Best DeepFake AI Tutorial | Video Face Swap with Google Colab for Free ✨

Prompt Revolution
23 Oct 202303:40

TLDRThis tutorial guides viewers on how to create realistic deep fake videos using an open-source AI tool called RP, accessible through Google Colab. The process is explained step-by-step, from logging into a Google account to uploading video footage and images. The user is shown how to run three segments or cells in sequence to merge faces seamlessly into a video. The tutorial emphasizes that no high-end graphics card is needed and that the initial setup might seem complex but is actually quite straightforward. The video concludes with instructions on how to download the final deep fake video and offers a teaser of the results, encouraging viewers to like, share, and subscribe for more content.

Takeaways

  • 🎬 The tutorial is about creating realistic deepfake videos by merging three faces into an example video.
  • πŸ”— Click the link in the description to access the page where the AI tool RP is used for high-quality outputs.
  • πŸ’» Log into your Google account to use the open-source tool RP in the cloud with Google Colab.
  • πŸ“š The tool's repository can be found on GitHub, but the tutorial focuses on using it through Google Colab.
  • πŸš€ No high-end graphics card is needed to run the tool in the cloud environment.
  • πŸ“ˆ The process involves running three segments or cells in sequence within the Colab environment.
  • ⚠️ Warnings may appear during the process, but it's safe to proceed by clicking 'Run Anyway'.
  • πŸ“‚ Upload your video footage and image by navigating to the files panel and selecting the appropriate files.
  • πŸ•’ Be prepared for variable upload times depending on the length of the video clip.
  • πŸ“ Copy and paste the paths of your video and image files into the designated areas in the third cell.
  • πŸ”„ After uploading and setting the paths, run the third cell to start the deepfake video processing.
  • πŸ“‘ Keep an eye on the process completion indicated by 'processing to video succeed' in the output.
  • πŸ“ The completed deepfake video will be labeled as 'swap.MP4' and can be downloaded from the files panel.
  • πŸ”„ For additional deepfake videos, simply upload new files and adjust paths in the third cell without repeating all cells.
  • πŸŽ‰ The tutorial concludes with a thank you note and an encouragement to like, share, and subscribe for more helpful content.

Q & A

  • What is the main topic of the tutorial?

    -The main topic of the tutorial is crafting realistic deep fake videos using an open source tool called RP.

  • Which AI tool is utilized in the tutorial for creating deep fake videos?

    -The AI tool utilized in the tutorial is RP, which is an open source tool that provides high quality outputs.

  • What is the ultimate objective of using the AI tool in the tutorial?

    -The ultimate objective is to seamlessly merge three faces into an example video to produce three high quality deep fake videos.

  • How can one access the repository for the AI tool used in the tutorial?

    -The repository for the AI tool can be accessed on GitHub.

  • What platform is used to run the AI tool without needing a high-end graphics card?

    -Google Colab is used to run the AI tool without needing a high-end graphics card.

  • How many segments or cells are there in the process of creating a deep fake video as described in the tutorial?

    -There are three segments or cells in the process.

  • What should one do to start the process of creating a deep fake video?

    -To start the process, one should click on the play icon inside the first cell and confirm the process by clicking 'run anyway'.

  • How long does it take to upload video footage to Google Colab?

    -The time it takes to upload the video footage varies based on the clip's length.

  • How does one copy the path of the uploaded video and image files?

    -One can copy the path by clicking the three dots next to the video or right-clicking on it and selecting 'copy path'.

  • What should one look for in the last line of the third cell to confirm the successful processing of a deep fake video?

    -One should look for the message 'processing to video succeed' in the last line of the third cell.

  • How can one download the created deep fake video?

    -To download the deep fake video, one should navigate to the left panel, click on the three dots next to the video labeled 'swap.MP4', and select the download option.

  • What should one do if they want to create another deep fake video without going through all three cells again?

    -To create another deep fake video without repeating all cells, one should simply upload their new image and video, adjust their paths in the third cell, and then run the third cell.

Outlines

00:00

πŸŽ₯ Introduction to Deepfake Video Creation

The video begins by challenging viewers to distinguish between real and fake video clips. It then introduces the topic of creating realistic deepfake videos and outlines the process using an example. The AI tool 'RP' is mentioned as a high-quality, open-source option for generating deepfake videos. The video promises to guide viewers through using RP in the cloud with Google Colab, eliminating the need for a high-end graphics card. The instructions start with accessing a link, logging into a Google account, and running three segments or cells in sequence. The video assures viewers that despite initial complexity, the process is straightforward.

Mindmap

Keywords

πŸ’‘DeepFake

DeepFake refers to the use of artificial intelligence to create realistic but fake videos or images, often used to superimpose a person's face onto another's body. In the video, DeepFake is the core technology used to merge three faces into a video, aiming to produce high-quality fake videos.

πŸ’‘Video Face Swap

Video Face Swap is a process where the faces in a video are swapped with other faces using AI technology. It is a specific application of DeepFake. In the context of the video, the goal is to seamlessly integrate three different faces into an existing video clip.

πŸ’‘Google Colab

Google Colab is a cloud-based platform provided by Google that allows users to run Jupyter notebooks in the cloud with free access to computing resources, including GPUs. It is used in the video to run the AI tool RP without requiring a high-end graphics card.

πŸ’‘RP (AI Tool)

RP is an open-source AI tool used in the video to create high-quality DeepFake outputs. It is utilized to craft the realistic deep fake videos as demonstrated in the tutorial.

πŸ’‘GitHub

GitHub is a web-based platform for version control and collaboration that allows developers to work on projects and contribute to open-source software. The repository for the RP tool used in the video can be accessed on GitHub.

πŸ’‘Jupyter Notebook

A Jupyter Notebook is an open-source web application that allows creation and sharing of documents with live code, equations, visualizations, and narrative text. In the video, the process of creating DeepFake videos involves running cells in a Jupyter Notebook on Google Colab.

πŸ’‘High-Quality Outputs

High-Quality Outputs refer to the end results of a process that are of superior quality, in this case, the DeepFake videos produced. The video emphasizes the goal of producing high-quality DeepFake videos using the RP tool.

πŸ’‘Uploading Video Footage

Uploading Video Footage is the process of adding video files to a platform or application. In the video script, the user is guided to upload their video and image files to Google Colab to be used in the DeepFake creation process.

πŸ’‘Path

In the context of computing, a path refers to the location of a file or directory within a file system. The video script instructs users to copy and paste the path of their uploaded video and image files into the Jupyter Notebook cells to specify the source and target for the DeepFake process.

πŸ’‘Processing

Processing in this context refers to the computational work done by the AI tool to create the DeepFake video. The video script mentions waiting for the processing to complete before downloading the final video.

πŸ’‘Download

Download is the action of transferring data from a remote system, typically over a network. In the video, after the DeepFake video is processed, the user is instructed to download the finished video file to their computer.

Highlights

The tutorial focuses on creating realistic deep fake videos using an open-source tool called RP.

RP is accessible through Google Colab, eliminating the need for a high-end graphics card.

The process involves running three segments or cells in sequence within the Google Colab environment.

After logging into Google, users can access the AI tool and its repository on GitHub.

The initial cell may take some time to complete, indicated by a green check mark upon success.

The second cell requires confirmation of successful completion before proceeding to the third cell.

Video footage and images can be uploaded directly within the Google Colab interface.

Upload time for the video varies based on the clip's length.

Users need to copy the path of the uploaded video and image to the respective fields in the third cell.

The final step involves running the third cell to begin the deep fake video processing.

A message indicating 'processing to video succeed' will appear once the deep fake video is ready.

The completed deep fake video can be downloaded from the left panel in Google Colab.

To create another deep fake video, simply upload new files and adjust paths in the third cell.

The tutorial demonstrates the creation of three high-quality deep fake videos from images.

The video is an educational resource for those interested in video face swap technology.

The use of RP and Google Colab provides a free and accessible way to generate deep fake videos.

The tutorial is designed to be straightforward, even for those who may find it daunting initially.

The final results showcase the seamless merging of faces into the example video.

Viewers are encouraged to like, share, and subscribe for more helpful content.