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

marat_ai
28 Dec 202306:06

TLDRThis video tutorial demonstrates a simple and efficient method for creating face swaps using a tool called Roop, without the need for a powerful PC or pre-processing. It highlights the use of Google Colab's free virtual machine with a T4 GPU for model installation and execution. The process involves downloading necessary files, setting command line parameters for execution, and offers options for both CUDA and CPU processing. The video also mentions the potential for further refinement using editing software like DaVinci Resolve and stable diffusion for artifact correction, emphasizing the ease of use and accessibility of this method for creating high-quality face swap videos.

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 yield a result.
  • 💻 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 their use is restricted in some platforms like Google Colab.
  • 🌐 Google Colab provides free virtual machines, including T4 GPU, for running the face swap process.
  • 📋 The video outlines the steps to set up the runtime environment, install requirements, and download necessary files and models.
  • 🖼️ Users need to upload a source video and a target image for the face swap.
  • 🔧 Parameters such as execution provider (CUDA or CPU), frame processor, and output video encoder can be adjusted according to user needs.
  • 📹 The final output is a video file where the face has been swapped, which can be further refined using other software like DaVinci Resolve.
  • 🎉 The video creator offers a more convenient version of the notebook on Patreon, which simplifies the process and allows for generating unsensored images for free.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about creating a face swap or deep fake using a tool called Roop, without the need for a powerful PC and for free.

  • Why is the project that uses Roop no longer supported by its developer?

    -The project is not supported by its developer due to some scandal, the details of which are not clear in the script.

  • What alternatives have emerged for creating face swaps?

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

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

    -The script does not provide a specific reason, but it mentions that the interface is banned, possibly due to policy violations or misuse concerns.

  • How does one access the virtual machine in Google Colab?

    -To access the virtual machine, one should open the link provided under the video and follow the steps to set up the runtime and install the necessary requirements.

  • What type of runtime should be chosen in Google Colab for this task?

    -For this task, one should choose the T4 GPU runtime type in Google Colab to utilize the GPU for processing.

  • What are the required steps to install the necessary requirements for face swapping?

    -To install the requirements, one should choose the appropriate cell in the Colab notebook and press the run button, which takes about two minutes to complete.

  • How long does it take to download the model for face swapping?

    -The model for face swapping takes about two minutes to download.

  • What files are needed to create a face swap?

    -The required files include the source video and the image of the face to be swapped.

  • What parameter can be adjusted if needed in the face swapping process?

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

  • How can one obtain the final processed video?

    -After running the process with the specified parameters, the final video can be downloaded by pressing the download button in the Colab notebook.

Outlines

00:00

🎥 Face Swap with Roop and Google Colab

This paragraph introduces a method for creating face swaps using a tool called Roop, emphasizing its ease of use and the fact that it requires no pre-processing or powerful hardware. It also mentions the potential for getting banned in Google Colab due to the nature of the project and offers an alternative approach using a virtual machine in Google Colour with a T4 GPU. The paragraph outlines the steps for setting up the environment, installing requirements, downloading the model, and preparing the necessary files for the face swap process. It also discusses parameters that can be adjusted for the swap, such as execution provider (CUDA or CPU), frame processor, and output video encoder. The importance of skipping the parameter for processing multiple faces is noted, as it would significantly increase processing time.

05:02

🆓 Easy and Free Face Swap Notebooks

The second paragraph discusses the availability of free notebooks for face swapping, which can be used in Google Colab or similar services. It highlights the simplicity of these notebooks, where users can choose their device (CUDA or CPU), adjust the output video quality, specify video and image paths, and run the process with a single click. The paragraph also mentions the possibility of extracting frames from the processed video and using stable diffusion to fix any artifacts, as well as editing software like DaVinci Resolve for further adjustments. The focus is on achieving solid results with minimal effort and the convenience of these free resources.

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 or extensive pre-processing. The script describes a simple process for performing a face swap using a tool called Roop, which is accessible through a virtual machine in Google Colab, demonstrating how it can be done with minimal technical expertise and resources.

💡Deepfake

A deepfake is a type of media manipulation that uses artificial intelligence, particularly deep learning, to create realistic but faked images, videos, or audio of individuals. In the video, the term is used to describe the end result of the face swap process, where the original face in a video is replaced with another person's face in a convincing manner. The script emphasizes that creating a deepfake can be done without a powerful PC and for free, making it accessible to a wider audience.

💡Roop

Roop is a tool or software mentioned in the video that is used for creating face swaps. It is described as simple and highly effective, despite the project not being supported by its developer due to some unspecified scandal. The script suggests that alternatives to Roop have emerged, but the focus remains on using Roop within a virtual machine provided by Google Colab, which offers a free environment for carrying out the face swap process.

💡Google Colab

Google Colab is a cloud-based platform offered by Google that allows users to run Python code in a virtual machine for free. It is highlighted in the script as the environment where the face swap tool Roop can be accessed and utilized. The use of Google Colab is significant as it removes the need for users to have powerful hardware to perform the face swap, making the process more accessible and cost-effective.

💡T4 GPU

T4 GPU refers to a specific type of graphics processing unit (GPU) designed by NVIDIA, which is optimized for deep learning and AI applications. In the context of the video, selecting the T4 GPU as the runtime type in Google Colab allows users to utilize the power of this GPU for free to accelerate the face swap process, resulting in faster and more efficient computation.

💡Requirements

In the context of the video, 'requirements' refer to the necessary software packages or libraries that need to be installed in the virtual machine to run the face swap tool, Roop. These requirements are pre-defined sets of code or dependencies that ensure the smooth operation of the tool and are installed by following the script's instructions.

💡Model

In the context of the video, the 'model' refers to the underlying AI or machine learning model that powers the face swap tool, Roop. This model is responsible for the actual processing and generation of the deepfake by learning from the input image and video to produce a realistic face swap.

💡Source Video

The 'source video' is the original video from which the face is to be replaced in the face swap process. It is the input material that will be altered using the tool, Roop, to create the deepfake. The quality and content of the source video can significantly impact the final result of the face swap.

💡Source Image

The 'source image' is the photograph or image of the face that will be used to replace the face in the source video during the face swap process. It is a critical component as the quality and resolution of the image can affect the realism and accuracy of the final deepfake.

💡CUDA

CUDA, or Compute Unified Device Architecture, is a parallel computing platform and programming model developed by NVIDIA. It allows developers to use GPUs, like the T4, for general-purpose processing. In the video, choosing CUDA as the execution provider means utilizing the GPU to accelerate the computation for the face swap, resulting in faster and more efficient processing compared to using a CPU.

💡Parameters

Parameters in this context refer to the various settings and options that can be adjusted within the face swap tool to customize the output of the deepfake. These can include the choice of execution provider (CUDA or CPU), frame processor (phase swapper or enhancer), output video encoder, and other settings that affect the quality and processing time of the final video.

💡Patreon

Patreon is a platform that allows creators to offer exclusive content and services to their supporters or patrons for a monthly fee. In the video, the creator mentions a more convenient version of the notebook available on Patreon, suggesting that it provides an easier and more streamlined process for creating deepfakes. This implies that patrons receive additional benefits and a better user experience.

Highlights

By the end of this video you can create something like this, showcasing the potential of face swapping technology.

The result was obtained using just one image, without any pre-processing, highlighting the simplicity of the process.

With only 10 minutes of waiting, the process is quick and efficient.

It's possible to create a deep fake without a powerful PC, and even for free, making the technology accessible to many.

The tool Roop is mentioned as a simple and highly effective tool for face swapping, despite not being supported by the developer.

Alternatives to Roop have emerged in the form of extensions for Automatic, 11.11, and Gradio UI, though they may face restrictions.

A method using Google Colab and a virtual machine in Google Colour is offered as a reliable alternative.

The importance of setting the proper runtime, specifically choosing T4 GPU for efficient processing, is emphasized.

Instructions on installing requirements and downloading the model are provided for a seamless setup process.

The process of adding source video and image files, and specifying their locations for the face swap, is detailed.

Parameters such as execution provider, frame processor, and output video encoder are discussed for customization.

The option to skip audio is mentioned for those who do not require it in their output.

The importance of the 'many faces' parameter is highlighted for processing multiple faces in a video.

A more convenient version of the notebook is available on Patreon, offering an easier and more straightforward experience.

The video demonstrates the capability of the technology to produce high-quality results with just a few clicks.

The potential to extract frames from the video and process them in stable diffusion for further refinement is mentioned.

The use of editing software like DaVinci Resolve to adjust artifacts and nuances in the video is suggested for perfectionists.

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