first commit

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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

Update app/main.py

Update app/main.py

Clean up ResNetGenerator architecture - simplified structure

Fix: Try ResNet first, improve size validation, and skip configs with too many mismatches

Improve weight loading verification and skip configs with too many missing keys

Fix colorization: Add ResNet generator architecture and fix minimum image size to prevent kernel errors

Improve PyTorch colorizer: Better preprocessing, output handling, and debugging

Fix image colorization: Add PyTorch GAN colorizer fallback, update Dockerfile to use main_fastai, and add missing dependencies

Update app/main.py

Update app/main.py

Update requirements.txt

Update app/main.py

Update app/main.py

Update requirements.txt

Update app/main.py

Update requirements.txt

Update requirements.txt

Update app/main.py

Update app/main.py

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

Fix Gradio permission error by setting GRADIO_TEMP_DIR to /tmp

Add fallback logic to handle PyTorch models and find actual model files - Add manual download fallback when from_pretrained_fastai fails - List repository files to find .pkl or .pt files - Provide clear error message for PyTorch models

Fix python-multipart version conflict with Gradio - Update python-multipart from 0.0.6 to >=0.0.18 to match Gradio requirements

Fix Gradio/FastAPI compatibility - Upgrade FastAPI to >=0.115.0 - Upgrade Gradio to >=4.44.0 to fix AttributeError