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Acly/krita-ai-diffusion

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

Python ◇ generative-ai GPL-3.0
★10.6KSTARS
⑂632FORKS
!111ISSUES
🏆#656GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Acly/krita-ai-diffusion
CSV

Momentum

+266

STARS · LAST 30 DAYS

9

PER DAY

#115

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+63+266+810
Per day999
Forks gained+3+13+32

krita-ai-diffusion gained 266 stars in the last 30 days, about 9 a day, and now has 10.6K. It is about 3 years old and has averaged roughly 3.5K stars a year. It ranks #115 among Python repositories and #656 across all languages on GitHubRepo.

Trending Record

krita-ai-diffusion has maintained a continuous presence across global trending indexes, peaking at #1325. Below is the 30-day activity profile:

💡 Overview

krita-ai-diffusion is an open-source project written in Python: Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

Engineered for speed, consistency, and developer ease, it solves common hurdles in generative-ai, krita-plugin, stable-diffusion. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install krita-ai-diffusion

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

krita-ai-diffusion coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with krita-ai-diffusion.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install krita-ai-diffusion using your package manager: `pip install krita-ai-diffusion`

2

Initialize your project workspace or configuration file for krita-ai-diffusion.

3

Import krita-ai-diffusion into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `krita-ai-diffusion --help` to verify successful setup.

👍 Strengths

Active community backing with 10,643 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Acly/krita-ai-diffusion is currently ranked #656 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#651 TrinityCore/TrinityCore C++ ★ 10.8K Compare ↗
#651 recloudstream/cloudstream Kotlin ★ 10.8K Compare ↗
#653 langchain-ai/open-swe Python ★ 10.8K Compare ↗
#654 mockery/mockery PHP ★ 10.7K Compare ↗
#655 akveo/react-native-ui-kitten TypeScript ★ 10.7K Compare ↗
#656 Acly/krita-ai-diffusion This Project Python ★ 10.6K
#657 distribution/distribution Go ★ 10.6K Compare ↗
#658 foundry-rs/foundry Rust ★ 10.6K Compare ↗
#659 sub-store-org/Sub-Store JavaScript ★ 10.6K Compare ↗
#660 kedacore/keda Go ★ 10.5K Compare ↗
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Frequently Asked Questions

What does krita-ai-diffusion do? +

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

What language is krita-ai-diffusion written in? +

The primary language is Python. Topics include: generative-ai, krita-plugin, stable-diffusion.

Is krita-ai-diffusion actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 111 open issues being tracked.

How many stars does krita-ai-diffusion have? +

krita-ai-diffusion has 10,643 stars and 632 forks on GitHub.

How does krita-ai-diffusion rank among GitHub repositories? +

With 10,643 stars, Acly/krita-ai-diffusion is ranked #656 globally across all repositories tracked on GitHubRepo and #115 among Python projects.

What license is krita-ai-diffusion distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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