(KRITA AI) INTRO to Stable Diffusion for Krita PART 1

Intelligent Image
29 Apr 202414:51

TLDRThis tutorial introduces the generative AI plugin for Krita, a free and open-source painting program. The plugin integrates with Comfy UI to simplify the use of Stable Diffusion for image generation directly on the canvas. The video covers installation, setup, and settings, including connection options, style presets, sampler settings, and diffusion settings. It also discusses potential issues with version 1.17 of the plugin and suggests sticking to version 1.61 for stability.

Takeaways

  • 😀 The video introduces a generative AI plugin for Krita (CR), a free and open-source painting program similar to Photoshop and Procreate.
  • 🔧 The plugin integrates with 'Stable Diffusion' image generation software through a node-based UI called 'Comfy UI'.
  • 🎨 The plugin simplifies the complex node setup of Stable Diffusion into a user-friendly interface for direct use on the canvas.
  • 🆕 Version 1.17 of the plugin was released during the video's production, but the video uses version 1.61 due to fewer issues experienced.
  • 📥 The installation process requires Krita version 2.2 or later and involves downloading a zip file of the plugin and importing it via Krita's scripts menu.
  • 🔄 After installation, the plugin needs to be enabled through Krita's settings under 'Dockers' by checking 'AI Image Generation'.
  • 🔗 The plugin can connect to Comfy UI via a local managed server, which installs Comfy UI directly on the system and links it to Krita.
  • 📐 Users can choose the components to install, including different versions of Stable Diffusion and control nets for image generation.
  • 🌐 There's an option to connect to a custom local or remote server, which can be useful for those who prefer a dedicated or existing Comfy UI setup.
  • 🎨 Style presets within the plugin dictate how images are generated, and users can create custom presets or modify existing ones.
  • 🛠️ The plugin offers various settings for image quality, performance, and live mode, allowing users to balance between speed and image fidelity.
  • 🔄 The 'Sampler' settings are crucial for image generation, with different models potentially requiring different samplers and steps for optimal results.
  • 📝 The video script mentions potential audio inconsistencies due to re-filming parts to ensure all features were covered comprehensively.

Q & A

  • What is the generative AI plugin for Krita?

    -The generative AI plugin for Krita is a tool that integrates AI into the artistic workflow, allowing artists to use stable diffusion image generation directly on their canvas through a simplified user interface.

  • Is the Krita software and the AI plugin free to use?

    -Yes, both Krita and the generative AI plugin are completely free and open source.

  • What is the purpose of the 'Comfy UI' mentioned in the script?

    -Comfy UI is a node-based user interface for stable diffusion, which the plugin connects to, simplifying the node setup for users.

  • What should I do if I encounter issues with the 1.17 version of the plugin?

    -If you face issues with version 1.17 of the plugin, you might want to use version 1.61, which the video creator had fewer issues with.

  • What is the recommended Krita version for using the AI plugin?

    -The recommended Krita version for using the AI plugin is 2.2 or later.

  • How do I install the AI plugin for Krita?

    -To install the plugin, download a zip file from the provided link, open Krita, go to Tools > Scripts > Import Python Plugin from File, select the downloaded zip file, and restart Krita.

  • What does 'AI image generation' do in Krita?

    -AI image generation in Krita allows users to generate images using stable diffusion through a user-friendly interface integrated into the software.

  • What is the local managed server and how does it relate to the AI plugin?

    -The local managed server is an option to connect Krita to Comfy UI by installing it on your system and linking it directly to Krita, providing all required components for the plugin to function.

  • What is the purpose of the 'Style Presets' in the AI plugin settings?

    -Style Presets contain information on how stable diffusion will generate images, allowing users to create new presets or modify existing ones to customize the image generation process.

  • What are 'Checkpoints' in the context of the AI plugin?

    -Checkpoints are model files that have a significant impact on the look of the generated images, with different checkpoints offering various styles such as photorealistic, artistic, or anime.

  • How can I ensure I have the required models and nodes for the plugin to run correctly?

    -You can ensure you have the required models and nodes by following the instructions provided in the plugin's settings or by using the local managed server option which installs everything needed.

  • What is the significance of the 'Sampler Settings' in the AI plugin?

    -Sampler settings determine the quality and speed of image generation, with different presets for generate, upscale, and live mode, allowing users to balance between image quality and processing time.

  • What is the role of 'Diffusion Settings' when editing a selection in an image?

    -Diffusion settings are used to grow the selection, add a feather, and padding, helping the newly generated part of the image to blend better with the rest of the image.

  • What does 'Prompt Line Count' control in the AI plugin interface?

    -Prompt Line Count changes the number of lines in the prompt box in the docker, allowing users to add more space for their text prompts while considering the interface space it occupies.

  • Why is 'New Seed After Apply' recommended when resampling an image?

    -Using a new seed every time prevents images from looking oversharpened and noisy, providing more natural looking results as opposed to using the same seed which can lead to repetitive patterns.

Outlines

00:00

🎨 Introduction to Generative AI Plugin for CR

The speaker introduces a generative AI plugin for CR (Clip Studio Paint), expressing excitement about its capabilities for artists. The plugin integrates AI into the workflow and is both free and open-source. The video will cover installation and setup, with future content exploring various workflows and use cases. CR is likened to Photoshop and Procreate but with the added AI functionality provided by the plugin, which simplifies the use of stable diffusion through a node-based UI called Comfy UI. The speaker mentions the release of version 1.17 with new features but recommends using version 1.61 for stability. Audio inconsistencies in the video are acknowledged, and the speaker promises a comprehensive guide to the plugin's installation and setup.

05:02

🔌 Installation and Configuration of AI Image Generation Plugin

The speaker provides a step-by-step guide on installing the AI image generation plugin, starting with ensuring CR version 2.2 or later is installed. The plugin can be downloaded from a provided link, and installation involves importing a Python plugin from a zip file through CR's tools menu. After restarting CR, the plugin is enabled by checking 'AI image generation' in the settings. The speaker then delves into configuring the plugin, discussing options for connecting to Comfy UI, such as using a local managed server, custom server, or an online service. The importance of having the required models and nodes for the plugin to function correctly is highlighted, with a link to the necessary Comfy UI nodes and models provided. The speaker also touches on the space and component requirements for the local installation and the potential issues of running multiple Comfy UI installations.

10:03

🖼️ Exploring Advanced Settings and Customization Options

The video script covers the advanced settings of the AI image generation plugin, starting with the style presets that dictate how stable diffusion generates images. The plugin comes with preset configurations, but users can create custom ones. The model checkpoint is emphasized as a significant factor in determining the image's style, with various checkpoints catering to different artistic styles. The speaker suggests civit.ai as a resource for model checkpoints and advises users to adjust settings based on the specific model being used. The script also explains additional settings such as VAE, CLIP skip, preferred resolution, and V prediction, which can affect image quality and generation. The speaker discusses the use of style prompts to add consistent elements to all prompts and sampler settings for different modes of operation, such as generate, upscale, and live mode. The importance of selecting the right sampler and adjusting sampler steps and CFG scale for optimal results is highlighted. The script concludes with interface settings that affect the user experience, such as prompt line count and control ending step ratio, as well as performance settings to match the user's hardware.

Mindmap

Keywords

💡Generative AI plugin

A generative AI plugin is a software extension that integrates artificial intelligence capabilities into a host application to create or modify content. In the context of the video, it refers to a plugin for Krita (KR) that enables artists to use AI for image generation, enhancing their workflow with automated and creative features. The script mentions excitement about this tool, emphasizing its current status as a top choice for artists looking to integrate AI.

💡Krita (KR)

Krita is an open-source digital painting application that provides a wide array of features similar to other popular programs like Photoshop and Procreate. It is highlighted in the video as the platform for which the generative AI plugin is designed, offering artists a free and open-source alternative to paid software for their creative projects.

💡Stable Diffusion

Stable Diffusion is an image generation software that uses artificial intelligence to create new images from textual descriptions. The video script discusses using this software through a plugin that connects to Comfy UI, which simplifies the process of setting up nodes for Stable Diffusion, allowing it to be used directly on the canvas in Krita.

💡Comfy UI

Comfy UI is a node-based user interface for Stable Diffusion, which facilitates the configuration of the AI's image generation parameters. The video mentions a tutorial that delves deeper into Comfy UI and Stable Diffusion, indicating its importance in the process of using the AI plugin with Krita.

💡Docker

In the context of the video, a Docker refers to a user interface element in Krita that can be enabled to interact with the AI image generation plugin. It is first mentioned as something the user needs to check in the settings to start using the AI capabilities provided by the plugin.

💡Checkpoint

A checkpoint in the video refers to a specific state or version of a model used in AI image generation. Different checkpoints can affect the style and outcome of the generated images, with some being more photorealistic and others more artistic or anime-like. The script mentions that the choice of checkpoint has a significant impact on the image's appearance.

💡Control Nets

Control Nets are additional information files, known as 'luras,' that can be added to a model checkpoint to provide it with specific instructions or concepts for image generation. The video script explains that these can be adjusted in strength and are used to guide the AI in creating particular elements or styles within an image.

💡Sampler

In the context of AI image generation, a sampler is an algorithm that determines how the AI interprets the input text prompts to create an image. The video script discusses different sampler settings and their impact on image quality and generation time, suggesting that some are better for certain models or desired outcomes.

💡CFG Scale

CFG Scale refers to a setting that controls how closely the AI adheres to the text prompt when generating an image. A lower CFG scale gives the AI less creative freedom, potentially affecting the image quality but ensuring a closer match to the prompt. The script mentions adjusting this setting for different modes like generate, upscale, and live.

💡Live Mode

Live Mode is a feature of the AI plugin that allows the image to update in real-time as the user paints on the canvas. This requires a faster generation process to be practical, and the video script discusses settings that optimize the plugin for this mode, such as using a lower number of sampler steps and a different sampler algorithm.

💡Diffusion Settings

Diffusion settings in the video refer to options that control how selections in an image are edited or how new parts of an image blend with existing ones. These settings, such as growing the selection or adding a feather and padding, are used to improve the cohesion and visual continuity of the generated image.

Highlights

Introduction to a generative AI plugin for Krita, a free and open-source painting program.

The plugin integrates stable diffusion image generation into Krita's workflow.

Comfy UI, a node-based interface for stable diffusion, is utilized for image generation.

Version 1.17 of the plugin was released with new features during the video's production.

Recommendation to use version 1.61 of the plugin for stability.

Apology for audio inconsistencies due to refilming parts of the tutorial.

Instructions for installing Krita version 2.2 or later and the plugin.

Details on how to install the plugin from a downloaded zip file.

Enabling the AI image generation docker in Krita's settings.

Explanation of the local managed server for connecting Krita to Comfy UI.

Requirements for disk space and components for the local managed server.

Options for connecting to a custom local or remote server.

Information on the online service and cloud GPU for the plugin.

How to create and manage style presets for image generation.

Importance of model checkpoints for the look of generated images.

Use of control nets and their impact on image generation.

Sampler settings and their effect on image quality and generation speed.

Diffusion settings for editing selections within an image.

Interface settings for prompt line count and negative prompt visibility.

Performance settings to optimize the plugin for different hardware.

Upcoming part two of the tutorial covering different features.

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