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 potential fixes. The creator also mentions the new lightning model by Civ AI, emphasizing the model's versatility and the community's shared prompts for testing.
Takeaways
- ๐จ The AI diffusion 1.15 update by akley for Cryer brings new features that enhance the editing capabilities of artwork, making it more powerful and on par with Adobe Photoshop's generative fill.
- ๐ Users can now have more control over the generative process, which helps prevent glitching and allows for better customization of the artwork.
- ๐ The update includes the ability to copy prompts and a suggestion for future versions to include the ability to save prompts as text files and import them directly.
- ๐ง A new feature allows users to discard rendered parts they don't like by right-clicking, providing more flexibility during the editing process.
- ๐ The update introduces a 'generate custom' option, which considers the entire image for context, leading to more accurate and controlled image generation.
- ๐ There's a mention of a new 'lightning model' by Civ AI that works well for both fantasy creatures and humans, showcasing the versatility of the tool.
- ๐พ The process for updating the AI diffusion is straightforward, involving downloading a zip file and extracting it to overwrite the existing files.
- ๐ฅ๏ธ The video discusses bugs encountered when using the AI diffusion on older hardware like the GTX 1070, suggesting that there might be memory management issues.
- ๐ ๏ธ A workaround for the generative expand error involves adding a dot to the image, which tricks the AI into processing the entire image correctly.
- ๐ The speaker expresses a desire for lower RAM settings or a checkbox to input arguments that could fix the bugs, indicating a need for optimization for different hardware capabilities.
- โ๏ธ Despite the bugs, the update is praised for its improvements and the potential it holds for photo restoration and digital artwork, even on older hardware.
- ๐ The video ends with an encouragement for viewers to like, subscribe, and share the content for better visibility and to help others facing similar issues.
Q & A
What is the main focus of the Krita AI diffusion 1.15 update by akley for Cryer?
-The Krita AI diffusion 1.15 update focuses on introducing new features that make the software more powerful and versatile, allowing users to edit their artwork in ways that were not possible before. The update brings it on par with Adobe's Photoshop for generative fill, with the added benefit of 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 akley, 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 lightning model introduced by Civ AI?
-The lightning model introduced by Civ AI is designed for generating fantasy creatures but has proven effective for rendering humans as well. It offers a new option for users to experiment with and has been well-received by the community, with some users sharing their prompt information for others to try.
What new core components and features does the AI diffusion 1.15 version bring to Krita?
-The AI diffusion 1.15 version introduces several new core components and features, such as the ability to discard rendered elements, copy prompts, and an enhanced auto-selection tool. It also includes new samplers like DPM Plus+, SD, and sgm, which can improve the quality and speed of rendering.
How does the 'expand' feature in the 1.15 update work?
-The 'expand' feature allows users to extend an image in a way that takes the entire image into account, rather than just the prompt information. This results in a more controlled and coherent expansion, avoiding random generation and ensuring a better blend with the original image.
What is the issue encountered when trying to use the face tool in the AI diffusion 1.15 update?
-Users may encounter a runtime error when using the face tool in the AI diffusion 1.15 update, particularly on older hardware. This error is related to a mismatch between expected data types, which may be resolved by adding specific arguments in the configuration file or by upgrading the hardware.
What is a workaround for the expand feature bug in the AI diffusion 1.15 update?
-A workaround for the expand feature bug involves placing a dot within the area to be expanded. This provides the AI with enough information to generate the expansion while avoiding errors related to insufficient data for the generative process.
What are the implications of using older hardware like the GTX 1070 with the AI diffusion 1.15 update?
-Using older hardware like the GTX 1070 with the AI diffusion 1.15 update may result in more bugs and slower performance. However, it is still possible to use the software effectively, and there may be workarounds for some issues. Users may need to adjust settings or consider upgrading their hardware for a better experience.
How does the AI diffusion 1.15 update enhance photo restorations?
-The AI diffusion 1.15 update enhances photo restorations by providing more control over the generative process, allowing users to remove or add content more easily. The update's features, such as auto-selection and expansion, make it more efficient and effective for photo restoration tasks.
What feedback does the speaker provide for the developers of the AI diffusion plugin?
-The speaker suggests that the developers could add a feature to include arguments in the settings to fix certain bugs and improve usability. They also express hope that the developers will address the issues faced on older hardware, allowing users to continue using the software effectively.
Outlines
๐ฅ Introduction to AI Diffusion 1.15 Update
The video begins with a warm welcome and an introduction to the AI Diffusion 1.15 update by akley for Cryer. The host highlights the new features of the update, emphasizing its enhanced capabilities that now rival Adobe's Photoshop in terms of generative fill, but with more user control to prevent glitching. The video also mentions a link to a tutorial on how to update the software and gives a shoutout to Civ AI for their newly released furnace model, which is capable of rendering both fantasy creatures and humans effectively.
๐ ๏ธ Exploring the New Features and Workflows
The host delves into the new features of the AI Diffusion 1.15 update, discussing the ability to auto-select with outlining and the inclusion of various samplers like DPM Plus+, SD, and SGM. The video touches on the desire to see more samplers in future updates and the potential reasons behind their absence. The host also explains the use of the lightning sampler, which is designed to work seamlessly with the lightning models for better performance and ease of use.
๐จ Demonstrating the Customization and Editing Capabilities
The video provides a practical demonstration of the AI Diffusion's customization and editing capabilities. The host shows how to select and modify specific parts of an image, such as discarding unwanted elements and copying prompts. The focus is on the new options for content generation, selection borders, and masks, as well as the ability to adjust the AI's behavior with settings like 'neutral' and 'imp paint' for seamless blending and improved rendering results.
๐ Discussing Bugs and Their Workarounds
The host discusses encountering bugs in the AI Diffusion 1.15 update, sharing specific error messages and their potential causes. The video explores workarounds for these issues, such as adding a 'magic dot' to resolve generative expand errors. The host expresses hope that the plugin's creator, suspicious Firefly, will address these bugs in future updates. The video also acknowledges the limitations of older hardware and the host's personal challenges with upgrading their system.
๐ข Final Thoughts and Call to Action
In the concluding segment, the host shares final thoughts on the AI Diffusion 1.15 update, praising its powerful features and improved capabilities for photo restorations and digital art. The host encourages viewers to like, subscribe, and turn on notifications for future content, and invites them to share their experiences with the software, including hardware specifications, render times, and resolutions. The video ends with a thank you note for watching and a teaser for the next video.
Mindmap
Keywords
๐กAI diffusion
๐กCryer tools
๐กGitHub
๐กgenerative fill
๐กglitching
๐กauto-selection
๐กfurnace Model
๐กprompt information
๐กsampler
๐กrender time
๐กbugs
Highlights
Krita AI diffusion v1.15 update introduces powerful new features, making it on par with Adobe Photoshop's generative fill.
The update allows for better control to prevent glitching in artwork edits.
Auto-selection with outlining feature is now available for more precise editing.
AI diffusion can now be updated easily by downloading a zip file and overwriting the existing files.
Civ AI has released a lightning model designed for rendering fantasy creatures, but also works well for humans.
The new version includes the ability to copy and paste prompts for easier editing and generation.
The lightning sampler is introduced, which is optimized for use with the new models.
The DPM Plus+, SD, and SGM samplers are not yet available in the new version, but are highly anticipated.
The auto-selection feature expands images by considering the entire image, leading to more accurate fills.
The generate custom function allows for specific content selection and border masking for more control in image generation.
The update includes options to adjust the diffusion and paint outside of selections for better blending.
The ability to remove content from an image has been improved, making photo restoration easier.
The update has introduced some bugs on older hardware, such as the GTX 1070.
A workaround for the expand error involves adding a dot to the image before processing.
Despite the bugs, the new features in v1.15 are highly appreciated and offer significant improvements.
The video creator plans to reach out to the plugin developer, supicious Firefly, to address the bugs found.
The new update allows for photo restoration and digital painting with more control and ease than before.
The video encourages viewers to share their experiences with the new update and their hardware configurations.