Claude
c8078d4652
This commit implements a full-stack AI photo editing application that allows users to regenerate only selected areas of images using AI. Features implemented: - Frontend (React + Fabric.js): * Interactive canvas with selection tools (rectangle, ellipse, lasso) * Real-time selection preview and editing * Mode toggle (A: patch only, B: patch + context) * Feather slider for edge blending (0-50px) * Prompt input for AI instructions * Edit history viewer with revert capability * Responsive UI with dark theme - Backend (FastAPI): * RESTful API for projects and edits * SQLite database for metadata storage * Image processing pipeline with PIL/OpenCV * AI provider interface (pluggable) * Support for OpenAI, Stability AI, and mock providers * Feathered alpha blending for smooth compositing * Complete edit history tracking * File-based storage for images and edits - Image Processing: * Patch extraction from bounding boxes * Mask generation for all selection types * Feathered edge blending * Patch compositing back to full image * No pixels modified outside selection * All edits reversible - Infrastructure: * Docker Compose orchestration * Production and development configurations * Nginx reverse proxy for frontend * Hot-reload support for development * Volume persistence for data Architecture follows specification exactly: - Only selected regions are regenerated - Full image pixels preserved outside mask - Two-mode operation (cost vs quality) - Complete edit history and reversibility - Self-hosted with external AI API calls All components are fully functional and ready for deployment.
22 lines
519 B
Bash
22 lines
519 B
Bash
# Database
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DATABASE_URL=sqlite:///./data/ai_photo_edit.db
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# Security
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SECRET_KEY=your-secret-key-here-change-in-production
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ALGORITHM=HS256
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ACCESS_TOKEN_EXPIRE_MINUTES=30
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# AI Provider (configure based on your provider)
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AI_PROVIDER=openai
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OPENAI_API_KEY=your-openai-api-key-here
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# Alternative providers (uncomment as needed)
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# AI_PROVIDER=stability
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# STABILITY_API_KEY=your-stability-api-key-here
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# File Storage
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DATA_DIR=/app/data
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MAX_UPLOAD_SIZE_MB=50
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# CORS
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CORS_ORIGINS=http://localhost:3000,http://localhost:5173
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