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

AI Lab Tutorial
14 Jan 202406:49

TLDRUTA Akiyama introduces viewers to the creation of high-quality deepfake videos using Stable Diffusion with the help of expansion functions, 'Move to Move' and 'ReActor'. Akiyama demonstrates the process of downloading and installing these functions, then guides through the creation of a video using the 'Move to Move' tab and the 'Beautiful Realistic' model, which is adept at generating Asian-style visuals. The video explains how to upload the original video, adjust settings such as sampling method and noising strength, and utilize the 'ReActor' for face replacement without compromising the original video's integrity. Akiyama also discusses the use of 'ReActor' features like gender detection and face restoration. The video concludes with the successful generation and download of the deepfake video, encouraging viewers to explore the possibilities of Stable Diffusion for creating not just videos, but also text-to-image images.

Takeaways

  • 📚 **Introduction to Stable Diffusion**: UTA Akiyama introduces the process of creating high-quality deepfake videos using Stable Diffusion with the expansion functions Mov2Mov and ReActor.
  • 🔍 **Loop Face Swap Technique**: Previously, the face swap technique called Loop was introduced, now the focus is on the improved version, ReActor.
  • 📥 **Downloading Expansion Functions**: Demonstrates how to download and install the Mov2Mov and ReActor expansion functions for Stable Diffusion.
  • 🔄 **Restarting Stable Diffusion**: After installation, the program must be restarted to activate the newly installed expansion functions.
  • 🎨 **Choosing a Model**: The model 'Beautiful Realistic' is selected for its ability to create Asian style visuals, though other realistic models are also suitable.
  • 📼 **Uploading Original Video**: The original video is uploaded for face replacement, and the sampling method is set to DPM Plus+ 2m, Crow.
  • 🖼️ **Resizing Video**: The video is resized to match the original video dimensions for consistency.
  • 🔧 **Adjusting Noising Strength**: The noising strength is set to zero to maintain the fidelity of the original video during the face replacement process.
  • 🧑 **Reactor Settings**: The face image to be swapped is uploaded, and gender detection, Lister face, and code forer settings are adjusted for natural-looking results.
  • 🔄 **Processing the Video**: The video is processed, and the progress can be tracked in Google Collaboration, with the final product being a high-quality deepfake video.
  • 📁 **Downloading the Video**: The completed video can be downloaded from the Stable Diffusion Web UI under the 'outputs' section.
  • 📈 **Potential for Text-to-Image Generation**: In addition to Mov2Mov, Stable Diffusion can also be used for generating text-to-image images, inviting further exploration.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is creating high-quality deepfake videos using Stable Diffusion with the expansion functions Move2Move and ReActor.

  • Who is the presenter in the video?

    -The presenter in the video is UTA Akiyama.

  • What is the first step in creating a deepfake video with Stable Diffusion?

    -The first step is to download and install the Move2Move and ReActor expansion functions in Stable Diffusion.

  • How can viewers find the links for the expansion functions?

    -Viewers can find the links for the expansion functions in the summary column of the video.

  • What is the role of the Move2Move expansion function?

    -The Move2Move expansion function converts each frame of the original video into an image and creates a new video by connecting these images.

  • What is the purpose of the ReActor expansion function?

    -The ReActor expansion function is used for face swapping, allowing the modification of faces in the video to create deepfake visuals.

  • How does one install the Move2Move expansion function?

    -To install the Move2Move expansion function, one needs to go to the Extensions tab in Stable Diffusion, use the provided URL, and click on Install.

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

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

  • What is the default sampling method used in the video?

    -The default sampling method used in the video is DPM Plus+ 2m, Crow.

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  • How does one adjust the width and height of the video to match the original?

    -To adjust the width and height, one should click on the triangle next to the video size input, and the size will be automatically reflected to match the original video.

  • What does the 'denoising strength' setting control?

    -The 'denoising strength' setting controls the fidelity of the original video reproduction. A value closer to zero reproduces the original video more faithfully, while a higher value results in a more stylized or altered appearance.

  • How can viewers download the final deepfake video?

    -Viewers can download the final deepfake video by navigating to the 'Move to Move' tab in Stable Diffusion, scrolling down to find the video, and selecting the download option.

  • What additional feature does Stable Diffusion offer besides video creation?

    -In addition to video creation, Stable Diffusion also offers the ability to generate text-to-image images.

Outlines

00:00

😀 Introduction to High-Quality Deep Fake Video Creation with Stable Diffusion

UTA Akiyama introduces the process of creating high-quality deep fake videos using Stable Diffusion, a tool for AI image creation. The video covers the installation of two expansion functions: 'move to move' for converting videos into images and creating new videos, and 'SD web reactor' for face swapping. Akiyama explains how to download and install these functions, use the 'beautiful realistic' model for creating Asian style visuals, and set parameters like sampling method, width, height, and denoisig strength. The tutorial also guides on how to replace faces using the reactor function and emphasizes the importance of gender detection and restoration models for natural-looking results.

05:02

🎬 Deep Dive into Creating and Downloading the Final Deep Fake Video

After setting up the environment with the necessary expansion functions, Akiyama demonstrates the creation of a deep fake video. The process involves selecting a model, uploading the original video, choosing a sampling method, and adjusting video dimensions and denoisig strength. The face replacement is done using the reactor with specific settings for gender detection and image restoration. Akiyama then guides viewers on how to generate the video, monitor the progress, and download the final product. The video concludes with an invitation to explore further possibilities with Stable Diffusion and a prompt to like, subscribe, and comment for more information.

Mindmap

Keywords

💡Deepfake videos

Deepfake videos are synthetic media in which a person's likeness is swapped with another's using artificial intelligence. In the context of the video, the speaker describes the process of creating high-quality deepfake videos using Stable Diffusion, a tool that employs AI to generate or alter images and videos.

💡Stable Diffusion

Stable Diffusion is a term that refers to a software or technology that is used to create stable, high-quality AI-generated content. In the video, it is the platform on which the user operates to create deepfake videos by leveraging its extension functions.

💡Loop

In the context of the video, Loop refers to a face swap technique previously introduced by the speaker. It is a method used to swap faces in videos, which is a part of the deepfake creation process.

💡Reactor

Reactor is an expansion function within Stable Diffusion that is used for face swapping. The video demonstrates how to use Reactor to change the face in a video to that of an AI-generated beauty, which is a core part of creating the deepfake.

💡Move to Move

Move to Move is an expansion function that is used to convert videos into a series of images (or frames) and then create a new video by stitching these images together. It is likened to attaching text to images for each frame of a video when creating AI images.

💡Extensions

Extensions in the context of Stable Diffusion are additional functionalities that can be installed to enhance the software's capabilities. The video script details the installation of Move to Move and Reactor, which are types of extensions.

💡Sampling method

The sampling method refers to the technique used by the AI to generate images from the input data. DPM Plus+ 2m Crow is mentioned as the default sampling method chosen in the video for creating the video frames.

💡Noising strength

Noising strength is a parameter that determines how much the original video's details are preserved or altered in the AI-generated output. A value closer to zero results in a more faithful reproduction of the original video.

💡Gender detection

Gender detection is a feature within the Reactor tool that identifies the gender of the faces in the video and adjusts the swapping process accordingly. It ensures that the swapped faces match the gender of the original faces.

💡Code Forer

Code Forer is a restoration model within the Reactor tool that is used to correct and improve the quality of the swapped faces, particularly when the face appears blurred in the generated image.

💡Google Collaboration

Google Collaboration is a platform or tool where the progress of the video processing can be monitored. It is mentioned in the video as a way to check the status of the deepfake video creation process.

💡My Drive

My Drive refers to a personal storage location within Google Drive where the completed deepfake video can be saved and accessed. The speaker instructs the viewer to download the video from this location.

Highlights

Introduction to creating high-quality deepfake videos using Stable Diffusion with the expansion functions Mov2Mov and ReActor.

Explanation of the face swap technique called Loop and the use of the improved version, ReActor.

Demonstration on how to download and install the Mov2Mov and ReActor expansion functions.

Guidance on launching Stable Diffusion and utilizing the Extensions tab for downloading the functions.

Brief overview of the Mov2Mov function, which converts videos into images for each frame to create a new video.

Instructions on restarting Stable Diffusion after the installation of the expansion functions.

Installation process of the SD Web Reactor, an expansion function for face swapping.

Verification of successful installation by checking the appearance of 'reactor' in the Move to Move tab.

Selection of the 'beautiful realistic' model for creating Asian style visuals.

Uploading the original video and setting the sampling method to DPM Plus+ 2m Crow.

Adjusting the width, height, and denosing strength to match the original video's quality.

Using the reactor to change the face in the video without altering the original structure.

Uploading a single source image of the desired face for the face swap.

Enabling gender detection and face restoration features within the reactor.

Explanation of the code forer model for correcting blurred faces in the generated image.

Adjusting the code forer weight to zero for specific video requirements.

Starting the video processing and monitoring progress in Google collaboration.

Reviewing the processing results for accuracy and face replacement quality.

Downloading the processed deepfake video from the Stable Diffusion Web UI.

Encouragement to try generating text-to-image if interested in exploring further capabilities.

Call to action for likes, subscriptions, and comments for further engagement.

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