About Krita AI Diffusion
What is Krita AI Diffusion?
Krita AI Diffusion enhances Krita by embedding AI-driven tools for image creation and modification. Leveraging Stable Diffusion models like SD1.5 and SDXL, the plugin allows users to generate images from text prompts, perform inpainting and outpainting, and refine existing artwork. It supports advanced features such as ControlNet integration, custom workflows, and animation capabilities, providing a comprehensive suite for digital artists.
How to use Krita AI Diffusion?
You can use Krita AI Diffusion after installing the plugin:
- Download the plugin from the GitHub repository
- In Krita, go to Tools > Scripts > Import Python Plugin from File
- Restart Krita and activate the plugin via Settings > Dockers > AI Image Generation
- Use selection tools to mark regions or input prompts
- Choose model and settings, then generate, inpaint, or outpaint as needed
What Are the Key Features of Krita AI Diffusion?
Inpainting
Modify specific areas of an image by selecting regions and applying AI-generated content based on text prompts.
Outpainting
Extend images beyond their original borders, filling new areas with content that blends seamlessly with the existing image.
Text-to-Image Generation
Create images from textual descriptions using integrated Stable Diffusion models.
Custom Workflows
Design and implement personalized workflows to automate and enhance the image generation process.
Animation Support
Integrate AI-generated content into Krita's animation timeline for dynamic creations.
ControlNet Integration
Utilize ControlNet models to guide image generation with additional inputs like sketches or depth maps.
Real-World Use Cases of Krita AI Diffusion
Krita AI Diffusion Integrations
Frequently Asked Questions About Krita AI Diffusion
Do I need Krita installed to use this plugin?+
Yes, Krita AI Diffusion is a plugin specifically built for use inside the Krita application.
Does it work offline?+
Yes, but you need a compatible GPU and the required AI models downloaded locally.
Can I use my own Stable Diffusion model?+
Yes, the plugin supports custom models and lets you configure paths and parameters for local models.
Is this plugin free?+
Yes, it's open source and available for free on GitHub under the MIT license.
