Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
⚡ Executive Summary & Quick Facts
Authoritative Sourcekrita-ai-diffusion is 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..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Acly/krita-ai-diffusion has accumulated 10,754 GitHub stars and 647 forks. It is written in Python, licensed under GPL-3.0, and ranks #1,555 globally. It is actively maintained with the latest commit recorded on Oct 3, 2026.”
| Repository | Acly/krita-ai-diffusion ↗ |
|---|---|
| Primary Category | generative ai |
| Language & Stack | Python |
| Software License | GPL-3.0 |
| Community Traction | ★ 10.8K stars · ⑂ 647 forks · #1,555 globally |
| Maintenance | ● Active (Last commit: Oct 3, 2026) · 128 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 95/100 · Grade A+Yes, krita-ai-diffusion is actively maintained. Continuous telemetry recorded the last code commit on Oct 3, 2026 (41 days ago). Supported by 10,754 stars and 647 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (41 days ago) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/Acly/krita-ai-diffusion?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/Acly/krita-ai-diffusion?utm_source=readme_badge) [](https://githubrepo.cloud/repo/Acly/krita-ai-diffusion?utm_source=readme_badge) [](https://githubrepo.cloud/repo/Acly/krita-ai-diffusion?utm_source=readme_badge) [](https://githubrepo.cloud/repo/Acly/krita-ai-diffusion?utm_source=readme_badge) [](https://githubrepo.cloud/repo/Acly/krita-ai-diffusion?utm_source=readme_badge)Momentum
+98
STARS · LAST 30 DAYS
3
PER DAY
#265
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +98 | +270 |
| Per day | 1 | 3 | 3 |
| Forks gained | +0 | +11 | +32 |
krita-ai-diffusion gained 98 stars in the last 30 days, about 3 a day, and now has 10.8K. It is about 3 years old and has averaged roughly 3.6K stars a year. It ranks #265 among Python repositories and #1,555 across all languages on GitHubRepo.
Trending Record
41
DAYS ON TRENDING
#651
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
krita-ai-diffusion has maintained a continuous presence across global trending indexes, peaking at #651. 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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install krita-ai-diffusion using your package manager: `pip install krita-ai-diffusion`
Initialize your project workspace or configuration file for krita-ai-diffusion.
Import krita-ai-diffusion into your codebase or invoke it directly from your terminal.
Execute your test suite or run `krita-ai-diffusion --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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 #1,555 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,550 | Chia-Network/chia-blockchain | Python | ★ 10.8K | Compare ↗ |
| #1,551 | TooTallNate/Java-WebSocket | Java | ★ 10.8K | Compare ↗ |
| #1,552 | nextcloud/all-in-one | PHP | ★ 10.8K | Compare ↗ |
| #1,553 | ChatGPTBox-dev/chatGPTBox | JavaScript | ★ 10.8K | Compare ↗ |
| #1,554 | 99designs/gqlgen | Go | ★ 10.8K | Compare ↗ |
| #1,555 | Acly/krita-ai-diffusion This Project | Python | ★ 10.8K | |
| #1,556 | getlago/lago | Go | ★ 10.8K | Compare ↗ |
| #1,557 | ecomfe/vue-echarts | TypeScript | ★ 10.7K | Compare ↗ |
| #1,558 | microsoft/inshellisense | TypeScript | ★ 10.7K | Compare ↗ |
| #1,559 | screego/server | Go | ★ 10.7K | Compare ↗ |
| #1,560 | tstack/lnav | C++ | ★ 10.7K | Compare ↗ |
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.
Is krita-ai-diffusion actively maintained in 2026? +
Yes, krita-ai-diffusion is actively maintained. The latest code push was recorded on Oct 3, 2026 (41 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 10,754 stars and 128 open issues.
What language is krita-ai-diffusion written in? +
The primary language is Python. Topics include: generative-ai, krita-plugin, stable-diffusion.
How many stars does krita-ai-diffusion have? +
krita-ai-diffusion has 10,754 stars and 647 forks on GitHub.
How does krita-ai-diffusion rank among GitHub repositories? +
With 10,754 stars, Acly/krita-ai-diffusion is ranked #1,555 globally across all repositories tracked on GitHubRepo and #265 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.
