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mix1009/model-keyword

Automatic1111 WEBUI extension to autofill keyword for custom stable diffusion models and LORA models.

Python ◇ automatic1111 MIT
★268STARS
⑂13FORKS
!16ISSUES
🏆#10,395GLOBAL RANK
🔥5DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,320

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

model-keyword gained 10 stars in the last 30 days, about 1 a day, and now has 268. It is about 4 years old and has averaged roughly 67 stars a year. It ranks #1,320 among Python repositories and #10,395 across all languages on GitHubRepo.

Trending Record

model-keyword has maintained a continuous presence across global trending indexes, peaking at #9310. Below is the 30-day activity profile:

💡 Overview

model-keyword is an open-source project written in Python: Automatic1111 WEBUI extension to autofill keyword for custom stable diffusion models and LORA models.

Engineered for speed, consistency, and developer ease, it solves common hurdles in automatic1111, extension, stable-diffusion-webui. 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 model-keyword

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

model-keyword 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

Modern Web Interfaces

Build dynamic, responsive user experiences with component-driven architecture.

Enterprise Design Systems

Standardize design tokens, accessible widgets, and themes across engineering teams.

Interactive Data Dashboards

Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.

Cross-Platform Web Apps

Deploy performant single-page applications optimized for both mobile and desktop browsers.

🚀 Getting Started

1

Install model-keyword using your package manager: `pip install model-keyword`

2

Initialize your project workspace or configuration file for model-keyword.

3

Import model-keyword into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `model-keyword --help` to verify successful setup.

👍 Strengths

Active community backing with 268 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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.

⇄ Alternatives & Direct Competitors

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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

mix1009/model-keyword is currently ranked #10,395 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,372 new-usemame/Calibre-Web-NextGen Python ★ 269 Compare ↗
#10,372 harshalgajjar/Reminal Go ★ 269 Compare ↗
#10,372 openooxml/betteroffice Rust ★ 269 Compare ↗
#10,372 daxiaamu/Guise_Reborn Kotlin ★ 269 Compare ↗
#10,372 Calcium-Ion/moejs Go ★ 269 Compare ↗
#10,395 mix1009/model-keyword This Project Python ★ 268
#10,395 wvanbergen/scoped_search Ruby ★ 268 Compare ↗
#10,395 viveleroi/jquery.formbuilder JavaScript ★ 268 Compare ↗
#10,395 lilyball/feedparser Objective-C ★ 268 Compare ↗
#10,395 jedwing/CHMLib C ★ 268 Compare ↗
#10,395 citizen428/methodfinder Ruby ★ 268 Compare ↗
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Frequently Asked Questions

What does model-keyword do? +

Automatic1111 WEBUI extension to autofill keyword for custom stable diffusion models and LORA models.

What language is model-keyword written in? +

The primary language is Python. Topics include: automatic1111, extension, stable-diffusion-webui.

Is model-keyword actively maintained? +

Yes, the last recorded push was on Oct 9, 2026 with 16 open issues being tracked.

How many stars does model-keyword have? +

model-keyword has 268 stars and 13 forks on GitHub.

How does model-keyword rank among GitHub repositories? +

With 268 stars, mix1009/model-keyword is ranked #10,395 globally across all repositories tracked on GitHubRepo and #1,320 among Python projects.

What license is model-keyword distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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