NEW Best Face Swapper. VIDEO + IMAGES

Sebastian Kamph
28 Nov 202313:59

TLDRIn this informative video, the presenter demonstrates how to use Face Fusion 2.0, a powerful tool capable of swapping faces in both images and videos. The guide walks viewers through the installation process, including setting up a virtual environment and choosing the appropriate execution provider based on their hardware. The presenter also covers the Gold Edition, which offers additional features and models for enhanced face swapping. The video showcases the tool's capabilities, such as changing faces in a group photo or video, adjusting face detection settings, and using the face debugger to fine-tune the swapping process. The presenter emphasizes the importance of selecting the right model and settings for the desired output quality and provides tips for optimizing results, such as using the face enhancer to improve the final appearance. The video concludes with a reminder to use the technology responsibly.

Takeaways

  • 🎬 The video demonstrates how to use Face Fusion 2.0 to swap faces in both images and videos.
  • 🔍 The process involves using a detailed text guide and pictures available to Patreon subscribers.
  • 💻 It requires cloning the Face Fusion repository and setting up a virtual environment.
  • 🖥️ Users can choose their preferred settings based on their GPU, such as Nvidia CUDA or AMD, or use the CPU.
  • 📥 The Gold Edition of Face Fusion offers additional features and requires a simple plugin patch for installation.
  • 📂 Changing the output path is recommended for better organization of the results.
  • 🖼️ The face to be swapped is loaded first, followed by the target face which is the person whose face will be replaced.
  • 🤖 The quality of the face swap depends on the selected model, with options like Ghost Model available only with the Gold package.
  • 📊 Users can adjust the face detector model and score to control the detection of faces in an image.
  • ⚙️ Settings such as face mask padding and blur can be fine-tuned for a better swap result.
  • 📹 Face Fusion can also work with videos, offering options to trim frames and use a face debugger for precise adjustments.
  • 🌐 A Gold Edition feature allows targeting a URL for video downloads without the need to download the video first.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is how to use a tool called Face Fusion 2.0 to swap faces in both images and videos.

  • What is the first step in using Face Fusion according to the guide?

    -The first step is to open a command window and clone the Face Fusion repository.

  • What is the purpose of the joke mentioned in the transcript?

    -The joke serves as a light-hearted introduction to the video, although it does not have a direct relevance to the technical content of face swapping.

  • What are the system requirements for running Face Fusion?

    -The system requirements include having a supported graphics card from NVIDIA or AMD, or the option to use CPU if other prerequisites are not met. Additionally, having the necessary drivers and possibly the Gold Edition install package can enhance the functionality.

  • How does one install the Gold Edition of Face Fusion?

    -To install the Gold Edition, one must have the Gold package installer, open it, and then drag and drop the necessary files into the Face Fusion directory. Afterward, activate the virtual environment and run the command 'python gold_pi' to install the Gold package.

  • What is the role of the 'face debugger' feature in Face Fusion?

    -The 'face debugger' feature allows users to see a box and dots for the eyes, nose, and mouth on the preview frame. This helps users to adjust the face mask padding and blur to achieve a better face swap result.

  • How can one change the output path for the results in Face Fusion?

    -One can change the output path by specifying a new folder, such as a 'face Fusion' folder, and creating an output folder within it for saving the results.

  • What are the different face swap models available in Face Fusion?

    -The different face swap models include the Ghost model (available with the Gold package), the INS Swapper (by Inside Phase for educational use only), The Sims Swap, and the Same Swap, which comes in various resolutions like 128, 256, and 512.

  • How can one enhance the quality of the swapped face in a video?

    -One can use the face enhancer feature, such as GFP GAN 1.4, and adjust the percentage to smooth out the face. A higher value results in a smoother face but less consistency with the source, while a lower value maintains more consistency with potential artifacts.

  • What is the maximum amount of memory that can be allocated for processing a video in Face Fusion?

    -The maximum amount of memory that can be allocated for processing a video depends on the system's available RAM. In the transcript, the user has 64 GB of RAM and can set the memory allocation quite high.

  • How does targeting a URL for video swapping work in the Gold Edition of Face Fusion?

    -With the Gold Edition, users can target a URL for video swapping without having to download the video first. The software will download and process the video, allowing users to swap faces directly from the URL.

  • What is the final advice given by the presenter regarding the use of Face Fusion?

    -The presenter advises to use Face Fusion responsibly, implying that users should be mindful of ethical considerations and legal rights when swapping faces in images or videos.

Outlines

00:00

😀 Introduction to Face Fusion 2.0 and Installation Process

The video begins with the presenter introducing the topic of swapping faces in both images and videos using Face Fusion 2.0. They mention a joke to engage the audience and explain that they will be using a detailed text guide available on Patreon. The presenter walks viewers through the installation process, which includes opening a command window, cloning the Face Fusion repository, and setting up a virtual environment. They also discuss the choice between different hardware options (Nvidia, AMD, or CPU) and the installation of the Cura toolkit and necessary drivers. The video provides instructions for running Face Fusion and the Gold Edition, emphasizing the new features available in the Gold Edition.

05:00

📸 Using Face Fusion for Face Swapping in Images

The presenter demonstrates how to use Face Fusion to swap faces in images. They guide viewers on changing the output path for saving results, loading a face for swapping, and selecting the target face in the image. The video covers the use of different face swap models, such as the ghost model exclusive to the Gold Edition, and the ins swapper model available for educational use. The presenter also discusses the importance of selecting the right model based on the desired output quality. They touch on the execution providers, suggesting the use of Cuda for better performance if available. The video concludes with a demonstration of how to start the rendering process and finalize the face-swapped image.

10:02

🎥 Advanced Usage of Face Fusion for Face Swapping in Videos

The video continues with an advanced tutorial on swapping faces in videos using Face Fusion. The presenter shows how to adjust the face mask padding and blur to improve the quality of the swapped face, mentioning the use of the face enhancer tool to refine the result. They discuss the settings for memory usage and thread count, which can affect the rendering speed and quality. The presenter also demonstrates the face debugger tool, which helps with aligning and adjusting the swapped face. They show how to render a video with swapped faces and mention the Gold Edition feature of targeting a URL for video downloads without the need to download the video first. The video concludes with a reminder to use face-swapping technology responsibly.

Mindmap

Keywords

💡Face Swapping

Face swapping is a technology that involves replacing one person's face in an image or video with another person's face. In the video, the presenter demonstrates how to perform face swapping not just in images, but also in videos, which is a significant advancement in the field of digital manipulation.

💡Face Fusion 2.0

Face Fusion 2.0 is the updated version of a face-swapping software that the presenter is introducing. It is capable of performing face swaps on both images and videos, which is showcased as a new feature in the video. The software allows users to blend faces in a way that appears natural and seamless.

💡Gold Edition

The Gold Edition is a premium version of the face-swapping software that includes additional features and capabilities. The presenter mentions that those who have supported the development of Face Fusion have access to this Gold Edition, which offers enhanced functionality and options for users to perform more advanced face swaps.

💡Virtual Environment

A virtual environment is a self-contained directory tree that contains a Python installation for a particular version of Python and a set of libraries. In the context of the video, the presenter uses a virtual environment to install and run Face Fusion, which helps to manage dependencies and ensure the software runs correctly.

💡CUDA

CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). The video mentions selecting CUDA as an execution provider for Face Fusion, which implies that the software can utilize NVIDIA GPUs to accelerate the face-swapping process.

💡Face Selector Mode

Face Selector Mode is a feature within the face-swapping software that allows users to choose which face or faces they want to swap in an image or video. The presenter demonstrates using this mode to select individual faces or multiple faces for the swapping process.

💡Face Mask Padding

Face Mask Padding is a technical term referring to the adjustable boundary around the face that defines the area to be swapped. The presenter discusses adjusting the face mask padding to fine-tune the face-swapping process and avoid artifacts or blurring in the output.

💡Face Enhancer

A Face Enhancer is a tool within the software that improves the quality of the swapped face. The presenter uses a Face Enhancer, such as GFP GAN 1.4, to smooth out the face after the swapping process, resulting in a more natural-looking outcome.

💡TensorRT

TensorRT is a high-performance deep learning inference platform developed by NVIDIA. It is mentioned as an advanced feature that can be used if installed, to further optimize the performance of the face-swapping software.

💡Face Debugger

The Face Debugger is a tool that provides visual feedback during the face-swapping process. It allows users to see a preview of the face swap and make adjustments, such as moving the face or adjusting the blur, to achieve the desired result.

💡Video Processing

Video processing refers to the manipulation of video content, in this case, to perform face swapping on a video sequence. The video demonstrates how Face Fusion 2.0 can process videos, frame by frame, to replace faces with high accuracy.

Highlights

The video demonstrates how to use Face Fusion 2.0 for swapping faces in both images and videos.

A detailed text guide with pictures is available on Patreon for subscribers.

The process involves cloning the Face Fusion repository and setting up a virtual environment.

Different GPU options are available for installation, including CUDA for Nvidia and Roam for AMD.

Face Fusion 2.0 can be run locally by using the command 'python run_pi'.

The Gold Edition of Face Fusion offers additional features and is installed via a plugin patch.

YouTube video links can be used with Face Fusion, provided all rights and copyright are respected.

The output path for results can be customized for convenience.

Face Fusion allows users to load a face for swapping and a target face to be altered.

The face swap model's quality depends on the selected model, with options like Ghost Model available in the Gold Edition.

Execution providers can be chosen for processing, such as CPU, CUDA, or Tensor RT for advanced features.

Face detection settings can be adjusted for the quality and speed of face recognition.

The face debugger tool assists in fine-tuning the face swap by showing facial landmarks and allowing adjustments.

Face enhancers like GFP GAN 1.4 can be used to improve the quality of the swapped face.

Memory and thread count settings can be modified based on the user's CPU capabilities.

Videos can be processed by Face Fusion, with options to trim frames and use a face debugger for precise editing.

The Gold Edition feature allows targeting a URL for video downloads without the need for prior download.

The video concludes with a reminder to use face-swapping technology responsibly.