README.md

metadata

title: Flux Kontext Style
emoji: 🌖
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 5.36.2
app_file: app.py
pinned: false
license: apache-2.0
short_description: Transform images into 22 stunning art styles

Link: https://huggingface.co/spaces/ginigen/Flux-Kontext-Style

🎨 Flux Kontext Style LoRA - AI-Powered Artistic Style Transfer

Transform your images into 22 stunning art styles with state-of-the-art AI

Features • Quick Start • Styles • Installation • Usage • Community

🚀 What is Flux Kontext Style LoRA? Flux Kontext Style LoRA is a cutting-edge web application that leverages the power of FLUX.1-Kontext-dev model with 22 professionally crafted style LoRAs to transform ordinary images into extraordinary artistic masterpieces. Whether you're a digital artist, content creator, or AI enthusiast, this tool opens up endless creative possibilities. ✨ Key Features 🎯 One-Click Style Transfer

Visual Style Selection: Browse and click thumbnails to instantly apply styles Real-Time Preview: See your style selection update immediately High-Resolution Output: All images rendered at 1024x1024 resolution

🎨 22 Professional Art Styles Transform your images into:

Anime & Cartoon: Studio Ghibli, American Cartoon, JoJo's Bizarre Adventure, Snoopy, Rick & Morty 3D & Geometric: 3D Chibi, Low Poly, LEGO, Clay Toy Traditional Art: Chinese Ink Painting, Oil Painting, Van Gogh, Picasso, Pop Art Craft & Material: Fabric, Origami, Paper Cutting, Macaron Digital & Modern: Pixel Art, Line Art, Vector Graphics

⚡ Performance & Quality

GPU Accelerated: Optimized for CUDA-enabled GPUs Fast Generation: 30-60 seconds per image Memory Efficient: Smart GPU memory management Reproducible Results: Seed control for consistent outputs

📋 Quick Start Prerequisites

Python 3.8 or higher CUDA-capable GPU (12GB+ VRAM recommended) 15GB free disk space

Installation bash# Clone the repository git clone https://github.com/yourusername/flux-kontext-style-lora.git cd flux-kontext-style-lora

Install dependencies

pip install -r requirements.txt

Set HuggingFace token (optional, for private model access)

export HF_TOKEN="your_huggingface_token"

Run the application

python app.py 🎯 How to Use

Upload Image: Drag and drop or click to upload your image Select Style: Click any thumbnail from the style gallery Customize (Optional): Add additional instructions like "make it more vibrant" Generate: Click "Transform Image" and wait for the magic Download: Save your transformed artwork

Advanced Controls

Inference Steps: 10-50 (higher = better quality, slower) Guidance Scale: 1.0-5.0 (controls style strength) Seed: For reproducible results

🌟 Use Cases

Social Media Content: Create unique, eye-catching posts NFT Art Creation: Generate distinctive digital collectibles Design Prototyping: Quickly explore different visual styles Educational Projects: Demonstrate AI capabilities in art Personal Projects: Transform photos into artistic memories

📄 License This project follows the FLUX.1-Kontext-dev model license. Please review the license terms before commercial use.

🙏 Acknowledgments Black Forest Labs for the FLUX.1-Kontext-dev model Owen777 for the high-quality style LoRAs The open-source AI community

Community: https://discord.gg/openfreeai

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🎨 Flux Kontext Style LoRA - AI 이미지 스타일 변환

링크: https://huggingface.co/spaces/ginigen/Flux-Kontext-Style

프로젝트 소개 Flux Kontext Style LoRA는 FLUX.1-Kontext-dev 모델과 22가지 고품질 스타일 LoRA를 활용하여 이미지를 다양한 예술적 스타일로 변환하는 AI 기반 웹 애플리케이션입니다.

주요 기능 ✨ 22가지 다양한 아트 스타일

애니메이션/만화: 지브리, 아메리칸 카툰, 조조, 스누피, 릭앤모티 3D/기하학적: 3D 치비, 폴리, 레고, 클레이 토이 전통 예술: 수묵화, 유화, 반 고흐, 피카소, 팝아트 공예/재료: 패브릭, 종이접기, 페이퍼 커팅, 마카롱 디지털/모던: 픽셀, 라인아트, 벡터

🚀 핵심 특징

원클릭 썸네일 스타일 선택 1024x1024 고해상도 출력 추가 프롬프트로 세부 조정 가능 GPU 가속 실시간 처리 직관적인 UI/UX 디자인

기술 스택

모델: FLUX.1-Kontext-dev LoRA: Owen777/Kontext-Style-Loras 프레임워크: Gradio, Diffusers 런타임: PyTorch, CUDA

사용 방법

이미지 업로드 또는 기본 이미지 사용 썸네일 클릭으로 원하는 스타일 선택 (선택) 추가 지시사항 입력 "Transform Image" 버튼 클릭 30-60초 내 스타일 변환 완료

설치 및 실행 bash# 환경 설정 pip install -r requirements.txt

HuggingFace 토큰 설정 (선택)

export HF_TOKEN="your_token_here"

실행

python app.py 시스템 요구사항

Python 3.8+ CUDA 지원 GPU (최소 12GB VRAM) 15GB+ 디스크 공간 (모델 다운로드)

활용 분야

소셜 미디어 콘텐츠 제작 NFT 아트 생성 디자인 프로토타이핑 교육 및 연구 개인 창작 활동

라이선스 본 프로젝트는 FLUX.1-Kontext-dev 모델 라이선스를 따릅니다.