Easy Deepfake Tutorial: DeepFaceLab 2.0 Quick96

Deepfakery
27 Jul 202006:39

TLDRThis tutorial demonstrates how to create deepfake videos using DeepFaceLab 2.0 build 7182020 on a Windows PC with NVIDIA graphics. It guides through downloading and installing the software, extracting images from videos, processing them to extract faces, training the deepfake model, and merging the faces to generate the final video. The instructor emphasizes using default settings and provides tips for adjusting the model's accuracy and previewing results.

Takeaways

  • 💻 Use DeepFaceLab 2.0 build 7182020 for creating deepfake videos.
  • 🖥️ Requires a Windows PC with an NVIDIA graphics card.
  • 🔧 Utilize the Quick96 preset trainer with default settings.
  • 📥 Download DeepFaceLab from GitHub releases, no installation needed.
  • 📁 Extract images from source and destination videos using default settings.
  • 🔍 Extract facesets from the images for deepfake processing.
  • 👀 View and optionally remove unwanted faces from the facesets.
  • 🤖 Begin training the deepfake model using the Quick96 preset.
  • 🔄 Monitor training accuracy and loss values to assess model performance.
  • 🎞️ Merge the trained faces into the final deepfake video.
  • 🖊️ Adjust erode and blur mask values for better deepfake results.
  • 📹 Merge the deepfake frames with destination audio to complete the video.
  • 🚀 Experiment with training and merger settings to enhance deepfake quality.

Q & A

  • What software is used in the tutorial to create deepfake videos?

    -The tutorial uses DeepFaceLab 2.0 build 7 18 2020 to create deepfake videos.

  • What hardware is required to run DeepFaceLab as per the tutorial?

    -A Windows PC with an NVIDIA graphics card is required to run DeepFaceLab.

  • How can one obtain DeepFaceLab for the tutorial?

    -DeepFaceLab can be downloaded from the releases section on github.com/iperov/DeepFaceLab using either a torrent magnet link or from Mega.nz.

  • What is the purpose of the 'workspace' folder in DeepFaceLab?

    -The 'workspace' folder in DeepFaceLab holds folders for images and trained model files, including source and destination video files.

  • What does the 'extract images from video' step involve?

    -This step processes the video files to create a .png file for each frame, which will be used for deepfake creation.

  • How are faces extracted from the images in the tutorial?

    -The tutorial uses the 'data src faceset extract' and 'data dst faceset extract' files to process images and extract faces for the deepfake.

  • What is the function of the 'view aligned result' files in the tutorial?

    -These files allow users to view the source and destination facesets, and remove unwanted faces if necessary.

  • What does the training step in the tutorial entail?

    -The training step involves using the 'train Quick96' file to load image files and run the first iteration of the deepfake model training.

  • How can one determine when to end the training in the tutorial?

    -The tutorial suggests using the preview window to monitor loss values and image previews, and ending training when desired results are achieved.

  • What is the merging step in creating a deepfake video?

    -The merging step involves using the 'merge Quick96' file to apply settings and process the frames to create the final deepfake video.

  • How is the final deepfake video created in the tutorial?

    -After merging the faces, the tutorial instructs to use the 'merge to mp4' file to combine the deepfake frames with the destination audio into a video file.

  • Can the tutorial be applied to personal videos to create a deepfake?

    -Yes, the tutorial can be followed with personal videos by renaming them and replacing the 'data_src.mp4' and 'data_dst.mp4' files.

Outlines

00:00

🎥 Introduction to Creating Deepfake Videos

The instructor introduces a tutorial on creating deepfake videos using DeepFaceLab 2.0. The process requires a Windows PC with an NVIDIA graphics card. The tutorial will utilize the software's Quick96 preset trainer with default settings. The first step involves downloading and installing DeepFaceLab from GitHub, extracting the files, and navigating to the 'DeepFaceLab NVIDIA' folder. The workspace contains folders for images and trained model files, with source and destination videos labeled 'data src' and 'data dst'. The tutorial will guide through extracting images from these videos, processing them to extract faces, and then training the deepfake model using default settings. The preview window during training provides visual feedback on the training process, with loss values indicating the accuracy of the model.

05:03

🔧 Finalizing and Viewing the Deepfake Video

After training the deepfake model, the tutorial proceeds to the merging step, where the faces are merged to create the final video. The instructor demonstrates how to use the merger settings to adjust the erode and blur mask values for a more convincing deepfake. Once the merging is complete, the new frames are combined with the destination audio to form the final video file. The tutorial concludes with viewing the deepfake video from the workspace folder and encourages experimentation with training and merger settings to achieve desired results. The instructor also suggests that users can create deepfakes from their own videos by following the same steps and replacing the source and destination video files.

Mindmap

Keywords

💡Deepfake

A 'deepfake' refers to a synthetic media in which a person's likeness is replaced with another's using artificial intelligence. In the context of the video, creating a deepfake video involves using a software like DeepFaceLab to manipulate images and videos to make it appear as if one person is another. The script describes a process where the instructor guides viewers through creating a deepfake video using specific tools and techniques.

💡DeepFaceLab

DeepFaceLab is an open-source tool used for creating deepfake videos. As mentioned in the script, it is the software utilized in the tutorial to generate synthetic media. The video specifically references DeepFaceLab 2.0 build 7182020, indicating a particular version of the software that includes a set of features and capabilities for deepfake creation.

💡NVIDIA graphics card

An 'NVIDIA graphics card' is a type of hardware component used in computers to render images, animations, and videos. The script specifies that a Windows PC with an NVIDIA graphics card is required for the tutorial, highlighting the importance of powerful graphics processing for the deepfake creation process, as these cards are optimized for tasks that require significant graphical computation.

💡Quick96 preset trainer

The 'Quick96 preset trainer' is a feature within DeepFaceLab that automates the training process for creating a deepfake with default settings. The script mentions using this preset to simplify the process, which suggests that it's designed for users who want a quick and easy way to train their deepfake models without adjusting complex parameters.

💡Extract Images

In the context of the video, 'extract images' refers to the process of converting video frames into individual image files. This is a crucial step in creating a deepfake, as it allows the software to analyze and manipulate each frame separately. The script describes using a specific batch file to extract images from the source and destination videos.

💡Facesets

A 'faceset' in the script refers to a collection of images that contain faces extracted from video frames. These are used as input for the deepfake model to learn and replicate facial features. The process of extracting facesets is detailed in the script, where the instructor demonstrates how to use the software to identify and isolate faces from the images.

💡Training

Training, in the context of the video, is the phase where the deepfake model learns to generate new images by analyzing the source and destination facesets. The script outlines the steps to initiate training using DeepFaceLab, including using default settings and monitoring the training process through a preview window.

💡Merge

Merging, as described in the script, is the final step in creating a deepfake video where the trained model's output is combined with the original video frames to create a seamless final product. The script provides instructions on how to use the 'merge Quick96' tool to apply the deepfake faces onto the video, adjusting settings to ensure a realistic appearance.

💡Erode mask value

The 'erode mask value' is a parameter used during the merging process to refine the edges of the faces in the deepfake video. In the script, the instructor demonstrates adjusting this value to improve the integration of the fake face with the original video, making the deepfake appear more realistic by reducing the visibility of the face's border.

💡Blur mask value

Similar to the erode mask value, the 'blur mask value' is another parameter used in the merging process. It controls the level of blur applied around the face, which can help in making the deepfake less noticeable by softening the edges. The script includes instructions on how to increase this value to achieve a more natural-looking deepfake.

💡Merge to mp4

The term 'merge to mp4' refers to the final step of converting the merged frames into a video file with the .mp4 extension. As detailed in the script, this is done using a specific batch file within DeepFaceLab, which compiles the individual frames into a complete video with the deepfake faces integrated, ready for viewing or sharing.

Highlights

Tutorial on creating deepfake videos using DeepFaceLab 2.0 build 7 18 2020.

Requires a Windows PC with an NVIDIA graphics card.

Quick96 preset trainer used with default settings.

Download DeepFaceLab from GitHub releases.

No installation needed; extract files to use.

Workspace folder holds images and trained model files.

Extract images from source and destination videos.

Process images to extract faces for deepfake.

View and select facesets for the deepfake model.

Begin training the deepfake model using default settings.

Training accuracy and loss values are displayed.

Preview window updates with keyboard commands.

Save and exit training to create the deepfake model.

Merge faces to create the final deepfake video.

Adjust erode and blur mask values for better results.

Merge deepfake frames into a video with destination audio.

View the completed deepfake video in the workspace folder.

Restart training to improve deepfake quality.

Experiment with merger settings for desired results.

Create deepfakes from personal videos by following the tutorial.

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