Krita AI diffusion, A look at v1.15 update, bugs on older hardware and new cool features

Streamtabulous
9 Mar 202428:18

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, allowing for better usability on older graphics cards.

Takeaways

  • 🎨 The AI diffusion 1.15 update by akley for Cryer introduces powerful new features, enhancing the editing capabilities of artwork.
  • 🌟 The update brings features on par with Adobe's Photoshop generative fill, but with more control to prevent glitching.
  • 🔧 The AI diffusion can be updated easily by downloading a zip file from GitHub and extracting it to overwrite the existing files.
  • 🔍 Auto-selection and outlining features are now available, making it easier to refine artwork.
  • 💡 Civ AI has released a new lightning model designed for fantasy creatures but works well with humans too, offering new render possibilities.
  • 🖌️ The new core components in the 1.15 version provide better performance and more functionalities than previous versions.
  • 📌 Users can now discard rendered elements they don't like and copy prompts for easier adjustments.
  • 🎯 The update includes options to generate custom content based on the entire image or specific selections, improving accuracy.
  • 🐞 Some bugs are reported on older hardware, such as the GTX 1070, including issues with the face tool and generative expand.
  • 🔧 A workaround for generative expand errors involves placing a dot in the area to be expanded, providing the AI with a reference point.

Q & A

  • What is the main focus of the AI diffusion 1.15 update by akley for Cryer?

    -The AI diffusion 1.15 update by akley for Cryer focuses on introducing new features that make the tool more powerful and controllable, allowing users to edit their artwork in ways that were not previously possible, and offering features comparable to Adobe's Photoshop generative fill.

  • How can users update their AI diffusion to the latest version?

    -Users can update their AI diffusion by clicking on the download link, which will take them to a page to download a zip file. After extracting the zip file, they should overwrite the existing files and then open their Cryer software. The AI configuration will prompt them to update, ensuring they check all options to get all the new features.

  • What is the new feature that allows users to discard rendered parts of their artwork?

    -The new feature allows users to right-click on a rendered part of their artwork that they do not like and select 'discard' to remove it.

  • What is the significance of the 'entire image' selection in the AI diffusion tool?

    -Selecting 'entire image' makes the AI consider the whole image when generating changes, which helps in maintaining consistency and context. It allows the AI to recognize elements like hands and ensures that these are appropriately included or modified in the generated content.

  • What is the issue faced when trying to use the AI diffusion tool on older hardware like the GTX 1070?

    -Users may encounter bugs and runtime errors when using the AI diffusion tool on older hardware like the GTX 1070. These issues may be related to the hardware's limitations in processing the more demanding tasks of the updated software.

  • How can users report bugs or issues they encounter with the AI diffusion tool?

    -Users can report bugs or issues by reaching out to the developer, Suspicious Firefly, on Reddit or through other support channels provided by the developer.

  • What is the workaround for the 'expand' feature when encountering an error on older hardware?

    -The workaround involves adding a dot to the area the user wants to expand. This provides the AI with enough information to understand that the area needs to be filled without generating unrelated content.

  • What is the role of the 'lightning model' mentioned in the script?

    -The 'lightning model' is a new addition that is designed for generating fantasy creatures but also performs well with human renders. It offers users more capabilities for creating detailed and specific imagery.

  • How does the AI diffusion tool help with photo restoration?

    -The AI diffusion tool can be used for photo restoration by allowing users to selectively remove content, such as unwanted elements or damage, and then generate the missing parts in a way that blends seamlessly with the rest of the image.

  • What is the recommended setting for users experiencing bugs on low RAM configurations?

    -Users experiencing bugs on low RAM configurations are advised to set the performance to 'low RAM' in the configuration settings to reduce the processing demands on their hardware.

  • What is the importance of being able to control the 'paint outside' setting in the AI diffusion tool?

    -The 'paint outside' setting allows users to control how much the AI generates content beyond the selected area. This is important for achieving a natural and seamless blend between the generated content and the existing parts of the image.

Outlines

00:00

🎥 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 and improved capabilities of the update, comparing its generative fill feature to Adobe's Photoshop. The host also mentions a video tutorial for updating the software and gives a shout out to Civ AI for their newly released furnace model, specifically the lightning model, which is capable of rendering both fantasy creatures and humans effectively. The summary also touches on the importance of checking for updates and installing them to access the full range of features.

05:01

🛠️ Exploring the New Features and Samplers

In this segment, the host delves deeper into the new features of the AI Diffusion 1.15 update. They discuss the addition of the 'find it, Styles lightning' feature and its implementation in the model. The host also expresses their desire to see certain samplers, such as DPM Plus+ and 3M, included in future updates. They explain the significance of samplers in affecting the final render and discuss the potential reasons behind the current selection of samplers. The host then moves on to demonstrate the practical application of the software, including the use of the pen tool for selection and the various options available for content generation and image expansion.

10:02

🖌️ Artwork Editing and Customization

The host showcases the advanced editing capabilities of the AI Diffusion 1.15 update, emphasizing the ease of use and the control it offers over the generative process. They discuss the ability to discard rendered elements, copy prompts, and the desire for a feature to save prompts as text files. The host also highlights the 'entire image' selection option, which allows the AI to consider the whole image when generating content, resulting in more accurate and seamless edits. They demonstrate the 'generate custom' feature and discuss the importance of selecting the right settings for optimal results, such as the 'seamless' option to avoid color distortion. The host shares their excitement about the improvements and compares the new functionalities to those of Adobe's software.

15:03

🐞 Addressing Bugs and Issues

The host brings attention to some bugs they have encountered while using the AI Diffusion 1.15 update. They describe a runtime error related to data type mismatches and discuss a potential workaround involving altering configuration settings. The host also mentions that similar issues were present in previous versions of the software and were resolved by adding specific arguments in the bat file. They express their hope that the developer, suspicious Firefly, will address these issues in future updates. The host shares a practical workaround for the 'expand' feature bug, which involves adding a dot to the image to provide the AI with enough information to complete the task. They emphasize the importance of such fixes for users working with older hardware.

20:05

📢 Final Thoughts and Call to Action

In the concluding part of the video, the host reflects on the overall experience with the AI Diffusion 1.15 update. Despite the bugs and issues, they appreciate the enhanced power and control the update provides, especially for photo restorations and digital artwork. The host also discusses their personal challenges with hardware limitations and financial constraints, expressing hope that the developer can find solutions to make the software more accessible and efficient for users with older hardware. They encourage viewers to like, subscribe, and share the video for wider reach and to provide feedback on their experiences with the software, including hardware specifications, render times, and resolutions. The host signs off, inviting viewers to join them in the next video.

Mindmap

Keywords

💡AI diffusion

AI diffusion refers to a technique used in image processing and generation where artificial intelligence algorithms are employed to create, modify, or enhance images. In the context of the video, AI diffusion is a significant update to the Krita software, which introduces new features for editing and generating artwork, making it more powerful and versatile than before. The update is compared to Adobe's Photoshop in terms of its generative fill capabilities but with added control to prevent unwanted glitching or artifacts in the artwork.

💡Krita

Krita is an open-source digital painting software that is widely used by artists and designers for creating 2D graphics and illustrations. In the video, the presenter discusses the AI diffusion update for Krita, which is a significant upgrade that introduces new features and improvements to the software's capabilities. The update is celebrated for its ability to enhance artwork in ways that were not previously possible, bringing Krita's functionalities on par with industry-standard software like Adobe Photoshop.

💡1.15 update

The 1.15 update refers to the specific version of the AI diffusion plugin for Krita. This update is highlighted in the video as it introduces a plethora of new features and improvements that make the software more powerful and user-friendly. The presenter of the video goes through the details of this update, explaining how it allows for better control over the generative aspects of the software, and how it compares to other industry-standard tools like Adobe Photoshop.

💡Adobe Photoshop

Adobe Photoshop is a widely recognized industry-standard software for image editing and manipulation. In the video, it is used as a benchmark to compare the capabilities of the Krita AI diffusion 1.15 update. The presenter notes that the new features in the Krita update allow for similar, if not superior, generative fill capabilities as Photoshop, but with the added benefit of more control to prevent unwanted visual artifacts known as glitching.

💡Glitching

Glitching in the context of digital art and image processing refers to unintended visual artifacts or distortions that occur in a generated image. In the video, the presenter discusses how the new features in the Krita AI diffusion 1.15 update help to prevent glitching, thereby improving the quality and reliability of the generated artwork. This is an important aspect of the update, as it allows artists to have more control over the final output of their digital creations.

💡GitHub

GitHub is a web-based platform that provides version control and collaboration features for software development projects. In the video, the presenter mentions GitHub while discussing the AI diffusion plugin for Krita, which is developed by a user named 'akley'. The platform is where the updated plugin can be found and downloaded, and it serves as a central location for developers and users to access and contribute to the project.

💡Auto-selection

Auto-selection is a feature in digital image editing software that automatically identifies and selects specific parts of an image based on certain criteria or patterns. In the context of the video, the presenter highlights the new auto-selection feature in the Krita AI diffusion 1.15 update, which allows for easier and more precise editing by automatically outlining and selecting areas of the artwork. This feature saves time and effort for the artist, allowing them to focus more on the creative aspects of their work.

💡Civ AI

Civ AI, mentioned in the video, appears to be a developer or a team that contributes to AI models for image processing and generation. They are noted for releasing a 'furnace model' which, although designed for fantasy creatures, also works well for generating images of humans. The presenter appreciates the versatility of this model and encourages viewers to explore it, indicating that it is a valuable resource within the digital art and AI generation community.

💡Lightning model

The 'lightning model' is a specific AI model discussed in the video, which is designed for generating high-quality images, particularly of fantasy creatures but also effective for humans. The presenter mentions that this model has been optimized for use with the Krita AI diffusion plugin, and recommends it for its performance and capabilities. The model is associated with Civ AI, and the presenter notes that it is a significant addition to the tools available for artists using the Krita software.

💡Samplers

Samplers in the context of AI image generation refer to algorithms that are used to select or 'sample' data points from a larger dataset to create a new image. In the video, the presenter discusses the different types of samplers available in the Krita AI diffusion 1.15 update, such as DPM Plus+, SD, and SGM samplers. The choice of sampler can significantly affect the final render and the overall look of the generated image, making it a crucial aspect of the AI diffusion process.

💡Render

In digital art and graphic design, a render refers to the process of generating an image or artwork from a set of instructions or data. In the video, the presenter talks about rendering images using the Krita AI diffusion 1.15 update, emphasizing the new features and improvements that make rendering more efficient and controllable. The presenter also discusses the render times and the impact of different settings on the quality and appearance of the final rendered image.

Highlights

The AI diffusion 1.15 update by akley for Cryer introduces a plethora of new features, enhancing the software's capabilities.

The update allows for better editing and utilization of artwork, rivaling Adobe's Photoshop in generative fill but with more control to prevent glitching.

GitHub is the platform where users can find and download the AI diffusion update, with instructions provided for easy installation.

Civ AI has released a new lightning model designed for rendering fantasy creatures, but also effective for human renderings.

The new update includes the ability to discard rendered elements and copy prompts for more efficient use.

The 1.15 version sees the introduction of new core components and improvements to existing features.

The lightning sampler is recommended for use with the new lightning model for optimal results.

The AI diffusion 1.15 update offers better control over the generative process, allowing for more precise and seamless image editing.

The update includes a feature for expanding images while considering the entire context, leading to more accurate and harmonious results.

Users can now generate custom content within selected areas of an image, providing greater flexibility and control.

The AI diffusion 1.15 update has some bugs, particularly on older hardware, which may require workarounds or fixes from the developers.

A 'magic dot' technique can be used as a workaround to bypass certain bugs related to image expansion.

Despite the bugs, the AI diffusion 1.15 update is a powerful tool that offers significant improvements over previous versions.

The update is particularly beneficial for photo restorations, providing new levels of control and usability.

The AI diffusion 1.15 update demonstrates the potential of using AI in digital art and restoration, pushing the boundaries of what's possible.

The community is encouraged to share their experiences, hardware specifications, and render times to help improve the software and understand its performance on various setups.

The video provides a comprehensive overview of the AI diffusion 1.15 update, showcasing its features, benefits, and areas for improvement.

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