DeepFaceLab 2.0 Easy Tutorial | Part 1 [ 2023 ]

The speaker introduces the video tutorial on how to use DeepFaceLab, a deepfaking software. They explain that DeepFaceLab is available for download from their official website, deepfakevfx.com, and can be accessed through various methods including GitHub, torrent, and MEGA. The tutorial focuses on downloading the software using MEGA and selecting the appropriate build based on the user's GPU. The speaker also mentions that they will provide links in the video description for further assistance. They briefly touch on the software's capability to convert any face from a source to a destination and plan to cover advanced topics in a future video.

The tutorial proceeds with setting up DeepFaceLab by extracting the downloaded files to a chosen location. The speaker guides viewers through the initial setup, explaining the roles of 'data destination' and 'data source' folders. They also discuss the importance of selecting the right model file, which can be downloaded from the face VFX website to speed up the deepfaking process. The video covers the steps of clearing the workspace, extracting images from the source, and setting the FPS and image format. The speaker emphasizes the impact of a powerful GPU on the speed of the extraction process and provides guidance on how to handle different frame rates and image resolutions.

The speaker continues the tutorial by explaining how to extract images from the destination folder, which is crucial for ensuring smooth deepfake results. They then guide viewers through the process of using the 'data source facer extract' feature to detect and extract faces from the source data. The tutorial covers various options for face extraction, including whole face and head options, and the speaker provides tips on optimizing settings based on the user's GPU capabilities. They also discuss the importance of image resolution in the extraction process and how it affects the quality of the final deepfake. The segment ends with the speaker demonstrating the face extraction process and providing real-time feedback on the progress.

The speaker introduces the training phase of creating a deepfake, where they explain the process of training a model from scratch versus using a pre-trained model. They warn that training a model from scratch is time-consuming but provide a step-by-step guide on how to do so, including naming the model and setting various training parameters. The tutorial covers the importance of choosing the right batch size, resolution, and model architecture for optimal training results. The speaker also discusses the use of the 'DF' model for better results and provides insights on other settings like encoder dimensions and optimizers. They conclude this segment by demonstrating the training preview and explaining the significance of various metrics displayed during the training process.

The final segment of the tutorial focuses on the last steps of creating a deepfake video. The speaker demonstrates how to merge the extracted faces with the source video and convert the result into an MP4 file. They explain the importance of selecting the right model and settings for the merging process and provide a quick overview of the default options. The tutorial concludes with the speaker showcasing the initial results of the deepfake, emphasizing that the quality can be significantly improved with more training time and better hardware. They also tease upcoming videos that will cover advanced topics and techniques for creating high-quality deepfakes.