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d95b95e23402abf1c126f1b0f45e2b13b835d036
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5 Commits
Author SHA1 Message Date
Claude df4ddc2d8c Automate SAM download and fix database path issues 
- Fix database path mismatch: download_sample_eyes.py now uses
  ai_photo_edit.db instead of photoedit.db
- Add init_database.py script to initialize DB before eye import
- Add AUTO_DOWNLOAD_SAM=true environment variable (default: enabled)
- Update entrypoint.sh to:
  1. Initialize database first
  2. Auto-download SAM model (~375MB) on first startup
  3. Then import eyes (now works since DB exists)
- Update path detection to work in both Docker and local environments
 2026-01-25 20:28:57 +00:00
Claude 6238318f9b Add classic eye image assets and import scripts 
- Generate 18 classic eye variants in 3 styles (realistic, anime, cartoon)
  with 6 colors each (blue, green, brown, hazel, grey, amber)
- Add scripts for generating, converting, and importing eyes:
  - generate_classic_eyes_ppm.py: Generate PPM images (no dependencies)
  - download_classic_eyes.py: Full-featured generator with PIL
  - startup_import_eyes.py: Import eyes on backend startup
  - import_saved_eyes.py: Import from saved directory
- Update docker-compose to mount scripts directory
- Include metadata.json for tracking eye properties
 2026-01-25 02:41:37 +00:00
Claude cfbb9b691f Change backend port to 8101 and simplify Caddy config 
- Changed backend port from 8000 to 8101 (avoiding port conflict)
- Added REPLICATE_API_KEY to docker-compose environment variables
- Simplified Caddyfile - only need to reverse proxy frontend
- Frontend nginx internally handles routing API calls to backend
 2026-01-24 15:55:49 +00:00
Claude 122b4ce326 Update nginx config and add Caddy2 support 
- Fixed nginx.conf to proxy all API routes (/patches, /generate, /health, /docs)
- Changed frontend port to 3080 in docker-compose.yml
- Added Caddyfile for Caddy2 reverse proxy configuration
- Supports both FQDN and IP:port configurations
 2026-01-24 14:20:41 +00:00
Claude c8078d4652 Implement complete AI Photo Edit tool with mask-scoped regeneration 
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.
 2026-01-24 02:58:41 +00:00