Inpaint and outpaint step by step - [Comfyui workflow tutorial]
TLDRThis tutorial introduces an advanced inpainting and outpainting workflow for AI image creation, promising more accurate image expansion. The presenter guides viewers through setting up the interface, installing necessary nodes, and downloading models for the process. They demonstrate how to use these techniques to seamlessly extend image areas and adjust image quality, offering a comparison of before and after results. The method aims to streamline photo editing with minimal hassle.
Takeaways
- 🎨 The video introduces a new method for inpainting and outpainting images, which is claimed to be more accurate than previous methods.
- 🖼️ The presenter will guide viewers through the process of using this method to create a satisfactory image in one step with minimal hassle.
- 🔗 The workflow will be available on Patreon for paying members, but basic guidance will also be provided for everyone else.
- 💻 The tutorial starts with the default interface of KFU and involves setting up the AI image creation process.
- 📸 The video uses any image to demonstrate the inpainting and outpainting techniques, emphasizing their understanding of environmental context.
- 🛠️ A custom node called 'ComfyUI Paint Nodes' is required, which is not a default node in KFU, and must be installed.
- 📂 Necessary models for the node must be downloaded from a provided source code website and placed in a newly created folder.
- 🔄 The tutorial covers the use of latent variables and nodes like 'apply focus inpaint' for processing image information.
- 🖌️ The process begins with outpainting to expand the image in any desired direction, followed by inpainting to fill in missing areas.
- 🖼️ The video shows how to handle the mask part of the image to ensure seamless extension of the image.
- 🔧 The presenter adjusts the sampling set and CFG to fit the checkpoint being used, which affects the intensity of the image colors.
- 🔄 Mistakes in connecting to the laden ports can cause the mask part not to be processed correctly, which is addressed in the tutorial.
- 🆚 A compare node is used to easily compare the images before and after the inpainting and outpainting process.
- 🌟 The video demonstrates the effectiveness of the method by expanding images without visible borders, unlike previous methods.
- 🤖 The presenter guides viewers on how to inpaint by creating a mask for the area that needs to be changed inside the image.
- 🔄 The video shows combining various methods to change multiple aspects of an image without losing its original characteristics.
- 🔍 The final result is compared to the original image, showcasing the effectiveness of the workflow.
- 🚀 The advanced workflow is demonstrated, combining mask inpainting and outpainting in one go, with automatic image resizing.
- 🖼️ The presenter has fine-tuned the workflow for realistic image styles and added advanced image quality enhancements.
- 📹 The video concludes with a preview of a future tutorial on changing lighting in AI image editing, such as switching from day to night.
Q & A
What is the main topic of the video?
-The main topic of the video is a tutorial on a new method for inpainting and outpainting images more accurately using AI.
What is the purpose of the workflow mentioned in the video?
-The purpose of the workflow is to accomplish image inpainting and outpainting in one step without too much hassle.
Where will the advanced workflow be available for access?
-The advanced workflow will be available on the creator's Patreon for paying members.
What is the default interface used to initiate the AI image creation process?
-The default interface used is 'kfu'.
What checkpoint does the creator use for demonstration?
-The creator uses their favorite 'sdxl lighting checkpoint' or the one instructed in a previous video.
What is the name of the node that needs to be installed for inpainting and outpainting?
-The name of the node is 'comfyui paint nodes'.
What is the role of the 'apply focus inpaint' node in the workflow?
-The 'apply focus inpaint' node processes image information through the path of the model.
What is the function of the 'out painting offset' node?
-The 'out painting offset' node expands the image in any desired direction.
What is the importance of the 'fil MK area' node in the process?
-The 'fil MK area' node is important for processing the mask part of the image.
How does the creator adjust the sampling set and CFG to fit the checkpoint?
-The creator adjusts the sampling set and CFG to fit the checkpoint by finding the fil Mask Part to offset the colors from within the image.
What is the final step the creator takes to compare the original and processed images?
-The final step is to call out a 'compare node' to easily compare the images before and after the process.
What is the benefit of the advanced workflow demonstrated in the video?
-The benefit of the advanced workflow is that it combines mask inpainting and outpainting to be executed in one go and automatically resizes the image size.
Outlines
🎨 Introduction to Advanced Painting Techniques
The speaker introduces a new method for inpainting and outpainting that promises to expand images more accurately than traditional methods. They mention that this workflow has been perfected using various techniques to accomplish the task in one step with minimal hassle. The tutorial will be available on Patreon for paying members, but basic guidance will be provided for everyone. The process begins with the default interface of KFU and the setup process for AI image creation. The speaker will use a favorite checkpoint and demonstrate the techniques using any image, emphasizing the importance of understanding environmental context. A specific node is required for the process, which is not a default in KFU, and instructions are given to install it by searching for 'comy inpainting nodes'. The source code and necessary models for this node are also discussed, with instructions on how to download and set them up.
🖌️ Demonstrating Inpainting and Outpainting
The speaker proceeds to demonstrate the inpainting and outpainting process, starting with the outpainting technique to expand the image in any desired direction. They show how to generate the image and discuss the importance of handling the mask part, using a specific node to process the mask. Adjustments to the sampling set and CFG are made to fit the checkpoint being used. The speaker then moves on to demonstrate inpainting by creating a mask for the area that needs to be changed within the image. They guide through the process of adjusting the image and mask paths and using a larger mask with a prompt to check effectiveness. The goal is to change multiple aspects of an image without losing its original characteristics. An example is given where the state of a Pikachu image is changed from adorable to angry. The process involves copying results and connecting them to the outpainting part to further expand the image. The speaker also mentions creating a comparison node for easy comparison between the original and final images. The result is a seamless extension of image parts, and the speaker highlights the advanced workflow's ability to combine mask inpainting and outpainting in one go, with automatic resizing of the image. They also discuss fine-tuning for realistic image styles and adding advanced image quality enhancements. The speaker concludes by mentioning an upcoming tutorial on changing lighting in AI image editing.
Mindmap
Keywords
💡Inpainting
💡Outpainting
💡AI Image Creation
💡Comfyui
💡SDXL Lighting Checkpoint
💡Latent
💡V Decoder
💡CFG
💡Mask
💡Compare Node
💡Workflow
Highlights
Introduction of a new method for accurate inpainting and outpainting.
Guide through steps to create a satisfactory image using this workflow.
Method perfected to accomplish inpainting and outpainting in one step.
Basic guidance provided for everyone, with more details on Patreon.
Start with default interface of KFU, setting up AI image creation with SDXL lighting checkpoint.
Demonstration of inpainting and outpainting techniques that understand environmental context.
Installation of necessary nodes and models from Comy inpaint sources for non-default nodes.
Detailed steps to connect latent paths and nodes such as Apply Focus Inpaint.
Usage of the V decoder node to produce the final image.
Crucial step of outpainting starts with the outpainting offset node.
Generation and evaluation of the image expansion, identifying issues like Mask Part handling.
Adjustment of sampling set and CFG to match the checkpoint for better color control.
Seamless extension of the image with no visible borders using the refined method.
Inpainting method explained by creating a mask and adjusting paths without outpainting nodes.
Demonstration of inpainting different parts of an image, showing changes without losing original characteristics.
Combining inpainting and outpainting on the same image to produce larger and high-quality results.
Advanced workflow allows resizing and image quality enhancements in one go.
Final output meets the need for quick editing with excellent image quality.