Inpaint and outpaint step by step - [Comfyui workflow tutorial]

Archilives | Ai | Ue5
9 May 202409:21

TLDRIn this tutorial, the presenter introduces a new method for inpainting and outpainting images more accurately than before. They guide viewers through the process using AI image creation with a preferred checkpoint, explaining how to install necessary nodes and download models for the workflow. The video demonstrates how to expand images seamlessly, adjust colors, and compare before-and-after results. The presenter also shows how to combine inpainting and outpainting in one step, resize images automatically, and enhance image quality for quick photo editing.

Takeaways

  • 🎨 **Introduction to Inpainting and Outpainting**: The tutorial introduces a new method for inpainting and outpainting images more accurately.
  • 🔧 **Workflow Tutorial**: A step-by-step guide is provided for using this method, which is designed to be efficient and hassle-free.
  • 💾 **Software and Tools**: The tutorial uses KFP (Kubeflow Pipelines) and requires the installation of additional nodes for inpainting and outpainting.
  • 🌐 **Environmental Context**: The method is praised for understanding environmental context well, which is crucial for realistic image editing.
  • 📂 **Model Download**: Necessary models for the nodes are to be downloaded from a provided website and placed in a specific folder.
  • 🔄 **Nodes and Connections**: The tutorial explains how to set up and connect various nodes, including the V decoder for final image production.
  • 🖼️ **Inpainting Process**: A demonstration of how to start inpainting without initially using the outpainting node.
  • 📏 **Outpainting Offset**: The outpainting offset node is used to expand the image in any desired direction.
  • 🎭 **Mask Handling**: The 'fil MK area' node is introduced for processing the mask part of the image to ensure seamless results.
  • 🌈 **Color Adjustment**: Adjustments to sampling settings and CFG are made to fit the checkpoint being used, affecting the image's color intensity.
  • 🔗 **Connection Precision**: Correct node connections are emphasized to avoid processing errors.
  • 📈 **Image Comparison**: The use of a compare node allows for easy comparison of the image before and after the editing process.
  • 📸 **Realistic Expansion**: The method is shown to expand images realistically without the borders that previous methods might introduce.
  • 🤖 **AI Image Editing**: The tutorial demonstrates combining inpainting and outpainting in one step, with automatic resizing for the final output.
  • 🖌️ **Advanced Workflow**: The advanced workflow is fine-tuned for realistic image styles and includes enhancements for image quality.
  • 🌟 **Final Output**: The output image quality is excellent, suitable for quick photo editing with minimal operations.
  • 🔦 **Lighting Techniques**: A teaser for the next tutorial on changing lighting in images, which can be challenging but will be covered in future videos.

Q & A

  • What is the main topic of the Comfyui workflow tutorial?

    -The main topic of the Comfyui workflow tutorial is a new method for inpainting and outpainting images more accurately than previous methods.

  • What is the benefit of using the new inpainting and outpainting method?

    -The new method allows for more accurate image expansion and can handle environmental context better than previous techniques.

  • Where will the advanced workflow be made available for paying members?

    -The advanced workflow will be made available on the creator's Patreon for paying members.

  • What is the first step in the AI image creation process according to the tutorial?

    -The first step in the AI image creation process is to start with the default interface of KFU.

  • Which checkpoint does the tutorial recommend for the process?

    -The tutorial recommends using either the favorite sdxl lighting checkpoint or the checkpoint instructed in a previous video.

  • How do you install the Comfyui paint nodes in the tutorial?

    -To install the Comfyui paint nodes, you need to search for 'Comfyui paint nodes' in the interface, and then download the necessary models from the provided source code website.

  • What is the purpose of the 'apply focus inpaint' node in the workflow?

    -The 'apply focus inpaint' node processes image information through the path of the model.

  • What does the 'out painting offset' node do in the workflow?

    -The 'out painting offset' node expands the image in any direction desired by the user.

  • How does the tutorial handle the mask part of the image?

    -The tutorial uses a 'fil MK area' node to process the mask part of the image, adjusting the colors within the image.

  • What is the purpose of the 'compare node' in the workflow?

    -The 'compare node' is used to easily compare the images before and after the inpainting and outpainting process.

  • How does the tutorial demonstrate the effectiveness of the method?

    -The tutorial demonstrates the effectiveness of the method by changing the state of an image, such as making an adorable Pikachu appear angry, and then inpainting and outpainting parts of the image.

  • What is the final step in the workflow according to the tutorial?

    -The final step in the workflow is to create a comparison node between the original image and the final result for easy comparison.

Outlines

00:00

🎨 Advanced Painting and Image Editing Techniques

The speaker introduces a new method for inpainting and outpainting that enhances image accuracy. They will demonstrate how to use this method to create a satisfactory image in a streamlined workflow. The process involves using a specific AI image creation tool, with a focus on setting up the interface and initiating the AI process with a preferred checkpoint. The speaker also guides viewers on how to install additional nodes and download necessary models for the process. They explain the steps to process image information, including using a focus inpaint node and a V decoder for the final image. The video also covers how to handle the mask part of the image and adjust settings like sampling and CFG to fit the checkpoint. The speaker concludes by showing an example of the method in action, demonstrating the seamless extension of image parts.

05:14

🖼️ Combining Inpainting and Outpainting for Enhanced Image Editing

In this segment, the speaker explores the effectiveness of the new inpainting and outpainting method by expanding an image in a reasonable manner without visible borders. They guide viewers through creating a mask for the area needing change and adjusting image paths to avoid the outpainting node. The speaker tests the method with a larger mask and a prompt to evaluate its effectiveness. They then combine various techniques to modify multiple aspects of an image while preserving its original characteristics. An example is provided where the speaker changes the expression of a Pikachu from adorable to angry. The process involves copying results, inpainting, and outpainting to expand the image further. The speaker also sets up a comparison node to easily compare the original and final images. The result is a high-quality output that meets the needs of quick photo editing with minimal operations. The speaker discusses the benefits of the advanced workflow, including automatic resizing and fine-tuned settings for realistic image styles and quality enhancements. They mention an upcoming tutorial on changing lighting in images and invite viewers to follow for future videos. The speaker also mentions that the basic workflow will be uploaded to Patreon for those interested.

Mindmap

Keywords

💡Inpainting

Inpainting refers to the process of filling in missing or damaged parts of an image. In the context of the video, inpainting is used to restore or alter specific areas within an image without affecting the surrounding areas. The script mentions creating a mask for the area needing change and adjusting the paths of the image and mask to ensure they do not pass through the outpainting node.

💡Outpainting

Outpainting is the technique of expanding an image beyond its original borders. The video describes outpainting as expanding the image in any desired direction, which is achieved by using an 'out painting offset node'. This process is crucial for generating images that appear seamless and naturally extended.

💡AI Image Creation

AI Image Creation is the process of generating images using artificial intelligence. The video script outlines a method that involves using AI to create images more accurately than previous methods. This process begins with the default interface of KFU and involves several steps including setting up the AI and using specific nodes for processing.

💡Comfyui Workflow

Comfyui Workflow refers to a specific method or sequence of steps used to achieve a task, in this case, inpainting and outpainting using AI. The video introduces a perfected workflow that simplifies the process into a single step, making it less cumbersome and more efficient.

💡SDXL Lighting Checkpoint

SDXL Lighting Checkpoint is a reference to a specific preset or setting used in the AI image creation process. The script mentions using this checkpoint or another previously instructed one for the demonstration of inpainting and outpainting techniques.

💡Comfyui Paint Nodes

Comfyui Paint Nodes are custom nodes that are not part of the default setup in the AI image creation software. The script instructs viewers to install these nodes for inpainting and outpainting, which are necessary for the functionality of the process described.

💡V Decoder

V Decoder is a component in the AI image creation process that produces the final image. It is mentioned as a crucial part of the workflow where the inpainting process begins, and it is responsible for generating the output image.

💡Mask

A Mask in the context of image editing is a selection or area within an image that is designated for specific editing tasks. The script describes creating a mask for the area that needs to be changed and processing this mask to handle the parts of the image that need inpainting.

💡CFG

CFG likely stands for 'Control Flow Graph' or a similar configuration setting in the AI image creation process. The script mentions adjusting CFG in relation to the sampling set and the intensity of colors in the image, suggesting it's a parameter that affects image characteristics.

💡Latent

In the context of AI and machine learning, Latent refers to hidden or underlying features within data. The script mentions 'latent one for the sampler latent', indicating that it is a part of the process where image information is processed and generated.

💡Compare Node

Compare Node is a tool used to compare images before and after processing. The video script describes using this node to easily compare the original image with the final result after inpainting and outpainting, helping to visualize the effectiveness of the workflow.

Highlights

Introduction to a new method for in painting and out painting.

The method expands images more accurately than previous methods.

Workflow perfected with various techniques for one-step image creation.

Basic guidance will be provided for everyone, with advanced workflow for Patreon members.

Starting with the default interface of KFU and basic setup process.

Using a favorite SDXL lighting checkpoint for AI image creation.

Demonstrating in painting and out painting with any image that understands environmental context.

Installing ComfyUI Paint Nodes for inpainting and outpainting.

Downloading necessary models for the node to function properly.

Using PADs for latent and connecting to the 'apply focus inpaint' node.

Loading the downloaded models and using the V decoder to produce the final image.

Starting without painting and then calling out the out painting offset node.

Generating the image to see the result and handling the mask part.

Adjusting sampling set and CFG to fit the checkpoint being used.

Mistakenly connecting to Laden ports causing mask part processing issues.

Seamlessly extending outward parts in the image.

Changing the state of an image, like making Picachu angry.

Combining various methods to change multiple things in one image without losing original characteristics.

Creating a comparison node for easy comparison of original and final images.

Demonstrating the advanced workflow with mask inpainting and outpainting in one go.

Automatically resizing image size to produce the final output.

Fine-tuning for realistic image styles and adding advanced image quality enhancements.

Checking the results with excellent output image quality for quick photo editing.

Preventing images from becoming oversized and causing delays with multiple outpainting.

Announcing a future tutorial on changing lighting with AI.