【面白すぎる！】ディープフェイクのReActorの使い方と、ここだけのとっても面白い活用方法

This paragraph introduces the Reactor, a face-swapping extension for creating deep fakes. The speaker, Yuki, mentions that while the technology isn't new, they have extensively tested it and encourages viewers to watch the entire presentation. Two innovative uses of the Reactor are teased for the end of the program. The Reactor is described as an evolved version of a previous extension, with improvements in usability and quality. It is noted that the Reactor is a separate branch of the stable diffusion loop extension. The paragraph also cautions about the responsible use of deep fakes, emphasizing not to deceive or harm others. The improvements of the Reactor over the conventional loop are highlighted, including faster and more accurate face swapping, support for images with multiple faces, gender detection, image saving before swapping, and face restoration. The performance of the Reactor is noted to be independent of GPU power and improved by CUDA acceleration. The removal of the filter applied to NSFW content is also mentioned as a significant upgrade.

This paragraph explains the installation process of the Reactor extension and its basic usage. It begins with the installation instructions for Visual Studio, which are similar to those for the previously introduced roop, with a video guide provided for first-time installers. The paragraph then details the installation from the Extensions tab via the URL of the GitHub page. After installation, users can select the Reactor extension, which is organized alphabetically. The speaker demonstrates the basic usage by changing the face of an image using the image-to-image feature. The settings for the Reactor, including the model, base image generation, denoising strength, and saving options, are explained. The paragraph also describes the generation process and the results, emphasizing the quality and naturalness of the face-swapped image.

This paragraph delves into the advanced features and settings within the Reactor. The speaker discusses the impact of parameter settings on the final image, focusing on the Codeformer and GFPGAN technologies. Codeformer is a facial restoration technology that specializes in removing noise and blur from images while preserving facial details, making it ideal for low-resolution or poor-quality images. GFPGAN, on the other hand, is adept at reconstructing and enhancing facial textures without compromising facial features, suitable for images with obscured or damaged facial details. The speaker compares different Codeformer settings and their effects on the image, noting that a lower setting results in a more natural and feminine appearance, while a higher setting intensifies the facial elements at the expense of smoothness. The paragraph also explores the restore face visibility feature, which improves the clarity of obscured facial parts, and the impact of upscaling on image quality. The speaker suggests that upscaling can enhance the effect, especially for smaller faces.

This paragraph showcases the Reactor's capability to swap faces in images containing multiple people and to detect and swap faces based on gender. The speaker demonstrates how to use the Reactor to change the face of a man in a source image using a target image of three women lined up. The process of selecting face numbers for source and target images is explained, along with the results of the face-swapping process. The speaker also tests the Reactor's gender detection feature by generating images with only female or male faces changed. The accuracy of the gender determination is praised, and the potential of these features for various applications, such as altering graduation photos or creating animations, is discussed. The speaker also mentions a future video detailing the workflow for creating animations with the Reactor.

In this final paragraph, the speaker wraps up the presentation by highlighting the Reactor's ability to generate deep fake images and the creative potential it offers. Two innovative uses of the Reactor are introduced: swapping faces in crowded images and applying the technology to animations. The speaker describes a process for creating an animation by upscaling and face-swapping video frames, mentioning plans to cover this in more detail in future content. The Reactor's capability to store the original image and generate two video frames simultaneously is noted, allowing for the creation of upscaled and face-swapped videos. The video concludes with a call to action for viewers to subscribe to the channel and a thank you message for watching.