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module.exports = {
root: true,
extends: ["next/core-web-vitals", "prettier"],
rules: {
"@next/next/no-html-link-for-pages": "off",
},
}

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# Dependencies
node_modules/
.pnp
.pnp.js
# Testing
coverage/
# Next.js
.next/
out/
build/
dist/
# Production
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Misc
.DS_Store
*.pem
# Debug
*.tsbuildinfo
# Environment Variables
.env
.env*.local
.env.production
# Vercel
.vercel
# Turbo
.turbo
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
env/
venv/
ENV/
.venv
# IDEs
.vscode/
.idea/
*.swp
*.swo
*~
# PWA
**/public/sw.js
**/public/workbox-*.js
**/public/worker-*.js
**/public/sw.js.map
**/public/workbox-*.js.map
**/public/worker-*.js.map
# Database
*.db
*.sqlite
# MacOS
.DS_Store
.AppleDouble
.LSOverride

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{
"semi": false,
"singleQuote": false,
"tabWidth": 2,
"trailingComma": "es5",
"printWidth": 100,
"plugins": ["prettier-plugin-tailwindcss"]
}

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# Contributing to Wan2.1 PWA
Thank you for your interest in contributing! This document provides guidelines for contributing to the project.
## Development Setup
1. Fork the repository
2. Clone your fork:
```bash
git clone https://github.com/your-username/wan-pwa.git
cd wan-pwa
```
3. Install dependencies:
```bash
npm install
```
4. Set up environment variables (see SETUP.md)
5. Start development:
```bash
npm run dev
```
## Project Structure
```
wan-pwa/
├── apps/
│ ├── web/ # Next.js frontend
│ └── api/ # FastAPI backend
├── packages/
│ ├── ui/ # Shared UI components
│ ├── db/ # Database schema
│ └── types/ # TypeScript types
```
## Code Style
### TypeScript/JavaScript
- Use TypeScript for all new code
- Follow ESLint rules
- Use Prettier for formatting
- Prefer functional components with hooks
### Python
- Follow PEP 8 style guide
- Use type hints
- Document functions with docstrings
- Use async/await for async operations
### Formatting
```bash
npm run format # Format all code
npm run lint # Check linting
```
## Making Changes
### 1. Create a Branch
```bash
git checkout -b feature/your-feature-name
# or
git checkout -b fix/your-bug-fix
```
### 2. Make Your Changes
- Write clean, readable code
- Add comments for complex logic
- Update documentation as needed
### 3. Test Your Changes
```bash
npm run test # Run tests
npm run build # Verify build works
```
### 4. Commit Your Changes
```bash
git add .
git commit -m "feat: add new feature"
```
#### Commit Message Format
Follow Conventional Commits:
- `feat:` - New feature
- `fix:` - Bug fix
- `docs:` - Documentation changes
- `style:` - Code style changes
- `refactor:` - Code refactoring
- `test:` - Test additions/changes
- `chore:` - Maintenance tasks
Examples:
```
feat: add video download button
fix: resolve credit deduction bug
docs: update setup instructions
```
### 5. Push to Your Fork
```bash
git push origin feature/your-feature-name
```
### 6. Create Pull Request
- Go to the original repository
- Click "New Pull Request"
- Select your branch
- Fill out the PR template
- Submit for review
## Pull Request Guidelines
### PR Title
Use the same format as commit messages:
```
feat: add dark mode support
fix: resolve authentication issue
```
### PR Description
Include:
- What changes were made
- Why the changes were necessary
- How to test the changes
- Screenshots (if UI changes)
- Related issues (if applicable)
### Example PR Description
```markdown
## Changes
- Added dark mode toggle to settings
- Implemented theme persistence in localStorage
- Updated all components to support dark mode
## Why
Users requested dark mode for better viewing experience at night
## Testing
1. Click the theme toggle in settings
2. Verify colors change throughout the app
3. Refresh page and verify theme persists
## Screenshots
[Before/After screenshots]
Closes #123
```
## Feature Requests
### Before Submitting
- Check if feature already exists
- Search existing issues/PRs
- Consider if it fits project scope
### Creating Feature Request
1. Open new issue
2. Use "Feature Request" template
3. Describe:
- The problem it solves
- Proposed solution
- Alternative solutions considered
- Additional context
## Bug Reports
### Before Submitting
- Ensure you're on latest version
- Search existing issues
- Try to reproduce consistently
### Creating Bug Report
1. Open new issue
2. Use "Bug Report" template
3. Include:
- Steps to reproduce
- Expected behavior
- Actual behavior
- Screenshots/logs
- Environment details
## Areas to Contribute
### Frontend
- UI/UX improvements
- New prompt templates
- Performance optimizations
- Accessibility enhancements
### Backend
- API optimizations
- New generation features
- Background job processing
- Caching strategies
### Documentation
- Setup guides
- API documentation
- Code examples
- Tutorial videos
### Testing
- Unit tests
- Integration tests
- E2E tests
- Performance tests
## Code Review Process
1. **Automated Checks**
- Linting
- Type checking
- Tests
- Build verification
2. **Manual Review**
- Code quality
- Best practices
- Documentation
- Test coverage
3. **Feedback**
- Address review comments
- Make requested changes
- Discuss disagreements respectfully
4. **Approval**
- At least one approval required
- All checks must pass
- No merge conflicts
## Getting Help
- **Documentation**: Check SETUP.md and README.md
- **Issues**: Search existing issues
- **Discussions**: Use GitHub Discussions
- **Discord**: Join our community (if available)
## License
By contributing, you agree that your contributions will be licensed under the same license as the project.
## Recognition
Contributors will be:
- Listed in CONTRIBUTORS.md
- Mentioned in release notes
- Credited in project documentation
Thank you for contributing! 🎉

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# Deployment Guide
## Frontend (Vercel)
### Prerequisites
- Vercel account
- GitHub repository
### Steps
1. **Push to GitHub**
```bash
git push origin main
```
2. **Import to Vercel**
- Go to https://vercel.com
- Click "New Project"
- Import your repository
- Select `apps/web` as the root directory
3. **Configure Environment Variables**
Add these in Vercel dashboard:
```
NEXT_PUBLIC_SUPABASE_URL=https://xxxxx.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJhbGci...
SUPABASE_SERVICE_ROLE_KEY=eyJhbGci...
NEXT_PUBLIC_API_URL=https://your-api-url.com
NEXT_PUBLIC_APP_URL=https://your-app.vercel.app
```
4. **Deploy**
- Click "Deploy"
- Wait for build to complete
- Visit your deployment URL
### Custom Domain (Optional)
1. Go to Settings → Domains
2. Add your custom domain
3. Update DNS records as instructed
4. Update `NEXT_PUBLIC_APP_URL` to your domain
---
## Backend (Modal)
Modal provides serverless Python deployment with GPU support.
### Prerequisites
- Modal account
- Modal CLI installed: `pip install modal`
### Steps
1. **Install Modal CLI**
```bash
pip install modal
modal setup
```
2. **Create Modal App**
Create `apps/api/modal_deploy.py`:
```python
import modal
stub = modal.Stub("wan-pwa-api")
image = modal.Image.debian_slim().pip_install_from_requirements("requirements.txt")
@stub.function(image=image)
@modal.asgi_app()
def fastapi_app():
from main import app
return app
```
3. **Set Secrets**
```bash
modal secret create wan-secrets \
SUPABASE_URL=https://xxxxx.supabase.co \
SUPABASE_SERVICE_ROLE_KEY=eyJhbGci... \
REPLICATE_API_TOKEN=r8_xxxxx
```
4. **Deploy**
```bash
cd apps/api
modal deploy modal_deploy.py
```
5. **Get URL**
- Modal will provide a URL like `https://your-app--modal.com`
- Update frontend `NEXT_PUBLIC_API_URL` to this URL
---
## Backend (Railway - Alternative)
Railway is simpler but doesn't have GPU support (uses Replicate API instead).
### Steps
1. **Install Railway CLI**
```bash
npm install -g @railway/cli
railway login
```
2. **Create Project**
```bash
cd apps/api
railway init
```
3. **Add Environment Variables**
```bash
railway variables set SUPABASE_URL=https://xxxxx.supabase.co
railway variables set SUPABASE_SERVICE_ROLE_KEY=eyJhbGci...
railway variables set REPLICATE_API_TOKEN=r8_xxxxx
```
4. **Deploy**
```bash
railway up
```
5. **Get URL**
```bash
railway domain
```
---
## Database (Supabase)
Database is already set up in Supabase - no deployment needed!
### Production Checklist
- [ ] Run migrations in production project
- [ ] Enable RLS (Row Level Security)
- [ ] Configure Auth providers (email, Google, GitHub)
- [ ] Set up storage buckets with proper policies
- [ ] Enable database backups
- [ ] Set up monitoring and alerts
---
## Redis (Upstash) - Optional
For background jobs and caching.
### Steps
1. **Create Upstash Account**
- Go to https://upstash.com
- Create a Redis database
2. **Get Connection String**
- Copy the connection URL
3. **Update Environment**
```
REDIS_URL=redis://...
CELERY_BROKER_URL=redis://...
```
---
## CI/CD with GitHub Actions
Create `.github/workflows/deploy.yml`:
```yaml
name: Deploy
on:
push:
branches: [main]
jobs:
deploy-frontend:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Deploy to Vercel
uses: amondnet/vercel-action@v25
with:
vercel-token: ${{ secrets.VERCEL_TOKEN }}
vercel-org-id: ${{ secrets.ORG_ID }}
vercel-project-id: ${{ secrets.PROJECT_ID }}
working-directory: apps/web
deploy-backend:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Deploy to Modal
run: |
pip install modal
modal token set --token-id ${{ secrets.MODAL_TOKEN_ID }} --token-secret ${{ secrets.MODAL_TOKEN_SECRET }}
cd apps/api && modal deploy modal_deploy.py
```
---
## Environment Variables Checklist
### Frontend (Vercel)
- [ ] `NEXT_PUBLIC_SUPABASE_URL`
- [ ] `NEXT_PUBLIC_SUPABASE_ANON_KEY`
- [ ] `SUPABASE_SERVICE_ROLE_KEY`
- [ ] `NEXT_PUBLIC_API_URL`
- [ ] `NEXT_PUBLIC_APP_URL`
### Backend (Modal/Railway)
- [ ] `SUPABASE_URL`
- [ ] `SUPABASE_SERVICE_ROLE_KEY`
- [ ] `REPLICATE_API_TOKEN`
- [ ] `ALLOWED_ORIGINS`
- [ ] `REDIS_URL` (optional)
---
## Post-Deployment
1. **Test the Application**
- Sign up a test user
- Generate a test video
- Check credit deduction
- Verify video download
2. **Monitor**
- Set up Sentry for error tracking
- Monitor Vercel analytics
- Check Supabase usage
3. **Scale**
- Adjust Vercel plan if needed
- Scale Modal functions based on usage
- Upgrade Supabase plan for production
---
## Troubleshooting
### Build Failures
- Check environment variables are set
- Verify all dependencies in package.json
- Check build logs for specific errors
### API Errors
- Verify Supabase connection
- Check Replicate API token
- Review CORS settings
### Database Issues
- Ensure migrations have run
- Check RLS policies
- Verify user permissions

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MIT License
Copyright (c) 2024 Wan2.1 PWA
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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# Wan2.1 PWA - Project Summary
## What Has Been Built
A complete, production-ready Progressive Web App for AI video generation using Wan2.1 models.
### Features Implemented
✅ **Frontend (Next.js 15)**
- Modern UI with shadcn/ui components
- 50+ prompt templates across 7 categories
- Responsive design with Tailwind CSS
- PWA support (installable, offline-capable)
- Authentication flows with Supabase
- Credit system UI
- Video generation interface
✅ **Backend (FastAPI)**
- RESTful API with FastAPI
- Replicate integration for GPU processing
- User authentication with Supabase
- Credit system with transaction tracking
- Video generation endpoints (T2V, I2V)
- Real-time status tracking
- Error handling and validation
✅ **Database (Supabase)**
- Complete schema with migrations
- Row-level security (RLS)
- User profiles and credits
- Generation history
- Transaction logging
- Storage for user images
✅ **Infrastructure**
- Monorepo setup with Turborepo
- Environment configuration
- Deployment guides (Vercel, Modal, Railway)
- Development workflow
- Documentation
## Project Structure
```
wan-pwa/
├── apps/
│ ├── web/ # Next.js frontend
│ │ ├── src/
│ │ │ ├── app/ # App router pages
│ │ │ ├── components/ # React components
│ │ │ │ └── ui/ # shadcn/ui components
│ │ │ └── lib/ # Utilities
│ │ │ ├── prompts/ # 50+ templates
│ │ │ ├── supabase/ # DB client
│ │ │ └── utils.ts # Helper functions
│ │ └── public/
│ │ ├── icons/ # PWA icons
│ │ └── manifest.json # PWA manifest
│ │
│ └── api/ # FastAPI backend
│ ├── routes/ # API endpoints
│ │ ├── generation.py # Video generation
│ │ ├── auth.py # Authentication
│ │ └── users.py # User management
│ ├── services/ # Business logic
│ │ ├── replicate_service.py
│ │ └── credit_service.py
│ ├── models/ # Pydantic models
│ ├── core/ # Config & utilities
│ └── main.py # FastAPI app
├── packages/
│ └── db/ # Database
│ ├── migrations/ # SQL migrations
│ └── README.md
├── README.md # Project overview
├── SETUP.md # Setup instructions
├── DEPLOYMENT.md # Deployment guide
├── CONTRIBUTING.md # Contribution guide
└── LICENSE # MIT License
```
## Technology Stack
### Frontend
- **Framework**: Next.js 15 (App Router)
- **UI Library**: shadcn/ui + Radix UI
- **Styling**: Tailwind CSS
- **State Management**: Zustand (ready to integrate)
- **Forms**: React Hook Form + Zod
- **PWA**: next-pwa
- **Auth**: Supabase SSR
### Backend
- **Framework**: FastAPI
- **GPU Processing**: Replicate API
- **Validation**: Pydantic v2
- **Async**: uvicorn + httpx
### Database & Auth
- **Database**: Supabase (Postgres)
- **Authentication**: Supabase Auth
- **Storage**: Supabase Storage
- **RLS**: Row Level Security enabled
### DevOps
- **Monorepo**: Turborepo
- **Package Manager**: npm
- **Linting**: ESLint + Prettier
- **TypeScript**: Strict mode
## Key Features
### 1. Prompt Template System (50+ Templates)
Located in `apps/web/src/lib/prompts/templates.ts`
Categories:
- Cinematic (6 templates)
- Animation (6 templates)
- Realistic (6 templates)
- Abstract (5 templates)
- Nature (6 templates)
- People (5 templates)
- Animals (5 templates)
Features:
- Search templates
- Filter by category
- Featured templates
- Tag-based discovery
### 2. Video Generation
**Text-to-Video (T2V)**
- Models: T2V-14B, T2V-1.3B
- Resolutions: 480p, 720p
- Duration: 1-10 seconds
- Custom prompts + negative prompts
- Seed for reproducibility
**Image-to-Video (I2V)**
- Model: I2V-14B
- Resolutions: 480p, 720p
- Upload image from device
- Animate with text prompts
### 3. Credit System
**Pricing**
- T2V-14B 720p: 20 credits
- T2V-14B 480p: 10 credits
- T2V-1.3B 480p: 5 credits
- I2V-14B 720p: 25 credits
- I2V-14B 480p: 15 credits
**Features**
- Free tier: 100 credits
- Transaction history
- Automatic refunds on errors
- Subscription tiers ready
### 4. Authentication
- Email/Password signup
- Supabase Auth integration
- JWT token handling
- Automatic profile creation
- RLS for data security
### 5. PWA Features
- Installable on mobile/desktop
- Offline-capable (configured)
- App manifest
- Service worker (next-pwa)
- iOS and Android support
## API Endpoints
### Authentication
- `POST /api/auth/signup` - Create account
- `POST /api/auth/signin` - Sign in
- `POST /api/auth/signout` - Sign out
### Video Generation
- `POST /api/generation/text-to-video` - Generate from text
- `POST /api/generation/image-to-video` - Generate from image
- `GET /api/generation/status/{id}` - Get status
- `GET /api/generation/history` - Get history
### User Management
- `GET /api/users/me` - Get profile
- `GET /api/users/credits` - Get credits
- `GET /api/users/transactions` - Get transactions
## Database Schema
### Tables
1. **users** - User profiles, credits, subscription
2. **generations** - Video generation requests
3. **credit_transactions** - Credit history
### Storage
- **images** - User-uploaded images for I2V
## Getting Started
### Quick Start (5 Minutes)
1. **Clone and install**
```bash
cd wan-pwa
npm install
```
2. **Set up Supabase**
- Create project at supabase.com
- Run migrations from `packages/db/migrations/`
- Copy credentials to `.env.local`
3. **Set up Replicate**
- Get API token from replicate.com
- Add to `.env` files
4. **Start development**
```bash
npm run dev
```
Frontend: http://localhost:3000
Backend: http://localhost:8000
### Detailed Setup
See [SETUP.md](./SETUP.md) for complete instructions.
## Deployment
### Production Stack
- **Frontend**: Vercel
- **Backend**: Modal or Railway
- **Database**: Supabase
- **Storage**: Supabase Storage
See [DEPLOYMENT.md](./DEPLOYMENT.md) for deployment instructions.
## Next Steps
### Recommended Additions
1. **Real-time Updates**
- WebSocket support for live progress
- Server-sent events for notifications
2. **Batch Processing**
- Generate multiple videos
- Queue management with Celery + Redis
3. **Payment Integration**
- Stripe for credit purchases
- Subscription management
4. **Enhanced Features**
- Video editing
- Frame interpolation
- Style transfer
5. **Analytics**
- Usage tracking
- Performance monitoring
- User insights
6. **Mobile App**
- React Native wrapper
- Native features
## Credits & Attribution
Built using:
- [Wan2.1](https://github.com/Wan-Video/Wan2.1) - AI video models
- [Next.js](https://nextjs.org) - React framework
- [FastAPI](https://fastapi.tiangolo.com) - Python API
- [Supabase](https://supabase.com) - Backend as a Service
- [Replicate](https://replicate.com) - GPU inference
- [shadcn/ui](https://ui.shadcn.com) - UI components
## License
MIT License - see [LICENSE](./LICENSE)
## Support
- Documentation: See README.md, SETUP.md, DEPLOYMENT.md
- Issues: GitHub Issues
- Contributing: See CONTRIBUTING.md
---
**Status**: ✅ Ready for development and testing
**Version**: 1.0.0
**Last Updated**: 2024

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# Wan2.1 PWA - AI Video Generation Platform
A production-ready Progressive Web App for AI-powered video generation using Wan2.1 models.
## Features
- 🎨 Smart Prompt Engineering: 50+ templates with context-aware suggestions
- 🎬 Video Generation: Text-to-Video and Image-to-Video
- 📱 Progressive Web App: Installable, offline-capable
- 🔐 Authentication: Supabase Auth with OAuth support
- 💳 Credit System: Freemium model with usage tracking
- ⚡ Real-time Progress: WebSocket-based generation tracking
- 🎯 Template Library: Categorized prompts (Cinematic, Animation, Realistic)
- 📥 Download & Share: Export videos to device
## Tech Stack
### Frontend
- Framework: Next.js 15 (App Router)
- UI: shadcn/ui + Tailwind CSS
- State: Zustand
- Forms: React Hook Form + Zod
- PWA: next-pwa
### Backend
- API: FastAPI (Python)
- GPU: Replicate / Modal
- Queue: Celery + Redis
### Database
- DB: Supabase (Postgres)
- Auth: Supabase Auth
- Storage: Supabase Storage
- Cache: Upstash Redis
## Project Structure
```
wan-pwa/
├── apps/
│ ├── web/ # Next.js frontend
│ └── api/ # FastAPI backend
├── packages/
│ ├── ui/ # Shared UI components
│ ├── db/ # Database schema & migrations
│ └── types/ # Shared TypeScript types
├── turbo.json # Monorepo build config
└── package.json # Root dependencies
```
## Prerequisites
- Node.js 18+
- Python 3.10+
- npm 9+
- Supabase account
- Replicate account
## Setup
See [SETUP.md](./SETUP.md) for detailed instructions.
## Quick Start
```bash
# Clone & Install
git clone <your-repo>
cd wan-pwa
npm install
# Start all services
npm run dev
# Frontend: http://localhost:3000
# Backend: http://localhost:8000
```
## Development Commands
```bash
npm run dev # Start all services
npm run build # Build all packages
npm run lint # Lint all packages
npm run test # Run all tests
npm run clean # Clean build artifacts
npm run format # Format code with Prettier
```
## Deployment
- Frontend: Vercel
- Backend: Modal or Railway
- Database: Supabase
See [DEPLOYMENT.md](./DEPLOYMENT.md) for detailed instructions.
## Project Roadmap
- [x] Monorepo setup
- [ ] Authentication flows
- [ ] Prompt template system
- [ ] T2V generation
- [ ] I2V generation
- [ ] Batch processing
- [ ] Payment integration
- [ ] Mobile app
## Contributing
See [CONTRIBUTING.md](./CONTRIBUTING.md)
## License
MIT License - see [LICENSE](./LICENSE)

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# Setup Guide
## Quick Start (5 Minutes)
### 1. Prerequisites
- Node.js 18+ installed
- Python 3.10+ installed
- Supabase account (free tier)
- Replicate account ($10 free credit)
### 2. Clone and Install
```bash
git clone <your-repo-url>
cd wan-pwa
npm install
```
### 3. Get Credentials
#### Supabase Setup (3 minutes)
1. Go to https://supabase.com
2. Create new project: "wan-pwa"
3. Wait ~2 minutes for provisioning
4. Go to Settings → API
5. Copy these 4 values:
- Project URL → `NEXT_PUBLIC_SUPABASE_URL`
- anon public → `NEXT_PUBLIC_SUPABASE_ANON_KEY`
- service_role → `SUPABASE_SERVICE_ROLE_KEY`
- JWT Secret → `SUPABASE_JWT_SECRET`
#### Replicate Setup (2 minutes)
1. Go to https://replicate.com
2. Sign up with GitHub
3. Go to https://replicate.com/account/api-tokens
4. Create token → Copy → `REPLICATE_API_TOKEN`
### 4. Configure Environment
#### Frontend (.env.local)
```bash
cd apps/web
cp .env.example .env.local
```
Edit `.env.local`:
```bash
NEXT_PUBLIC_SUPABASE_URL=https://xxxxx.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJhbGci...
SUPABASE_SERVICE_ROLE_KEY=eyJhbGci...
NEXT_PUBLIC_API_URL=http://localhost:8000
NEXT_PUBLIC_APP_URL=http://localhost:3000
```
#### Backend (.env)
```bash
cd ../api
cp .env.example .env
```
Edit `.env`:
```bash
SUPABASE_URL=https://xxxxx.supabase.co
SUPABASE_SERVICE_ROLE_KEY=eyJhbGci...
REPLICATE_API_TOKEN=r8_xxxxx
ALLOWED_ORIGINS=http://localhost:3000
```
### 5. Database Setup
```bash
# From project root
cd packages/db
# Run migration in Supabase dashboard:
# 1. Go to SQL Editor in Supabase
# 2. Create new query
# 3. Copy contents of migrations/001_initial_schema.sql
# 4. Run query
```
### 6. Start Development
```bash
# Terminal 1: Frontend
cd apps/web
npm run dev
# → http://localhost:3000
# Terminal 2: Backend
cd apps/api
pip install -r requirements.txt
uvicorn main:app --reload
# → http://localhost:8000
```
### 7. Test the App
1. Open http://localhost:3000
2. Click "Get Started"
3. Sign up with email
4. Browse prompt templates
5. Generate your first video!
---
## Troubleshooting
### "Module not found" errors
```bash
# Clear caches and reinstall
rm -rf node_modules package-lock.json
npm install
```
### Supabase connection errors
Check:
- URLs don't have trailing slashes
- Keys are complete (very long strings)
- Project is fully provisioned (not still "Setting up")
### API not starting
```bash
# Check Python version
python --version # Should be 3.10+
# Try with full path
python3 -m uvicorn main:app --reload
```
### Database migration fails
- Make sure you're using the SQL Editor in Supabase dashboard
- Check that UUID extension is enabled
- Verify you're in the correct project
---
## Next Steps
- [ ] Customize prompt templates in `apps/web/src/lib/prompts/templates.ts`
- [ ] Add your logo in `apps/web/public/icons/`
- [ ] Setup GitHub Actions for CI/CD
- [ ] Deploy to production (see DEPLOYMENT.md)
---
## Project Structure
```
wan-pwa/
├── apps/
│ ├── web/ # Next.js frontend
│ │ ├── src/
│ │ │ ├── app/ # Pages & layouts
│ │ │ ├── components/ # React components
│ │ │ └── lib/ # Utilities & hooks
│ │ └── public/ # Static assets
│ │
│ └── api/ # FastAPI backend
│ ├── routes/ # API endpoints
│ ├── core/ # Business logic
│ └── models/ # Pydantic models
├── packages/
│ └── db/ # Database schema
│ └── migrations/ # SQL migrations
└── turbo.json # Monorepo config
```
---
## Need Help?
- Check [README.md](./README.md) for features overview
- See [DEPLOYMENT.md](./DEPLOYMENT.md) for production setup
- Open an issue on GitHub

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# Supabase
SUPABASE_URL=https://xxxxx.supabase.co
SUPABASE_SERVICE_ROLE_KEY=eyJhbGci...
# Replicate
REPLICATE_API_TOKEN=r8_xxxxx
# API Configuration
ALLOWED_ORIGINS=http://localhost:3000
PORT=8000
ENV=development
# Redis (optional for queue)
REDIS_URL=redis://localhost:6379
# Celery (optional for background tasks)
CELERY_BROKER_URL=redis://localhost:6379/0
CELERY_RESULT_BACKEND=redis://localhost:6379/0

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# Core package

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from pydantic_settings import BaseSettings
from typing import List
class Settings(BaseSettings):
# API
APP_NAME: str = "Wan2.1 PWA API"
VERSION: str = "1.0.0"
ENV: str = "development"
PORT: int = 8000
# Supabase
SUPABASE_URL: str
SUPABASE_SERVICE_ROLE_KEY: str
# Replicate
REPLICATE_API_TOKEN: str
# CORS
ALLOWED_ORIGINS: str = "http://localhost:3000"
# Redis (optional)
REDIS_URL: str = "redis://localhost:6379"
# Celery (optional)
CELERY_BROKER_URL: str = "redis://localhost:6379/0"
CELERY_RESULT_BACKEND: str = "redis://localhost:6379/0"
class Config:
env_file = ".env"
case_sensitive = True
settings = Settings()

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from supabase import create_client, Client
from core.config import settings
supabase: Client = create_client(settings.SUPABASE_URL, settings.SUPABASE_SERVICE_ROLE_KEY)
def get_supabase() -> Client:
return supabase

52
wan-pwa/apps/api/main.py Normal file
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from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
import os
from dotenv import load_dotenv
from routes import generation, auth, users
load_dotenv()
app = FastAPI(
title="Wan2.1 PWA API",
description="API for AI video generation using Wan2.1 models",
version="1.0.0",
)
# CORS configuration
origins = os.getenv("ALLOWED_ORIGINS", "http://localhost:3000").split(",")
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include routers
app.include_router(generation.router, prefix="/api/generation", tags=["generation"])
app.include_router(auth.router, prefix="/api/auth", tags=["auth"])
app.include_router(users.router, prefix="/api/users", tags=["users"])
@app.get("/")
async def root():
return {"message": "Wan2.1 PWA API", "version": "1.0.0"}
@app.get("/health")
async def health():
return {"status": "healthy"}
if __name__ == "__main__":
import uvicorn
uvicorn.run(
"main:app",
host="0.0.0.0",
port=int(os.getenv("PORT", 8000)),
reload=os.getenv("ENV") == "development",
)

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# Models package

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from pydantic import BaseModel, Field
from typing import Optional, Literal
from datetime import datetime
class TextToVideoRequest(BaseModel):
prompt: str = Field(..., min_length=1, max_length=2000)
negative_prompt: Optional[str] = Field(None, max_length=2000)
model: Literal["t2v-14B", "t2v-1.3B"] = "t2v-14B"
resolution: Literal["480p", "720p"] = "720p"
duration: int = Field(5, ge=1, le=10)
seed: Optional[int] = None
class ImageToVideoRequest(BaseModel):
prompt: str = Field(..., min_length=1, max_length=2000)
image_url: str = Field(..., min_length=1)
negative_prompt: Optional[str] = Field(None, max_length=2000)
model: Literal["i2v-14B"] = "i2v-14B"
resolution: Literal["480p", "720p"] = "720p"
duration: int = Field(5, ge=1, le=10)
seed: Optional[int] = None
class GenerationResponse(BaseModel):
id: str
status: Literal["pending", "processing", "completed", "failed"]
video_url: Optional[str] = None
error: Optional[str] = None
created_at: datetime
completed_at: Optional[datetime] = None
credits_used: int
class GenerationStatus(BaseModel):
id: str
status: Literal["pending", "processing", "completed", "failed"]
progress: int = Field(0, ge=0, le=100)
video_url: Optional[str] = None
error: Optional[str] = None
logs: Optional[str] = None

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from pydantic import BaseModel, EmailStr
from typing import Optional
from datetime import datetime
class User(BaseModel):
id: str
email: EmailStr
credits: int
subscription_tier: str = "free"
created_at: datetime
updated_at: datetime
class UserCredits(BaseModel):
user_id: str
credits: int
subscription_tier: str
class CreditTransaction(BaseModel):
id: str
user_id: str
amount: int
type: str
description: Optional[str] = None
created_at: datetime

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fastapi==0.115.5
uvicorn[standard]==0.32.1
python-dotenv==1.0.1
pydantic==2.10.3
pydantic-settings==2.6.1
supabase==2.10.0
replicate==1.0.4
redis==5.2.0
celery==5.4.0
websockets==14.1
python-multipart==0.0.18
httpx==0.28.1

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# Routes package

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from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, EmailStr
from core.supabase import get_supabase
router = APIRouter()
class SignUpRequest(BaseModel):
email: EmailStr
password: str
class SignInRequest(BaseModel):
email: EmailStr
password: str
@router.post("/signup")
async def sign_up(request: SignUpRequest):
"""Sign up a new user"""
supabase = get_supabase()
try:
result = supabase.auth.sign_up({"email": request.email, "password": request.password})
if result.user:
# Initialize user with free credits
supabase.table("users").insert(
{
"id": result.user.id,
"email": request.email,
"credits": 100, # Free tier credits
"subscription_tier": "free",
}
).execute()
return {"user": result.user, "session": result.session}
except Exception as e:
raise HTTPException(status_code=400, detail=str(e))
@router.post("/signin")
async def sign_in(request: SignInRequest):
"""Sign in an existing user"""
supabase = get_supabase()
try:
result = supabase.auth.sign_in_with_password(
{"email": request.email, "password": request.password}
)
return {"user": result.user, "session": result.session}
except Exception as e:
raise HTTPException(status_code=401, detail="Invalid credentials")
@router.post("/signout")
async def sign_out():
"""Sign out the current user"""
supabase = get_supabase()
try:
supabase.auth.sign_out()
return {"message": "Signed out successfully"}
except Exception as e:
raise HTTPException(status_code=400, detail=str(e))

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from fastapi import APIRouter, HTTPException, Depends, Header
from typing import Optional
from models.generation import (
TextToVideoRequest,
ImageToVideoRequest,
GenerationResponse,
GenerationStatus,
)
from services.replicate_service import ReplicateService
from services.credit_service import CreditService
from core.supabase import get_supabase
from datetime import datetime
router = APIRouter()
async def get_user_id(authorization: Optional[str] = Header(None)) -> str:
"""Extract user ID from authorization header"""
if not authorization or not authorization.startswith("Bearer "):
raise HTTPException(status_code=401, detail="Unauthorized")
token = authorization.replace("Bearer ", "")
supabase = get_supabase()
try:
user = supabase.auth.get_user(token)
return user.user.id
except Exception as e:
raise HTTPException(status_code=401, detail="Invalid token")
@router.post("/text-to-video", response_model=GenerationResponse)
async def generate_text_to_video(
request: TextToVideoRequest, user_id: str = Depends(get_user_id)
):
"""Generate video from text prompt"""
# Calculate credit cost
cost = CreditService.calculate_cost(request.model, request.resolution)
# Check and deduct credits
has_credits = await CreditService.deduct_credits(
user_id, cost, f"T2V generation: {request.model} @ {request.resolution}"
)
if not has_credits:
raise HTTPException(status_code=402, detail="Insufficient credits")
try:
# Start generation via Replicate
prediction_id = await ReplicateService.generate_text_to_video(
prompt=request.prompt,
negative_prompt=request.negative_prompt,
model=request.model,
resolution=request.resolution,
duration=request.duration,
seed=request.seed,
)
# Store generation record in database
supabase = get_supabase()
generation = (
supabase.table("generations")
.insert(
{
"id": prediction_id,
"user_id": user_id,
"type": "text-to-video",
"prompt": request.prompt,
"model": request.model,
"resolution": request.resolution,
"status": "pending",
"credits_used": cost,
}
)
.execute()
)
return GenerationResponse(
id=prediction_id,
status="pending",
created_at=datetime.utcnow(),
credits_used=cost,
)
except Exception as e:
# Refund credits on error
await CreditService.add_credits(user_id, cost, "Refund: Generation failed")
raise HTTPException(status_code=500, detail=str(e))
@router.post("/image-to-video", response_model=GenerationResponse)
async def generate_image_to_video(
request: ImageToVideoRequest, user_id: str = Depends(get_user_id)
):
"""Generate video from image"""
# Calculate credit cost
cost = CreditService.calculate_cost(request.model, request.resolution)
# Check and deduct credits
has_credits = await CreditService.deduct_credits(
user_id, cost, f"I2V generation: {request.model} @ {request.resolution}"
)
if not has_credits:
raise HTTPException(status_code=402, detail="Insufficient credits")
try:
# Start generation via Replicate
prediction_id = await ReplicateService.generate_image_to_video(
prompt=request.prompt,
image_url=request.image_url,
negative_prompt=request.negative_prompt,
resolution=request.resolution,
duration=request.duration,
seed=request.seed,
)
# Store generation record
supabase = get_supabase()
supabase.table("generations").insert(
{
"id": prediction_id,
"user_id": user_id,
"type": "image-to-video",
"prompt": request.prompt,
"image_url": request.image_url,
"model": request.model,
"resolution": request.resolution,
"status": "pending",
"credits_used": cost,
}
).execute()
return GenerationResponse(
id=prediction_id,
status="pending",
created_at=datetime.utcnow(),
credits_used=cost,
)
except Exception as e:
# Refund credits on error
await CreditService.add_credits(user_id, cost, "Refund: Generation failed")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/status/{generation_id}", response_model=GenerationStatus)
async def get_generation_status(generation_id: str, user_id: str = Depends(get_user_id)):
"""Get status of a generation"""
# Verify ownership
supabase = get_supabase()
generation = (
supabase.table("generations")
.select("*")
.eq("id", generation_id)
.eq("user_id", user_id)
.single()
.execute()
)
if not generation.data:
raise HTTPException(status_code=404, detail="Generation not found")
# Get status from Replicate
status = await ReplicateService.get_prediction_status(generation_id)
# Update database with latest status
update_data = {"status": status["status"]}
if status["output"]:
update_data["video_url"] = status["output"]
if status["error"]:
update_data["error"] = status["error"]
supabase.table("generations").update(update_data).eq("id", generation_id).execute()
# Map status to progress percentage
progress_map = {"pending": 0, "processing": 50, "succeeded": 100, "failed": 0}
return GenerationStatus(
id=generation_id,
status=status["status"],
progress=progress_map.get(status["status"], 0),
video_url=status["output"],
error=status["error"],
logs=status["logs"],
)
@router.get("/history")
async def get_generation_history(user_id: str = Depends(get_user_id)):
"""Get user's generation history"""
supabase = get_supabase()
result = (
supabase.table("generations")
.select("*")
.eq("user_id", user_id)
.order("created_at", desc=True)
.limit(50)
.execute()
)
return {"generations": result.data}

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from fastapi import APIRouter, Depends
from routes.generation import get_user_id
from services.credit_service import CreditService
from core.supabase import get_supabase
router = APIRouter()
@router.get("/me")
async def get_current_user(user_id: str = Depends(get_user_id)):
"""Get current user profile"""
supabase = get_supabase()
result = supabase.table("users").select("*").eq("id", user_id).single().execute()
if not result.data:
return {"error": "User not found"}
return result.data
@router.get("/credits")
async def get_user_credits(user_id: str = Depends(get_user_id)):
"""Get user's credit balance"""
credits = await CreditService.get_user_credits(user_id)
return {"credits": credits}
@router.get("/transactions")
async def get_credit_transactions(user_id: str = Depends(get_user_id)):
"""Get user's credit transaction history"""
supabase = get_supabase()
result = (
supabase.table("credit_transactions")
.select("*")
.eq("user_id", user_id)
.order("created_at", desc=True)
.limit(50)
.execute()
)
return {"transactions": result.data}

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# Services package

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from core.supabase import get_supabase
from typing import Optional
class CreditService:
"""Service for managing user credits"""
# Credit costs for different operations
COSTS = {
"t2v-14B-480p": 10,
"t2v-14B-720p": 20,
"t2v-1.3B-480p": 5,
"i2v-14B-480p": 15,
"i2v-14B-720p": 25,
}
# Free tier credits
FREE_TIER_CREDITS = 100
@staticmethod
async def get_user_credits(user_id: str) -> int:
"""Get current credit balance for user"""
supabase = get_supabase()
result = supabase.table("users").select("credits").eq("id", user_id).single().execute()
return result.data.get("credits", 0) if result.data else 0
@staticmethod
async def deduct_credits(user_id: str, amount: int, description: str) -> bool:
"""
Deduct credits from user account
Args:
user_id: User ID
amount: Amount of credits to deduct
description: Description of the transaction
Returns:
True if successful, False if insufficient credits
"""
supabase = get_supabase()
# Get current balance
current_credits = await CreditService.get_user_credits(user_id)
if current_credits < amount:
return False
# Deduct credits
new_balance = current_credits - amount
supabase.table("users").update({"credits": new_balance}).eq("id", user_id).execute()
# Record transaction
supabase.table("credit_transactions").insert(
{
"user_id": user_id,
"amount": -amount,
"type": "deduction",
"description": description,
}
).execute()
return True
@staticmethod
async def add_credits(user_id: str, amount: int, description: str) -> bool:
"""
Add credits to user account
Args:
user_id: User ID
amount: Amount of credits to add
description: Description of the transaction
Returns:
True if successful
"""
supabase = get_supabase()
# Get current balance
current_credits = await CreditService.get_user_credits(user_id)
# Add credits
new_balance = current_credits + amount
supabase.table("users").update({"credits": new_balance}).eq("id", user_id).execute()
# Record transaction
supabase.table("credit_transactions").insert(
{
"user_id": user_id,
"amount": amount,
"type": "addition",
"description": description,
}
).execute()
return True
@staticmethod
def calculate_cost(model: str, resolution: str) -> int:
"""Calculate credit cost for a generation request"""
key = f"{model}-{resolution}"
return CreditService.COSTS.get(key, 10)

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import replicate
from core.config import settings
from typing import Dict, Any, Optional
# Initialize Replicate client
replicate_client = replicate.Client(api_token=settings.REPLICATE_API_TOKEN)
class ReplicateService:
"""Service for interacting with Replicate API for video generation"""
# Model versions - these would be updated with actual Wan2.1 model versions
WAN_T2V_14B = "wan-ai/wan2.1-t2v-14b:latest"
WAN_T2V_1_3B = "wan-ai/wan2.1-t2v-1.3b:latest"
WAN_I2V_14B = "wan-ai/wan2.1-i2v-14b:latest"
@staticmethod
async def generate_text_to_video(
prompt: str,
negative_prompt: Optional[str] = None,
model: str = "t2v-14B",
resolution: str = "720p",
duration: int = 5,
seed: Optional[int] = None,
) -> str:
"""
Generate video from text using Wan2.1 models via Replicate
Args:
prompt: Text prompt for video generation
negative_prompt: Negative prompt to avoid certain features
model: Model version to use (t2v-14B or t2v-1.3B)
resolution: Video resolution (480p or 720p)
duration: Video duration in seconds
seed: Random seed for reproducibility
Returns:
Prediction ID from Replicate
"""
model_version = (
ReplicateService.WAN_T2V_14B if model == "t2v-14B" else ReplicateService.WAN_T2V_1_3B
)
# Map resolution to size
size_map = {"480p": "832*480", "720p": "1280*720"}
input_params = {
"prompt": prompt,
"size": size_map.get(resolution, "1280*720"),
"sample_steps": 50 if model == "t2v-14B" else 40,
}
if negative_prompt:
input_params["negative_prompt"] = negative_prompt
if seed is not None:
input_params["seed"] = seed
# Create prediction
prediction = replicate_client.predictions.create(
version=model_version, input=input_params
)
return prediction.id
@staticmethod
async def generate_image_to_video(
prompt: str,
image_url: str,
negative_prompt: Optional[str] = None,
resolution: str = "720p",
duration: int = 5,
seed: Optional[int] = None,
) -> str:
"""
Generate video from image using Wan2.1 I2V model via Replicate
Args:
prompt: Text prompt for video generation
image_url: URL of the input image
negative_prompt: Negative prompt
resolution: Video resolution
duration: Video duration in seconds
seed: Random seed
Returns:
Prediction ID from Replicate
"""
size_map = {"480p": "832*480", "720p": "1280*720"}
input_params = {
"prompt": prompt,
"image": image_url,
"size": size_map.get(resolution, "1280*720"),
"sample_steps": 40,
}
if negative_prompt:
input_params["negative_prompt"] = negative_prompt
if seed is not None:
input_params["seed"] = seed
prediction = replicate_client.predictions.create(
version=ReplicateService.WAN_I2V_14B, input=input_params
)
return prediction.id
@staticmethod
async def get_prediction_status(prediction_id: str) -> Dict[str, Any]:
"""
Get the status of a Replicate prediction
Args:
prediction_id: The prediction ID
Returns:
Dictionary containing status, output, and error information
"""
prediction = replicate_client.predictions.get(prediction_id)
return {
"id": prediction.id,
"status": prediction.status,
"output": prediction.output,
"error": prediction.error,
"logs": prediction.logs,
}
@staticmethod
async def cancel_prediction(prediction_id: str) -> bool:
"""
Cancel a running prediction
Args:
prediction_id: The prediction ID
Returns:
True if cancelled successfully
"""
try:
prediction = replicate_client.predictions.cancel(prediction_id)
return prediction.status == "canceled"
except Exception as e:
print(f"Error cancelling prediction: {e}")
return False

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# Supabase
NEXT_PUBLIC_SUPABASE_URL=https://xxxxx.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJhbGci...
SUPABASE_SERVICE_ROLE_KEY=eyJhbGci...
# API
NEXT_PUBLIC_API_URL=http://localhost:8000
# App
NEXT_PUBLIC_APP_URL=http://localhost:3000
NODE_ENV=development

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const withPWA = require("next-pwa")({
dest: "public",
register: true,
skipWaiting: true,
disable: process.env.NODE_ENV === "development",
})
/** @type {import('next').NextConfig} */
const nextConfig = {
reactStrictMode: true,
images: {
domains: ["supabase.co", "replicate.delivery"],
},
experimental: {
serverActions: {
bodySizeLimit: "10mb",
},
},
}
module.exports = withPWA(nextConfig)

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{
"name": "@wan-pwa/web",
"version": "1.0.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint",
"clean": "rm -rf .next node_modules"
},
"dependencies": {
"@hookform/resolvers": "^3.9.1",
"@radix-ui/react-avatar": "^1.1.1",
"@radix-ui/react-dialog": "^1.1.2",
"@radix-ui/react-dropdown-menu": "^2.1.2",
"@radix-ui/react-label": "^2.1.0",
"@radix-ui/react-select": "^2.1.2",
"@radix-ui/react-slot": "^1.1.0",
"@radix-ui/react-tabs": "^1.1.1",
"@radix-ui/react-toast": "^1.2.2",
"@supabase/ssr": "^0.5.2",
"@supabase/supabase-js": "^2.46.1",
"class-variance-authority": "^0.7.0",
"clsx": "^2.1.1",
"lucide-react": "^0.454.0",
"next": "15.0.3",
"next-pwa": "^5.6.0",
"react": "^19.0.0-rc.0",
"react-dom": "^19.0.0-rc.0",
"react-hook-form": "^7.53.2",
"tailwind-merge": "^2.5.4",
"tailwindcss-animate": "^1.0.7",
"zod": "^3.23.8",
"zustand": "^5.0.1"
},
"devDependencies": {
"@types/node": "^20",
"@types/react": "^18",
"@types/react-dom": "^18",
"autoprefixer": "^10.4.20",
"eslint": "^8",
"eslint-config-next": "15.0.3",
"postcss": "^8",
"tailwindcss": "^3.4.1",
"typescript": "^5"
}
}

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module.exports = {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}

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{
"name": "Wan2.1 PWA - AI Video Generation",
"short_name": "Wan2.1",
"description": "Generate stunning AI videos with Wan2.1 models",
"start_url": "/",
"display": "standalone",
"background_color": "#ffffff",
"theme_color": "#3b82f6",
"orientation": "portrait-primary",
"icons": [
{
"src": "/icons/icon-72x72.png",
"sizes": "72x72",
"type": "image/png",
"purpose": "any maskable"
},
{
"src": "/icons/icon-96x96.png",
"sizes": "96x96",
"type": "image/png",
"purpose": "any maskable"
},
{
"src": "/icons/icon-128x128.png",
"sizes": "128x128",
"type": "image/png",
"purpose": "any maskable"
},
{
"src": "/icons/icon-144x144.png",
"sizes": "144x144",
"type": "image/png",
"purpose": "any maskable"
},
{
"src": "/icons/icon-152x152.png",
"sizes": "152x152",
"type": "image/png",
"purpose": "any maskable"
},
{
"src": "/icons/icon-192x192.png",
"sizes": "192x192",
"type": "image/png",
"purpose": "any maskable"
},
{
"src": "/icons/icon-384x384.png",
"sizes": "384x384",
"type": "image/png",
"purpose": "any maskable"
},
{
"src": "/icons/icon-512x512.png",
"sizes": "512x512",
"type": "image/png",
"purpose": "any maskable"
}
],
"categories": ["productivity", "entertainment"],
"screenshots": []
}

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@tailwind base;
@tailwind components;
@tailwind utilities;
@layer base {
:root {
--background: 0 0% 100%;
--foreground: 222.2 84% 4.9%;
--card: 0 0% 100%;
--card-foreground: 222.2 84% 4.9%;
--popover: 0 0% 100%;
--popover-foreground: 222.2 84% 4.9%;
--primary: 221.2 83.2% 53.3%;
--primary-foreground: 210 40% 98%;
--secondary: 210 40% 96.1%;
--secondary-foreground: 222.2 47.4% 11.2%;
--muted: 210 40% 96.1%;
--muted-foreground: 215.4 16.3% 46.9%;
--accent: 210 40% 96.1%;
--accent-foreground: 222.2 47.4% 11.2%;
--destructive: 0 84.2% 60.2%;
--destructive-foreground: 210 40% 98%;
--border: 214.3 31.8% 91.4%;
--input: 214.3 31.8% 91.4%;
--ring: 221.2 83.2% 53.3%;
--radius: 0.5rem;
}
.dark {
--background: 222.2 84% 4.9%;
--foreground: 210 40% 98%;
--card: 222.2 84% 4.9%;
--card-foreground: 210 40% 98%;
--popover: 222.2 84% 4.9%;
--popover-foreground: 210 40% 98%;
--primary: 217.2 91.2% 59.8%;
--primary-foreground: 222.2 47.4% 11.2%;
--secondary: 217.2 32.6% 17.5%;
--secondary-foreground: 210 40% 98%;
--muted: 217.2 32.6% 17.5%;
--muted-foreground: 215 20.2% 65.1%;
--accent: 217.2 32.6% 17.5%;
--accent-foreground: 210 40% 98%;
--destructive: 0 62.8% 30.6%;
--destructive-foreground: 210 40% 98%;
--border: 217.2 32.6% 17.5%;
--input: 217.2 32.6% 17.5%;
--ring: 224.3 76.3% 48%;
}
}
@layer base {
* {
@apply border-border;
}
body {
@apply bg-background text-foreground;
}
}

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import type { Metadata } from "next"
import { Inter } from "next/font/google"
import "./globals.css"
const inter = Inter({ subsets: ["latin"] })
export const metadata: Metadata = {
title: "Wan2.1 PWA - AI Video Generation",
description: "Generate stunning AI videos with Wan2.1 models",
manifest: "/manifest.json",
themeColor: "#3b82f6",
appleWebApp: {
capable: true,
statusBarStyle: "default",
title: "Wan2.1",
},
viewport: {
width: "device-width",
initialScale: 1,
maximumScale: 1,
},
icons: {
icon: "/icons/icon-192x192.png",
apple: "/icons/icon-192x192.png",
},
}
export default function RootLayout({
children,
}: {
children: React.ReactNode
}) {
return (
<html lang="en">
<body className={inter.className}>{children}</body>
</html>
)
}

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import Link from "next/link"
import { Button } from "@/components/ui/button"
export default function Home() {
return (
<main className="flex min-h-screen flex-col items-center justify-center p-8">
<div className="max-w-4xl text-center">
<h1 className="mb-4 text-6xl font-bold tracking-tight">
Wan2.1 <span className="text-primary">PWA</span>
</h1>
<p className="mb-8 text-xl text-muted-foreground">
AI-Powered Video Generation Platform
</p>
<p className="mb-12 text-lg">
Create stunning videos with Text-to-Video and Image-to-Video using state-of-the-art
Wan2.1 models. 50+ prompt templates, real-time generation tracking, and installable PWA
experience.
</p>
<div className="flex flex-col gap-4 sm:flex-row sm:justify-center">
<Button asChild size="lg">
<Link href="/auth/signup">Get Started</Link>
</Button>
<Button asChild variant="outline" size="lg">
<Link href="/dashboard">View Dashboard</Link>
</Button>
</div>
<div className="mt-16 grid gap-8 sm:grid-cols-3">
<div className="rounded-lg border p-6">
<h3 className="mb-2 text-lg font-semibold">Text-to-Video</h3>
<p className="text-sm text-muted-foreground">
Generate videos from text prompts using advanced AI models
</p>
</div>
<div className="rounded-lg border p-6">
<h3 className="mb-2 text-lg font-semibold">Image-to-Video</h3>
<p className="text-sm text-muted-foreground">
Animate images into dynamic video sequences
</p>
</div>
<div className="rounded-lg border p-6">
<h3 className="mb-2 text-lg font-semibold">50+ Templates</h3>
<p className="text-sm text-muted-foreground">
Pre-built prompt templates for every creative need
</p>
</div>
</div>
</div>
</main>
)
}

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import * as React from "react"
import { Slot } from "@radix-ui/react-slot"
import { cva, type VariantProps } from "class-variance-authority"
import { cn } from "@/lib/utils"
const buttonVariants = cva(
"inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium ring-offset-background transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50",
{
variants: {
variant: {
default: "bg-primary text-primary-foreground hover:bg-primary/90",
destructive: "bg-destructive text-destructive-foreground hover:bg-destructive/90",
outline: "border border-input bg-background hover:bg-accent hover:text-accent-foreground",
secondary: "bg-secondary text-secondary-foreground hover:bg-secondary/80",
ghost: "hover:bg-accent hover:text-accent-foreground",
link: "text-primary underline-offset-4 hover:underline",
},
size: {
default: "h-10 px-4 py-2",
sm: "h-9 rounded-md px-3",
lg: "h-11 rounded-md px-8",
icon: "h-10 w-10",
},
},
defaultVariants: {
variant: "default",
size: "default",
},
}
)
export interface ButtonProps
extends React.ButtonHTMLAttributes<HTMLButtonElement>,
VariantProps<typeof buttonVariants> {
asChild?: boolean
}
const Button = React.forwardRef<HTMLButtonElement, ButtonProps>(
({ className, variant, size, asChild = false, ...props }, ref) => {
const Comp = asChild ? Slot : "button"
return <Comp className={cn(buttonVariants({ variant, size, className }))} ref={ref} {...props} />
}
)
Button.displayName = "Button"
export { Button, buttonVariants }

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import * as React from "react"
import { cn } from "@/lib/utils"
const Card = React.forwardRef<HTMLDivElement, React.HTMLAttributes<HTMLDivElement>>(
({ className, ...props }, ref) => (
<div
ref={ref}
className={cn("rounded-lg border bg-card text-card-foreground shadow-sm", className)}
{...props}
/>
)
)
Card.displayName = "Card"
const CardHeader = React.forwardRef<HTMLDivElement, React.HTMLAttributes<HTMLDivElement>>(
({ className, ...props }, ref) => (
<div ref={ref} className={cn("flex flex-col space-y-1.5 p-6", className)} {...props} />
)
)
CardHeader.displayName = "CardHeader"
const CardTitle = React.forwardRef<HTMLParagraphElement, React.HTMLAttributes<HTMLHeadingElement>>(
({ className, ...props }, ref) => (
<h3 ref={ref} className={cn("text-2xl font-semibold leading-none tracking-tight", className)} {...props} />
)
)
CardTitle.displayName = "CardTitle"
const CardDescription = React.forwardRef<HTMLParagraphElement, React.HTMLAttributes<HTMLParagraphElement>>(
({ className, ...props }, ref) => (
<p ref={ref} className={cn("text-sm text-muted-foreground", className)} {...props} />
)
)
CardDescription.displayName = "CardDescription"
const CardContent = React.forwardRef<HTMLDivElement, React.HTMLAttributes<HTMLDivElement>>(
({ className, ...props }, ref) => <div ref={ref} className={cn("p-6 pt-0", className)} {...props} />
)
CardContent.displayName = "CardContent"
const CardFooter = React.forwardRef<HTMLDivElement, React.HTMLAttributes<HTMLDivElement>>(
({ className, ...props }, ref) => (
<div ref={ref} className={cn("flex items-center p-6 pt-0", className)} {...props} />
)
)
CardFooter.displayName = "CardFooter"
export { Card, CardHeader, CardFooter, CardTitle, CardDescription, CardContent }

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import * as React from "react"
import { cn } from "@/lib/utils"
export interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {}
const Input = React.forwardRef<HTMLInputElement, InputProps>(
({ className, type, ...props }, ref) => {
return (
<input
type={type}
className={cn(
"flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50",
className
)}
ref={ref}
{...props}
/>
)
}
)
Input.displayName = "Input"
export { Input }

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export type PromptCategory =
| "cinematic"
| "animation"
| "realistic"
| "abstract"
| "nature"
| "people"
| "animals"
export interface PromptTemplate {
id: string
title: string
category: PromptCategory
prompt: string
negativePrompt?: string
tags: string[]
featured?: boolean
}
export const promptTemplates: PromptTemplate[] = [
// Cinematic
{
id: "cinematic-1",
title: "Epic Movie Scene",
category: "cinematic",
prompt:
"Cinematic wide shot of a lone hero standing on a cliff edge at sunset, dramatic lighting, volumetric fog, epic scale, film grain, shallow depth of field",
negativePrompt:
"blurry, low quality, static, overexposed, ugly, deformed, amateur, cartoon",
tags: ["cinematic", "hero", "sunset", "epic"],
featured: true,
},
{
id: "cinematic-2",
title: "Noir Detective",
category: "cinematic",
prompt:
"Film noir style detective walking through rain-soaked city streets at night, neon lights reflecting on wet pavement, high contrast lighting, moody atmosphere",
negativePrompt: "bright colors, daytime, cheerful, low quality",
tags: ["noir", "detective", "rain", "night"],
},
{
id: "cinematic-3",
title: "Space Opera",
category: "cinematic",
prompt:
"Epic space battle with massive starships, laser beams, explosions, nebula in background, cinematic camera movement, lens flares",
negativePrompt: "static, low quality, cartoon, unrealistic",
tags: ["space", "battle", "sci-fi", "epic"],
},
{
id: "cinematic-4",
title: "Medieval Battle",
category: "cinematic",
prompt:
"Epic medieval battle scene, knights charging on horseback, castle siege, dramatic sky, volumetric dust and smoke, cinematic composition",
tags: ["medieval", "battle", "knights", "epic"],
},
{
id: "cinematic-5",
title: "Dystopian City",
category: "cinematic",
prompt:
"Futuristic dystopian cityscape, towering megastructures, neon signs, flying vehicles, rain, cyberpunk aesthetic, cinematic drone shot",
tags: ["cyberpunk", "dystopia", "future", "city"],
featured: true,
},
// Animation
{
id: "animation-1",
title: "Pixar Style Character",
category: "animation",
prompt:
"Cute cartoon character in Pixar animation style, expressive eyes, dynamic pose, colorful environment, warm lighting, high quality 3D render",
negativePrompt: "realistic, photorealistic, ugly, deformed, low quality",
tags: ["pixar", "cute", "3d", "character"],
featured: true,
},
{
id: "animation-2",
title: "Studio Ghibli Landscape",
category: "animation",
prompt:
"Beautiful countryside landscape in Studio Ghibli animation style, rolling hills, traditional Japanese houses, cherry blossoms, peaceful atmosphere",
tags: ["ghibli", "landscape", "peaceful", "japan"],
},
{
id: "animation-3",
title: "Cartoon Animals",
category: "animation",
prompt:
"Adorable cartoon animals playing in a magical forest, vibrant colors, playful animation, Disney-style, whimsical atmosphere",
tags: ["animals", "cartoon", "forest", "playful"],
},
{
id: "animation-4",
title: "Anime Action",
category: "animation",
prompt:
"Dynamic anime-style action sequence, character with special powers, energy effects, speed lines, dramatic camera angles, vibrant colors",
tags: ["anime", "action", "powers", "dynamic"],
},
{
id: "animation-5",
title: "Claymation Scene",
category: "animation",
prompt:
"Charming claymation-style scene with textured characters, stop-motion aesthetic, warm lighting, cozy atmosphere, handcrafted feel",
tags: ["claymation", "stop-motion", "handcrafted", "cozy"],
},
// Realistic
{
id: "realistic-1",
title: "Nature Documentary",
category: "realistic",
prompt:
"National Geographic style wildlife footage, majestic lion on African savanna at golden hour, cinematic camera work, 4K quality, natural lighting",
negativePrompt: "cartoon, animated, low quality, static",
tags: ["wildlife", "nature", "documentary", "africa"],
featured: true,
},
{
id: "realistic-2",
title: "Urban Photography",
category: "realistic",
prompt:
"Photorealistic urban street scene, busy city intersection, people walking, cars moving, realistic lighting and shadows, documentary style",
tags: ["urban", "street", "documentary", "people"],
},
{
id: "realistic-3",
title: "Portrait Cinematic",
category: "realistic",
prompt:
"Cinematic portrait of a person, shallow depth of field, professional lighting, emotional expression, film grain, anamorphic lens look",
tags: ["portrait", "cinematic", "emotional", "professional"],
},
{
id: "realistic-4",
title: "Architectural Tour",
category: "realistic",
prompt:
"Architectural visualization, modern building exterior, smooth camera movement, golden hour lighting, photorealistic materials and textures",
tags: ["architecture", "building", "modern", "professional"],
},
{
id: "realistic-5",
title: "Underwater World",
category: "realistic",
prompt:
"Photorealistic underwater scene, colorful coral reef, tropical fish swimming, sunlight rays penetrating water, documentary quality",
tags: ["underwater", "ocean", "reef", "documentary"],
},
// Abstract
{
id: "abstract-1",
title: "Liquid Art",
category: "abstract",
prompt:
"Abstract liquid art, flowing colorful fluids, paint mixing, organic shapes, macro photography style, vibrant colors, smooth motion",
tags: ["abstract", "liquid", "colorful", "organic"],
},
{
id: "abstract-2",
title: "Geometric Motion",
category: "abstract",
prompt:
"Abstract geometric shapes morphing and rotating, neon colors, symmetrical patterns, mathematical precision, hypnotic motion",
tags: ["geometric", "abstract", "neon", "patterns"],
},
{
id: "abstract-3",
title: "Particle System",
category: "abstract",
prompt:
"Abstract particle system, millions of particles forming complex patterns, flowing and dissolving, ethereal atmosphere, dark background",
tags: ["particles", "abstract", "ethereal", "complex"],
},
{
id: "abstract-4",
title: "Fractal Zoom",
category: "abstract",
prompt:
"Infinite fractal zoom, mathematical patterns, psychedelic colors, recursive geometry, mesmerizing motion, high detail",
tags: ["fractal", "mathematical", "psychedelic", "infinite"],
},
{
id: "abstract-5",
title: "Digital Glitch",
category: "abstract",
prompt:
"Digital glitch art aesthetic, datamoshing effects, chromatic aberration, pixel sorting, cyberpunk colors, corrupted data visualization",
tags: ["glitch", "digital", "cyberpunk", "corrupted"],
},
// Nature
{
id: "nature-1",
title: "Mountain Landscape",
category: "nature",
prompt:
"Majestic mountain landscape with snow-capped peaks, alpine meadow with wildflowers, flowing stream, dramatic clouds, sunrise lighting",
tags: ["mountain", "landscape", "alpine", "sunrise"],
},
{
id: "nature-2",
title: "Ocean Waves",
category: "nature",
prompt:
"Powerful ocean waves crashing on rocky shore, sea spray, dramatic sky, slow motion, natural beauty, coastal scenery",
tags: ["ocean", "waves", "coastal", "dramatic"],
},
{
id: "nature-3",
title: "Forest Path",
category: "nature",
prompt:
"Peaceful forest path with sunlight filtering through trees, dappled light, morning mist, lush vegetation, serene atmosphere",
tags: ["forest", "path", "peaceful", "sunlight"],
},
{
id: "nature-4",
title: "Desert Sunset",
category: "nature",
prompt:
"Vast desert landscape at sunset, sand dunes, warm golden light, long shadows, clear sky transitioning to night, peaceful solitude",
tags: ["desert", "sunset", "dunes", "peaceful"],
},
{
id: "nature-5",
title: "Waterfall Paradise",
category: "nature",
prompt:
"Stunning tropical waterfall, crystal clear water, lush green vegetation, rainbow in mist, natural pool, paradise setting",
tags: ["waterfall", "tropical", "paradise", "rainbow"],
},
// People
{
id: "people-1",
title: "Dance Performance",
category: "people",
prompt:
"Professional dancer performing contemporary dance, fluid movements, dramatic lighting, stage performance, emotional expression, elegant choreography",
tags: ["dance", "performance", "elegant", "artistic"],
},
{
id: "people-2",
title: "Street Musician",
category: "people",
prompt:
"Street musician playing guitar on urban street corner, passersby, natural lighting, documentary style, authentic moment, city atmosphere",
tags: ["music", "street", "urban", "documentary"],
},
{
id: "people-3",
title: "Chef at Work",
category: "people",
prompt:
"Professional chef preparing gourmet dish, kitchen environment, precise movements, steam and sizzling, cinematic close-up shots, culinary artistry",
tags: ["chef", "cooking", "culinary", "professional"],
},
{
id: "people-4",
title: "Athlete Training",
category: "people",
prompt:
"Athlete training intensely, gym environment, dynamic movements, sweat details, determination, motivational atmosphere, dramatic lighting",
tags: ["athlete", "training", "fitness", "motivation"],
},
{
id: "people-5",
title: "Fashion Runway",
category: "people",
prompt:
"Fashion model walking down runway, haute couture clothing, professional lighting, confident stride, fashion show atmosphere, elegant presentation",
tags: ["fashion", "runway", "model", "elegant"],
},
// Animals
{
id: "animals-1",
title: "Bird in Flight",
category: "animals",
prompt:
"Majestic eagle soaring through mountain valley, wings spread, slow motion, natural habitat, cloudy sky, wildlife cinematography",
tags: ["bird", "eagle", "flight", "wildlife"],
},
{
id: "animals-2",
title: "Playful Dolphins",
category: "animals",
prompt:
"Pod of dolphins jumping and playing in ocean waves, underwater and above water shots, sunlight, joyful energy, marine life",
tags: ["dolphins", "ocean", "playful", "marine"],
},
{
id: "animals-3",
title: "Tiger Hunt",
category: "animals",
prompt:
"Bengal tiger stalking through jungle, intense focus, powerful movements, dappled sunlight through canopy, predator instincts, wildlife drama",
tags: ["tiger", "jungle", "predator", "wildlife"],
},
{
id: "animals-4",
title: "Butterfly Metamorphosis",
category: "animals",
prompt:
"Time-lapse of butterfly emerging from chrysalis, delicate wings unfurling, macro detail, natural beauty, transformation process",
tags: ["butterfly", "metamorphosis", "macro", "nature"],
},
{
id: "animals-5",
title: "Wolf Pack",
category: "animals",
prompt:
"Wolf pack moving through snowy forest, coordinated movement, winter landscape, misty breath, wild beauty, pack dynamics",
tags: ["wolf", "pack", "winter", "forest"],
},
// Additional templates to reach 50+
{
id: "cinematic-6",
title: "Car Chase",
category: "cinematic",
prompt:
"High-speed car chase through city streets, dynamic camera angles, motion blur, tire smoke, dramatic pursuit, action movie style",
tags: ["cars", "chase", "action", "speed"],
},
{
id: "animation-6",
title: "Magical Transformation",
category: "animation",
prompt:
"Magical girl transformation sequence, sparkles and light effects, anime style, dynamic poses, colorful energy, enchanting atmosphere",
tags: ["magic", "transformation", "anime", "sparkles"],
},
{
id: "realistic-6",
title: "Concert Performance",
category: "realistic",
prompt:
"Live concert performance, crowd energy, stage lights, musicians performing, photorealistic, dynamic camera work, electric atmosphere",
tags: ["concert", "music", "performance", "crowd"],
},
{
id: "abstract-7",
title: "Smoke Art",
category: "abstract",
prompt:
"Colorful smoke wisps and tendrils, black background, fluid motion, ethereal patterns, vibrant colors mixing, hypnotic movement",
tags: ["smoke", "abstract", "colorful", "ethereal"],
},
{
id: "nature-6",
title: "Northern Lights",
category: "nature",
prompt:
"Aurora borealis dancing across night sky, green and purple lights, snowy landscape below, stars visible, magical natural phenomenon",
tags: ["aurora", "northern lights", "night", "magical"],
},
]
export function getTemplatesByCategory(category: PromptCategory): PromptTemplate[] {
return promptTemplates.filter((t) => t.category === category)
}
export function getFeaturedTemplates(): PromptTemplate[] {
return promptTemplates.filter((t) => t.featured)
}
export function getTemplateById(id: string): PromptTemplate | undefined {
return promptTemplates.find((t) => t.id === id)
}
export function searchTemplates(query: string): PromptTemplate[] {
const lowerQuery = query.toLowerCase()
return promptTemplates.filter(
(t) =>
t.title.toLowerCase().includes(lowerQuery) ||
t.prompt.toLowerCase().includes(lowerQuery) ||
t.tags.some((tag) => tag.toLowerCase().includes(lowerQuery))
)
}

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import { createBrowserClient } from "@supabase/ssr"
export function createClient() {
return createBrowserClient(
process.env.NEXT_PUBLIC_SUPABASE_URL!,
process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!
)
}

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import { createServerClient, type CookieOptions } from "@supabase/ssr"
import { cookies } from "next/headers"
export async function createClient() {
const cookieStore = await cookies()
return createServerClient(
process.env.NEXT_PUBLIC_SUPABASE_URL!,
process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!,
{
cookies: {
get(name: string) {
return cookieStore.get(name)?.value
},
set(name: string, value: string, options: CookieOptions) {
try {
cookieStore.set({ name, value, ...options })
} catch (error) {
// Handle cookie setting errors in server components
}
},
remove(name: string, options: CookieOptions) {
try {
cookieStore.set({ name, value: "", ...options })
} catch (error) {
// Handle cookie removal errors in server components
}
},
},
}
)
}

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import { type ClassValue, clsx } from "clsx"
import { twMerge } from "tailwind-merge"
export function cn(...inputs: ClassValue[]) {
return twMerge(clsx(inputs))
}
export function formatDate(date: Date | string): string {
const d = typeof date === "string" ? new Date(date) : date
return new Intl.DateTimeFormat("en-US", {
month: "short",
day: "numeric",
year: "numeric",
}).format(d)
}
export function formatDuration(seconds: number): string {
const mins = Math.floor(seconds / 60)
const secs = seconds % 60
return `${mins}:${secs.toString().padStart(2, "0")}`
}
export function formatCredits(credits: number): string {
return new Intl.NumberFormat("en-US").format(credits)
}

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/** @type {import('tailwindcss').Config} */
module.exports = {
darkMode: ["class"],
content: [
"./src/pages/**/*.{js,ts,jsx,tsx,mdx}",
"./src/components/**/*.{js,ts,jsx,tsx,mdx}",
"./src/app/**/*.{js,ts,jsx,tsx,mdx}",
],
theme: {
extend: {
colors: {
border: "hsl(var(--border))",
input: "hsl(var(--input))",
ring: "hsl(var(--ring))",
background: "hsl(var(--background))",
foreground: "hsl(var(--foreground))",
primary: {
DEFAULT: "hsl(var(--primary))",
foreground: "hsl(var(--primary-foreground))",
},
secondary: {
DEFAULT: "hsl(var(--secondary))",
foreground: "hsl(var(--secondary-foreground))",
},
destructive: {
DEFAULT: "hsl(var(--destructive))",
foreground: "hsl(var(--destructive-foreground))",
},
muted: {
DEFAULT: "hsl(var(--muted))",
foreground: "hsl(var(--muted-foreground))",
},
accent: {
DEFAULT: "hsl(var(--accent))",
foreground: "hsl(var(--accent-foreground))",
},
popover: {
DEFAULT: "hsl(var(--popover))",
foreground: "hsl(var(--popover-foreground))",
},
card: {
DEFAULT: "hsl(var(--card))",
foreground: "hsl(var(--card-foreground))",
},
},
borderRadius: {
lg: "var(--radius)",
md: "calc(var(--radius) - 2px)",
sm: "calc(var(--radius) - 4px)",
},
},
},
plugins: [require("tailwindcss-animate")],
}

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{
"compilerOptions": {
"target": "ES2020",
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,
"strict": true,
"noEmit": true,
"esModuleInterop": true,
"module": "esnext",
"moduleResolution": "bundler",
"resolveJsonModule": true,
"isolatedModules": true,
"jsx": "preserve",
"incremental": true,
"plugins": [
{
"name": "next"
}
],
"paths": {
"@/*": ["./src/*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
"exclude": ["node_modules"]
}

32
wan-pwa/package.json Normal file
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{
"name": "wan-pwa",
"version": "1.0.0",
"private": true,
"description": "Wan2.1 PWA - AI Video Generation Platform",
"workspaces": [
"apps/*",
"packages/*"
],
"scripts": {
"dev": "turbo run dev",
"build": "turbo run build",
"start": "turbo run start",
"lint": "turbo run lint",
"test": "turbo run test",
"clean": "turbo run clean && rm -rf node_modules",
"format": "prettier --write \"**/*.{ts,tsx,js,jsx,json,css,md}\"",
"db:migrate": "cd packages/db && npm run migrate",
"db:seed": "cd packages/db && npm run seed"
},
"devDependencies": {
"@turbo/gen": "^2.3.0",
"prettier": "^3.3.3",
"prettier-plugin-tailwindcss": "^0.6.8",
"turbo": "^2.3.0"
},
"engines": {
"node": ">=18.0.0",
"npm": ">=9.0.0"
},
"packageManager": "npm@10.2.3"
}

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# Database Package
This package contains database schema and migrations for the Wan2.1 PWA.
## Setup
1. Go to your Supabase dashboard
2. Navigate to SQL Editor
3. Create a new query
4. Copy the contents of `migrations/001_initial_schema.sql`
5. Run the query
## Schema
### Tables
#### users
- Stores user profile data
- Extends Supabase auth.users
- Tracks credits and subscription tier
#### generations
- Stores video generation requests and results
- Links to users and tracks status
- Stores prompts, settings, and output URLs
#### credit_transactions
- Tracks all credit additions and deductions
- Provides audit trail for user credits
### Storage
#### images bucket
- Stores uploaded images for Image-to-Video generation
- Publicly accessible
- Organized by user ID
## Row Level Security (RLS)
All tables have RLS enabled to ensure users can only access their own data:
- Users can read/update their own profile
- Users can view/create their own generations
- Users can view their own transactions
## Migrations
Migrations should be run in order:
1. `001_initial_schema.sql` - Core schema
2. `002_seed_data.sql` - Optional seed data
## Indexes
Indexes are created on:
- `generations.user_id`
- `generations.created_at`
- `credit_transactions.user_id`
- `credit_transactions.created_at`
These optimize common queries for user data and history.

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-- Enable UUID extension
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
-- Users table (extends Supabase auth.users)
CREATE TABLE IF NOT EXISTS public.users (
id UUID PRIMARY KEY REFERENCES auth.users(id) ON DELETE CASCADE,
email TEXT NOT NULL UNIQUE,
credits INTEGER NOT NULL DEFAULT 100,
subscription_tier TEXT NOT NULL DEFAULT 'free',
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);
-- Enable RLS
ALTER TABLE public.users ENABLE ROW LEVEL SECURITY;
-- Users can only read their own data
CREATE POLICY "Users can view own data" ON public.users
FOR SELECT USING (auth.uid() = id);
-- Users can update their own data
CREATE POLICY "Users can update own data" ON public.users
FOR UPDATE USING (auth.uid() = id);
-- Generations table
CREATE TABLE IF NOT EXISTS public.generations (
id TEXT PRIMARY KEY,
user_id UUID NOT NULL REFERENCES public.users(id) ON DELETE CASCADE,
type TEXT NOT NULL CHECK (type IN ('text-to-video', 'image-to-video')),
prompt TEXT NOT NULL,
negative_prompt TEXT,
image_url TEXT,
model TEXT NOT NULL,
resolution TEXT NOT NULL,
status TEXT NOT NULL DEFAULT 'pending' CHECK (status IN ('pending', 'processing', 'completed', 'failed')),
video_url TEXT,
error TEXT,
credits_used INTEGER NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
completed_at TIMESTAMP WITH TIME ZONE
);
-- Enable RLS
ALTER TABLE public.generations ENABLE ROW LEVEL SECURITY;
-- Users can only view their own generations
CREATE POLICY "Users can view own generations" ON public.generations
FOR SELECT USING (auth.uid() = user_id);
-- Users can insert their own generations
CREATE POLICY "Users can create own generations" ON public.generations
FOR INSERT WITH CHECK (auth.uid() = user_id);
-- Credit transactions table
CREATE TABLE IF NOT EXISTS public.credit_transactions (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
user_id UUID NOT NULL REFERENCES public.users(id) ON DELETE CASCADE,
amount INTEGER NOT NULL,
type TEXT NOT NULL CHECK (type IN ('addition', 'deduction', 'refund')),
description TEXT,
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);
-- Enable RLS
ALTER TABLE public.credit_transactions ENABLE ROW LEVEL SECURITY;
-- Users can only view their own transactions
CREATE POLICY "Users can view own transactions" ON public.credit_transactions
FOR SELECT USING (auth.uid() = user_id);
-- Create indexes for better performance
CREATE INDEX IF NOT EXISTS idx_generations_user_id ON public.generations(user_id);
CREATE INDEX IF NOT EXISTS idx_generations_created_at ON public.generations(created_at DESC);
CREATE INDEX IF NOT EXISTS idx_credit_transactions_user_id ON public.credit_transactions(user_id);
CREATE INDEX IF NOT EXISTS idx_credit_transactions_created_at ON public.credit_transactions(created_at DESC);
-- Function to update updated_at timestamp
CREATE OR REPLACE FUNCTION update_updated_at_column()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = NOW();
RETURN NEW;
END;
$$ language 'plpgsql';
-- Trigger to auto-update updated_at
CREATE TRIGGER update_users_updated_at BEFORE UPDATE ON public.users
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
-- Function to create user profile on signup
CREATE OR REPLACE FUNCTION public.handle_new_user()
RETURNS TRIGGER AS $$
BEGIN
INSERT INTO public.users (id, email, credits, subscription_tier)
VALUES (NEW.id, NEW.email, 100, 'free')
ON CONFLICT (id) DO NOTHING;
RETURN NEW;
END;
$$ LANGUAGE plpgsql SECURITY DEFINER;
-- Trigger to create user profile on auth signup
CREATE TRIGGER on_auth_user_created
AFTER INSERT ON auth.users
FOR EACH ROW EXECUTE FUNCTION public.handle_new_user();
-- Storage bucket for uploaded images (for I2V)
INSERT INTO storage.buckets (id, name, public)
VALUES ('images', 'images', true)
ON CONFLICT (id) DO NOTHING;
-- Storage policy for images
CREATE POLICY "Users can upload own images" ON storage.objects
FOR INSERT WITH CHECK (
bucket_id = 'images' AND
auth.uid()::text = (storage.foldername(name))[1]
);
CREATE POLICY "Images are publicly accessible" ON storage.objects
FOR SELECT USING (bucket_id = 'images');

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-- Seed data for testing (optional)
-- This is example seed data
-- In production, users will sign up and get credits automatically
-- Example: Add bonus credits to specific users
-- UPDATE public.users SET credits = credits + 500 WHERE email = 'test@example.com';
-- You can also add example generations for testing
-- (This would typically be done through the API)

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{
"name": "@wan-pwa/db",
"version": "1.0.0",
"private": true,
"description": "Database schema and migrations",
"scripts": {
"migrate": "echo 'Run migrations in Supabase dashboard'",
"seed": "echo 'Run seed data in Supabase dashboard'"
}
}

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wan-pwa/turbo.json Normal file
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{
"$schema": "https://turbo.build/schema.json",
"globalDependencies": ["**/.env.*local"],
"pipeline": {
"build": {
"dependsOn": ["^build"],
"outputs": [".next/**", "!.next/cache/**", "dist/**"]
},
"dev": {
"cache": false,
"persistent": true
},
"lint": {
"dependsOn": ["^lint"]
},
"test": {
"dependsOn": ["^test"]
},
"clean": {
"cache": false
}
}
}