Unreal Engine Metahuman Deepfake Tutorial

JSFILMZ
27 Feb 202206:47

TLDRIn this tutorial, the creator discusses the recent viral trend of Metahuman deepfakes and explores the tools used for this technology. He reviews iprof's GitHub, highlighting DeepFace Lab and its new software, DeepFace Live, which enables real-time deepfaking. The tutorial guides viewers through installing and using the software, which currently offers seven pre-trained faces. The creator demonstrates applying deepfake technology to a Metahuman character in Maya, noting the limitations in close-up shots and the need for manual animation to achieve realism. He concludes by suggesting potential future advancements in facial animation tools and ponders the ethical considerations of using such technology.

Takeaways

  • 😀 The video discusses the recent viral trend of using Metahumans with deepfake technology.
  • 🔧 The tutorial introduces a tool called 'DeepFace Lab' created by a Russian developer, which now includes a 'DeepFace Live' for live streaming deepfakes.
  • ⚠️ A disclaimer is given about the potential ethical concerns regarding the use of data sets and faces within the software.
  • 💾 The software is available on GitHub, with instructions provided for downloading and installing the NVIDIA build.
  • 🎭 Currently, 'DeepFace Live' offers seven pre-trained faces, including celebrities like Elon Musk and Jim Carrey.
  • 🤖 The tutorial demonstrates how to use the software with a Metahuman character from Maya, showing the process from file upload to real-time facial animation.
  • 📊 The presenter uses YOLO version five for face detection and Google Face Mesh for face markers, leveraging the GPU for processing.
  • 📹 The video highlights the limitations of the technology, especially when it comes to close-up shots and achieving photorealistic facial animations.
  • 🚫 The presenter expresses skepticism about using the tool for Metahuman animations due to the difficulty in achieving realistic facial movements.
  • 😲 The technology's potential for pranks and entertainment is mentioned, suggesting uses like face-swapping during video calls.
  • 🔮 The presenter looks forward to future advancements in deep learning and machine learning that could improve facial animation realism.

Q & A

  • What is the main topic of the tutorial?

    -The tutorial is about using a tool called Deep Face Live to create deepfake videos with Metahumans.

  • Who created DeepFace Lab and what is the tutorial creator's opinion about it?

    -DeepFace Lab was created by a Russian guy named iprof. The tutorial creator is not sure about iprof's intentions regarding the use of data sets and faces, and advises users to be mindful when downloading the software.

  • How many pre-trained faces are available in Deep Face Live?

    -Deep Face Live currently has seven pre-trained faces available for use.

  • What are some of the pre-trained faces included in Deep Face Live?

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

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

    -The recommended way to install Deep Face Live is to download the release for Windows, extract it to the root of your drive, and then run the program.

  • What is the tutorial creator's view on using Deep Face Live for Metahuman animations?

    -The tutorial creator believes that while Deep Face Live is a cool technology, it is not very useful for Metahuman animations as it does not provide realistic facial animation and can lose fidelity in close-ups.

  • What are some alternative uses for Deep Face Live suggested by the tutorial creator?

    -The tutorial creator suggests using Deep Face Live for pranks during video calls, such as FaceTime or Zoom meetings, by using the pre-trained faces to fool people.

  • What are the limitations of using Deep Face Live for Metahuman animations according to the tutorial?

    -The limitations include the difficulty in achieving realistic facial animation and the loss of fidelity when zooming in on the Metahuman, resulting in a blurry appearance without details like pores or imperfections.

  • What does the tutorial creator hope for in the future regarding facial animation tools?

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

  • How does the tutorial creator describe the current state of deepfake technology in relation to Metahumans?

    -The tutorial creator describes the current deepfake technology as 'pretty cool' but not yet suitable for creating realistic Metahuman animations, suggesting that it's more of a novelty than a practical tool for animation.

Outlines

00:00

😲 Exploring Deepfake Technology with Meta Humans

The speaker discusses the resurgence of interest in deepfake technology due to viral videos featuring 'meta humans' and deepfakes. They provide an overview of a tool called 'Deep Face Live', available on iprof's GitHub, which enables real-time deepfaking during live streams. The speaker also expresses caution regarding the use of data sets and faces, advising viewers to be mindful when downloading such tools. The tutorial includes instructions on how to install and use Deep Face Live, highlighting its capabilities with pre-trained faces and the potential for creating convincing deepfakes. The speaker also touches on the limitations of the technology, particularly when it comes to close-up shots and the need for realistic facial animation.

05:00

🎭 The Limitations and Potential Uses of Deepfake Technology

In this paragraph, the speaker delves into the limitations of using deepfake technology for animating meta humans, noting that while the technology can create convincing still images, it falls short when it comes to animating facial expressions, especially in close-ups. They express a desire for future tools that can leverage deep learning to improve facial animation realism. The speaker also suggests alternative uses for deepfake technology, such as pranking friends and family during video calls by superimposing the user's face with a celebrity's, using the pre-trained faces available in the tool. The speaker concludes by inviting viewers to share their thoughts on the technology and expresses hope for advancements that could make deepfake more useful for animation and other applications.

Mindmap

Keywords

Deepfake

Deepfake refers to a technology that uses artificial intelligence to create realistic but fake images or videos of people, often used to manipulate or impersonate them. In the video, the creator discusses the use of deepfake technology with Metahumans, which involves applying pre-trained AI models to real-time video feeds to replace a person's face with a digital likeness. This is showcased as a tool that can be used for entertainment or practical jokes, but also raises ethical concerns about the use of such technology.

Metahuman

Metahumans are highly realistic digital humans created using advanced 3D modeling and animation software. They are often used in video games, movies, and other digital media. In the context of the video, Metahumans are combined with deepfake technology to create live, animated characters that mimic the facial expressions and movements of real people, as seen in the demonstration where a video of a Metahuman in Maya is used.

Deepface Lab

Deepface Lab is a software tool mentioned in the video that is used for creating deepfakes. It has been developed by a Russian programmer and includes a feature called Deepface Live, which allows for real-time deepfaking. The video explains that this software is used to pre-train faces, which can then be applied to live video streams, making it a central component in the tutorial for creating Metahuman deepfakes.

Pre-trained faces

Pre-trained faces in the context of the video refer to digital models of human faces that have been trained on a dataset to recognize and replicate human facial expressions and movements. The video mentions that Deepface Live comes with seven pre-trained faces, including those resembling celebrities like Elon Musk and Jim Carrey, which can be used directly without additional training.

Live stream

A live stream in the video refers to the real-time transmission of video content over the internet. The tutorial shows how to use deepfake technology to replace a live person's face with a Metahuman during a live stream, which has implications for both entertainment and potential misuse, such as impersonation or deception.

GPU

GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. In the video, the creator uses a GPU to process the deepfake technology in real-time, highlighting the importance of powerful hardware for running such resource-intensive applications.

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 for face detection in the deepfake process, identifying where the face is in the frame so that the deepfake software can accurately apply the Metahuman face onto it.

Google Face Mesh

Google Face Mesh is a technology used in the video for face landmarking, which involves detecting key points on a face to understand its structure and movement. This is crucial for the deepfake process to accurately map the Metahuman's facial expressions onto the live video feed.

Facial animation

Facial animation in the video refers to the process of creating realistic facial movements for digital characters. The creator discusses the challenges of achieving photorealistic facial animation with Metahumans, noting that while deepfake technology can replace a person's face, animating the eyes, mouth, and other facial features to look natural is still a complex task.

Photorealistic

Photorealistic in the context of the video means creating images or animations that closely resemble real-life photographs. The creator expresses a desire for tools that can achieve photorealistic facial animation, indicating that while deepfake technology can create convincing face replacements, there is still room for improvement in making the animations look truly lifelike.

Highlights

Introduction to the topic of deep fakes using Metahumans.

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

Explanation of the new software, DeepFace Live, for live deep faking.

Discussion on the current state of Metahumans in deep fakes and their virality.

Instructions on how to download and install DeepFace Live.

Availability of seven pre-trained faces in DeepFace Live.

Demonstration of using a pre-trained face in DeepFace Live.

Details on the settings for face detection and alignment in DeepFace Live.

Use of Google Face Mesh for face marker in the software.

Overview of the pre-trained models available in DeepFace Live.

Live demonstration of a Metahuman character with deep fake technology.

Challenges with deep fakes in close-ups and maintaining fidelity.

Opinion on the current limitations of deep fakes for Metahuman animations.

Potential future developments in deep learning for facial animation.

Alternative uses for deep fakes, such as pranks during video calls.

List of pre-trained faces available for use in pranks and entertainment.

Final thoughts on the current state of deep fake technology and its potential.

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