Create high-quality deepfake videos with Stable Diffusion (Mov2Mov & ReActor)

AI Lab Tutorial
14 Jan 202406:49

TLDRUTA Akiyama presents a tutorial on creating high-quality deepfake videos using Stable Diffusion's advanced features, 'Move to Move' and 'Reactor'. The guide covers downloading and installing these expansion functions, setting up the software, and using them to swap faces in a video with detailed customization options. Akiyama demonstrates the process from installation to final output, showcasing the potential of AI in generating realistic deepfake content.

Takeaways

  • 🎥 Introduction to creating high-quality deepfake videos using Stable Diffusion and its expansion functions.
  • 🔄 Explanation of the Loop face swap technique and its improved version, Reactor.
  • 📊 Demonstration of downloading and installing expansion functions: Move to Move and Reactor.
  • 🖼️ Utilization of Move to Move function to convert videos into images for each frame and recreate them into a new video.
  • 👤 Installation and usage of the Reactor function for face swapping in videos.
  • 🌐 Guidance on launching Stable Diffusion and accessing the Extensions tab for plugin installation.
  • 🎨 Selection of the 'beautiful realistic' model for creating Asian-style visuals.
  • 📹 Uploading the original video and setting up parameters for video generation.
  • 🔄 Discussion on sampling methods and default settings for creating AI images from video frames.
  • 🖼️ Resizing and denoising settings to maintain the integrity of the original video.
  • 👩‍🎤 Explanation of Reactor's gender detection and face swap features for natural-looking results.
  • 📈 Presentation of the final deepfake video and instructions on downloading and storing the output.

Q & A

  • Who is UTA Akiyama and what is their role in this video?

    -UTA Akiyama is the presenter of the video, who introduces the process of creating a high-quality deepfake video using Stable Diffusion and its expansion functions.

  • What is the purpose of the Loop face swap technique mentioned in the video?

    -The Loop face swap technique is used as a basis for the improved version called Reactor, which is an expansion function in Stable Diffusion used for face swapping in videos.

  • What is the 'Move to Move' expansion function in Stable Diffusion?

    -The 'Move to Move' expansion function is used to convert the original video into an image for each frame and then create a new video by connecting these images, effectively allowing for AI image generation for each frame of the video.

  • How does one install the 'Move to Move' and 'Reactor' expansion functions in Stable Diffusion?

    -To install these expansion functions, one needs to go to the 'Extensions' tab in Stable Diffusion, use the 'Install from URL' option, and paste the provided links from the summary column to download and install 'Move to Move' and 'Reactor'.

  • What model does UTA Akiyama use for creating Asian style visuals in the video?

    -UTA Akiyama uses the 'Beautiful Realistic' model for creating Asian style visuals in the video.

  • What are the steps to upload the original video and process it with Reactor in Stable Diffusion?

    -First, upload the original video before changing the face to generation. Then, set the prompt run to blank, choose the desired model, and upload the face image you want to swap. Adjust the settings such as gender detection, face restoration, and denoising strength according to your preferences and start the generation process.

  • How does the 'Reactor' function in Stable Diffusion work?

    -The 'Reactor' function is an expansion function for face swapping. It allows users to upload a single source image of a face they want to change and uses features like gender detection, face lister, and a restoration model to generate a more natural and accurate face swap.

  • What is the significance of the 'Denoising Strength' setting in the Reactor function?

    -The 'Denoising Strength' setting determines how faithfully the original video can be reproduced. The closer the setting is to zero, the more accurately the original video can be replicated. However, for face swapping, it is set to zero to focus on the face change without altering the original video's quality.

  • How can you check the progress of the video processing in Stable Diffusion?

    -You can check the progress of the video processing in Google Collaboration. Once the processing is complete, you can view and download the results from the Stable Diffusion web UI.

  • What are the benefits of using Reactor and Move to Move in creating deepfake videos?

    -Using Reactor and Move to Move allows for the easy creation of high-quality deepfake videos. These tools enable precise control over the generation of AI images and video frames, resulting in realistic and seamless face swaps.

  • How can viewers engage with UTA Akiyama's content and provide feedback?

    -Viewers can engage with UTA Akiyama's content by liking and subscribing to their videos. They can also leave comments with any questions or feedback on the video platform where the content is hosted.

Outlines

00:00

🎥 Introduction to Creating High-Quality Deepfake Videos

UTA Akiyama introduces the process of creating high-quality deepfake videos using Stable Diffusion, focusing on the expansion functions 'Move to Move' and 'Reactor'. The video begins with downloading these functions and provides links to past tutorials for those unfamiliar with Stable Diffusion. Akiyama explains the purpose of 'Move to Move', which converts videos into images for each frame and then recreates them, and guides viewers through the installation process of both expansion functions.

05:02

🌟 Utilizing Reactor and Move to Move for Video Creation

The second paragraph details the actual creation of a deepfake video. Akiyama selects the 'Beautiful Realistic' model for generating Asian-style visuals and sets up the 'Move to Move' tab. The video's width, height, and denoising strength are adjusted to match the original video. The 'Reactor' function is used to change the face in the video, with gender detection and face swap features discussed. Akiyama emphasizes the use of 'Code Forer' to correct blurred faces and demonstrates the final, accurate result of the deepfake video creation process.

Mindmap

Keywords

💡Deepfake Video

A deepfake video is a type of media where the appearance of a person in the video is manipulated using artificial intelligence to make it look as if they are saying or doing something they did not. In the context of the video, the main theme is creating high-quality deepfake videos using stable diffusion and specific expansion functions like 'reactor' and 'move to move'.

💡Stable Diffusion

Stable Diffusion is a platform or software used for generating AI images or videos. It provides a user interface where various expansion functions can be installed and utilized for specific tasks, such as creating deepfake videos. The video script introduces the use of Stable Diffusion as the base platform for the deepfake creation process.

💡Face Swap

Face swap is a technique used in image and video editing where the face of a person in an image or video is replaced with another face. In the video, the 'reactor' function is an expansion function that facilitates face swapping, allowing users to change the face in a video with a new one.

💡Expansion Function

An expansion function in the context of the video refers to additional tools or plugins that can be installed within the Stable Diffusion platform to extend its capabilities. These functions, like 'move to move' and 'reactor', allow users to perform specific tasks such as creating deepfake videos or moving images.

💡Move to Move

The 'move to move' function is an expansion function used in the video to convert the original video into individual images for each frame and then create a new video by connecting these images. This process is akin to making a video by attaching text to the image created for each frame of the original video.

💡Reactor

In the context of the video, 'reactor' is an expansion function used for face swapping within a video. It identifies the gender in the video and changes the face accordingly. The reactor function can also restore the structure of the image and cleanse a blurry image.

💡Beautiful Realistic

The 'Beautiful Realistic' model mentioned in the script is a type of AI model that is adept at creating visually appealing and realistic images, particularly of Asian styles. It is used in the video to generate the new face for the deepfake.

💡Sampling Method

The sampling method in the context of the video refers to the process of selecting a particular approach for generating the AI images or videos. Different sampling methods can affect the quality and style of the output. In the script, the default DPM Plus+ 2m Crow is used, which is a specific sampling method.

💡DenoiSing Strength

The denoising strength is a parameter that controls the level of detail and faithfulness to the original video when creating a deepfake. A lower value means a more faithful reproduction of the original, while a higher value introduces more differences.

💡Code Forer

The 'Code Forer' is a feature within the 'reactor' function that is used to maintain the structure of the image and clean up a blurry image. It is a restoration model that corrects the image when the face is distorted or blurred.

💡Gender Detection

Gender detection is a feature within the 'reactor' function that identifies the gender of the person in the video. This feature is used to accurately swap the face with a model that matches the detected gender, ensuring a more realistic outcome.

Highlights

Introduction to creating high-quality deepfake videos using Stable Diffusion.

Explanation of the face swap technique called Loop and its improved version, Reactor.

Demonstration of downloading the expansion functions Move to Move and Reactor.

Guidance on launching Stable Diffusion and accessing the Extensions tab.

Installation of Move to Move for video frame image conversion.

Restarting Stable Diffusion after expansion function installation.

Installation and setup of the SD Web Reactor for face swapping.

Selection of the 'Beautiful Realistic' model for creating Asian-style visuals.

Adjustment of prompt run and sampling method for AI image creation.

Uploading the original video and setting the desired width, height, and denoising strength.

Utilization of Reactor for face swapping without altering the original video structure.

Explanation of gender detection and face swap features within the Reactor.

Use of the Code Fore restoration model for correcting blurred faces.

Adjustment of settings and initiation of the video processing.

Review of the processed video showcasing the accuracy of the face replacement.

Instructions on downloading the final deepfake video and storing it.

Encouragement to explore text-to-image generation with Reactor and Move to Move.

Call to action for viewers to like, subscribe, and comment for further engagement.

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