Unreal Engine Metahuman Deepfake Tutorial

JSFILMZ
27 Feb 202206:47

TLDRIn this tutorial, the creator discusses the recent viral trend of using Metahumans with deepfake technology. They introduce 'DeepFace Live', a software that allows real-time deepfaking, and guide viewers through its installation and usage. The creator expresses concerns about the quality of facial animations, especially in close-ups, and shares their skepticism about its application in Metahuman animations. They suggest potential uses for fun, like pranks on video calls, and conclude by hoping for future tools that could enhance realistic facial animation using deep learning.

Takeaways

  • 😀 The video discusses the use of deepfake technology with Metahumans, which has recently gained popularity.
  • 🔧 The tutorial introduces a tool called DeepFace Lab, created by a Russian developer, which now includes a 'DeepFace Live' feature for real-time deepfaking.
  • ⚠️ A disclaimer is given about the potential ethical concerns when using the tool, especially regarding data sets and facial recognition.
  • 💾 The script provides a step-by-step guide on how to download and install DeepFace Lab and DeepFace Live.
  • 🎭 It mentions that the tool currently has seven pre-trained faces, including celebrities like Elon Musk and Jim Carrey, but users can also train their own faces.
  • 📹 The tutorial demonstrates how to use the tool with a Metahuman video file, showcasing the process of applying a pre-trained face to the character.
  • 🤔 The presenter expresses skepticism about the tool's effectiveness for creating realistic Metahuman animations, noting limitations in close-up shots and the need for manual animation of details like eye movement.
  • 🚫 The video points out that using an iPhone to drive the character might reveal the trick, indicating the technology is not yet ready for seamless integration.
  • 😲 Despite its limitations, the presenter finds the technology impressive and suggests potential uses, such as pranks during video calls.
  • 🔮 The tutorial ends with a call for future tools that could better assist with realistic facial animation using deep learning and machine learning techniques.

Q & A

  • What is the main topic of the video tutorial?

    -The main topic of the video tutorial is how to use a tool called Deep Face Live for creating deepfakes with Metahumans.

  • Who created DeepFace Lab and what is their nationality?

    -DeepFace Lab was created by a Russian guy named iprof.

  • What is the purpose of the disclaimer mentioned in the video?

    -The disclaimer is to caution viewers about the potential privacy and ethical concerns related to using data sets and faces in the software.

  • What is the name of the software that allows for live deepfaking?

    -The software that allows for live deepfaking is called Deep Face Live.

  • How many pre-trained faces are available in Deep Face Live according to the video?

    -There are seven pre-trained faces available in Deep Face Live.

  • What are some of the pre-trained faces mentioned in the video?

    -Some of the pre-trained faces mentioned include an actress, Elon Musk, and Jim Carrey.

  • What is the recommended way to install Deep Face Live as per the tutorial?

    -The recommended way to install Deep Face Live is to download the NVIDIA build and extract it to the root of your drive.

  • What is the role of the YOLO version five in the deepfaking process?

    -The YOLO version five is used as the face detector in the deepfaking process.

  • What is the opinion of the video creator about using deepfakes for Metahuman animations?

    -The video creator finds deepfakes for Metahuman animations to be of limited use currently due to the difficulty in achieving realistic facial animations and the loss of fidelity in close-ups.

  • What are some alternative uses for Deep Face Live suggested in the video?

    -Some alternative uses for Deep Face Live suggested in the video include pranking during video calls like FaceTime or Zoom meetings.

  • What is the video creator's hope for the future of facial animation technology?

    -The video creator hopes that in the future, there will be a tool that uses deep learning and machine learning to help with realistic facial animation for Metahumans.

Outlines

00:00

🎥 Deep Fakes and Meta Humans: Exploring the Technology

The video script discusses the resurgence of interest in deep fakes due to viral videos featuring meta humans. The speaker, who previously made deep fake tutorials, explains the use of a tool called Deep Face Live, created by iprof, a Russian developer known for DeepFaceLab. The speaker warns viewers to be cautious when downloading and using such tools due to potential privacy concerns. The script details the process of installing and using Deep Face Live, which allows real-time deep faking during live streams. It mentions the availability of seven pre-trained faces, including notable celebrities, and the option to train additional faces. The speaker also demonstrates how to use the tool with a video file of a metahuman, highlighting the need for high frame rates to maintain realism. However, the speaker expresses reservations about using the technology for metahuman animations due to the difficulty in achieving realistic facial movements and expressions.

05:00

😅 The Limitations and Potential Misuse of Deep Fakes

In the second paragraph, the speaker delves into the limitations of using deep fakes for animating meta humans, pointing out that while the technology can create realistic still images, it falls short when it comes to animating facial expressions, especially in close-ups. The speaker suggests that future tools leveraging deep learning and machine learning might overcome these challenges. Additionally, the script touches on the potential for misuse of such technology, such as pranking during video calls by superimposing one's face with a celebrity's. The speaker lists the pre-trained faces available, including those of well-known figures like Elon Musk, Jim Carrey, and Tom Cruise. While acknowledging the cool factor of the technology, the speaker reiterates their current lack of practical use for it in animation, and concludes by inviting viewers to share their thoughts on the technology's potential and ethical implications.

Mindmap

Keywords

💡Deepfake

Deepfake refers to the synthesis of realistic, but fake, images or videos by superimposing existing images and videos onto source images or videos using artificial intelligence. In the context of the video, deepfakes are used to replace a person's face with another using a tool called DeepFace Lab, which is particularly relevant in the video's discussion of Metahumans.

💡Metahuman

Metahumans are highly realistic digital humans created using Epic Games' Unreal Engine. They are designed to have realistic human-like features and movements. In the video, the creator discusses using deepfake technology to animate Metahumans, suggesting that while the technology can make them look real, achieving realistic facial animations remains challenging.

💡DeepFace Lab

DeepFace Lab is a tool mentioned in the video that is used to create deepfakes. It allows users to swap faces in videos with a high degree of realism. The video explains that the creator of DeepFace Lab has developed a new software called DeepFace Live, which is designed for live streaming deepfakes.

💡iprof

iprof is the username of a Russian developer mentioned in the video who created DeepFace Lab. The video script directs viewers to iprof's GitHub page to download the software necessary for creating deepfakes, indicating the role of this developer in providing tools for the deepfake community.

💡DeepFace Live

DeepFace Live is a software introduced in the video that enables real-time deepfake generation. It is an evolution of the traditional DeepFace Lab and is used to apply pre-trained faces onto live video streams, which is a significant advancement in the field of deepfake technology.

💡Pre-trained faces

In the context of the video, pre-trained faces refer to digital face models that have been trained using machine learning algorithms to be used in deepfake applications. The video mentions that DeepFace Live comes with seven pre-trained faces, including those of famous individuals like Elon Musk and Jim Carrey.

💡YOLO

YOLO, which stands for 'You Only Look Once,' is a state-of-the-art, real-time object detection system mentioned in the video. It is used in conjunction with DeepFace Live for face detection, which is a crucial step in the deepfake process to ensure the accuracy of the face swap.

💡GPU

GPU, or Graphics Processing Unit, is a type of processor that is used in the video for the computational tasks required to run deepfake software like DeepFace Lab and DeepFace Live. The video suggests using a GPU to achieve better performance and faster processing times for deepfake applications.

💡Facial animation

Facial animation refers to the process of creating realistic movements and expressions for digital characters' faces. The video discusses the challenges of achieving photorealistic facial animation with Metahumans, noting that while deepfake technology can make characters look real when still, animating them convincingly is more difficult.

💡Photorealistic

Photorealistic refers to the quality of an image or video that is so detailed and accurate that it resembles a photograph. In the video, the term is used to describe the goal of achieving highly realistic facial animations with deepfake technology, which is noted as being particularly challenging for Metahumans.

Highlights

Introduction to the topic of deepfakes using Metahumans.

Mention of the creator of DeepFaceLab, iprof, and a disclaimer about data usage.

Explanation of the new software, DeepFace Live, for live deepfaking.

Availability of pre-trained faces and the option to train custom faces.

Instructions on downloading and installing DeepFace Live for Windows.

Demonstration of the automatic process of DeepFace Lab with a pre-trained face.

Use of a Metahuman video file as a source for deepfaking.

Setting up the face detector, aligner, and marker for deepfaking.

Selection of pre-trained models for deepfaking.

Live demonstration of deepfaking a Metahuman character in real-time.

Discussion on the limitations of deepfaking for close-up shots.

Opinion on the current utility of deepfakes for Metahuman animations.

Anticipation for future tools that improve realistic facial animation.

Alternative uses for deepfaking technology, such as pranks during video calls.

List of pre-trained celebrity faces available for use in deepfaking.

Final thoughts on the potential and current limitations of deepfaking technology.