DEEPFAKE Tutorial: A Beginners face swap Guide without GPU in one click

marat_ai
28 Dec 202306:06

TLDRThe video script introduces a method to create face swaps using a tool called Roop, which is no longer supported but has alternatives available. It guides viewers through the process of using a free virtual machine provided by Google Colab, installing necessary requirements, and downloading the model. The script explains how to upload a source video and an image, set parameters, and execute the face swap using either CUDA or CPU. It also mentions a more user-friendly version available on Patreon and suggests post-processing with stable diffusion or editing software like DaVinci Resolve for improved results.

Takeaways

  • 🎥 The video demonstrates a method to create a face swap using a single image without pre-processing.
  • ⏱️ The process takes approximately 10 minutes to yield a stunning result.
  • 💻 No powerful PC is required for this deepfake creation; it can be done for free.
  • 🚨 The tool 'Roop' is no longer supported by its developer due to some unclear scandal.
  • 🌐 Alternatives to Roop include extensions for Automatic, 11.11, and Gradio UI, but their use is restricted in Google Colab.
  • 🖥️ The tutorial uses a virtual machine in Google Colab, which is free to access.
  • 🛠️ Proper runtime settings are crucial, specifically choosing the T4 GPU for efficient processing.
  • 📂 Downloading the necessary model and files is a prerequisite for creating a face swap.
  • 📋 Parameters can be adjusted for different outputs, including the choice between CUDA and CPU processing.
  • 🎥 Post-processing with stable diffusion and editing software like DaVinci Resolve can enhance the final video quality.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about creating face swaps or deep fakes using a tool called Roop, without the need for a powerful PC or any pre-processing, and for free.

  • Why is the Roop project not supported by the developer?

    -The video does not provide specific details, but it mentions that the Roop project is not supported by the developer due to some scandal that is not very clear.

  • What alternatives are mentioned for creating face swaps?

    -The video mentions alternatives in the form of an extension for Automatic, 11.11, and Gradio UI with a convenient interface, although it notes that the Gradio UI interface is banned in Google Colab.

  • What is the recommended method to avoid issues and save time when creating a face swap?

    -The recommended method is to follow the video instructions carefully, which involve using a virtual machine in Google Colab, installing the necessary requirements, downloading the model, and following the steps to replace the face in a video.

  • How long does it take to install the requirements for the face swap process?

    -It takes about 2 minutes to install the requirements for the face swap process.

  • What are the two execution provider options mentioned in the video?

    -The two execution provider options mentioned are CUDA and CPU, with CUDA allowing the use of a GPU for free, and CPU as an alternative for those without access to a GPU.

  • What is the significance of the 'many faces' parameter?

    -The 'many faces' parameter is important if there are many faces in the video that the user wants to process. It should be specified, but the user should be prepared to wait much longer for the processing to complete.

  • How can the user improve the quality of the processed video?

    -The user can improve the quality of the processed video by extracting frames from the video, processing them in a stable diffusion to fix artifacts, and using editing software like DaVinci Resolve to adjust nuances.

  • Is there a more convenient version of the notebook available?

    -Yes, a more convenient version of the notebook is available on the creator's Patreon, which is easier to use and has a similar, straightforward interface.

  • What other types of content can be found on the creator's Patreon?

    -On the creator's Patreon, users can find many different notebooks that allow them to generate unsensored images, all for free, as these notebooks work in Google Colab or similar free services.

  • What is the final output file name for the face swap video?

    -The final output file name for the face swap video is 'swapped.mp4'.

Outlines

00:00

🎥 Creating a Face Swap with Roop

The paragraph introduces a method for creating face swaps using a tool called Roop. It emphasizes the ease of use, as it requires no pre-processing and can be done with a single image in just 10 minutes. The narrator advises viewers to watch the video in its entirety for full understanding and support. The script mentions that while Roop is no longer supported by its developer, alternatives are available in the form of extensions and interfaces, but cautions that these may be banned in certain environments like Google Colab. A reliable method using a virtual machine in Google Colour with a T4 GPU is suggested, along with instructions for setting up the runtime, installing requirements, and downloading the necessary model and files for the face swap process.

05:02

🌐 Easy and Free Face Swap with Google Colab

This paragraph discusses the ease of using the described method for face swapping, which is accessible for free on platforms like Google Colab. It outlines the steps for selecting the device (CUDA or CPU), adjusting video quality, specifying paths for the video and image, and running the process. The result is a processed video that can be downloaded, and the paragraph suggests further refinements by extracting frames and using stable diffusion or editing software like DaVinci Resolve to fix any artifacts. The narrator also mentions a more convenient version of the notebook available on Patreon.

Mindmap

Keywords

💡Face Swap

Face swap is a technique that involves replacing the face of a person in a video or image with another face. In the context of the video, it is the primary method used to create a deepfake without requiring powerful computing resources. The script mentions using a tool called Roop to achieve this effect, highlighting the ease and accessibility of face swapping technology for general users.

💡Deepfake

A deepfake is a type of media manipulation that uses artificial intelligence, particularly deep learning, to create realistic images, videos, or audio of individuals that did not originally exist or say. In the video, the creation of a deepfake is the end goal, achieved through the process of face swapping. The script emphasizes the ability to create deep fakes without the need for a powerful PC, making this technology more accessible to a wider audience.

💡Roop

Roop is referred to as a simple and highly effective tool in the script, used for creating face swaps. Despite the project not being supported by its developer due to some unclear scandal, it serves as an example of the software that has made face swapping and deepfake creation more accessible to users. The mention of Roop illustrates the availability of tools that facilitate media manipulation without extensive technical knowledge.

💡Virtual Machine

A virtual machine is a software emulation of a computer system that can execute programs like a physical computer. In the video, the use of a virtual machine in Google Colab is highlighted as a means to perform the face swap without needing a powerful local PC. This demonstrates the utility of cloud-based computing resources in facilitating complex tasks that would otherwise require high-end hardware.

💡T4 GPU

T4 GPU refers to a specific type of graphics processing unit designed by NVIDIA that is optimized for deep learning and AI applications. In the context of the video, choosing the T4 GPU as the runtime type in the virtual machine allows for faster processing of the face swap, leveraging the power of GPU acceleration to achieve the desired result more efficiently.

💡Requirements

In the context of the video, 'requirements' refer to the necessary software and libraries that need to be installed in the virtual machine to perform the face swap. These requirements are pre-defined sets of tools and dependencies that enable the execution of the face swapping script and the use of the Roop tool.

💡Model Download

Model download refers to the process of acquiring the necessary AI models for the face swapping process. In the video, downloading the model is a crucial step before executing the face swap, as it contains the algorithms and data needed to perform the deepfake effectively.

💡Source Video and Image

The source video and image are the original materials used for the face swap. The video contains the target face that will be altered, while the image provides the face that will replace the original one in the video. These are the primary inputs for the face swapping process and are crucial for achieving a realistic deepfake.

💡Command Line

The command line is a text-based interface used to execute commands that control the computer's operations. In the video, specifying the location to the files in the command line is a technical step required to direct the face swapping process to the correct source video and image files.

💡Parameters

Parameters in this context are the adjustable settings used in the face swapping process to customize the output. These can include options like the execution provider (CUDA or CPU), frame processor (phase swapper or enhancer), and output video encoder. The parameters allow users to fine-tune the process according to their needs and available resources.

💡Patreon

Patreon is a platform that allows creators to receive financial support from their audience, or patrons, on a subscription basis. In the video, the creator mentions a more convenient version of the notebook available on Patreon, indicating that there are additional resources and easier-to-use tools for those who support the creator financially.

💡Google Colab

Google Colab is a cloud-based platform offered by Google that allows users to write and execute Python code in a virtual machine, providing a free and accessible environment for machine learning and data analysis projects. The video script mentions using Google Colab as the platform to perform the face swap, highlighting its utility for AI-related tasks without the need for local computing resources.

Highlights

By the end of this video you can create a deep fake without a powerful PC and even for free.

The result was obtained using just one image, without any pre-processing, and with only 10 minutes of waiting.

To create a face swap, a simple and highly effective tool called Roop will be used.

Roop is not supported by the developer due to some scandal, but alternatives have emerged.

Alternatives include an extension for Automatic, 11.11, and Gradio UI with a convenient interface.

The Gradio UI interface is unfortunately banned in Google Colab.

A simple and reliable method will be offered that is likely to work without any problems.

Google provides a free virtual machine in Google Colour.

The proper runtime should be set by choosing T4 GPU for efficient processing.

The process involves installing requirements and downloading the model.

All needed files for creating a face lab should be added, including the source video and image.

The file locations should be specified in the command line.

Parameters such as execution provider (CUDA or CPU), frame processor, and output video encoder can be adjusted.

Skipping audio can be done by removing the relevant code.

The 'many faces' parameter can be specified if there are multiple faces to process in the video.

A more convenient version of the notebook is available on Patreon.

The video can be processed with one click, yielding solid results.

Extracted frames from the video can be further processed in stable diffusion to fix artifacts.

Editing software like DaVinci Resolve can be used to adjust artifacts and nuances in the video.

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