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.
36 lines
834 B
Python
36 lines
834 B
Python
from pydantic_settings import BaseSettings
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from typing import List
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class Settings(BaseSettings):
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# Database
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database_url: str = "sqlite:///./data/ai_photo_edit.db"
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# Security
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secret_key: str = "your-secret-key-change-in-production"
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algorithm: str = "HS256"
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access_token_expire_minutes: int = 30
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# AI Provider
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ai_provider: str = "openai"
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openai_api_key: str = ""
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stability_api_key: str = ""
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# File Storage
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data_dir: str = "./data"
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max_upload_size_mb: int = 50
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# CORS
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cors_origins: str = "http://localhost:3000,http://localhost:5173"
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@property
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def cors_origins_list(self) -> List[str]:
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return [origin.strip() for origin in self.cors_origins.split(",")]
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class Config:
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env_file = ".env"
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case_sensitive = False
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settings = Settings()
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