LCM for Krita - OVERPOWERED!!!!
TLDRDiscover the power of combining LCM with CR in digital painting, leveraging AI to turn anyone into a master painter without the need for traditional skills. The video showcases innovative workflows for generating avatars with varying expressions, using high-resolution photos with glitch effects, and creating anime-style pets. It guides viewers through installing and using CR and AI image diffusion, demonstrating how to generate images and refine them with personal touches, resulting in stunning, unique creations.
Takeaways
- 🎨 The video introduces a powerful combination of digital painting with AI in Krita using LCM and CR.
- 🤖 Three innovative AI workflows are showcased, including an avatar generator, full-resolution photo manipulation, and a pet creator.
- 🔧 CR (Creta) is required and can be downloaded for free as open-source software for Windows, Linux, and Mac.
- 🔄 The AI image diffusion plugin needs to be installed in the py cre folder and enabled within Krita's settings.
- 🖼️ Multiple control net extensions and models like realistic Vision, dream shaper, and chuga not XL can be installed for enhanced image generation.
- 🎨 Users can create their own styles in Krita by selecting style words and negative prompts, and save them for future use.
- 🖌️ The AI image generation tool in Krita allows for layer usage, where all visible layers contribute to the final image.
- 👩🎨 Even with basic drawing skills, users can create detailed images by combining their drawings with AI enhancements.
- 🛠️ The strength of the AI assistance can be adjusted using the D noise slider, allowing for control over the level of detail.
- 📸 The current AI-generated result can be copied as a layer for further editing or used as a new input for continuous creation.
- 😄 An upcoming live stream is teased where the creator will demonstrate more of these AI-powered painting techniques.
Q & A
What is the main theme of the video?
-The main theme of the video is the demonstration of how to use AI, specifically LCM and CR, to enhance digital painting and create various art styles with minimal effort.
What are the three workflows showcased in the video?
-The three workflows are an avatar generator, a full-size photo with a glitch effect, and a cavipet creator for generating pets in different styles.
What is the role of face detailer in the avatar generator workflow?
-The face detailer is used to change the emotion of the face while maintaining character consistency in the avatar generator workflow.
How can randomization be utilized in the avatar generator?
-Randomization is used to create an endless amount of automated prompts, resulting in different characters with the same facial expressions each time the CU button is clicked.
What software is required to follow the tutorial?
-To follow the tutorial, one needs CR (an open-source software available for Windows, Linux, and Mac) and the AI image diffusion plugin.
What are the steps to install and set up the AI image diffusion plugin?
-First, download the plugin and unpack it into the py Cre folder. Then, open Cre, go to settings, configure CR, enable the AI image diffusion plugin, and restart CR.
What types of GPUs are supported by the AI image diffusion plugin?
-The plugin supports Nvidia, AMD, Apple M1 and M2 CPUs, and Cloud GPUs.
How can the LCM (Latent Control Model) be utilized in the AI image generation process?
-LCM can be selected from the brush icon in the AI image generation section, where it can be used to enhance the generated image based on the strength setting and the layers visible in the document.
What is the purpose of the 'Copy Current Result' button?
-The 'Copy Current Result' button allows users to save the current generated image as a new layer, which can be used for further modifications or as a backup.
How does the strength slider affect the generated image?
-The strength slider, which controls the D noise, determines how much influence the user's drawing has on the generated image. A lower value means more influence, while a higher value makes the AI-generated aspects more prominent.
What additional features does the video mention for fine-tuning the AI-generated image?
-The video mentions the ability to use multiple layers, adjust the prompt and negative prompt in the settings, and select different checkpoints for more control over the final image.
Outlines
🎨 Introducing AI-Enhanced Digital Painting
The paragraph introduces the concept of leveraging AI to enhance digital painting skills. It explains that viewers don't need any prior painting experience as the power of AI will aid in creating art. The speaker showcases three workflows that integrate AI for interesting applications, such as an avatar generator that produces consistent character expressions, a glitch effect on high-resolution images, and a pet creator that adapts the input image's style to generate various pets. The paragraph emphasizes the innovative use of AI in art and provides a link to the speaker's Patreon for more workflows.
💻 Setting Up CR and AI Diffusion
This paragraph details the process of setting up the necessary software for AI-enhanced digital painting. It instructs the viewers to download and install CR, which is open-source and available for Windows, Linux, and Mac. The speaker also explains the installation of the AI image diffusion plugin, emphasizing the need for a version above 5.2. The paragraph further guides the audience through the configuration of CR settings, including the Python plugin manager and the AI image generation options. It advises on the selection of different control net extensions and the importance of restarting CR after installations and updates.
🖌️ Exploring AI Image Generation and Editing
The speaker delves into the features of AI image generation within the software, discussing the various styles and models available for selection. It highlights the use of style words and negative prompts to refine the AI's output. The paragraph also covers the use of the brush icon for selecting between different generation modes, such as appscale and animation life. The speaker demonstrates the use of the strength slider, which adjusts the influence of the user's drawing on the AI's output. It showcases the ability to use multiple layers and the ease of color selection and tool customization. The paragraph concludes with a live demonstration of creating an image using the AI, emphasizing the ease of use and the impressive results that can be achieved even with minimal input.
🌟 Finalizing and Customizing AI Art
In the final paragraph, the speaker discusses additional features for customizing and finalizing the AI-generated art. It explains how to copy the current result to a new layer for further editing or backup. The paragraph also covers the use of the freehand selection tool for targeted adjustments, such as changing the clothing color in the generated image. The speaker then adds a smile to the portrait and demonstrates how the AI can incorporate this change. The paragraph ends with an invitation to join a live stream for more interactive learning and a call to action for viewers to like and follow for more content.
Mindmap
Keywords
LCM
CR (Creta)
AI
Avatar Generator
Randomization
Glitch Effect
Image to Image
Styles
D noise
Layers
Prompt
Highlights
LCM combined with CR is massively powerful, allowing users to become master painters without prior painting skills by leveraging the power of AI.
The presenter has created three amazing workflows that showcase interesting concepts of using AI in digital painting.
An avatar generator is demonstrated, producing avatars with the same details but different facial expressions while maintaining character consistency.
Face detailer is used to change the emotion of the face in the avatar generator, adding a layer of customization.
Randomization is employed to create endless automated prompts, resulting in completely different characters with the same expressions every time the CU button is clicked.
A full-size, high-resolution photo can be used in conjunction with a glitch effect, pushing the boundaries of what was previously possible in stable diffusion.
The third workflow showcases a pet creator that takes any kind of pet input and generates a similar pet in an anime style without using IPA.
The pet creator can produce a variety of animals like tigers, unicorns, bears, and cats, demonstrating the flexibility of the workflow.
Creta (CR) is required for the tutorial, and it is available for Windows, Linux, and Mac for free as open-source software.
Instructions are provided for installing the AI image diffusion plugin into the Creta software, including the necessary steps for different operating systems.
The AI image generation interface within Creta is explored, including the selection of styles, prompts, and the use of GPU for rendering.
The strength slider, representing the D noise, allows users to adjust the influence of their drawings on the AI-generated image.
Multiple layers can be used in the AI image generation, with everything visible being rendered in the LCM or normal generation.
The copy current result to the image feature allows users to backup their work and use it as a new input for further customization.
The freehand selection tool enables users to isolate specific parts of the image for targeted adjustments.
The presenter demonstrates the ease of use and the powerful capabilities of the AI-assisted painting, transforming simple mouse drawings into detailed images.
An upcoming live stream is teased, promising more interactive fun and exploration of the AI painting capabilities.
The video concludes with a call to action for viewers to like, share, and join the live stream for more engaging content.