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.
24 lines
1002 B
Python
24 lines
1002 B
Python
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey, Text
|
|
from sqlalchemy.orm import relationship
|
|
from datetime import datetime
|
|
from app.database import Base
|
|
|
|
|
|
class Edit(Base):
|
|
__tablename__ = "edits"
|
|
|
|
id = Column(Integer, primary_key=True, index=True)
|
|
project_id = Column(Integer, ForeignKey("projects.id"), nullable=False)
|
|
created_at = Column(DateTime, default=datetime.utcnow)
|
|
mode = Column(String, nullable=False) # "A" or "B"
|
|
prompt = Column(Text, nullable=False)
|
|
selection_type = Column(String, nullable=False) # "rectangle", "ellipse", "lasso"
|
|
bbox_json = Column(Text, nullable=False) # JSON string of {x, y, width, height}
|
|
feather_px = Column(Integer, default=0)
|
|
ai_provider = Column(String, nullable=False)
|
|
status = Column(String, nullable=False) # "pending", "processing", "completed", "failed"
|
|
error_message = Column(Text, nullable=True)
|
|
|
|
# Relationships
|
|
project = relationship("Project", back_populates="edits")
|