Face Swapping in ComfyUI with LoRA (ADetailer/FaceDetailer Guide)

My AI Force
25 Apr 202409:08

TLDRThis tutorial walks you through the process of face swapping in ComfyUI using LoRA (ADetailer/FaceDetailer). It starts with the installation of necessary tools and setting up a workflow with nodes like E-Dot Loader XXL and P Sampler. The guide then focuses on using the Alteristic Detector for face detection and Sam Loader for image segmentation. The key part is swapping faces smoothly with Face Detailer, adjusting settings like feather and bbox crop factor for optimal results. The video concludes with a comparison of before and after face swap images, demonstrating the effectiveness of the process.

Takeaways

  • 😀 The tutorial focuses on face swapping in ComfyUI using LoRA (ADetailer/FaceDetailer).
  • 🔧 You need a LoRA model trained specifically on headshots of the person for accurate face swapping.
  • 💻 Start by installing necessary tools in ComfyUI, including the Efficiency Nodes and the ComfyUI Impact Pack.
  • 🔗 Build a workflow in ComfyUI using SDXL, which simplifies loading checkpoints, prompts, and setting image sizes.
  • 🖼️ Use a Key Sampler to generate images with the desired settings.
  • 👤 Integrate Alteristic Detector for face detection, opting for BBOX Slice YOLO v8m for its effectiveness.
  • 🎭 Employ SAM Loader for image segmentation, selecting the model that includes 'L' for better results.
  • 🔄 Swap faces smoothly using the Face Detailer node, akin to ADetailer in Automatic1111.
  • 🛠️ Adjust settings in Face Detailer such as feather, bbox crop factor, and bbox dilation for optimal face swapping.
  • 📈 Compare the original and swapped images side by side to evaluate the effectiveness of the face swap.

Q & A

  • What is the main focus of the video?

    -The main focus of the video is to demonstrate how to perform face swapping in ComfyUI using LoRA (ADetailer/FaceDetailer).

  • What is LoRA and how is it used in the video?

    -LoRA is a custom-trained model used for face swapping in images. In the video, it is used to create a face that looks like the model, which can then be swapped onto any image to enhance AI photography.

  • What tools are required to perform face swapping in ComfyUI as per the video?

    -The tools required include ComfyUI, EfficientNOS, Impact Pack, E. Loader XXL, P Sampler SdXL, Alteristic Detector Provider, and Face Detailer.

  • Why is EfficientNOS installed in the workflow?

    -EfficientNOS is installed to streamline the process by combining loading checkpoints, prompts, and setting the image size all in one place.

  • What is the role of the Alteristic Detector Provider in the face swapping process?

    -The Alteristic Detector Provider is used to detect faces and human bodies, with the B box slice yolow v8m model being chosen for its effectiveness in face detection.

  • How does the Sam Loader contribute to the face swapping workflow?

    -Sam Loader is used for image segmentation, which helps in separating the detected faces from the bounding box for the face swapping process.

  • What is the purpose of the Face Detailer in the workflow?

    -The Face Detailer is used to smoothly swap the faces in the images, and it requires different checkpoint PRS and the ability to use the trained LoRA for effective face swapping.

  • How can one preview the face swapping result in ComfyUI?

    -To preview the face swapping result, one can drag out the node to preview the image, connect the mask ports using a 'convert mask to image' node, and then use a 'prev image' node to compare the before and after effects visually.

  • What adjustments can be made in Face Detailer to improve the face swap quality?

    -Adjustments such as increasing the feather option, adjusting the B box crop factor, and modifying settings like bbox dilation and S bbox expansion can be made to improve the quality of the face swap.

  • What is the significance of the B box in the face swapping process?

    -B box, which stands for bounding box, is significant as it is used to define the area around the face for detection and cropping, which is crucial for accurate face swapping.

Outlines

00:00

🎥 Introduction to Face Swapping in Confy UI

The video begins with a welcome to the channel and a brief mention of a previous video about swapping faces in images using a detail extension. The host then introduces the topic of the current video, which is performing face swaps in Confy UI. The aim is to use a custom-trained model, referred to as 'Laura,' to create a face that resembles the model and then swap this face onto any individual, enhancing AI photography. The video promises to demonstrate the process step by step.

05:04

🛠️ Setting Up Tools for Face Swapping in Confy UI

The video proceeds to guide viewers on how to set up the necessary tools for face swapping in Confy UI. It starts with the installation of custom nodes, specifically the 'Efficiency' nodes and the 'Impact Pack' from Confy UI. After installation, the host advises restarting Confy UI to ensure proper setup. The tutorial then moves on to building a workflow for generating images using 'sdxl' and 'key sampler' nodes, which are connected to set up checkpoint prompts and image settings. The video demonstrates generating an image and assesses the outcome before moving on to the face swapping part of the tutorial.

Mindmap

Keywords

💡Face Swapping

Face swapping is a digital technique used to replace the face of one person in a photo or video with the face of another. In the context of the video, face swapping is achieved using AI and machine learning models to create realistic and seamless exchanges of facial features. The script describes a process where a custom-trained model named 'LoRA' is used to swap faces in images, enhancing AI photography by allowing users to replace a face with one that looks just like their model.

💡LoRA

LoRA, mentioned in the script, refers to a custom-trained model that is used for face swapping. It is specifically trained on headshots of a person to create a face that closely resembles the model. This model is crucial for the face swapping process as it ensures the accuracy and realism of the swapped face, taking AI photography to a higher level of detail and customization.

💡ComfyUI

ComfyUI is a user interface mentioned in the script where the face swapping process is demonstrated. It is a platform that allows users to install custom nodes and manage workflows for generating images. The video walks viewers through the steps of using ComfyUI to set up a workflow for face swapping, highlighting its role in the AI-driven image editing process.

💡Custom Nodes

Custom nodes are additional tools or modules that can be installed in ComfyUI to enhance its functionality. The script instructs viewers to install 'Efficiency' nodes and the 'Impact Pack' to facilitate the face swapping process. These nodes are essential for loading checkpoints, setting image sizes, and generating images, which are all part of the workflow for creating a face swap.

💡E.fficient Loader

The E.fficient Loader is a node in ComfyUI that simplifies the process of loading checkpoints, prompts, and setting image sizes. It is used in the video to streamline the workflow for generating images with specific characteristics, such as the face that will be swapped. The script emphasizes its convenience by combining multiple functions into one node.

💡Key Sampler

Key Sampler is a node used in the workflow to generate images based on the settings and prompts provided. It is connected to the E.fficient Loader and is responsible for producing the initial image that will undergo face swapping. The script describes how to set up the Key Sampler and connect it to other nodes for a seamless workflow.

💡Alteristic Detector

Alteristic Detector is a module in ComfyUI that offers various models for detecting faces and human bodies. The script specifies using 'B box slice yolow v8m' as the model for face detection, which uses a bounding box to identify the face area. This detection is a critical step before the face swapping can occur, ensuring that the face to be swapped is accurately identified.

💡Image Segmentation

Image segmentation is the process of separating the detected face from the rest of the image. In the video, 'Sam Loader' is used for this purpose, which is an image segmentation model developed by Meta (formerly Facebook). The script explains how to choose the appropriate model for segmentation, which is essential for isolating the face for the swapping process.

💡Face Detailer

Face Detailer is a node in ComfyUI that is analogous to the 'A Detailer' in Automatic 1111. It is used to smoothly swap faces in images. The script describes how to set up Face Detailer to use different checkpoint PRS and to perform the face swapping using the custom-trained LoRA model. This node is central to the face swapping process, ensuring that the new face integrates well with the original image.

💡Output Ports

Output ports in ComfyUI are used to view the results of the image processing. The script guides viewers on how to use output ports to preview the image after face swapping, including the mask used for the swap and the processed face mask. These ports allow for visual comparison before and after the face swap, helping to assess the effectiveness of the process and make any necessary adjustments.

Highlights

Introduction to face swapping in ComfyUI with LoRA (ADetailer/FaceDetailer Guide).

Using a custom trained Laura to swap faces in images for AI photography.

Installation of necessary tools in ComfyUI for the face swapping process.

Instructions on installing custom nodes and restarting ComfyUI for setup.

Building a workflow to generate images using Sdxl.

Combining loading checkpoints, prompts, and image size settings in one node.

Adding a key sampler to generate images and setting up checkpoint, prompt, and other settings.

Using the Alteristic Detector for face detection with B box slace yolow v8m model.

Explanation of B box and its role in face detection.

Separating detected faces from the bounding box using an image segmentation node.

Details on Sam loader and its role in image segmentation.

Setting up face swapping using Face Detailer node, similar to A Detailer in Automatic 111.

Connecting nodes for face swapping and ensuring compatibility with different checkpoints.

Fine-tuning settings in Face Detailer for effective face swapping.

Previewing the face swap result and comparing before and after images.

Troubleshooting tips for face swapping issues, such as adjusting the feather and bbox crop factor.

Conclusion and call to action for viewers to like and follow for more tutorials.

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