Krita AI diffusion, A look at v1.15 update, bugs on older hardware and new cool features
TLDRThe video discusses the AI diffusion 1.15 update by akley for Krita, highlighting new features that enhance artwork editing capabilities, rivaling Adobe Photoshop's generative fill. It covers the update process, bug issues on older hardware, and workarounds, while also mentioning the new lightning model by Civ AI. The creator expresses hope for future improvements and bug fixes, despite the challenges faced with their current hardware.
Takeaways
- 🎨 The AI diffusion 1.15 update by akley for Krita introduces powerful new features, making it on par with Adobe Photoshop's generative fill.
- 🚀 Users can now edit and use their artwork in better ways than before, with more control to prevent glitching.
- 🔄 The update includes new core components and the ability to discard rendered elements, copy prompts, and improve the generative process.
- 🌟 Civ AI's new lightning model is highlighted for its versatility in rendering both fantasy creatures and humans.
- 🔧 The video provides a guide on how to update the AI diffusion plugin and what to expect from the new version.
- 🖌️ Auto-selection and outlining features are praised for their usefulness in the creative process.
- 🛠️ The script discusses potential improvements, such as the ability to save prompts as text files and import prompts from external sources.
- 🐞 The presenter encounters bugs on older hardware, such as the GTX 1070, and suggests possible workarounds.
- 💻 The video also addresses specific bugs and errors, offering solutions and hoping for future fixes from the developers.
- 🎥 The presenter shares personal experiences and tips on using the new features, including advice on sampler selection and prompt modification.
- 🤖 The AI diffusion's ability to read and work with the entire image is emphasized, improving the quality and accuracy of the generative process.
Q & A
What is the main focus of the Krita AI diffusion 1.15 update?
-The Krita AI diffusion 1.15 update introduces a variety of new features that enhance the editing capabilities of users, allowing them to utilize the software in ways that were not previously possible. The update is designed to be on par with Adobe's Photoshop generative fill, but with more control to prevent glitching.
How can users update their Krita AI diffusion to version 1.15?
-To update Krita AI diffusion to version 1.15, users can visit the GitHub page of the developer, download the zip file, extract it, and overwrite the existing files. Upon opening Krita, the software will prompt the user to update the configuration for the AI, ensuring all new features are included.
What is the significance of the new core components introduced in the 1.15 update?
-The new core components in the 1.15 update significantly improve the performance and functionality of Krita AI diffusion. These enhancements allow for better control over the generative process, more accurate auto-selection with outlining, and the ability to discard rendered elements that are not desired.
How does the AI diffusion 1.15 update address issues with glitching?
-The 1.15 update provides users with more control over the generative process, which helps to prevent certain types of glitching. This is achieved through features such as auto-selection with outlining and the ability to discard rendered elements, ensuring a smoother and more precise editing experience.
What is the role of the 'furnace model' mentioned in the script?
-The 'furnace model' is a new addition by Civ AI, which is designed for generating fantasy creatures but also works well with human figures. It allows users to see different types of renders and prompts shared by others, enabling them to test it out and achieve various artistic results.
What is the significance of the lightning model in the AI diffusion update?
-The lightning model is a new feature that has been integrated into the 1.15 update. It is designed to improve the performance and accuracy of the generative process, making it easier for users to achieve their desired results, especially when working with complex models.
What are some of the bugs encountered when using the AI diffusion 1.15 update on older hardware?
-Users running the AI diffusion 1.15 update on older hardware, such as the GTX 1070, have reported encountering bugs, including runtime errors related to data type mismatches. These issues can be mitigated by adjusting settings or using workarounds like adding a 'magic dot' to the image to allow for successful expansion.
How does the AI diffusion 1.15 update handle photo restorations?
-The AI diffusion 1.15 update offers enhanced capabilities for photo restorations, allowing users to remove content, such as a person from an image, more easily than before. The update provides more control over the generative process, enabling users to select areas and generate content that blends seamlessly with the existing image.
What are the benefits of using the 'expand' feature in the AI diffusion 1.15 update?
-The 'expand' feature in the 1.15 update allows users to extend the generative process beyond the initial prompt area, taking into account the entire image for a more cohesive and accurate result. This feature is particularly useful for tasks like photo restorations, where seamless blending of new content with the existing image is crucial.
What suggestions are made for future improvements in the AI diffusion update?
-The script suggests that future improvements could include the ability to save prompts as text files, import prompts from external files, and clear prompts for easier management. Additionally, there is a desire for the implementation of more samplers, such as the DPM Plus+ and 3M samplers, to provide users with greater control and variety in their generative outputs.
Outlines
🎨 Exploring AI Diffusion 1.15 Update Features
This video introduces the AI Diffusion 1.15 update for Cryer by Akley, highlighting its powerful new features that rival Adobe Photoshop's generative fill. The update improves control over art editing to prevent glitches, and the video offers a guide on how to update and leverage these new capabilities. It also mentions Civ AI's new 'Lightning Model', designed for generating fantasy creatures but also effective for human figures. The video includes a walkthrough of how to access and download the update from GitHub, hints at a future video covering the model in depth, and provides a look at community responses and shared prompt information.
🔧 Technical Details and New Sampler Integrations
This section delves into the technical enhancements and sampler integrations in the AI Diffusion 1.15 update. The update introduces new samplers like DPM Plus+ and SD, though some desired samplers are still missing. The video explains the potential for future sampler additions and their impact on rendering quality. It also covers the integration of 'lightning samplers' optimized for faster and more effective results, suggesting that these are simplified for user convenience and enhanced workflow efficiency. Additionally, the presenter uses practical examples to demonstrate how these updates improve the rendering process.
🖌️ Advanced Editing Techniques with AI
This segment focuses on advanced AI-based image editing techniques using the new update. It highlights how selecting the entire image for edits allows the AI to generate more context-aware and accurate modifications, particularly when adding complex elements like a glass beerstein. The video discusses various settings like 'neutral' and 'imp paint' for better blending and color accuracy in generated images. The presenter appreciates the seamless integration and the ability to correct minor rendering flaws, demonstrating the practical use of these features through a detailed editing process.
🛠️ Bug Fixes and Improvements in AI Diffusion
The video addresses specific bugs encountered in the AI Diffusion 1.15, comparing them to previous versions and discussing potential fixes. It provides an in-depth look at error messages, their meanings, and temporary solutions involving adjustments in RAM usage settings. The presenter shares a workaround for expanding image features without triggering errors, a problem noted in both the AI tool and Adobe Photoshop. The segment also includes a detailed explanation of how to implement these workarounds and their effects on the AI's performance.
📢 Community Engagement and Future Updates
In the final segment, the presenter discusses reaching out to the developer on Reddit to address bugs and suggests watching community response videos for potential fixes. The video also encourages viewers to share their experiences and hardware details to better understand and address common issues across different systems. The presenter reflects on the limitations of using older hardware like the GTX 1070 and expresses hope for future updates that might extend the usable life of such equipment. The video concludes with a call to action for viewers to engage with the content by liking, subscribing, and commenting.
Mindmap
Keywords
💡AI diffusion
💡Cryer
💡Generative fill
💡GitHub
💡Auto-selection
💡Furnace Model
💡Lightning model
💡Sampler
💡Render
💡Photo restoration
💡Hardware
Highlights
Krita AI diffusion 1.15 update introduces powerful new features, enhancing the software's capabilities for editing and using artwork.
The update brings features on par with Adobe's Photoshop generative fill, but with more control to prevent glitching.
GitHub repository for akley and Cryer tools provides valuable resources for auto selection and outlining, which are very handy for users.
The AI diffusion update is easy to install, simply requiring a download and extraction of a zip file, and an update within the Creer configuration.
Civ AI or civit AI has released a new lightning model designed for fantasy creatures but also works well for humans, offering new types of renders.
The 1.15 update includes new core components and features, making it the best version of the software yet.
Users can now discard rendered elements they don't like, a feature that allows for more precise editing.
The ability to copy prompts is a handy new feature, though there's a desire for a button to save prompts as text files for future use.
The lightning model and sampler are designed to work well together, streamlining the process and making it more user-friendly.
Samplers play a significant role in the render outcome and there's hope for more variety in future updates.
The pen tool from Cosmic is highlighted as a time-saver for selecting areas, improving the overall workflow.
The auto-selection feature expands images in a way that takes into account the entire image, leading to better results.
The generate custom feature allows for precise control over the generation process, improving the final render.
The 1.15 update includes a way to adjust the amount of paint outside the selection, leading to better blending and feathering.
The software now allows for content removal, making photo restoration easier and more efficient.
The ability to control the generative fill process is a significant improvement over previous versions and other software.
Despite the powerful new features, the 1.15 update has introduced some bugs on older hardware, such as the GTX 1070.
A workaround for the generative expand bug involves placing a dot in the image, which tricks the AI into processing the expand correctly.
The video creator expresses a desire for future updates to address bugs and provide more control options for users.
The AI diffusion 1.15 update is praised for its potential to enhance photo restorations and digital artwork, despite some bugs.