Face Swapping in ComfyUI with LoRA (ADetailer/FaceDetailer Guide)
TLDRIn this tutorial, viewers are guided through the process of face swapping in ComfyUI using LoRA (ADetailer/FaceDetailer). The presenter explains how to install necessary tools, set up a workflow with nodes for image generation and face detection, and fine-tune settings for seamless face swapping. The video also demonstrates how to preview and compare the before-and-after results, ensuring a high-quality output. Tips for adjusting settings to fix common issues are provided, making it an informative watch for AI photography enthusiasts.
Takeaways
- 😀 The video provides a tutorial on face swapping in ComfyUI using LoRA (ADetailer/FaceDetailer).
- 🔧 To begin, you need a LoRA model trained specifically on headshots of the person whose face you want to use.
- 💻 After training, use this model to create a face that closely resembles your subject, enhancing AI photography.
- 🛠️ Install necessary tools in ComfyUI, including 'Efficiency' nodes and 'Impact Pack' to set up the workflow.
- 🔍 Use 'E.fficient loader XXL' to load checkpoints, prompts, and set image size in one step.
- 🖼️ For image generation, connect 'E.fficient loader XXL' with 'P.Sampler Sdxl' and set up checkpoint, prompt, and other settings.
- 👤 Implement 'Alteristic Detector Provider' with 'B box slace yolow v8m' for effective face detection using bounding boxes.
- 🎭 Use 'SamLoader' for image segmentation to separate detected faces from the bounding box.
- 🔄 Set up 'Face Detailer' as the key node for face swapping, ensuring it can use different checkpoints and LoRA models.
- 📸 Compare the original and swapped faces visually using 'Preview Image' nodes to assess the effectiveness of the swap.
- 🛡️ Adjust settings like 'feather', 'bbox crop factor', and 'bbox dilation' in 'Face Detailer' to refine the face swapping results.
Q & A
What is the main topic of the video?
-The main topic of the video is how to perform face swapping in ComfyUI using LoRA (ADetailer/FaceDetailer Guide).
What is LoRA and how is it used in the video?
-LoRA is a custom-trained model used to swap faces in images. In the video, it is used to create a face that looks like the model, which can then be swapped onto any person.
What are the necessary tools mentioned for setting up the workflow in ComfyUI?
-The necessary tools mentioned are the installation of the 'Efficiency' nodes and the 'ComfyUI Impact Pack', followed by a restart of ComfyUI.
How does the video guide the user to generate images using Sdxl?
-The video guides the user to generate images using Sdxl by using the 'E dot loader XXL' node, which combines loading checkpoints, prompts, and setting the image size.
What is the purpose of the 'Alteristic Detector Provider' module in the workflow?
-The 'Alteristic Detector Provider' module is used to detect faces and human bodies within images, with 'B box slace yolow v8m' being the recommended model for face detection.
What does the 'Sam loader' node do in the workflow?
-The 'Sam loader' node is used for image segmentation, separating the detected faces from the bounding box using a model developed by Meta.
How is the 'Face Detailer' node utilized in the face swapping process?
-The 'Face Detailer' node is used to swap faces smoothly by connecting it with the image output from the 'Key Sampler' and the model output from the 'Efficient Loader'.
What additional settings can be adjusted in 'Face Detailer' to improve the face swap result?
-Settings such as 'feather', 'bbox crop factor', 'bbox dilation', and 's bbox expansion' can be adjusted to improve the face swap result and reduce visible seams.
How does the video help the user compare the before and after effects of the face swap?
-The video instructs the user to drag out 'prev image' nodes from both the 'Key Sampler' in Sdxl and the 'Face Detailer' to visually compare the effects before and after the face swap.
What is the final step shown in the video for completing the face swap?
-The final step shown is clicking the 'Q prompt' button to generate the preview image of the mask used for the face swap and comparing it to the original.
Outlines
🎥 Getting Started with Face Swapping in Confy UI
This paragraph introduces the tutorial on using Confy UI to swap faces in images, similar to the previous tutorial on using the 'a detail' extension. The focus is on creating a face that resembles the model using a custom train, 'Laura,' and then applying this face to any subject to enhance AI photography. The tutorial begins by guiding viewers to install necessary tools in Confy UI, specifically the 'Efficiency Nodes' and the 'Impact Pack.' It then demonstrates setting up a workflow by installing and connecting nodes such as 'E dot loader XXL' and 'P sampler' to generate images. The paragraph concludes with a successful image generation, setting the stage for the face swapping process.
🔍 Advanced Face Swapping with Custom Nodes and Settings
The second paragraph delves into the intricacies of setting up the face swapping process using specific nodes and configurations within Confy UI. It starts by explaining the need for additional 'Efficient Loaders' that support different models and the importance of using 'train Laura' for face swapping. The tutorial then guides viewers through connecting nodes for face detection, segmentation, and swapping, emphasizing the use of 'alteristic detector provider' and 'Sam loader' for effective detection and segmentation. The paragraph also covers fine-tuning the process by setting up checkpoint prompts and adjusting settings like 'feather' and 'bbox crop factor' for a seamless face swap. The tutorial concludes with a visual comparison of the before and after face swap images, demonstrating the effectiveness of the process and offering tips for troubleshooting common issues.
Mindmap
Keywords
💡Face Swapping
💡LoRA
💡ComfyUI
💡Custom Nodes
💡E.fficient Loader
💡Key Sampler
💡Alteristic Detector
💡Image Segmentation
💡Face Detailer
💡Feather Option
Highlights
Introduction to face swapping in ComfyUI using LoRA (ADetailer/FaceDetailer Guide).
Requirement of having a LoRA model trained specifically on headshots of the person for face swapping.
Installation of custom nodes in ComfyUI for efficient workflow setup.
Use of E-Dot Loader XXL for combining checkpoint loading, prompts, and image size settings.
Integration of P Sampler Sdxl for image generation.
Setting up checkpoint, prompt, and other settings for image generation.
Utilization of Alteristic Detector Provider for face detection.
Selection of B-Box Slice YOLOv8m model for effective face detection.
Explanation of B-Box as an abbreviation for bounding box.
Application of Sam Loader for image segmentation to separate detected faces.
Importance of choosing the Sam model that includes 'L' for better segmentation.
Introduction to Face Detailer as the A-Detailer equivalent in ComfyUI.
Connecting nodes for face swapping using the generated image from the Sdxl model.
Adjusting settings in Face Detailer for optimal face swapping results.
Previewing the face swap result and comparing it to the original image.
Troubleshooting face swap issues by adjusting settings like feather, bbox crop factor, and bbox dilation.
Conclusion and call to action for viewers to like and follow for more tutorials.