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kritAI

AI tools for artists, including version control, AI image editing, and integrated AI image generation all in the familiar environment of Krita.

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Inspiration

What began as an attempt to bring Git to the world of digital art evolved into something bigger: an AI-powered co-creator embedded right inside your canvas.

As artists and programmers, we often wondered—what if creative workflows had the same tooling as software development?

  • What if you could branch your art to explore different styles without duplicating files or layers?
  • What if you could commit versions of your work with thumbnails, timestamps, and layer states?
  • What if you had an AI art copilot that could improve your sketches directly on the canvas, guided by prompts and layer data?
  • What if you could receive spontaneous art critique using AI?

With Krita's Python plugins, we managed to bridge this gap, bringing common developer tools to an artist's world.

What it does

kritAI is a Krita plugin that fuses version control and AI assistance into your digital art workflow. It ships with two main components:

🎨 kritAI: AI art generation

Choose from the following image generation modes to create/modify the layer that is generated on the canvas.

  • Generate – Create a new image layer from a prompt.
  • Vary – Generate image variations based on the current canvas.
  • Edit – Paint a mask and prompt the AI to fill that region using selected layers for context.

🌳 ArtGit: Git for Art

  • Committing – Save your current canvas and its layer structure with a commit message.
  • Branching – Create branches to explore alternate versions or styles.
  • Preview Version History – Visual tree view of all commits with thumbnails, timestamps, and messages.
  • Server Upload – Upload your art, view art created by other users, and commit tree to the cloud!

How we built it

  • Python to develop Krita plugins
  • PyQt for UI/UX design of the dockers
  • OpenAI API (DALL-E) to retrieve the AI-generated image based on layer information and prompt
  • Next.js for image hosting and MongoDB for image data storing

Challenges we ran into

  • AI image generation accuracy
  • Learning new skills (ex. PyQt)
  • Visualizing branch history to users through a graph

Accomplishments that we're proud of

  • AI image generation saved as a layer directly on the canvas
  • Building a plugin that we would use IRL :)
  • Visualizing branch history to users through a graph!!!

What's next for kritAI

  • Uploading commit history alongside Krita files to DB so others can "clone" both the .kra file and its commits + branches

Slides

https://www.figma.com/proto/jco5lfVMJ4WJqM8iOLsyWr/SpurHacks2025?node-id=1-575&page-id=0%3A1&scaling=fit

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