How to swap faces in ComfyUI using InstaSwap - Stable Diffusion Workflow
TLDRIn this tutorial video, the host guides viewers through the process of installing and using a custom node in ComfyUI called InstaSwap, which facilitates the swapping of faces in images and videos. The video provides a GitHub link for the project, addresses common installation errors, and demonstrates how to fix them. The host also explains the necessary steps to clone the repository, install the required dependencies, and download the necessary models. The workflow is straightforward, involving a single custom node that requires three input fields and two output fields for the face-swapping process. The video showcases the successful swapping of faces using the InstaSwap node and offers troubleshooting tips for potential errors. The host also highlights the node's compatibility with video files and the VHS video helper site for frame-by-frame swapping. The video concludes with a call to action for Patreon support and a thank you to current patrons.
Takeaways
- ๐ **Language Identified**: The language of the title is English.
- ๐ **Custom Node Introduction**: The video introduces a new custom node for ComfyUI that enables easy and fast face swapping.
- ๐ **GitHub Repository**: A link to the GitHub repository for the custom node is provided in the video description.
- ๐บ **Demo Explanation**: The script includes a demo that shows how the source face is swapped into an input image.
- ๐ป **Installation Guide**: The video provides a step-by-step guide on how to install the custom node, including handling potential errors.
- ๐ ๏ธ **Requirements and Tools**: The installation requires certain tools like Python, OpenCV, Numpy, and possibly the C++ build tool from Visual Studio.
- ๐ **Model Downloading**: Two models need to be downloaded and placed in specific directories for the node to function.
- ๐น **Video Compatibility**: The InstaSwap node is compatible with video nodes, utilizing a video helper site for frame extraction and swapping.
- ๐ **Workflow Simplicity**: The workflow for using the node is straightforward, requiring only a single custom node with three input fields and two output fields.
- ๐ **Error Resolution**: The video offers solutions to common errors encountered during the installation process, such as module logging and missing DLL files.
- ๐ญ **Face Swapping Results**: The video demonstrates the effectiveness of the face swapping, showing how faces from different sources can be successfully transferred to a target image.
- ๐ **Editing Tips**: It is noted that some results may require additional Photoshop manipulation to correct minor issues like misplaced eyes.
Q & A
What is the main topic of the video?
-The main topic of the video is demonstrating how to use a custom node in ComfyUI called InstaSwap to easily and quickly swap faces in images using a Stable Diffusion Workflow.
Where can viewers find the GitHub link for the project?
-Viewers can find the GitHub link for the project in the description of the video.
What are the two errors the presenter encountered during the installation process?
-The two errors encountered were related to 'module logging has no attribute status' and a missing 'ca.dll' file, which is typically associated with the Onyx CPU version.
How can one fix the 'module logging has no attribute status' error?
-To fix the error, one needs to go to the 'patch.py' file in the ComfyUI InstaSwap folder, find line 117, and replace 'login.status' with 'info' in all caps.
What is required for the C++ build tool installation?
-The C++ build tool is required from Visual Studio. If one already has Instant ID or IP adapter installed, they most likely already have this build tool available.
How large are the models that need to be downloaded?
-The models that need to be downloaded are approximately 400 megabytes each.
Is the InstaSwap compatible with video nodes?
-Yes, InstaSwap is compatible with video nodes and can automatically extract individual frames from a video and perform face swapping for each frame.
What is the final step in the workflow after adding the InstaSwap node?
-The final step is to provide the input image (body) and the source image (face to be swapped), and then the node will produce the final image with the face swapped.
What should one do if they do not see the models in the InstaSwap node?
-If the models are not visible, one should check the directory where the models were supposed to be pasted, ensuring they are in the correct 'models' and 'face restore models' folders.
How can one correct the 'ca.dll' missing error?
-The 'ca.dll' error can be safely ignored as the node will roll back and use the CPU version even if the GPU version is not found.
What does the presenter suggest for cases where the face swapping results are not as expected?
-The presenter suggests using Photoshop or similar image editing software for additional manipulation to correct any issues with the face swapping results.
How can viewers get early access to content like the InstaSwap tutorial?
-Viewers can join the presenter's Patreon page, where they can access early previews of tutorials and other content.
Outlines
๐ Introduction to Custom Node Full Confy UI
The video begins with a greeting and an introduction to a new custom node full confy UI for face swapping. The presenter mentions a GitHub link in the video description that leads to the project's landing page. The project has been active for about three months and is similar to Reactor Phase, but recent issues with the latter's custom node have prompted the development of this alternative. The video will demonstrate the installation process and address any errors that may arise. A demo is shown, where a source face is swapped onto an input image, and the result is displayed. The presenter guides viewers through accessing the config UI installation folder, opening a command prompt, cloning the repository from GitHub, and installing necessary requirements like Python, OpenCV, and numpy. The C++ build tool from Visual Studio is also required, and the presenter provides guidance for installing it if not already available.
๐ Insta Swap Installation and Error Resolution
The presenter skips to step five of the installation guide, which involves downloading two models and placing them in the correct directory. The models are large, around 400 megabytes each, and the process is compatible with video nodes, requiring the VHS video helper site for frame extraction. After downloading, the models are to be placed in a newly created 'models' folder within the 'config UI insta swap' directory. The video then demonstrates how to run the software, with a simple workflow requiring only one custom node. The presenter adds the 'insta swap' node and explains the inputs and outputs required for the face swapping process. The video also addresses potential errors, providing solutions such as modifying code in specific files to replace 'logger.do status' with 'print' statements. The presenter conducts tests using the software, noting that while some errors may occur, they can be resolved, and the software works impressively for face transferring.
๐ง Troubleshooting and Final Thoughts
The presenter discusses an error related to the GPU version of Onyx, explaining that even if the error message appears, the node will revert to using the CPU version, and the error can be ignored. Further troubleshooting is provided for errors encountered in 'node.py', where the presenter instructs viewers to change instances of 'logger.do status' to print statements. After making these changes and restarting the confy UI, the presenter successfully demonstrates the face swapping feature using different celebrities' faces. The video concludes with the presenter offering help for any future errors that viewers might encounter and thanking Patreon supporters. A shoutout is given to Patreon members, and the presenter mentions that early access content and updates are available on the Patreon page for those who join and support the channel.
Mindmap
Keywords
๐กComfyUI
๐กInstaSwap
๐กGitHub
๐กReactor phase
๐กCMD
๐กPython
๐กC++ Build Tool
๐กVisual Studio
๐กModel
๐กError Handling
Highlights
Introduction to a new custom node for ComfyUI that simplifies and speeds up face swapping.
GitHub link provided for accessing the project, which has been active for about three months.
The project is similar to Reactor Phase but addresses recent issues with the Reactor Phase custom node.
Demo of face swapping a source face onto an input image with the result showcased.
Instructions for installation, including navigating to the ComfyUI installation folder and using a command prompt.
Cloning the repository from GitHub to the local machine using a terminal command.
Requirements for the installation process, such as Python, OpenCV, and numpy, which may already be installed.
The necessity of C++ build tools, potentially obtained from Visual Studio.
Downloading and placing two models in the correct directory for the InstaSwap to function.
InstaSwap's compatibility with video nodes and the requirement of VHS video helper site for video processing.
Creating specific folders within the InstaSwap directory to house the downloaded models.
Running the InstaSwap through ComfyUI and the simplicity of the workflow requiring only one custom node.
The need for three input fields and two output fields in the custom node for face swapping.
How to use the face model output for chaining faces in a single image.
Potential errors encountered during installation and how to resolve them by editing specific files.
The node's fallback to CPU version if GPU version is not available or if errors are encountered.
Successful face swapping tests with impressive results using different celebrities' faces.
The presenter's recommendation for Patreon supporters and the benefits of joining the Patreon page.
Availability of early previews and additional content for Patreon members.