface of DeepFaceLive consists of four columns for processing the video, starting with a file source or webcam input.
  • 👤 Face detection and alignment are crucial steps in the process, using algorithms to detect and map facial features.
  • 🔍 Different face marker algorithms are available, such as OpenCV LBF, Google Face Mesh, and Insight Face.
  • 🌐 Three main face swap methods are available: Face Swap Insight, Deep Face Model (DFM), and Face Animator.
  • 📸 Face Swap Insight uses a single photo for face swapping, while DFM uses a trained model for more realistic results.
  • 🎭 Face Animator animates a single photo based on the user's facial expressions in real time.
  • 📹 The final output can be streamed in real-time using OBS Studio, allowing for live applications like streaming on Discord or Zoom.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is a tutorial on how to use a tool called DeepFaceLive to perform real-time face swapping, turning oneself into a different person or character.

  • What is the tool used in the video to achieve real-time face swapping?

    -The tool used in the video is DeepFaceLive, which is capable of real-time face swapping and can sync facial expressions and movements.

  • What are the system requirements for running DeepFaceLive?

    -The system requirements for running DeepFaceLive include at least 4 GB of RAM, 32 GB of hard drive space for the paging file, and a DirectX12 compatible graphics card. It is compatible with Windows 10 and can work with older generations of RTX GPUs or AMD GPUs.

  • How does one install DeepFaceLive?

    -DeepFaceLive can be installed by downloading the standalone zero dependency file from the GitHub page, double-clicking the file to run it, and following the prompts to extract and install all necessary functions and dependencies.

  • What are the different face swapping methods available in DeepFaceLive?

    -DeepFaceLive offers three different face swapping methods: Face Swap Insight, which uses a single photo; Deep Face Model (DFM), which uses a trained AI model for more realistic and coherent face swapping; and Face Animator, which animates a single photo based on the user's facial expressions.

  • How can one use DeepFaceLive to stream on platforms like Discord or Zoom?

    -To stream using DeepFaceLive, one needs to have OBS Studio installed. The user can add a new source in OBS, select window capture, and choose the DeepFaceLive output window. This allows the user to stream the face-swapped video in real-time on platforms like Discord or Zoom.

  • What is the role of the 'face detector' in the DeepFaceLive process?

    -The 'face detector' in DeepFaceLive is responsible for detecting and locating faces in the source input. It uses an algorithm to identify the dimensions and features of the face, which is crucial for accurate face swapping.

  • How does the 'face marker' in DeepFaceLive work?

    -The 'face marker' in DeepFaceLive detects and marks facial features such as eyes, nose, mouth, and jawline. This process is essential for aligning the face swap with the user's face and ensuring that facial expressions and movements are accurately tracked.

  • What additional tool can be used to change the voice in real-time along with face swapping?

    -An additional tool called 'Woat' can be used to change the voice in real-time. This tool can be installed and used in sync with DeepFaceLive to change the user's voice to match the face-swapped character.

  • What are some potential ethical concerns with using DeepFaceLive for activities like catfishing or scamming?

    -While DeepFaceLive is a powerful tool for real-time face swapping, it raises ethical concerns when used for deceptive purposes such as catfishing or scamming. It is important to consider the potential harm and misuse of such technology.

Outlines

00:00

😲 Real-Time Face Swapping Tutorial Introduction

The video script begins with the host discussing a previous video featuring a real-time face transformation of a man into a cute girl. The host promises to deliver a tutorial on how to achieve this effect using a face-swapping tool. The video will cover the installation process, demonstrate the tool's capabilities, and show how to sync facial expressions in real-time. The host also mentions the possibility of using any face, including celebrities, for the transformation.

05:02

🔧 Setting Up Real-Time Face Swapping Software

The host provides a step-by-step guide on setting up the face-swapping software, starting from accessing the GitHub page and checking system requirements. The audience is informed about the compatibility with various graphics cards and the minimum system specifications needed. The instructions include updating graphics drivers, setting virtual memory to 32 GB, and downloading the software. The host demonstrates the extraction and installation process of the software, emphasizing the ease of use with a standalone, zero-dependency file.

10:05

🖥️ Configuring DeepFaceLive for Real-Time Use

The host explains how to configure DeepFaceLive, detailing the interface's nodes and their functions. The process involves selecting the input source, choosing face detection algorithms, and aligning the face for accurate tracking. The host also discusses the use of different face marker algorithms to identify key facial points, which is crucial for the face-swapping process. The explanation includes how to adjust settings for optimal results and the option to use either CPU or GPU for processing.

15:08

🔄 Exploring Face Swapping Methods in DeepFaceLive

The host delves into the different face swapping methods available in DeepFaceLive, starting with the face swap Insight method. This method uses a single image to swap faces in real-time, which the host demonstrates with various celebrity images. The host also introduces the deep face model (DFM), which uses AI-trained models for more realistic and coherent face swapping. The tutorial includes instructions on how to load and use pre-trained models or find shared models online.

20:10

🎨 Customizing and Animating Faces with DeepFaceLive

The host showcases the face animator feature in DeepFaceLive, which animates a single face image based on the user's facial expressions in real-time. The demonstration includes trying out different expressions and comparing the results with various face images. The host points out the limitations of the face animator, especially with complex expressions, and suggests an alternative tool for more flexibility.

25:11

📹 Streaming and Voice Changing with DeepFaceLive

The host addresses how to stream the face-swapped video in real-time using OBS Studio and provides instructions for setting up the stream. The tutorial also mentions the use of a real-time voice changer tool to synchronize the voice with the animated face. The host encourages viewers to share their intended use for the face-swapping technology and invites feedback and questions in the comments section.

🌐 Final Thoughts and Community Engagement

In the concluding part of the script, the host wraps up the tutorial and invites viewers to share their experiences and plans for using the face-swapping technology. The host also promotes a website for AI tools and job opportunities in the AI field and encourages viewers to like, share, subscribe, and stay tuned for more content.

Mindmap

Keywords

💡Real-time face swap

Real-time face swap refers to a technology that allows a person's face to be replaced with another face in real-time. In the video, the host demonstrates how to use a tool to swap their face with a cute girl's face in real-time, which is a central theme of the tutorial. The technology is showcased by the host pinching their face, eating, and talking, with the swapped face remaining consistent.

💡Deep Face Live

Deep Face Live is the software tool used in the video to perform real-time face swapping. It is mentioned as a key component in the process, allowing users to upload a single photo of a face and sync it to their own in real-time. The script explains that this tool is user-friendly, with a standalone file that can be double-clicked to install and run.

💡Face detector

A face detector is an algorithm that identifies and locates faces in the source input. In the context of the video, it is used as part of the Deep Face Live software to detect the host's face and prepare it for face swapping. The script mentions that there are several algorithms to choose from, each with subtle differences in how they detect faces.

💡Face alignment

Face alignment is the process of adjusting the detected face to a standard position and scale. This is crucial for ensuring that the face swap aligns accurately with the user's face movements. The video script describes how the face alignment can be adjusted in the Deep Face Live interface to cover more or less of the face, depending on the user's needs.

💡Face marker

A face marker is responsible for detecting and marking facial features such as eyes, nose, mouth, and jawline. This is important for aligning the face swap with the user's face and tracking facial expressions and movements. The script explains that there are different types of face marker algorithms available in Deep Face Live, including OpenCV LBF, Google Face Mesh, and Insight Face.

💡Face swap Insight

Face swap Insight is a feature within Deep Face Live that uses a single still image of a face to perform the face swap. The script demonstrates how the host can upload an image of a girl's face and have it swapped onto their own in real-time. This method is contrasted with other methods that use more complex models for a more realistic result.

💡Deep face model

A deep face model is a more advanced method of face swapping that uses a trained AI model to create a very realistic and coherent face. The video script explains that these models are trained by feeding an AI with numerous images of a person at various angles and expressions. The host demonstrates how to use a pre-trained model of Jackie Chan and G Su from Black Pink, showing the higher level of realism compared to a single image swap.

💡Face animator

The face animator is a feature in Deep Face Live that animates a single input photo based on the user's facial expressions. Unlike face swapping, this method does not replace the user's face but animates the uploaded image in real-time. The script shows examples of animating images of Kim Jong-un and Biden, highlighting the tool's ability to handle regular talking but not more complex expressions.

💡OBS Studio

OBS Studio is a free tool for recording the screen and customizing different outputs. In the video, it is used to capture the output from Deep Face Live and stream it in real-time. The script provides instructions on how to set up OBS Studio to capture the face-swapped video, allowing users to stream their transformed appearance on platforms like Twitch or Discord.

💡Woat

Woat is a real-time voice changer tool mentioned in the video. It is used in conjunction with Deep Face Live to change the user's voice to match the face they are impersonating. The script suggests that using both tools simultaneously can increase computational load and delay, but it is a way to fully impersonate another person in real-time.

Highlights

The video demonstrates a real-time face swapping technique where the presenter's face is transformed into a cute girl.

The face swapping effect remains consistent even when the presenter pinches their face or eats food.

The tutorial explains how to install and run the face swapping tool, DeepFaceLive.

DeepFaceLive can be used with any DirectX12 compatible graphics card, not just RTX Cuda GPUs.

System requirements include at least 4 GB of RAM and 32 GB of hard drive space for the paging file.

The presenter uses a Dell Precision 5690 with an RTX 5000 Ada GPU, sponsored by Dell and Nvidia.

DeepFaceLive installation involves setting virtual memory to 32 GB or more on Windows.

The software is a standalone, zero dependency file that automatically installs all necessary functions and dependencies.

The interface of DeepFaceLive consists of four columns for processing the video from webcam input to output.

The face detector node locates faces in the source input using various algorithms.

The align face node adjusts the detected face to a standard position and scale.

The face marker node detects and marks facial features for accurate face swap alignment.

Three main face swap methods are available: Face Swap Insight, Deep Face Model (DFM), and Face Animator.

Face Swap Insight uses a single photo to swap faces in real time.

Deep Face Model requires a trained AI model for more realistic and coherent face swapping.

Face Animator animates a single input photo based on the user's facial expressions in real time.

The frame adjuster node pre-processes video frames for optimal face swapping.

The face merger node is responsible for the actual face swapping process.

The output video can be displayed in a window or streamed using OBS Studio.

The tutorial also mentions a real-time voice changer tool called WOATA for changing voice in sync with face swapping.

The presenter encourages viewers to share their intended use for the face swapping tool in the comments.

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