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

Future Thinker @Benji
28 Dec 202310:59

TLDRThis guide walks you through the process of integrating Stable Diffusion with ComfyUI in Krita, an open-source photo editor. It covers the installation of the AI Image Diffusions plugin from GitHub, setting up ComfyUI, and generating images using custom prompts. The tutorial also touches on enhancing images with various features like Control Net, Pose Upscale, and style transfer using checkpoint models. The video concludes by encouraging users to explore real-time drawing with LCM in a future tutorial.

Takeaways

  • 🖼️ The tutorial is about integrating Stable Diffusions with the open-source photo editor Krita.
  • 🔗 Download Krita from the official website, which automatically detects your operating system (Windows, Mac OS, or Linux).
  • 🔄 After installation, open Krita and navigate to settings to enable the AI Image Diffusions plugin.
  • 🔍 The plugin requires 6 GB VRAM and can be downloaded from the GitHub page.
  • 📂 Unzip the downloaded files and place them into the appropriate Krita directory for the plugin to be recognized.
  • 🔄 Restart Krita after enabling the plugin to see the AI Image Generations tab.
  • 🌐 Connect to ComfyUI or set up a local server if ComfyUI is not installed.
  • 🔧 Install missing custom nodes in ComfyUI to ensure seamless integration with Krita.
  • 🎨 Use simple prompts to generate images, like 'a beautiful castle', and adjust settings like strength for different outputs.
  • 🖼️ Enhance image details using features like Control Net, Open Pose Upscaler, and style transfer settings.
  • 👤 Utilize Control Net Open Pose to generate character poses based on user-defined prompts.
  • 🔍 Experiment with various settings, layers, and models to achieve desired image results.

Q & A

  • What is the main topic of this tutorial?

    -The main topic of this tutorial is how to integrate Stable Diffusions using ComfyUI with Krita, an open-source photo editor, for image generation and editing purposes.

  • Where can I download the Krita photo editor from?

    -You can download the Krita photo editor from its official website. It will automatically detect your operating system (Windows, Mac OS, or Linux) and provide the appropriate installer.

  • What is the minimum requirement for VRAM when installing the ComfyUI plugin?

    -The minimum requirement for VRAM when installing the ComfyUI plugin is 6 GB.

  • How can I install the AI Image Diffusions plugin?

    -To install the AI Image Diffusions plugin, you need to download it from the GitHub page, follow the provided installation instructions, and then unzip the files into the appropriate Krita plugin directory.

  • What features does the AI Image Generations tab offer in Krita?

    -The AI Image Generations tab offers features like image generation using simple prompts, connection to ComfyUI, and real-time image editing with various settings like control net, pose upscaler, and style transfer settings.

  • How can I connect Krita to my existing ComfyUI?

    -To connect Krita to your existing ComfyUI, you need to open the ComfyUI manager, search for and install the required custom nodes, and then copy the IP address and port numbers into Krita's AI Image Generations tab.

  • What is the purpose of the Control Net and Open Pose features?

    -The Control Net and Open Pose features allow users to generate images with specific poses and backgrounds. Users can define the character's pose and the environment to create more customized and detailed images.

  • How can I enhance the quality of the generated images?

    -You can enhance the quality of the generated images by adjusting the strength of the features, using the style transfer settings, and applying the ultra-sharp upscaler and refiner features available in Krita.

  • Is there a plan to cover real-time drawing using LCM model in future tutorials?

    -Yes, the tutorial mentions that real-time drawing using the LCM model with Stable Diffusion AI images in Krita will be covered in a future video.

  • What is the significance of using Krita with Stable Diffusions and ComfyUI?

    -Using Krita with Stable Diffusions and ComfyUI provides an open-source, free solution for image generation and editing, allowing users to create and enhance images with AI-powered tools directly within the photo editor.

Outlines

00:00

🖼️ Introduction to CR Photo Editor and Stable Diffusions

The paragraph introduces viewers to the CR photo editor, an open-source tool that can be downloaded from the official website. It highlights the automatic detection of operating systems (Windows, Mac OS, or Linux) by the installer. The main focus is on integrating Stable Diffusions using Comfy UI with the CR photo editor, which allows for image generation and editing. The tutorial covers the installation of the Cre AI Diffusions plugin from the GitHub page, detailing the process of unzipping files, placing them in the correct folder, and enabling the plugin through the editor's settings. It also mentions the system requirement of 6 GB VRAM and the need to restart the editor after installation. The paragraph concludes with a brief mention of the real-time alike photo drawing using the LCM model, which will be covered in a future video.

05:01

🛠️ Customizing Stable Diffusion Settings in CR Photo Editor

This paragraph delves into the customization of Stable Diffusion features within the CR photo editor. It explains how users can adjust settings such as control net, open pose upscaler, and style present settings to generate images with different characteristics. The summary outlines the process of adding specific checkpoint models and detailers, like the detail Laura model, and adjusting their strengths. It also describes how users can generate images based on these settings and further enhance them by upscaling and adding details. The paragraph emphasizes the ability to create detailed and realistic images, such as castles, and the potential to explore more advanced features like control net open pose for character generation in future tutorials.

10:01

🎨 Enhancing and Upscaling Images with CR Photo Editor

The final paragraph discusses the image enhancement and upscaling capabilities of the CR photo editor in conjunction with Stable Diffusions. It describes how users can refine the quality of generated images using the ultra sharp upscaler and refiner feature. The summary highlights the open-source and free nature of the tools, encouraging users to explore the possibilities. It also mentions the author's intention to cover LCM real-time drawing in a subsequent video, suggesting that the current video focuses on image generation and editing rather than real-time drawing. The paragraph concludes with a positive note, encouraging users to have fun exploring the features and looking forward to the next video.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model that generates images from text prompts. It is an open-source technology that allows users to create detailed images by inputting descriptive text. In the context of the video, Stable Diffusion is integrated with Krita, an open-source photo editor, to generate and enhance images based on user input. The video demonstrates how to set up this integration and use it for image generation.

💡Krita

Krita is a professional open-source drawing program that offers a wide range of tools and features for digital artists. In the video, Krita is used as the photo editor with which Stable Diffusion is integrated. The integration allows users to not only generate images but also edit and refine them using Krita's robust set of tools.

💡ComfyUI

ComfyUI appears to be a user interface that simplifies the process of working with AI image generation models like Stable Diffusion. In the video, the presenter guides viewers through the installation of the ComfyUI plugin for Krita, which facilitates the use of Stable Diffusion within the photo editor.

💡Image Generation

Image Generation refers to the process of creating visual content using AI models like Stable Diffusion. In the video, image generation is demonstrated by inputting text prompts into the integrated system of Krita and ComfyUI, which then produces images based on these prompts. This process allows for the creation of complex and detailed images without the need for manual drawing.

💡Real-time Alike Photo Drawing

Real-time Alike Photo Drawing is a feature mentioned in the video that seems to allow users to draw on photos in a manner similar to how one would draw on paper. This could involve using AI to assist in creating realistic drawings that mimic the appearance of a traditional medium. The video suggests that this feature will be covered in a future tutorial, indicating its relevance to the broader scope of using Krita with AI integrations.

💡LCM Model

The LCM Model is not explicitly defined in the video script, but it is mentioned in the context of real-time drawing. It could refer to a specific AI model or technology used to facilitate the drawing process. The video indicates that this will be covered in more detail in another video, suggesting that it is an important aspect of the AI-assisted drawing capabilities of Krita.

💡Dockers

Dockers, in the context of the video, likely refers to a user interface element in Krita that allows users to access and manage different panels or tools. The script mentions going to 'Dockers' to enable the AI Image Generation feature, indicating that it is a part of Krita's customizable workspace where users can access the integrated AI functionalities.

💡AI Image Generation Tab

The AI Image Generation Tab is a part of Krita's interface that becomes accessible once the Stable Diffusion integration is set up. This tab likely provides users with the tools and options to generate images using AI, as well as to configure and manage the AI model. In the video, enabling this tab is a crucial step in the process of generating AI images within Krita.

💡Control Net, Open Pose, Upscale

Control Net, Open Pose, and Upscale are features of the AI image generation process described in the video. Control Net likely refers to a feature that allows users to control the style or specific aspects of the generated image. Open Pose might be a feature that enables users to define the pose of characters or objects in the image. Upscale refers to the process of increasing the resolution of an image while maintaining or improving its quality. These features are used to enhance and customize the images generated with Stable Diffusion.

💡Vector Layer

A Vector Layer in Krita is a layer type that allows for vector-based drawing and editing. Vector layers are useful for creating precise, scalable graphics that do not lose quality when resized. In the video, the presenter creates a vector layer to add the Open Pose Skeleton, which is used to define the pose of a character in the AI-generated image.

💡Sampling Steps

Sampling Steps in the context of AI image generation refers to the process of refining the generated image by adjusting various parameters to achieve a desired level of detail and quality. In the video, the presenter mentions adjusting the number of sampling steps to improve the outcome of the AI-generated images, suggesting that this is an important aspect of the image generation process.

Highlights

Integrating stable diffusions with the open-source photo editor Krita for image generation and editing.

Automatic detection of Windows, Mac OS, or Linux during Krita installation.

Downloading the Krita AI diffusions plugin from GitHub for integration.

Requirement of only 6 GB VRAM for the setup.

Step-by-step installation process detailed in the tutorial.

Enabling the AI image diffusions plugin within Krita's settings.

Usage of Comfy UI for advanced image generation configurations.

Local server setup for users without Comfy UI.

Installation of custom nodes in Comfy UI for connectivity with Krita.

Real-time troubleshooting of errors during the setup process.

Basic setup for alternative use of stable diffusion with an image editor.

Control over model loading and sampling steps within the editor.

Enhancing image details using stable diffusion features like ControlNet and Open Pose.

Customization of image style with preset settings and checkpoint models.

Adding detail and style models to refine image generation.

Generating character poses using the ControlNet Open Pose feature.

Adjusting pose and defining backgrounds for better image results.

Upscaling and refining image quality with the ultra sharp upscaler.

Exploring LCM real-time drawing in a future tutorial.

Krita's open-source and free nature for using with stable diffusions.

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