Integrate CCO colorization models (eccv16 and siggraph17) - Add CCO colorizers module from kinsung/cco - Update /colorize endpoint to support model selection parameter - Add scikit-image dependency - Maintain backward compatibility with existing GAN model - Update MongoDB logging to track model type used

Update default fallback category ID to 69368fcd2e46bd68ae1889b2

Set admin database name to adminPanel for media_clicks collection

Add MongoDB media click logging with per-user category counts

Add MongoDB integration for API call logging with timestamps

Add Firebase email/password authentication endpoints - Add /auth/register endpoint for user registration - Add /auth/login endpoint with Firebase REST API integration - Add /auth/me endpoint to get current user info - Add /auth/refresh endpoint for token refresh - Integrate with existing Firebase App Check - Add httpx and email-validator dependencies

Refactor to use Hugging Face Inference API with fal-ai provider - Replace local model loading with InferenceClient API - Remove heavy SDXL/ControlNet/BLIP model dependencies - Use FLUX.1-Kontext-dev model via API - Keep FastAPI and Firebase authentication - Significantly reduce memory usage (no local models)

Add guide for finding FastAI-compatible colorization models - Document how to find models with .pkl files - Add instructions for setting MODEL_ID - Note current model limitation

Switch to FastAI GAN colorization model (Hammad712/GAN-Colorization-Model)

Restore local ControlNet colorization pipeline

Switch colorization to HF Inference API

Align pipeline with text-guided colorization Space

fix: write data under /data and move Firebase creds path to /data; mount static from resolved dirs

feat(auth): accept Firebase Auth id_token (Authorization Bearer) in addition to App Check; add Postman collection and test script; default MODEL_ID to ControlNet color

Initial commit: Colorize API with Firebase App Check integration