Tutorial - Krita AI image generator

DataExtend Digital
16 Oct 202311:44

TLDRThis tutorial demonstrates how to integrate the Stable Diffusion AI image generation program with Krita, a free digital painting tool. The guide walks through the installation process of Krita and the Stable Diffusion plugin on a Windows 11 system, highlighting the importance of having an appropriate graphics card and driver updates. It also discusses the use of different checkpoints for generating various image styles, and suggests experimenting with larger models for better results. The video concludes with a few examples of images created using this method.

Takeaways

  • 🖼️ Krita is an undiscovered treasure, a powerful digital painting tool compatible with Windows 11, Linux, and OS X.
  • 🚀 The tutorial focuses on integrating the Stable Diffusion AI image generation program into Krita for creating high-resolution images.
  • 📦 Download Krita from the official website (Krita.org) and install it on your computer.
  • 🔄 Ensure that your system has at least 10 GB of free space for the installation and operation of the Stable Diffusion plugin.
  • 🖱️ Navigate to the 'pykrita' folder in the AppData directory to install the AI image generation plugin.
  • 👁️ Enable the Python Plugin Manager, Dockers, and AI image generation in Krita's settings.
  • 🖌️ Create a blank file in Krita to begin the image generation process.
  • 🔧 Select the appropriate graphics card (CUDA for NVIDIA) for optimal performance.
  • 🛠️ Update your graphics card driver if you encounter errors during the installation of the AI plugin.
  • 🎨 Experiment with different checkpoints available on CivitAI.com for varied and improved image generation results.

Q & A

  • What is the name of the artificial intelligence image generation program mentioned in the tutorial?

    -The program mentioned is called 'Stable Diffusion'.

  • What are the system requirements for running Stable Diffusion with Krita?

    -The system should be able to handle high-resolution image generation, and for the NVIDIA graphics card, CUDA should be selected.

  • Why is Krita referred to as an 'undiscovered treasure' in the script?

    -The presenter refers to Krita as an 'undiscovered treasure' due to its powerful features and capabilities, which may not be widely known or recognized.

  • What is the process for installing Krita on a Windows system?

    -The process involves downloading Krita from Krita.org, running the installer by clicking 'Next', and waiting for the installation to complete, which usually takes 1-2 minutes.

  • How large is the ZIP file for the Stable Diffusion plugin?

    -The ZIP file is 606 kilobytes in size, but once installed, it will occupy around 15 GB of space.

  • What is the name of the folder where Krita plugins are located?

    -The target folder for Krita plugins is named 'pykrita'.

  • Why did the installation fail initially in the tutorial?

    -The initial installation failed due to an outdated graphics card driver, which was not updated after performing a clean Windows installation.

  • What checkpoints are mentioned in the script for image generation?

    -Two checkpoints are mentioned: one for photo-style images and the other for imaginary drawings.

  • What is the recommended approach if the generated image is not satisfactory?

    -The presenter suggests downloading different checkpoints from CivitAI.com and experimenting with them to improve the results.

  • What are the differences between Dreamshaper 8 and Dreamshaper 10 XL?

    -Dreamshaper 8 is only 2 GB in size, while Dreamshaper 10 XL is 6.4 GB. The larger model, 10 XL, generally yields better results but takes longer to generate images.

  • Why is it necessary to create a blank file before activating the AI image generation plugin in Krita?

    -Creating a blank file is a prerequisite for the AI image generation plugin to function properly in Krita.

  • What is the presenter's recommendation for users who want to try out the AI image generation with Krita?

    -The presenter encourages users to experiment with different models and checkpoints to achieve the desired results and to try it out for themselves.

Outlines

00:00

🖼️ Introduction to Stable Diffusion in Krita

The video begins with an introduction to the Stable Diffusion artificial intelligence image generation program and its integration with Krita, a free and powerful digital painting software. The creator explains the process of installing Krita on a clean Windows 11 system and highlights the compatibility with Linux and OS X. The installation is straightforward, but the video speeds up to save time. After installation, the creator moves on to set up the Stable Diffusion plugin, providing a link in the description for viewers. The plugin's installation requires a significant amount of space due to its size, and the creator emphasizes the importance of placing it in the correct folder. However, an error occurs during the process, which is suspected to be due to outdated graphics card drivers. The video then demonstrates how to update the drivers and successfully complete the installation, allowing for the use of two different checkpoints for generating images.

05:02

🎨 Exploring Image Generation with Stable Diffusion

In this paragraph, the creator delves into the practical use of the Stable Diffusion program within Krita. After resolving the initial installation error, the creator demonstrates how to use the program to generate images, starting with a simple prompt to draw a cat. The creator notes some imperfections in the generated image and suggests that more complex prompts may yield better results. The video then shows the process of enlarging layer images for clearer viewing and saving the generated images. The creator also discusses the use of different checkpoints for varied image outcomes, recommending the use of the larger Dreamshaper 10 XL model for higher quality results. The video concludes with a recommendation to experiment with different models and a thank you note to the viewers. The creator also mentions leaving a few examples of the generated images in the rest of the video for viewers to see the capabilities of the Stable Diffusion program.

Mindmap

Keywords

💡Artificial Intelligence

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the context of the video, AI is used to generate images through a program called 'Stable Diffusion', which is integrated with Krita, a digital painting software. The AI in this case is designed to create high-resolution images based on user input, showcasing its ability to understand and execute complex tasks related to art and creativity.

💡Image Generation

Image Generation is the process of creating new images from scratch using computational algorithms. In the video, the main theme revolves around generating images using AI, specifically the 'Stable Diffusion' program. This process involves inputting descriptive text or concepts into the AI, which then produces a visual representation of those inputs. The video demonstrates how to harness this technology within Krita to create unique and intricate images, such as a cat or a fantasy landscape.

💡Stable Diffusion

Stable Diffusion is an AI-based image generation program that is used to create high-quality images. It is highlighted in the video as a free tool that can generate unlimited images, provided the user's computer has the necessary resources. The program is central to the tutorial as it is integrated with Krita, allowing users to leverage the power of AI to enhance their digital art creation process.

💡Krita

Krita is a professional-level open-source digital painting software that is used as a platform to integrate the Stable Diffusion AI for image generation. The video provides a tutorial on how to install and use Krita, including its interface and settings. Krita is likened to an 'undiscovered treasure' in the realm of digital art, emphasizing its value and potential for creatives.

💡Installation

Installation refers to the process of setting up and preparing software or programs for use on a computer. In the video, the installation of Krita and the Stable Diffusion plugin is a key step. The tutorial covers downloading the software from Krita.org, navigating through the setup process, and ensuring that the correct folders and drivers are in place for the software to function properly.

💡Plugin

A plugin is a software component that adds specific functionality to an existing program. In this context, the Stable Diffusion program is installed as a plugin to Krita. The video details the steps required to integrate the AI image generation capabilities of Stable Diffusion into Krita, enhancing the software's core features with AI-powered image creation.

💡Graphics Card

A graphics card is a hardware component in a computer system that renders images, pictures, and videos to the display. The video emphasizes the importance of having a capable graphics card, specifically mentioning NVIDIA with CUDA support, for the efficient operation of the Stable Diffusion AI and Krita. The graphics card's role is crucial for handling the computational demands of image generation and ensuring smooth performance.

💡Checkpoints

Checkpoints in the context of the video refer to specific points within the AI's learning model that can be loaded to influence the style and output of the generated images. The video mentions different checkpoints such as 'photo stic images' and 'imaginary drawings', and suggests that users can experiment with various checkpoints to achieve different artistic effects in their AI-generated images.

💡CUDA

CUDA, or Compute Unified Device Architecture, is a parallel computing platform and programming model developed by NVIDIA. It allows developers to use NVIDIA GPUs (Graphics Processing Units) for general purpose processing. In the video, CUDA is mentioned as a necessary selection in the AI image generation settings for NVIDIA graphics card users, which helps to accelerate the image generation process and make the most of the GPU's capabilities.

💡Dreamshaper 10 XL

Dreamshaper 10 XL is a specific model or version of a checkpoint used in the AI image generation process. The video suggests that this particular checkpoint yields better results in terms of image quality and detail compared to smaller versions like Dreamshaper 8. It is used to demonstrate the impact of different checkpoints on the output of AI-generated images, encouraging users to experiment with various models to achieve their desired artistic outcomes.

💡Fantasy Landscape

A fantasy landscape refers to a scene or setting that is imagined or created in a fantastical, otherworldly manner, often featuring elements that do not exist in reality. In the video, the user requests a 'lural landscape of a fantasy world' as an example of input for the AI to generate. This showcases the AI's ability to interpret and visualize abstract concepts, resulting in a unique and creative image that aligns with the user's request.

Highlights

Introduction to Stable Diffusion, a free AI-based image generation program.

Krita, an undiscovered treasure, is used for high-resolution image generation.

Krita version 5.2.0 is used in the tutorial, compatible with Windows 11, Linux, and OS X.

Installation of Krita is straightforward, taking 1-2 minutes.

The plugin for Krita is installed in the 'pykrita' folder.

Stable Diffusion requires at least 10 GB of space for installation.

CUDA should be selected for NVIDIA graphics cards during installation.

An error may occur if graphics card drivers are not updated.

Two checkpoints are loaded for different image styles: photo stic and imaginary drawings.

Experimentation with different checkpoints can yield better image results.

Dreamshaper 10 XL, at 6.4 GB, provides more satisfying results than Dreamshaper 8.

Generating images with AI can take a long time, but the results can be more aesthetically pleasing.

The tutorial provides a step-by-step guide on integrating Stable Diffusion with Krita.

The process involves activating specific settings and restarting the program.

Creating a blank file is necessary before generating AI images.

The tutorial addresses common issues and provides solutions for troubleshooting.

The video concludes with examples of images created using the described method.