Krita AI Trick to Removing Objects With AI diffusion Plugin
TLDRIn this informative video, the creator discusses a method for removing objects from images using the Krita AI diffusion plugin. The process involves manipulating AI diffusion by uploading a static image to the cloud and utilizing it within the Krita software. The creator shares a step-by-step guide on how to replace the unwanted object with more fitting elements, such as bushes and trees, and emphasizes the advantages of using open-source tools like Krita over paid platforms. The video also highlights the importance of selecting appropriate models for the task and provides tips for achieving better image blending and realistic renderings.
Takeaways
- 🎨 The video discusses a method to remove objects from images using Krita's AI diffusion plugin.
- 🔍 Krita lacks a dedicated AI background removal tool, but the tutorial explores a workaround using AI diffusion.
- 📈 The presenter shares a downloadable static image file to aid in the AI manipulation process.
- 🖌️ The use of AI diffusion involves creating a static base image that the AI builds upon to generate new images.
- 💻 The presenter's system is an older GTX 1070, which limits the resolution they can work with for faster rendering.
- 🧠 The presenter prefers Krita's AI diffusion due to the ability to select models and the live preview feature, which is great for kids and beginners.
- 🚀 The presenter describes the process of uploading the static image to Krita's data folder and using it to influence AI rendering.
- 🎉 The AI diffusion process is likened to 'magic eyes' where the AI reads the static image and creates a new render based on it.
- 🌳 The video demonstrates the removal of a vehicle from an image using the AI diffusion technique and adjusting settings for better blending.
- 🌐 The presenter suggests using different models in Krita depending on the art style and subject matter for optimal results.
- 💬 The presenter encourages viewers to support open-source projects like Krita and its plugins, and to provide feedback to the creators.
Q & A
What is the main topic of the video?
-The main topic of the video is a tutorial on how to use the AI diffusion plugin in Krita to remove objects from images.
What is the AI diffusion plugin used for in Krita?
-The AI diffusion plugin is used to manipulate images by adding or removing elements, such as objects in the background, using artificial intelligence.
How does the AI diffusion plugin work in Krita?
-The AI diffusion plugin works by creating a static image and using that as a base to build a unique image every time. It can generate new content based on the static pattern provided by the user.
What is the advantage of using the AI diffusion plugin over Adobe's tools?
-The advantage of using the AI diffusion plugin over Adobe's tools is that it is free, open-source, and allows users to select different models and use a graphical user interface similar to Adobe or Corel.
What kind of objects can the AI diffusion plugin help to remove from an image?
-The AI diffusion plugin can help to remove various objects, such as a vehicle in the background of an image, by generating new content that blends with the surrounding area.
How can users obtain the static diffusion pattern file mentioned in the video?
-Users can obtain the static diffusion pattern file by downloading it from the provided link on the creator's cloud storage, which will then be placed in the Krita data folder.
What are some of the challenges faced when using the AI diffusion plugin?
-Some challenges include the plugin not always accurately removing objects, the need for adjustments to settings like padding, and the potential for the AI to create unwanted elements in the image.
What are some tips for improving the results with the AI diffusion plugin?
-Tips for improving results include adjusting the padding settings, selecting the right models for the task, using a lower resolution for faster rendering, and adjusting the saturation to better blend the generated content with the original image.
What is the future potential of the AI diffusion plugin?
-The future potential of the AI diffusion plugin includes the development of new models trained on higher resolutions, better language understanding for more accurate object removal, and the possibility of additional tools and plugins created by the community.
How can viewers support the development of the AI diffusion plugin?
-Viewers can support the development by using the plugin, providing positive feedback to the creator, and sharing the plugin with others to increase its user base and encourage further development.
Outlines
🎥 Introduction to AI Manipulation in Stream Tabulous
The speaker begins by welcoming viewers to Stream Tabulous and expresses an intention to explore AI manipulation techniques, specifically within the Cryer platform. The focus is on learning how to influence AI diffusion to perform certain tasks, such as adding or removing objects within an image. The speaker references a previous video on adding elements like a cat and intends to delve into background object removal, despite not having a dedicated AI removal tool. The introduction also includes a brief mention of the app's interface and the speaker's preference for Cryer diffusion due to its customizable model selection and live preview features.
🖼️ Adjusting Resolution and Removing Objects
In this segment, the speaker discusses the process of adjusting the image resolution to accommodate their older system's limitations. They explain the intention to remove a vehicle from the image and the challenges faced when using a 1.5 model on their system. The speaker then explores the use of 'Bush and trees' to replace the vehicle, but acknowledges the limitations of the AI in properly rendering the replacement. They delve into the concept of static diffusion, explaining how it works and how it can be utilized to influence AI-generated images. The speaker also discusses the importance of tool options and settings in achieving the desired outcome.
🌄 Fine-Tuning and Blending Elements
The speaker continues by discussing the fine-tuning process of the AI manipulation, particularly focusing on padding and blending aspects. They share an error made in a previous video and how resetting it can improve the blending of elements within the image. The speaker emphasizes the importance of leaving padding at its default setting for better blending with the surrounding information. They also touch on the variability of AI renderings depending on the model used, highlighting the benefits of selecting models suited to the artwork's style. The speaker concludes this section by demonstrating how well the AI has blended the manipulated elements into the image.
🌲 Working with Nature and Reflective Elements
In this part, the speaker explores the application of AI manipulation in creating and adjusting reflective water elements in a natural scene. They compare the capabilities of Adobe and Cryer in rendering reflective water, noting that Adobe was particularly adept at this task. The speaker expresses curiosity about the potential of using static colors in the AI diffusion process. They discuss the impact of workflow on the overall image and the use of comfy AI for reflective water. The speaker also shares their experiences with different models and the importance of selecting models that are best suited to the specific style of the artwork being created.
🔧 Final Thoughts and Encouragement for Open Source Support
The speaker concludes the video by sharing their thoughts on the potential of Cryer and AI diffusion, emphasizing the benefits of open source platforms. They express hope for wider adoption and improvement of Cryer, encouraging viewers to support the creators of useful plugins. The speaker also highlights the importance of positive feedback in motivating developers to enhance their tools. They end the video by encouraging viewers to like, share, and subscribe to help the YouTube channel grow and reach more people.
Mindmap
Keywords
💡Krita AI
💡AI diffusion
💡Background removal
💡Static image
💡Cloud storage
💡Resolution
💡Adobe
💡Open source
💡Rendering
💡AI model training
💡Reflective water
Highlights
The video demonstrates a method for removing objects from the background using Krita and AI diffusion.
Krita lacks a built-in AI background removal tool, so the video explores a workaround using AI diffusion.
A static diffusion pattern is used to manipulate the AI into creating a unique image from static.
The process involves uploading a static image file to the cloud and using it within Krita's AI diffusion tool.
The video discusses the limitations of Krita's AI model compared to Adobe's, particularly in rendering speed.
The presenter prefers Krita's AI diffusion for its live preview and customizable model selection.
A detailed guide on how to install and use the AI diffusion tool with Krita is provided.
The technique involves creating a new layer and flooding it with static colors to influence the AI's output.
The video shows how to adjust settings like padding and blending for better image results with AI diffusion.
The presenter discusses the importance of selecting the right AI model suited to the artwork's style.
The video provides a method to remove unwanted elements from a photo using AI diffusion in Krita.
The presenter shares a logical guess based on patterns observed during the use of stable diffusion.
A downloadable static pattern is mentioned to assist with the AI diffusion process in Krita.
The video explores the potential of open-source tools like Krita and the AI diffusion plugin for creative editing.
The presenter encourages viewers to provide feedback and support to the creators of open-source tools.
The video concludes with a call to action for viewers to like, subscribe, and share the content for wider exposure.