This Face Swapper is MIND BLOWING! Roop Tutorial.

Sebastian Kamph
25 Jun 202308:09

TLDRThe video guide walks viewers through the process of using Roop inside Stable Fusion to swap faces in images with just a click. It covers the installation of prerequisites like Visual Studio and Python packages, and introduces a trick for working with multiple faces. The tutorial demonstrates the use of different styles and sampling methods to generate images, showcasing the impressive likeness and detail achievable with the tool.


  • πŸ™‚ The video introduces Roop, a stable Fusion extension for face swapping in images without complex processes.
  • πŸ’» Installation involves downloading prerequisites like Visual Studio with Python and C++ packages.
  • πŸ‘¨β€πŸ’Ό A command line operation is shown for installing 'inside face', a component required for Roop.
  • πŸ’Ž Demonstrates the process of finding and installing Roop from GitHub through the Stable Fusion web UI.
  • πŸ’ƒ A practical example is shown with a ballerina image to demonstrate face swapping using digital oil painting style.
  • πŸ“Έ Illustrates the capability to work with multiple faces in a single image, using a coffee shop scene as an example.
  • πŸ” Shares a unique trick for managing multiple faces in images, not covered in other guides.
  • πŸ‘€ Emphasizes the ease and effectiveness of Roop, showcasing high-quality, non-cherry-picked results from the first try.
  • πŸ”§ Offers tips for advanced usage, like adding multiple Roop extensions to handle several faces differently in one image.
  • πŸ“± Encourages experimentation with Roop, highlighting its powerful features and potential for creative image manipulation.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about using Roop inside of Stable Fusion to swap faces in images without any DreamBooth or LAION training.

  • Where can you get Roop?

    -You can get Roop from GitHub.

  • What are the prerequisites for installing Roop?

    -The prerequisites include installing Visual Studio with Python and C++ packages, and the Visual Studio extension.

  • How long does it take to install Roop and its dependencies?

    -The installation process took about one and a half minutes for the speaker, but it may vary depending on the system and internet speed.

  • What is the purpose of the 'pip install inside face' command?

    -The 'pip install inside face' command is used to install the necessary dependencies for Roop.

  • How does the group feature in Stable Fusion work?

    -The group feature allows users to generate images with multiple faces, where each face can be the same or different, based on the user's preference.

  • What is the trick mentioned in the video for working with multiple faces?

    -The trick involves adding commas followed by numbers (e.g., 0, 1, 2, etc.) to generate multiple faces with the same or different appearances in a single image.

  • How can you ensure that only specific faces in a group image are changed?

    -By using the group feature and assigning different group numbers to the faces you want to change, you can control which faces are altered during the generation process.

  • What is the benefit of using the group feature with multiple faces?

    -The group feature with multiple faces can be used for fun effects or to create images with a consistent look across multiple individuals, which can be useful for certain creative projects.

  • How does the video demonstrate the effectiveness of the group feature?

    -The video demonstrates the effectiveness of the group feature by showing the results of generating images with different faces, where the likeness and style are maintained consistently across the faces.

  • What is the final tip given in the video for using the group feature?

    -The final tip is to copy the group setting from one Stable Fusion instance to another by accessing the extensions folder and modifying the group settings accordingly.



🎨 Introduction to Roop in Stable Fusion

The video begins with an introduction to Roop, a tool that allows users to swap faces in images with just a single click, without the need for any prior training or specialized software like DreamBooth or Laura. The creator promises to share a unique trick not found in other guides. The process starts with downloading Rupee from GitHub and installing prerequisites like Visual Studio and Python, along with the necessary C++ packages. The video also covers installing the 'face' Python package and setting up the Stable Fusion extension for face-swapping. The creator demonstrates the process of generating images using different styles and sampling methods, emphasizing the ease of use and the impressive results that can be achieved with Roop.


πŸ‘₯ Advanced Face Swapping with Multiple People

This paragraph delves into more advanced techniques of face swapping with Roop, including working with images containing multiple people. The creator explains how to generate images with the same face on multiple people by using a comma-separated list in the prompt. A unique trick is introduced where the creator shows how to change the face of one person in an image while keeping the other faces unchanged. The video continues with a demonstration of adding multiple faces to an image using two separate groups in Stable Fusion. The creator also provides a tip for using the 'group' feature effectively by copying the group settings from one image to another. The segment concludes with the creator encouraging viewers to like and subscribe if they enjoyed the content.




Roop is a software tool used for face-swapping in images, as demonstrated in the video. It is a feature of the Stable Fusion platform, which allows users to replace faces in images with other faces without the need for extensive training or specialized equipment. In the context of the video, Roop is used to create images with different facial features, showcasing its ability to blend and generate realistic face swaps.

πŸ’‘Stable Fusion

Stable Fusion is a platform that enables users to perform various image manipulations, including face-swapping, through the use of AI models. It is characterized by its ease of use, as the video emphasizes that users can achieve impressive results with just a few clicks. The platform is also noted for its ability to integrate with other tools and extensions, such as Roop, to enhance its capabilities.


GitHub is a web-based hosting service for version control and source code management, which is used by developers to store and manage their projects. In the context of the video, GitHub is the source from which the Roop tool is obtained, indicating that it is an open-source or community-developed tool that can be downloaded and utilized by users following the provided instructions.

πŸ’‘Visual Studio

Visual Studio is an integrated development environment (IDE) from Microsoft that provides a platform for developers to create, debug, and publish software. In the video, it is mentioned as a prerequisite for installing Roop, suggesting that it is required for setting up the necessary development environment and possibly for compiling or running the Roop tool.


Python is a high-level, interpreted programming language known for its readability and ease of use. In the context of the video, Python is one of the programming languages that need to be included during the installation of Visual Studio. It is likely used as part of the backend or scripting for Roop and Stable Fusion, enabling the execution of the face-swapping functionality.


C++ is a general-purpose programming language that offers a high level of flexibility and control over system resources. In the video, it is listed as one of the packages to be included during the Visual Studio installation. This suggests that C++ is necessary for the compilation or execution of the Roop tool or for handling the computational aspects of image processing within Stable Fusion.


In the context of the video, extensions refer to additional software components that enhance or add new features to a primary application. Specifically, the video discusses an extension for Stable Fusion that enables face-swapping with a reference image. These extensions are crucial for expanding the capabilities of the platform and providing users with more options for image manipulation.

πŸ’‘Sampling Method

The sampling method in the context of the video refers to the technique used by the AI model to generate images. It is a critical aspect of the image generation process, as it determines how the AI selects and combines different elements to create the final output. The video mentions changing the sampling method to '2m Keras', which likely refers to a specific algorithm or setting within the Stable Fusion platform that affects the quality or style of the generated images.


In the video, 'styles' refer to specific visual characteristics or artistic effects that can be applied to the generated images. These styles can dramatically alter the look and feel of the images, adding a creative touch or achieving a particular aesthetic. The video mentions 'digital oil painting' as one of the styles used, suggesting that the AI model can mimic various artistic styles to produce unique and visually appealing results.


The term 'group' in the video refers to a feature within the Stable Fusion platform that allows users to manipulate multiple faces within a single image. This feature is particularly useful for creating images with multiple people, where each person can have the same or different faces. The video demonstrates how to use this feature to swap faces in a group setting, showcasing the flexibility and power of the platform's face-swapping capabilities.


In the context of the video, a 'seed' is a value or set of parameters used by the AI model to generate a specific image. By reusing the same seed, users can reproduce the exact same image, ensuring consistency and control over the output. The video emphasizes the importance of seeds for achieving predictable and repeatable results in the face-swapping process.


Roop can be used inside Stable Fusion to reproduce images with any face without additional training.

The process is as simple as a one-click operation, making it accessible for users without technical expertise.

Visual Studio is required for downloading Roop, with specific Python and C++ packages to be included during installation.

After installation, a command using pip is run to install inside face, which involves building dependencies.

Extensions in Visual Studio are utilized to enable face-swapping features with reference images.

Roop's functionality is demonstrated by generating images with different styles and sampling methods.

The ability to reuse a seed ensures consistency in image generation, allowing for replicability of results.

Group feature in Roop allows users to generate images with multiple people, each having the same or different faces.

The guide introduces a trick for working with multiple faces by adding commas to the seed input.

Changing the sampling method to 2m Keras can enhance the quality of the generated images.

The guide showcases the uncanny likeness of the generated images, even down to the eyebrows.

The tutorial demonstrates how to change a single face in an image with multiple people, using the group feature.

By modifying the group settings in the extension folder, users can control the number of faces and their appearance.

The guide highlights the potential for creative applications, such as adding a unique face to a group of people in a coffee shop image.

The tutorial concludes by emphasizing the power and potential of the Roop extension for future creative endeavors.

The guide encourages users to explore and experiment with the Roop extension for their own projects.