Adobe Generative fill Alternative, How to use Krita to Change and add objects
TLDRThe video provides an in-depth tutorial on using Krita with AI diffusion plugin as an alternative to Adobe's generative fill. It highlights the benefits of running AI locally, compatibility with older Nvidia graphics cards, and the ability to have more control over the editing process. The tutorial demonstrates how to change elements in an image, such as transforming a lounge or adding a cat, by using various models and adjusting settings like strength and buffer. It also addresses the common issues faced with generative AI, like removing or adding objects, and offers solutions for better blending and manipulation of the generated content.
Takeaways
- 🖌️ Krita is a free alternative to Adobe Photoshop and Corel Paint Shop Pro, offering an AI diffusion plugin that runs locally on your system.
- 🚀 The AI diffusion plugin works best on Nvidia graphics cards and can run on older models like the GTX 1070.
- 🌐 The AI runs locally, which provides more freedom and eliminates concerns about work being stolen or internet dropouts.
- 🎨 Krita's AI diffusion plugin allows for more customization and control compared to Adobe's generative fill and Corel's Vision FX.
- 🔍 Users can add different models for varied results, a feature not available in Adobe's equivalent tool.
- 👉 The selection tool in Krita requires more precision to avoid automatically selecting unwanted areas, unlike Adobe's one-click selection.
- 📸 Adjustments like reducing the buffer size can improve the accuracy of the AI's renderings.
- 🖼️ The AI can generate objects like a cat or change elements such as turning a lounge to a different color by using reference colors or images.
- 🌿 Adding or changing elements in an image can be achieved by painting a blob and generating from it, which helps the AI understand the desired outcome.
- ⚙️ The strength setting in the AI diffusion plugin can be tweaked to achieve better blending and accuracy in the final render.
- 📈 As AI models evolve, the capabilities and performance of Krita's AI diffusion plugin are expected to improve.
Q & A
What is AI diffusion in Krita?
-AI diffusion in Krita refers to a plugin that integrates artificial intelligence capabilities into the software, specifically for image editing tasks such as object addition or alteration. It works by running locally on a user's system without relying on cloud-based services.
How does AI diffusion in Krita compare to Adobe's Generative Fill?
-AI diffusion in Krita serves as an alternative to Adobe's Generative Fill, offering similar functionality by enabling users to edit images by adding or changing elements. Krita's AI diffusion allows for more user control and customization compared to the more automated and simplified process in Adobe.
Is the AI diffusion plugin in Krita free?
-Yes, both Krita and the AI diffusion plugin are free to download and use. They are designed to run locally on a user's computer, providing a cost-effective alternative to some other commercial software.
What are the hardware requirements for running AI diffusion in Krita?
-The AI diffusion plugin works best with an Nvidia graphics card, though it supports older models like the GTX 1070. This makes it accessible for users with older or less powerful computer systems.
Can you use different models with AI diffusion in Krita for various results?
-Yes, Krita's AI diffusion plugin allows users to load different models to achieve varying effects and results, offering a level of customization that isn't available in Adobe's Generative Fill.
What is the benefit of AI running locally for image editing in Krita?
-Running AI locally for image editing in Krita eliminates dependency on internet connectivity, enhances privacy and security by processing data on the user's own system, and gives users full control over the editing process.
How does the selection tool in Krita's AI diffusion differ from Adobe's?
-Krita's selection tools in AI diffusion require more manual input and precision, giving users more control but also requiring a better understanding of the tool's functionalities compared to Adobe's one-click, automated selection tool.
What types of adjustments can be made with AI diffusion in Krita during image editing?
-Users can adjust the size and scale of images, select specific elements for detailed editing, and customize settings like buffer zones to fine-tune how changes are applied to images.
Can the AI diffusion plugin in Krita generate new objects within an image?
-Yes, the AI diffusion plugin can generate new objects, such as adding a cat to a lounge scene in the image. This is done by selecting the desired area and specifying the object to generate, similar to content-aware fill techniques in other software.
What is the main advantage of using Krita with AI diffusion over other image editing software?
-The main advantage of using Krita with AI diffusion is the combination of no cost, local processing, and high customization possibilities, which offers a powerful toolset for detailed and personalized image editing.
Outlines
🎨 Introduction to Cre and AI Diffusion
The paragraph introduces the topic of the video, which is an in-depth look at Cre (Crea) and its AI diffusion plugin. The speaker explains that both the software and the plugin are free and that the AI runs locally on the user's system, providing more control and security for the user's work. The AI diffusion plugin is described as an alternative to Adobe's generative fill and Corel's Vision FX, with the advantage of working best on Nvidia graphics cards. The speaker shares personal experience using an older GTX 1070 graphics card and assures viewers with older systems that they can run the software as well.
🖌️ Using AI Diffusion for Image Manipulation
This paragraph delves into the practical application of AI diffusion within Cre. The speaker demonstrates how to change elements of an image, such as turning a lounge into a gray one, and explains the importance of understanding the software's tools for better results. The process of selecting areas for modification and the use of different models for various outcomes are discussed. The speaker also compares the AI diffusion with Adobe's selection tools, highlighting the benefits of having more control over the editing process in Cre.
🎨 Advanced Techniques for Image Editing
The speaker continues to explore advanced image editing techniques in Cre using AI diffusion. They discuss the process of adding a cat to an image and the importance of selecting the right area for the modification. The concept of using a 'blob' of color as a reference for the AI to generate accurate results is introduced. The speaker also talks about the limitations of Adobe's generative fill and how Cre's AI diffusion offers more flexibility and control, especially when it comes to adjusting the strength of the AI's output.
🖼️ Enhancing Images with AI Diffusion
In this paragraph, the speaker focuses on enhancing images using AI diffusion, particularly adding elements like paintings and plants to a scene. They explain the process of selecting the background and adjusting the AI's focus to achieve the desired result. The speaker also discusses the challenges of removing elements from an image and provides tips on how to improve the AI's accuracy. The comparison with Adobe's capabilities continues, emphasizing Cre's potential to produce high-quality results without the need for multiple renders.
🌿 Manipulating AI for Desired Image Outcomes
The speaker discusses various techniques to manipulate AI in Cre for achieving specific image outcomes. They demonstrate how to add and modify plants in an image, explaining the process of selecting the right area, adjusting the strength of the AI's output, and using different models for varied results. The paragraph also covers the challenges of blending elements into the background and the importance of selecting the right models and settings for the best outcomes. The speaker shares personal experiences and preferences, providing a realistic view of the capabilities and limitations of Cre's AI diffusion.
🎨 Fine-Tuning AI Diffusion for Image Perfection
The speaker concludes the tutorial by fine-tuning the AI diffusion process in Cre. They focus on the intricacies of adding a cat to the scene, discussing the importance of using color references and adjusting the AI's strength for better results. The paragraph highlights the speaker's experimentation with different settings and models, emphasizing the learning curve involved in mastering Cre's AI diffusion. The speaker also encourages viewers to share their experiences and challenges with the software, fostering a community of users who can learn from each other.
Mindmap
Keywords
💡Krita
💡AI Diffusion
💡Nvidia Graphics Card
💡Generative Fill
💡Image Manipulation
💡Plugin
💡Render
💡Selection Tool
💡Diffusion
💡GPU
Highlights
Introduction to using Krita with its AI Diffusion plugin, highlighting that both are free and run locally.
Advantages of AI running locally: no reliance on the cloud, less vulnerability to internet issues, and increased privacy.
Compatibility with older Nvidia graphics cards, including GTX 1070, making it accessible for users with older systems.
Comparison of Krita to Adobe Photoshop and Corel Paint Shop Pro as alternatives with similar functionalities.
Detailed demonstration on how to scale images in Krita for better performance on older systems.
Explanation of the ability to add different models to Krita for varying results, a feature not available in Adobe.
Tutorial on how to use the AI Diffusion plugin to modify and enhance images effectively.
Step-by-step guide on how to adjust settings and controls in Krita for precise image editing.
Demonstration of editing a lounge image, including color changes and blending tips.
How to add a white cat to an image in Krita, including selecting the correct area with the lasso tool.
Discussion on the importance of proper selection tools and their impact on the quality of the output.
Explanation of the process of adjusting the AI strength settings to improve image blending with the background.
Challenges and solutions in removing unwanted elements from images using AI tools.
Advantages of using Krita and AI Diffusion over Adobe due to customization and model variety.
Concluding thoughts on the power of Krita with AI Diffusion and its potential for future enhancements.