LCM for Krita - OVERPOWERED!!!!

Olivio Sarikas
15 Mar 202411:36

TLDRDiscover how to harness the power of LCM and CR in Krita to transform into a master painter without traditional painting skills. This video showcases innovative AI workflows, including an avatar generator with varying expressions, a glitch effect on high-resolution photos, and a pet creator for anime-style images. Learn how to install and configure CR and AI diffusion, create styles, and use the AI image generation tool to produce stunning artwork with minimal effort.

Takeaways

  • 😲 LCM combined with CR is described as 'massively overpowered', suggesting a powerful digital painting tool enhanced by AI.
  • 🎨 The tutorial aims to transform users into 'master painters' without needing traditional painting skills, indicating AI's role in democratizing art creation.
  • 🤖 AI is used to generate avatars with consistent character details but varying facial expressions, showcasing the versatility of AI in character design.
  • 🔄 Randomization techniques are employed to create endless character variations, highlighting AI's ability to foster creativity through unpredictability.
  • 🖼️ Full-resolution photos, typically unusable in stable diffusion, are integrated with glitch effects, demonstrating AI's potential to enhance traditional media.
  • 🐾 A pet creator workflow is introduced, allowing users to input any pet type and receive a stylized, anime-inspired version, showing AI's adaptability in style transfer.
  • 💻 CR (Creta) is available for Windows, Linux, and Mac, and is open-source, emphasizing the accessibility of the tool.
  • 📱 The tutorial guides users through installing and configuring CR and the AI diffusion plugin, ensuring a smooth setup process for users.
  • 🎭 Users can select different 'styles' for image generation, including 1.5 and XL styles, indicating a variety of creative options within the tool.
  • 🖌️ The strength slider controls the influence of the user's drawing on the AI generation, allowing for a balance between user input and AI creativity.
  • 🎥 The ability to record the animation of creations provides a dynamic way to showcase the painting process, adding a new dimension to digital art.

Q & A

  • What does LCM stand for in the context of Krita?

    -LCM stands for 'Line Color Management', which is a feature in Krita that enhances digital painting with the power of AI.

  • What is the significance of combining LCM with CR in Krita?

    -Combining LCM with CR (Creta) in Krita is considered 'massively overpowered' as it allows users to create digital paintings with AI assistance, even without traditional painting skills.

  • What are the three amazing workflows mentioned in the script?

    -The three workflows mentioned are: 1) An avatar generator that creates avatars with consistent character details but different facial expressions using face detailer, 2) A full-size, high-resolution photo integration with a glitch effect using stable diffusion, and 3) A pet creator that generates pets in a specific style without using IPA.

  • How does the avatar generator in the workflow create consistent characters?

    -The avatar generator uses face detailer to change the emotion of the face while maintaining character consistency, allowing for different expressions in the same avatar.

  • What is the role of randomization in the avatar generator workflow?

    -Randomization in the avatar generator workflow creates an endless variety of automated prompts, resulting in a completely different character each time the CU button is clicked.

  • What is the significance of using a full-size, high-resolution photo in the second workflow?

    -Using a full-size, high-resolution photo in the second workflow is significant because it allows for the application of a glitch effect over the image, which is not typically possible with stable diffusion.

  • How does the pet creator workflow differ from using IPA?

    -The pet creator workflow differs from using IPA (Image Prompt Augmentation) by not being limited to the original character, allowing for the creation of various pets like tigers, unicorns, and bears in a consistent style.

  • What is the minimum version of Creta required to use the AI image diffusion plugin?

    -The minimum version of Creta required to use the AI image diffusion plugin is 5.2.

  • How can users obtain the AI image diffusion plugin for Creta?

    -Users can obtain the AI image diffusion plugin by downloading it from the Creta website, unpacking it into their 'py Cre' folder, and enabling it through the Python plugin manager in Creta's settings.

  • What is the purpose of the 'Styles' section in the AI image generation of Creta?

    -The 'Styles' section in the AI image generation of Creta allows users to set style words for their prompt and negative prompt, which can be saved and selected for different creations.

  • How does the strength slider in the AI image generation affect the output?

    -The strength slider, which corresponds to the D noise, determines the influence of the user's drawing on the AI-generated image. A higher strength means the AI takes less of the user's drawing into account, while a lower strength means the AI incorporates more of the user's input.

Outlines

00:00

🎨 Introduction to AI-Powered Digital Painting

The speaker introduces a tutorial on digital painting with AI assistance, specifically using LCM combined with CR. They mention that no prior painting skills are required and highlight three workflows they've created to demonstrate AI's capabilities. The first workflow is an avatar generator that produces avatars with consistent details but varying facial expressions using a face detailer tool. The second workflow involves using high-resolution photos with a glitch effect, which is not typically possible with stable diffusion. The third workflow is a pet creator that generates pets in various styles without being restricted to a specific character, thanks to the use of 'Allora' instead of IPA. The speaker encourages viewers to check out their Patreon for these workflows and then proceeds to guide the audience through installing and setting up CR and its AI diffusion plugin.

05:01

🛠️ Setting Up CR and AI Diffusion Plugin

The tutorial continues with instructions on downloading and installing CR, which is available for Windows, Linux, and Mac and is open-source. The speaker emphasizes the need for a version above 5.2 and provides guidance on downloading and installing the AI diffusion plugin. They explain how to place the plugin in the correct folder and configure it within CR's settings. The process includes enabling the AI image diffusion plugin through the Python plugin manager and restarting CR. The speaker also covers the installation of various control net extensions and models, suggesting a selection of these for optimal use. Once everything is set up, they guide viewers on how to configure the AI image generation settings, including style words, negative prompts, and checkpoints, and how to save these settings for future use.

10:02

🖌️ Creating Art with AI-Assisted Image Generation

The speaker demonstrates the AI image generation process in CR, explaining the different sections and tools available. They show how to use style words and negative prompts to guide the AI in creating images and discuss the importance of selecting the right GPU for processing. The tutorial includes a live demonstration of generating an image with a simple prompt, illustrating how the AI can create detailed artwork with minimal input from the user. The speaker also explores the use of layers in the AI generation process, showing that multiple layers can be utilized without issue. They highlight the ability to adjust the strength of the AI's influence on the final image and demonstrate how to copy the AI-generated result to a new layer for further editing. The paragraph concludes with a mention of an upcoming live stream where the speaker will further explore these techniques and encourages viewers to join for a fun and interactive session.

Mindmap

Keywords

LCM

LCM, or Line Color Mode, is a feature in the Krita digital painting software that allows for the application of color to lines based on the color of the canvas beneath. In the context of the video, the presenter uses LCM in combination with CR (Controlled Randomness) to demonstrate how it can be massively overpowered, suggesting that it greatly enhances the creative capabilities of digital artists without requiring traditional painting skills.

CR (Controlled Randomness)

Controlled Randomness is a technique that combines the power of AI with digital painting to create unique and varied outputs while maintaining a level of control over the final result. The video script mentions that CR, when combined with LCM, can turn viewers into 'master painters', indicating that it simplifies the creative process and allows for impressive results with minimal traditional artistic skill.

AI

AI, or Artificial Intelligence, is a branch of computer science that aims to create machines capable of intelligent behavior. In the video, AI is used in conjunction with digital painting tools to generate artwork. The script discusses how AI can be used to create avatars with different expressions while maintaining character consistency, showcasing the advanced capabilities of AI in the creative process.

Avatar Generator

An Avatar Generator is a tool that creates digital representations of users, often for use in virtual environments or online platforms. In the video script, the presenter mentions an avatar generator that can produce avatars with the same details but different facial expressions, demonstrating the versatility and customization capabilities of AI-driven tools in creative applications.

Face Detailer

Face Detailer is a feature or tool used to manipulate and refine the details of a face in a digital image. The script explains that the presenter uses Face Detailer to change the emotion of the face in their avatar generator, highlighting how specific AI tools can be employed to add depth and variation to digital creations.

Randomization

Randomization in the context of the video refers to the process of generating varied outputs through AI algorithms. The script describes how randomization is used to create an endless amount of automated prompts, allowing for the generation of unique characters each time a button is clicked, showcasing the potential for AI to produce a wide range of creative outcomes.

Stable Diffusion

Stable Diffusion is a type of AI model used for generating images from text prompts. The video script mentions using full-resolution photos with Stable Diffusion, which is typically not possible, to create glitch effects over the images. This demonstrates an advanced use of AI in image generation, pushing the boundaries of what is traditionally achievable.

Image to Image

Image to Image is a process where an AI takes an existing image as input and generates a new image based on that input. The video discusses using 'Image to Image' without IPA (Image Prompt Augmentation) to create pets in an anime style, indicating that the AI can adapt the style of the input to produce outputs in a similar artistic vein.

Cavi Pet Creator

Cavi Pet Creator is a specific application or tool mentioned in the script for generating pet images in various styles. The presenter uses it to create pets that are similar to the input style but can be customized to appear as different animals like tigers, unicorns, or bears, showing how AI can be used to create diverse and imaginative content.

CR AI Diffusion

CR AI Diffusion is a plugin mentioned in the video for Krita that integrates AI capabilities into the software. The script details the installation process for this plugin, emphasizing its importance for utilizing AI features within Krita. It's a key component that enables the advanced AI-driven painting techniques discussed throughout the video.

Styles and Prompts

Styles and Prompts are textual descriptions used to guide AI in generating images. The video script describes how to set up style words and negative prompts to influence the AI's output. These are crucial for steering the AI's creativity towards desired outcomes, as seen when the presenter configures the AI to generate images based on their prompts.

Highlights

LCM combined with CR is massively overpowered for digital painting.

AI can turn you into a master painter without needing to know how to paint traditionally.

Three amazing workflows are showcased using AI for creative concepts.

An avatar generator creates consistent characters with different facial expressions.

Utilizing face detailer to change emotions in AI-generated faces.

Randomization creates endless randomized prompts for character generation.

Experiments with full-resolution photos in stable diffusion for glitch effects.

Image-to-image AI using Allora for anime style without IPA constraints.

Cavi pet Creator allows generating pets in various styles from a single input.

CR is open-source software available for Windows, Linux, and Mac.

CR AI diffusion supports various GPUs including Nvidia, AMD, Apple M1 and Cloud GPU.

Installation instructions for CR AI diffusion are provided.

CR AI diffusion can be enabled through the Python plugin manager in CR.

Different control net extensions and models like realistic Vision and dream shaper are available.

AI image generation in CR includes style words and negative prompts for customization.

The strength slider in CR controls the influence of the AI on the generated image.

Multiple layers can be used in LCM generation, not just the active layer.

CR's interface includes a color selector and customizable tool settings for painting.

In-painting feature allows adding or modifying details in the generated image.

The ability to copy the current AI result to a new layer for further editing.

An upcoming live stream is announced for further exploration of CR's capabilities.

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