Stable Diffusion ComfyUI With Krita Installation Guide - Image Editor AI Image Integrated

This guide walks you through the process of integrating Stable Diffusion with ComfyUI in Krita, an open-source photo editor. It covers downloading the ComfyUI plugin from GitHub, installing it, and using it to generate images with AI. The tutorial also touches on using the Control Net and Open Pose features for more detailed image enhancement, offering a comprehensive look at leveraging AI in image editing.

Takeaways

• 🖼️ The guide provides instructions on integrating Stable Diffusion with the open-source photo editor Krita.
• 💻 Download Krita from the official website, which automatically detects your operating system (Windows, Mac OS, or Linux).
• 🔄 Unzip the downloaded files and locate them in the appropriate folder directory for the integration process.
• 🔧 Follow the GitHub instructions to install the CreAI Diffusions plugin step by step.
• 🛠️ Ensure your system has at least 6 GB VRAM to run the AI image generation smoothly.
• 🔄 Enable the AI image diffusions plugin in Krita's settings and restart the editor.
• 📱 The AI image generation tab will appear in Krita after successful installation, allowing users to input prompts and generate images.
• 🖱️ Install any missing custom nodes in Krita through the Comfy UI manager for seamless integration.
• 🏰 Experiment with different prompts and settings to generate a variety of images, such as 'beautiful castle'.
• 🎨 Adjust the strength and other settings like control net, open pose upscaler to refine the generated images.
• 🖼️ Use the refiner feature for improved image quality and explore the potential of upscaling images for enhanced details.

Q & A

What is the name of the open-source photo editor discussed in the transcript?

The open-source photo editor discussed is called Krita (referred to as 'CR' in the transcript).

How does Krita automatically detect the operating system for installation?

When you download the installer from Krita's official website, it automatically detects whether you are using Windows, Mac OS, or Linux.

What is the purpose of integrating stable diffusions with Krita using Comfy UI?

The integration allows for image generation and editing within the Krita photo editor, providing features such as real-time alike photo drawing using LCM model.

Where can the Krita AI diffusions plugin be downloaded from?

The Krita AI diffusions plugin can be downloaded from the GitHub page.

What is the minimum VRAM required for the initial setup of the plugin?

The minimum VRAM required is 6 GB.

How can one enable the AI image diffusions plugin in Krita?

After installing the plugin, go to Krita's settings, navigate to the Python plugin manager, find the AI image diffusions plugin, check the box to enable it, press OK, and then restart Krita.

What is the process to connect Comfy UI with Krita?

You need to start Comfy UI, go to the Comfy UI manager, search for and install the required custom nodes, then copy the IP address and port numbers to Krita to establish the connection.

What are some of the features available in the AI image generation tab of Krita after successful installation?

Features include control net, open pose upscaler, and the ability to adjust strength in editor settings.

How can users enhance the details of an image generated by stable diffusions in Krita?

Users can adjust settings such as strength, choose specific checkpoint models, and use additional models like detailer or styler for further enhancement.

What is the Control Net Open Pose used for in the context of Krita and stable diffusions?

Control Net Open Pose is used to generate character poses specified by the user, allowing for more personalized and dynamic image generation.

What is the process to upscale an image in Krita after using stable diffusions?

After generating the image, you can select the 'ultra sharp upscaler' from the drop-down menu to upscale the image, which also has a refiner feature enabled by default to improve image quality.

What is the next topic the speaker plans to cover in a future video?

The speaker plans to cover LCM real-time drawing with stable diffusion AI images in an upcoming video.

Outlines

00:00

🖼️ Introduction to CR Photo Editor and Stable Diffusions Integration

The paragraph introduces viewers to the CR photo editor, an open-source tool, and the process of integrating Stable Diffusions using Comfy UI. It explains the initial steps of downloading the installer from the official website and the automatic detection of the user's operating system. The tutorial aims to demonstrate how to generate images and edit them using the photo editor, highlighting features like real-time alike photo drawing with the LCM model. The user is guided through downloading the Cre AI diffusions plugin from GitHub and installing it step by step, emphasizing the system requirements and the importance of following instructions for successful integration.

05:01

🛠️ Customizing Stable Diffusion Features and Image Enhancement

This paragraph delves into the customization options available within the Stable Diffusion features of the CR photo editor. It covers the ability to control net open pose and upscale images, providing examples of how to use these features. The paragraph also introduces style present settings, allowing users to select specific checkpoint models and add custom nodes for further image enhancement. The speaker shares their experience of generating castle images, experimenting with different settings, and the process of refining the generated images for better detail and quality. It emphasizes the capabilities of the photo editor in enhancing and upscaling images, giving users the ability to create more detailed and high-quality outputs.

10:01

🎨 Exploring Image Upscaling and Real-Time Drawing with LCM Model

The final paragraph discusses the image upscaling capabilities of the CR photo editor, specifically mentioning the ultra sharp upscaler and its refiner feature. It highlights the improvements in image quality and the open-source nature of the tools being used. The speaker also expresses their intention to explore the LCM real-time drawing feature in a future video, suggesting that there is more to learn and discover with the photo editor. The paragraph concludes with an encouragement for users to experiment with the tools and a promise to provide more tutorials in subsequent videos.

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model that generates images from textual descriptions. It is an open-source technology that allows users to create detailed images by inputting prompts. In the context of the video, Stable Diffusion is integrated with Krita, an open-source photo editor, to enhance image generation capabilities and provide a more interactive and dynamic editing experience.

💡Krita

Krita is a professional open-source drawing program that offers a wide range of tools and features for digital artists. It is used in the video as the primary image editor to which the Stable Diffusion model is integrated, allowing users to not only generate images but also edit and refine them using Krita's robust toolset.

💡ComfyUI

ComfyUI is a user-friendly interface designed to simplify the interaction with AI image generation models like Stable Diffusion. In the video, ComfyUI is used to manage the integration with Krita, providing a smooth and intuitive experience for users to generate and edit images without having to deal with complex code or command lines.

💡GitHub

GitHub is a web-based platform that hosts and facilitates version control using Git. It is used by developers to store, manage, and collaborate on software projects. In the video, GitHub is the source from where the ComfyUI plugin for Krita and Stable Diffusion is downloaded, allowing users to access and contribute to the open-source project.

💡VRAM

Video RAM (VRAM) is the memory used to store image data for the graphics processor. It is a crucial component for running graphics-intensive applications like Krita and AI image generation models. The video mentions the requirement of 6 GB VRAM to run the integrated system, indicating the necessary hardware specifications for optimal performance.

💡Docker

Docker is a platform that enables developers to develop, deploy, and run applications inside containers. Containers are lightweight, portable, and self-sufficient, making them ideal for managing complex applications like AI image generation models. In the video, Docker is used to manage the backend processes of the Stable Diffusion model within the Krita environment.

💡Control Net

Control Net is a feature within AI image generation models that allows users to guide the generation process by specifying certain aspects or styles to be included in the final image. It provides a level of control over the output, enabling users to achieve more precise results based on their preferences.

💡Upscale

Upscaling in the context of image editing refers to the process of increasing the resolution of an image while maintaining or improving its quality. This is particularly useful for images generated by AI models, as it allows for more detailed and high-definition outputs. The video mentions using the upscale feature in Krita to enhance the quality of the generated images.

💡Open Pose

Open Pose is a technology that enables the recognition and tracking of human poses in images. It can be used to generate images with specific poses or to refine existing images to match desired postures. In the video, Open Pose is utilized to create a character with a defined pose, allowing the user to interactively design the character's position and gestures.

💡LAION

LAION (Large Artificial Intelligence Open Network) is a platform that provides a collection of models and checkpoints for AI image generation. These models can be used to add specific styles or details to images generated by AI models. In the video, LAION models are used to enhance the quality and style of the generated images, such as adding 'realistic visions' or 'detail styler' to achieve a particular visual effect.

Highlights

Introducing the integration of Stable Diffusion with the open-source photo editor Krita.

Downloading Krita from the official website with automatic detection of operating systems.

Tutorial on integrating Stable Diffusion using ComfyUI with Krita photo editors for image generation.

Support for real-time alike photo drawing using LCM model in future tutorials.

Downloading the CreAI Diffusions plugin from GitHub for installation.

Requirement of 6 GB VRAM for the installation process.

Instructions for installing the AI Image Diffusions plugin in Krita.

Enabling the AI Image Generations feature in Krita settings.

Accessing the Dockers to confirm successful installation of the AI Image Generations plugin.

Creating a new empty image and enabling AI Image Generations for configuration.

Connecting ComfyUI to Krita using the AI Image Generations tab.

Installing missing custom nodes in ComfyUI for connection with Krita.

Demonstration of generating images using simple prompts like 'beautiful castle'.

Exploring advanced features like Control Net, Open Pose Upscaler, and style transfer settings.

Enhancing image details and using upscaling features for improved image quality.

Creating character poses using Control Net Open Pose and customizing backgrounds.

Upgrading the image resolution with the ultra sharp upscaler for better results.

The entire process is demonstrated as an alternative to using web browsers for Stable Diffusion and ComfyUI.

Krita with Stable Diffusion and ComfyUI is open-source and free to use.

Looking forward to exploring LCM real-time drawing in upcoming videos.