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 deepfake videos using an open-source tool called RP, accessible through Google Colab. The process is straightforward and does not require a high-end graphics card. Users are instructed to run three segments or cells in sequence, starting with the initial cell which may take some time to complete. After uploading their video footage and image, they are guided to copy and paste the paths into the third cell. Upon completion, a green check mark indicates success. The final step involves running the third cell to process the deepfake video, which can be downloaded once the process says 'processing to video succeed'. The video concludes with the results of three deepfake videos created from images, encouraging viewers to like, share, and subscribe if they found the tutorial helpful.

Takeaways

  • 🎬 The tutorial covers creating realistic deep fake videos by merging three faces into an example video.
  • 🔗 Click the link in the description to access the page and log into your Google account.
  • 🧩 Utilize the open-source AI tool RP for high-quality outputs, accessible through GitHub.
  • 💻 No high-end graphics card is needed as the process is done in the cloud with Google Colab.
  • 📝 Follow the three segments or cells in the script to run the process sequentially.
  • ⚠️ Be prepared for initial setup that might seem daunting but is straightforward.
  • 🖥️ Run each cell by clicking the play icon and confirming with a green check mark.
  • 📁 Upload your video footage and image by selecting the files and copying their paths.
  • ⏳ Allow time for video upload, which varies based on the clip's length.
  • 📎 Paste the copied paths into the designated areas in the third cell for the video and image.
  • 🔄 After uploading, initiate the final process by clicking the play button in the last cell.
  • 📶 Monitor the process for the 'processing to video succeed' message before downloading.
  • 📹 Download the deep fake video labeled as 'swap.MP4' from the left panel.
  • 🔄 To create another deep fake video, simply upload new files and adjust paths in the third cell.
  • 🎉 The results are three deep fake videos created from the provided images.

Q & A

  • What is the topic of the video tutorial?

    -The topic of the video tutorial is about crafting realistic deep fake videos.

  • What is the ultimate objective of the tutorial?

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

  • Which AI tool is utilized in the tutorial?

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

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

    -The AI tool can be accessed through a link provided in the description of the video, which leads to a page where you can log in with your Google account.

  • What is the advantage of using Google Colab for this process?

    -Using Google Colab for this process allows users to utilize the tool in the cloud without needing a high-end graphics card.

  • How many segments or cells are there in the Google Colab notebook?

    -There are three segments or cells in the Google Colab notebook that need to be run one after the other.

  • What is the first step to start the process in Google Colab?

    -The first step is to take the mouse cursor inside the bracket of the first cell and click the play icon to start the process.

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

    -The time it takes to upload a video in Google Colab varies based on the length of the clip.

  • How can you confirm the successful completion of each cell in Google Colab?

    -You can confirm the successful completion of each cell by looking for a green check mark that appears after each cell has been run.

  • What should you do if your newly created video isn't visible in the left panel?

    -If your newly created video isn't visible in the left panel, you should click the refresh button to update the view.

  • How do you download the deep fake video to your computer?

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

  • What should you do if you want to create another deep fake video?

    -To create another deep fake video, you simply upload your new image and video, adjust their paths in the third cell, and then run the third cell.

Outlines

00:00

🎬 Introduction to Deepfake Video Creation

This paragraph introduces the concept of deepfake videos and challenges viewers to distinguish between real and fake video clips. The main goal is to craft realistic deepfake videos by merging three faces into an example video. The video outlines the process of using an open-source AI tool called RP, accessible through Google Colab, which doesn't require a high-end graphics card. It guides viewers to log in to their Google account, access the tool, and run three sequential segments or cells to create high-quality deepfake videos.

Mindmap

Keywords

💡DeepFake

DeepFake refers to the technology that uses artificial intelligence to create convincing fake videos or images, often by superimposing a person's face or voice onto another's. In the video, DeepFake is the central theme as the tutorial aims to guide viewers on how to create realistic DeepFake videos using face-swapping techniques.

💡Video Face Swap

Video Face Swap is a process where the faces in a video are exchanged with other faces using software. It is a specific application of DeepFake technology. The video script discusses merging three faces into an example video, which is an instance of a face swap.

💡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. In the context of the video, Google Colab is used to run the AI tool RP for creating DeepFake videos without requiring a high-end graphics card.

💡RP (AI Tool)

RP is an open-source AI tool used for creating high-quality DeepFake videos. It is mentioned in the video as the software that the tutorial will use to demonstrate the creation of DeepFake videos. The tool is accessible through GitHub and can be run on Google Colab.

💡GitHub

GitHub is a web-based platform for version control and collaboration that allows developers to work on projects and track changes in code over time. The video script refers to GitHub as the place where viewers can access the repository for the RP tool, which is used for DeepFake video creation.

💡High-Quality Outputs

High-Quality Outputs refer to the end results or products that are of a superior standard in terms of clarity, detail, and realism. The video emphasizes that the RP tool provides high-quality outputs, which is important for creating convincing DeepFake videos.

💡Jupyter Notebook

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

💡Uploading Video Footage

Uploading Video Footage is the process of transferring video files from a local storage to a cloud platform or server, as required by the software to process the video. In the tutorial, viewers are instructed to upload their video and image files to Google Colab for the face-swapping process.

💡Copy Path

Copy Path is an action where the file path of a specific file or folder is copied so that it can be pasted and used elsewhere, such as in a software interface or script. The video script instructs viewers to copy the path of their uploaded video and image files to specify the source and target for the DeepFake process.

💡Processing to Video

Processing to Video refers to the step in the DeepFake creation process where the AI tool takes the uploaded images and videos, processes them, and generates a new video file. The script mentions waiting for the message 'processing to video succeed' to indicate that the DeepFake video is ready.

💡Download Option

The Download Option is a feature that allows users to save files from a platform or service to their local storage. In the context of the video, after the DeepFake video is created, viewers are shown how to use the download option to save the video file to their computers.

Highlights

The tutorial focuses on creating realistic deep fake videos.

The goal is to seamlessly merge three faces into an example video.

The process involves producing three high-quality deep fake videos.

An open-source tool called RP is used, which provides high-quality outputs.

RP can be accessed via GitHub and used in the cloud with Google Colab.

No high-end graphics card is required for this process.

The tutorial guides users through running three segments or cells in Google Colab.

The initial cell may take some time to complete.

After running the second cell, users should confirm successful completion with a green check mark.

Video footage and an image must be uploaded for the face swap.

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

Users need to copy the path of the uploaded video and image files.

The paths are then pasted into the third cell for the source and target.

Running the third cell initiates the deep fake video processing.

Users should wait for the 'processing to video succeed' message before downloading.

The completed deep fake video will be labeled as 'swap.MP4'.

To download the video, users can select the download option from the left panel.

For additional deep fake videos, only the third cell needs to be run after uploading new files.

The tutorial concludes with a request for likes, shares, and subscriptions if the content was helpful.