DEEPFAKE Tutorial: A Beginners face swap Guide without GPU in one click
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
🎥 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.
🌐 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
💡Deepfake
💡Roop
💡Virtual Machine
💡T4 GPU
💡Requirements
💡Model Download
💡Source Video and Image
💡Command Line
💡Parameters
💡Patreon
💡Google Colab
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.