ai-anime-art-generator
AI-driven cutting-edge tool for anime arts creation, perfect for beginners to easily create stunning anime art without any prior experience.
Stars: 59
AI Anime Art Generator is an AI-driven cutting-edge tool for anime arts creation. Perfect for beginners to easily create stunning anime art without any prior experience. It allows users to create detailed character designs, custom avatars for social media, and explore new artistic styles and ideas. Built on Next.js, TailwindCSS, Google Analytics, Vercel, Replicate, CloudFlare R2, and Clerk.
README:
Welcome to the codebase of the wonderful tool AI Anime Arg Generator!
AI Anime Art Generator is an AI-driven cutting-edge tool for anime arts creation. Perfect for beginners to easily create stunning anime art without any prior experience.
website: https://aianimeartgenerator.com
Create detailed and unique character designs for your anime series or manga. Customize every aspect to fit your story's needs and bring your characters to life with vibrant colors and dynamic expressions.
Generate personalized avatars for your social media profiles. Stand out with unique, AI-created anime artwork that reflects your personality and style.
Use the AI Anime Art Generator to explore new artistic styles and ideas. Experiment with different designs and color schemes to find inspiration for your next big project.
AI Anime Art Generator is built on the following stack:
- Next.js – Frontend/Backend
- TailwindCSS – Styles
- Google Analytics
- Vercel - Hosting
- Replicate - Image Generation
- CloudFlare R2 - Image Storage
- Clerk - User Login
Clone the codebase to your local machine.
git clone https://github.com/enterwiz/ai-anime-art-generator.git
cd ai-anime-art-generator
Initialize your local postgres database or use remote Supabase database.
export DATABASE_URL=your_local_postgres_connstr
npx prisma migrate dev
Copy the .env.example file to .env.local, fill in the environment variables.
Then you can run the project locally:
npm run dev
Open your local website: http://localhost:3000.
This project heavily references another project Landing page boilerplate, and we are very grateful for their support.
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