Using Krita AI Diffusion as an artist

nodonmai
22 Apr 202412:05

TLDRThis video offers a showcase of the Krita AI Diffusion extension, highlighting its benefits over other stable diffusion interfaces for artists. It simplifies parameter adjustments and allows direct drawing and tool usage within Krita. The tutorial covers using AI to enhance sketches and create detailed artwork, emphasizing the importance of training AI on personal art to achieve a consistent style. It also touches on live mode drawing, AI-generated image refinement, and the use of upscaling for higher resolution. The video concludes with tips for setting up AI in Krita and adjusting settings for optimal results.

Takeaways

  • 🎨 The video showcases the use of Krita AI Diffusion extension for artists, demonstrating its capabilities and setup.
  • 🔧 The extension allows artists to draw directly within Krita and utilize its tools, streamlining the workflow.
  • 📈 It simplifies AI parameters, making them more accessible compared to other stable diffusion interfaces.
  • 🖌️ A potential downside is the learning curve for those accustomed to other art programs, although it can be mitigated by transferring work between programs.
  • 🌟 The video highlights the benefits of training AI models on personal artwork to achieve a style match and creative exploration.
  • 🚀 AI can enhance regular drawings by refining details and adhering to the artist's original sketch, controlled by a strength slider.
  • 🎭 Live mode provides real-time AI feedback on drawings, with the refinement process helping to blend manual changes into the AI-generated image.
  • 🖼️ Starting from a full AI generation allows for significant manual adjustments, showcasing the flexibility of AI in artistic creation.
  • 📊 The video suggests using higher resolution canvases for better AI detail work and recommends upscaling as the final step to preserve details.
  • 🛠️ For optimal results, the video advises on settings adjustments, including using different seeds to reduce artifacts and oversharpening.
  • 🎥 The presenter also recommends external color correction to remove any color tinting resulting from AI refinement processes.

Q & A

  • What is the main benefit of using Krita AI over other stable diffusion user interfaces?

    -The main benefit of using Krita AI is that you can draw directly within the interface and use all of Krita's tools, eliminating the need to switch back and forth between your art program and the AI interface.

  • What are some of the simplified parameters in Krita AI compared to other user interfaces?

    -Krita AI simplifies parameters, making them easier to understand and adjust compared to the more complex options available in other user interfaces.

  • What downside is mentioned regarding the use of Krita AI for artists who are accustomed to other art programs?

    -The downside is that artists might be used to other art programs, and adapting to Krita AI, with its particularities, can take time to learn and get used to.

  • How can artists integrate Krita AI with their main art program if they prefer not to switch to Krita entirely?

    -Artists can copy and paste layers or save their files and open them in both programs. However, for Clip Studio Paint, it might be better to export to PSD between programs due to potential issues with direct copying and pasting.

  • What is the significance of training the AI model on an artist's own works?

    -Training the AI model on an artist's own works helps the AI stick closer to the artist's style and drawing techniques, and can also help visualize things never drawn before.

  • How does the AI enhance an artist's workflow by starting with a sketch?

    -The AI can enhance an artist's workflow by taking a sketch and refining it, with the artist adjusting the strength slider to control the extent of the changes made by the AI.

  • What is the difference between using AI to enhance a sketch versus starting from a full AI generation?

    -Enhancing a sketch involves starting with a manual drawing and using AI to refine details, while starting from a full AI generation involves creating an image from scratch using AI, then making manual adjustments as needed.

  • What is the live mode in Krita AI and how does it assist artists?

    -Live mode in Krita AI provides almost real-time feedback on the artist's drawing, showing how the AI is improving or completing the artwork as they draw.

  • What is the recommended approach for working on smaller details in AI-generated images?

    -For smaller details, it is recommended to resize the canvas to a higher resolution to allow the AI to better work on these smaller parts.

  • How can artists upscale their AI-generated images while maintaining detail and sharpness?

    -Artists can use the built-in upscaler function to increase the resolution in detail, similar to wfu 2x, and then refine the upscale to remove artifacts that may be added by the upscaler.

  • What is the importance of color correction in the AI image generation process?

    -Color correction is important to remove color tinting that can appear after multiple refine passes, and can be done within Krita or in an external program like Photoshop.

Outlines

00:00

🎨 Introduction to B AI's Diffusion Extension

This paragraph introduces B AI's diffusion extension, which is a tool that allows users to draw directly within the interface and utilize various tools without switching between different programs. It emphasizes the simplicity of parameters and the ease of understanding compared to other interfaces. The downside mentioned is the learning curve associated with adopting a new art program. The script also discusses the process of copying and pasting layers between Clip Studio Paint and Crea, suggesting exporting to PSD for easier transitions. It showcases examples of image generations using different models, highlighting the importance of training AI on personal artwork to achieve a closer match to one's style. The paragraph concludes with a discussion on the AI's ability to generate content in the artist's style, even for subjects never drawn before, and touches on the debate around AI and originality.

05:02

🖌️ Enhancing Workflow with AI in Art Creation

The second paragraph delves into how AI can enhance an artist's workflow by improving regular drawings. It explains the process of starting with a sketch and using the AI to refine it, adjusting the strength slider to control the degree of AI influence. The paragraph illustrates how the AI can maintain the original sketch's features while enhancing details. It also introduces the concept of live mode, where artists can draw and see AI's real-time improvements. The artist can continue to manually refine the image, using the 'send to canvas' feature and adjusting the strength slider as needed. The paragraph also discusses starting with a full AI generation and manually adjusting details to achieve the desired outcome, emphasizing the iterative process between manual drawing and AI refinement. It suggests using higher resolution for detailed work and mentions the use of an upscaler function to increase image resolution while maintaining detail clarity.

10:04

🛠️ Advanced AI Techniques and Settings in Artwork

The final paragraph provides an overview of advanced settings and techniques for using AI in artwork. It discusses the importance of proper settings and setup, recommending further research and guides for better understanding. The paragraph touches on concepts like checkpoints, lurus, and daes, which are crucial for AI training and performance. It also covers interface settings, such as the 'new seat after apply' option, which can reduce artifacts in live mode. The paragraph concludes with a recommendation for color correction to fix any tinting issues that may arise from multiple refinements, suggesting both internal and external methods for achieving the best results. The artist emphasizes that AI is a learning tool and not a theft of models, and encourages viewers to explore its potential without being overly technical.

Mindmap

Keywords

💡Krita AI Diffusion

Krita AI Diffusion refers to the use of artificial intelligence, specifically diffusion models, within the Krita digital painting software. This technology allows artists to generate images based on text prompts or to enhance their existing artwork. In the video, the presenter showcases how Krita AI Diffusion can be used to streamline the artistic process, providing examples of image generation and enhancement directly within the Krita interface.

💡Extension

In the context of the video, an 'extension' refers to a plugin or add-on that extends the functionality of a software program. The presenter mentions an AI diffusion extension for Krita, which allows for AI-assisted image generation and editing directly within the Krita environment. This extension simplifies the process by integrating AI capabilities into the familiar toolset of the art program.

💡Stable Diffusion

Stable Diffusion is a type of AI model used for generating images from text descriptions. It is part of a broader category of AI technologies known as diffusion models. The video discusses using Krita AI Diffusion as an alternative to other stable diffusion user interfaces, highlighting the benefits of working within Krita's familiar environment and tools.

💡Parameters

Parameters in this context are the settings or variables that users can adjust to control the behavior of the AI diffusion model. The video mentions that Krita AI Diffusion simplifies these parameters, making them more accessible and easier to understand for artists who may not be as familiar with the technical aspects of AI image generation.

💡Art Program

An 'art program' refers to software designed for creating digital art. Krita is an example of an art program, and the video discusses the benefits of using Krita AI Diffusion as part of an artist's workflow within this program. It contrasts the seamless integration of AI capabilities in Krita with the need to switch between different programs when using other AI interfaces.

💡Layer

In digital art, a 'layer' is a separate, editable plane of content within an image. The video script mentions copying and pasting layers between Krita and other art programs as a way to integrate AI enhancements into an artist's workflow. This process allows for non-destructive editing and the ability to combine AI-generated elements with hand-drawn work.

💡Model

In the context of AI and image generation, a 'model' refers to a trained AI system that can produce images based on input data. The video discusses various models, including 'migi mix' and custom models trained on the artist's own work, which are used to generate images with specific styles or characteristics.

💡Cartooner Style

The term 'cartooner style' refers to a specific artistic style characterized by exaggerated features and simplified forms, often associated with cartoon or comic book art. The video mentions that training an AI model on an artist's work can help the AI generate images that closely match the artist's cartooner style, demonstrating the customization capabilities of AI diffusion models.

💡Strength Slider

The 'strength slider' is a control within the AI diffusion interface that adjusts the degree to which the AI modifies an image. A higher setting results in more significant changes, while a lower setting preserves more of the original sketch or image. The video provides examples of how adjusting the strength slider can allow artists to balance AI enhancements with their manual drawing.

💡Upscale

To 'upscale' an image in digital art terms means to increase its resolution while maintaining or improving its quality. The video describes using an upscale function in Krita AI Diffusion to enhance the detail and clarity of an image. It also mentions the potential need to manually refine the image after upscaling to address any artifacts introduced by the process.

💡Real-time Feedback

Real-time feedback in the context of the video refers to the immediate visualization of changes as an artist draws, with the AI model providing enhancements or completions on the fly. The video notes that the speed of this feedback can depend on the capabilities of the artist's graphics card, with faster cards offering closer to real-time interactions.

Highlights

Introduction to using Krita AI Diffusion as an artist's tool.

Krita AI Diffusion extension can be downloaded from a link in the description.

The extension allows for direct drawing and use of Krita's tools within the AI interface.

Parameters in Krita AI are simplified compared to other stable diffusion interfaces.

Learning Krita might be necessary for those accustomed to other art programs.

Tips for integrating Krita with Clip Studio Paint and other art programs.

Demonstration of image generation using a regular anime model called Migi Mix.

Using custom models trained on the artist's own work for personalized AI assistance.

Importance of training AI on personal artwork to maintain artistic style.

Example of generating vehicles, animals, and males in the artist's unique style.

Two main ways AI can enhance an artist's workflow: enhancing regular drawings and starting from full AI generations.

Technique for using AI to refine and detail sketches while maintaining the original composition.

Real-time feedback during drawing with the live mode feature.

Using the 'send to canvas' function to integrate AI enhancements into manual drawings.

Adjusting the strength slider to control the degree of AI influence on the artwork.

Recommendation to start with a 1024x1024 canvas for detailed AI work.

Using the built-in upscaler function to increase image resolution with detail.

Tips for avoiding artifacts when using the upscaler and refining upscaled images.

Advice on when to use the upscale function in the artistic workflow.

Encouragement to experiment with AI to enhance artistic vision and workflow.

Resources for learning more about Krita AI Diffusion and stable diffusion concepts.

Overview of settings available in Krita AI for customizing the AI diffusion experience.

Recommendation for color correction to remove tinting after AI refinement.

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