Style transfer pipeline for training LLMs to write in specific author styles using SFT with LoRA
Trains LLMs to adopt specific author writing styles using supervised fine-tuning with LoRA adapters for efficient style transfer.
Why this plugin
Provides a specialized pipeline for adapting language models to mimic distinct writing styles, enabling content creation in targeted voices without full model retraining.
Prerequisites
Requires base LLM access, training datasets with target style examples, and computational resources for fine-tuning (GPU recommended).
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UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
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