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, without the need for a powerful PC or pre-processing. It highlights the ease of using a virtual machine in Google Colab with a T4 GPU for efficient processing. The script guides through the installation of requirements, downloading the model, and setting up the files for the face swap. It also mentions the possibility of using alternative interfaces and the importance of being cautious due to potential bans. The video emphasizes the convenience of the process, with adjustable parameters and the option to use either CUDA or CPU, and suggests a more user-friendly version available on Patreon. The end result is a high-quality swapped video that can be further refined with editing software.

Takeaways

  • 🎥 The video demonstrates a method to create a face swap using just one image without pre-processing.
  • ⏱️ The process takes approximately 10 minutes to complete.
  • 💻 No powerful PC is required, and the process can be done for free.
  • 🛠️ A tool called Roop is used for face swapping, but it's no longer supported by its developer.
  • 🔄 Alternatives to Roop include extensions for Automatic, 11.11, and Gradio UI, but they cannot be used in Google Colab.
  • 🌐 Google Colab provides a free virtual machine to run the process.
  • 🔧 Proper runtime settings are required, specifically choosing the T4 GPU for optimal performance.
  • 📂 The user needs to download the necessary model and files, including the source video and target image.
  • 📝 Parameters can be adjusted for the execution, including the choice between CUDA (using GPU) and CPU.
  • 🎥 Post-processing with stable diffusion and editing software like DaVinci Resolve can improve the final output.

Q & A

  • What is the end result of the process described in the video?

    -The end result is the creation of a face swap or deepfake video, where a face from an image is replaced onto a video without the need for a powerful PC or pre-processing.

  • How long does it take to achieve the result shown in the video?

    -The process takes approximately 10 minutes of waiting to achieve the result.

  • What tool is recommended for creating a face swap in the video?

    -The tool recommended for creating a face swap is called Roop.

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

    -The video does not provide specific details, but mentions that there was some scandal which led to the lack of support for the Roop project.

  • What are the alternatives to Roop mentioned in the video?

    -The alternatives mentioned are extensions for Automatic, 11.11, and Gradio UI, which offer a convenient interface.

  • Why is the Gradio UI interface banned in Google Colab?

    -The exact reason is not specified in the video, but it is mentioned that using such interfaces can lead to getting banned in Google Colab.

  • How can one avoid getting banned when using these tools?

    -The video advises to be careful when opening notebooks that use these tools, as they may lead to bans in certain platforms like Google Colab.

  • What is the recommended method for creating a face swap?

    -The video suggests using a virtual machine in Google Colab and following a step-by-step process that involves installing requirements, downloading the model, and using specific parameters for processing.

  • What type of runtime should be chosen in the Google Colab virtual machine?

    -The recommended runtime type to choose is T4 GPU, which is available for free.

  • What are the parameters that can be adjusted in the face swap process?

    -Adjustable parameters include the execution provider (CUDA or CPU), frame processor (phase swapper or phase enhancer), output video encoder, time frame quality, and whether to skip audio or process multiple faces.

  • How can one improve the quality of the final video?

    -One can improve the quality by using editing software like DaVinci Resolve to adjust artifacts and nuances, or by extracting frames from the video and processing them in stable diffusion to fix any artifacts.

  • Is there an easier version of the notebook described in the video?

    -Yes, a more convenient version of the notebook is available on the creator's Patreon, which simplifies the process and is designed to be easy to use.

Outlines

00:00

🎥 Introduction to Face Swapping with Roop

This paragraph introduces the viewer to the concept of face swapping using a tool called Roop. It emphasizes the ease of creating a deepfake without the need for a powerful PC or any pre-processing, and highlights the short waiting time of just 10 minutes. The speaker encourages viewers to watch the video to the end for full understanding and support. The paragraph also mentions that while Roop is no longer supported due to some unclear scandal, alternatives are available in the form of extensions and UIs, although some are banned in Google Colab. A reliable method is offered, which involves using a virtual machine in Google Colour and installing necessary requirements. The process of downloading the model and the files needed for the face swap is detailed, including the addition of the source video and image, specifying file locations, and adjusting parameters for execution. The paragraph concludes by mentioning a more convenient version of the notebook available on the speaker's Patreon.

05:02

🚀 Easy Face Swapping with Free Services

This paragraph discusses the ease of using the provided notebook for face swapping, which is accessible for free on platforms like Google Colab. It outlines the simple steps of choosing the device (CUDA or CPU), adjusting output video quality, specifying video and image paths, and running the process. The result is a processed video that can be downloaded, and the speaker suggests further refinements by extracting frames, using stable diffusion to fix artifacts, and editing with software like DaVinci Resolve. The paragraph concludes by praising the notebook for yielding solid results with just a single click.

Mindmap

Keywords

💡Face Swap

Face swap is a technique that involves replacing a person's face in a video or image with another person's face. In the context of the video, it is the primary method used to create a deepfake without requiring powerful computing resources. The script describes a simple and effective tool called Roop, which facilitates this process, allowing users to swap faces with minimal technical expertise and in a short amount of time.

💡Deepfake

A deepfake is a type of media manipulation that uses artificial intelligence, particularly deep learning, to create realistic images, videos, or audio of people doing or saying things they never did. The video script highlights that creating a deep fake can be accomplished without a powerful PC and for free, using the mentioned tool Roop. The term is often associated with ethical concerns due to its potential for misuse, which is alluded to in the script by mentioning the project's discontinuation by the developer.

💡Roop

Roop is referred to as a simple and highly effective tool in the script, which is used for face swapping. It is a software that presumably automates the process of creating deepfakes by replacing faces in videos with other images. The script mentions that despite the discontinuation of support for Roop due to some unclear scandal, alternatives have emerged, indicating the ongoing development and availability of similar tools.

💡Virtual Machine

A virtual machine is a software emulation of a computer system. In the video script, the use of a virtual machine in Google Colab is described as a means to access a T4 GPU for free, which is necessary for the face swapping process. The virtual machine allows users to run computationally intensive tasks without needing to install the required software or hardware on their local machines.

💡T4 GPU

The T4 GPU is a type of graphics processing unit (GPU) designed by NVIDIA for use in cloud computing and artificial intelligence applications. In the context of the video, the T4 GPU is selected as the runtime type in the Google Colab virtual machine to accelerate the face swapping process. GPUs are known to process parallel computations much faster than traditional CPUs, making them ideal for tasks like image and video processing.

💡Requirements Installation

In the script, 'requirements installation' refers to the process of setting up the necessary software dependencies for the face swapping tool to function. This typically involves installing libraries, frameworks, or other software components that the tool relies on. The script mentions that this step takes about two minutes to complete, indicating that it is a straightforward process within the virtual machine environment.

💡Model Download

The term 'model download' in the context of the video refers to obtaining the specific AI model needed for the face swapping process. This model is likely a pre-trained neural network that has learned to perform face swaps effectively. The script outlines that this model must be downloaded before proceeding with the face swap, emphasizing it as a crucial step in the process.

💡Source Video and Image

The 'source video and image' are the original materials that the user intends to manipulate using the face swapping tool. The video contains the target face that will be replaced, while the image contains the face of the person to be superimposed onto the video. The script provides instructions on how to upload these files into the virtual machine environment for processing.

💡Command Line

The command line, also known as the command prompt or terminal, is a text-based interface for interacting with the operating system. In the video script, the command line is used to specify the locations of the source video and image files for the face swapping process. It is a critical component of the process, as it allows the user to input specific instructions and parameters to control the execution of the face swap.

💡CUDA

CUDA, or Compute Unified Device Architecture, is a parallel computing platform and programming model developed by NVIDIA. It allows developers to use NVIDIA GPUs for general purpose processing. In the context of the video, CUDA is chosen as the execution provider for the face swap process, enabling the use of the GPU to accelerate the computation. This is a more efficient option compared to using a CPU, especially for tasks like image processing that can take advantage of the GPU's parallel processing capabilities.

💡Parameters Adjustment

Parameters adjustment refers to the process of fine-tuning the settings of the face swapping tool to achieve the desired output. The script mentions several adjustable parameters such as the execution provider (CUDA or CPU), frame processor (phase swapper or enhancer), and output video encoder. These parameters can be customized based on the user's needs, such as the quality of the output video or whether to skip audio. Adjusting parameters is essential for optimizing the performance and outcome of the face swap.

💡Artifacts

In the context of the video, artifacts refer to any visible anomalies or distortions in the final output video that may result from the face swapping process. These could be inconsistencies in lighting, facial expressions, or other visual elements that stand out as not being natural to the original video. The script suggests post-processing steps, such as using editing software like DaVinci Resolve or stable diffusion techniques, to fix or reduce these artifacts and improve the overall quality and realism of the swapped face.

Highlights

By the end of this video you can create something like this.

The result you just seen was obtained using just one image, without any pre-processing.

With just 10 minutes of waiting, it's just stunning!

You can replace a face, create a deep fake without a powerful PC and even PC at all, for free.

To create a face swap we will use a simple and highly effective tool called Roop.

Alternatives have already emerged in the form of an extension for Automatic, 11.11 and Gradio UI with a convenient interface.

We are in a virtual machine in Google Colour.

Google gives you a virtual machine for free.

To set proper runtime, choose T4 GPU.

It takes about 2 minutes to install our requirements.

Download the model and all needed files for creating a face lab.

Specify location to our file in command line.

Choose between CUDA and CPU for execution provider.

The video has just been processed and can be downloaded.

Extract frames from video and process them in a stable diffusion to fix the face.

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

This notebook works in Google Colab or similar free services.