Update app/main.py

Set fixed caption text for /colorize responses

Add CORS middleware to main.py for auth endpoints

Fix Firebase import handling in auth endpoints - Ensure firebase_admin is always defined - Fix Firebase initialization checks - Improve error messages

Add auth endpoints to main.py - Add /auth/register, /auth/login, /auth/me, /auth/refresh endpoints - Add Pydantic models for auth requests/responses - Add verify_request function for Firebase auth - Import httpx for Firebase REST API calls

Update health endpoint to match requested format with hf_inference_api and fal-ai

Update response formats for /colorize and /health endpoints - /colorize: Add filename, caption, change to PNG format, api_download_url - /health: Add model_type and provider fields

Make CCO model default for colorization - Change default model from GAN (dummy) to CCO (working) - Add fallback to GAN if CCO not available - Fix image format and saving issues

Make IPython import optional in colorizers to fix CCO model loading

Change Dockerfile to use main.py instead of main_sdxl.py for CCO model integration

Remove model_used field from response to maintain original response format

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 app/database.py

Update app/database.py

Update app/database.py

Add ai_edit_daily_count tracking to media_clicks collection

Change ai_edit_last_date to MongoDB Date object format - Store as Date object instead of string format

Add ai_edit_complete and ai_edit_last_date to media_clicks collection

Add success/failure logging to colorizations collection

Only log to media_clicks when user_id is provided

Update default fallback category ID to 69368fcd2e46bd68ae1889b2

Set admin database name to adminPanel for media_clicks collection

Fix empty string handling and support both subCategories and categories schemas

Add MongoDB media click logging with per-user category counts

first commit

Delete README_HF.md

Delete .history

Delete MONGODB_DATA_STRUCTURE.md

Delete SETUP.md

Delete FIREBASE_SETUP.md

Delete FASTAI_MODEL_GUIDE.md

Delete DEPLOYMENT.md

Delete CURL_EXAMPLES.md

Delete API_EXAMPLES.md

Delete API_DOCUMENTATION.md

Fix MongoDB database boolean check - use 'is None' instead of truthiness

Add MongoDB test scripts and documentation (no credentials exposed)

Fix Gradio compatibility: remove show_copy_button parameter

Add MongoDB verification to test.py

Add MongoDB integration for API call logging with timestamps

Update Firebase initialization to auto-detect credentials file and add setup guide

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

Add comprehensive cURL examples for API testing

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 memory optimizations for SDXL pipeline - Enable VAE slicing and tiling - Enable attention slicing for UNet and ControlNet - Use sequential CPU offloading for pipeline - Keep BLIP model on CPU to save GPU memory - Add torch.no_grad() and cache clearing - Reduce guidance scale for lower memory usage

Fix permission errors and environment variables for model loading - Use /tmp directory for writable model storage - Set OMP_NUM_THREADS and cache directories at startup - Add better error handling and permission checks

Add FastAPI version using SDXL + ControlNet for text-guided colorization (from fffiloni)

Improve health check and UI messaging for fallback mode

Improve fallback colorization with better color hints and saturation

Add simple colorization fallback using LAB color space when model fails to load