COR Brief
AI ToolsImage & VideoKrita Ai Diffusion
Image & Video

Krita Ai Diffusion

Krita AI Diffusion is a plugin designed to integrate Stable Diffusion models directly into the Krita digital painting software. It enables users to generate, inpaint, outpaint, and refine images using text prompts and selection tools without leaving Krita's interface. The plugin supports both local and cloud-based processing through a ComfyUI backend, allowing flexibility in how image generation tasks are handled. It also supports advanced features such as ControlNet for guided generation using sketches or maps and accommodates multiple Stable Diffusion models including 1.5, SDXL, and Flux variants. The plugin includes a job queue system to manage multiple generation tasks and a history browser to review previous outputs and prompts. Users can create custom presets for checkpoints, LoRAs, samplers, and workflows. Additionally, Krita AI Diffusion supports upscaling images to 4K, 8K, and higher resolutions with automatic scaling. The IP-Adapter feature allows for reference image usage, style transfer, composition transfer, and face swapping within the plugin.

Updated Dec 28, 2025open-source

Krita AI Diffusion is a plugin that integrates Stable Diffusion image generation capabilities directly into Krita for inpainting, outpainting, and refinement using text prompts and selection tools.

Pricing
open-source
Category
Image & Video
Company
Interactive PresentationOpen Fullscreen ↗
01
Generate or extend images on selected regions using text prompts within Krita.
02
Guide image generation with sketches, line art, canny edges, pose, depth, normals, segmentation, and more.
03
Manage multiple generation tasks and cancel jobs while continuing to edit.
04
Preview and access previous generations and prompts for iteration.
05
Save and use presets for Stable Diffusion checkpoints, LoRAs, samplers, and workflows.
06
Upscale images to 4K, 8K, and higher resolutions with automatic scaling.
07
Use reference images for style transfer, composition transfer, and face swap.

Concept Art Generation

Digital artists can generate new concept art elements directly within Krita using text prompts and inpainting.

Artwork Enhancement

Artists can refine and extend existing artwork by outpainting selected regions with AI assistance.

Animation Asset Creation

Users creating animations can generate and modify assets within Krita without switching tools.

1
Install Krita
Download and install Krita version 5.2.0 or newer from https://krita.org.
2
Download the Plugin
Get the Krita AI Diffusion plugin from https://github.com/Acly/krita-ai-diffusion.
3
Install the Plugin in Krita
In Krita, go to Tools > Scripts > Import Python Plugin from File, select the downloaded file, then restart Krita.
4
Enable the Plugin
Enable the plugin via Settings > Dockers > AI Image Generation.
5
Configure Models and Backend
Set up Stable Diffusion models and the ComfyUI backend either by automatic install or connecting to an existing/local server.
6
Generate Images
Select a region or input a text prompt, choose generation settings, and start image generation.
📊

Strategic Context for Krita Ai Diffusion

Get weekly analysis on market dynamics, competitive positioning, and implementation ROI frameworks with AI Intelligence briefings.

Try Intelligence Free →
7 days free · No credit card
Pricing
Model: open-source

No pricing information is available; the plugin appears to be free and open-source.

Assessment
Strengths
  • Integrates directly into Krita, allowing users to work within a single application.
  • Supports local processing to avoid reliance on cloud services.
  • Includes a job queue to handle multiple generation tasks efficiently.
  • Provides a history browser for easy access to previous generations and prompts.
  • Handles high-resolution image upscaling up to 8K and beyond.
Limitations
  • Requires Krita version 5.2.0 or newer and separate downloads of models like checkpoints and LoRAs.
  • Generation speed depends on hardware capabilities, necessitating job queuing.
  • Setup of the ComfyUI backend may require troubleshooting.