Enhance image handling and EXIF metadata processing in RecipeRoutes and ExifUtils

- Implemented image optimization in RecipeRoutes, resizing and converting uploaded images to WebP format while preserving metadata.
- Updated ExifUtils to support EXIF data handling for WebP images, ensuring compatibility with various image formats.
- Added a new method for optimizing images, allowing for better performance and quality in image uploads.

py/utils/recipe_parsers.py

@@ -74,8 +74,6 @@ class RecipeFormatParser(RecipeMetadataParser):
             if not recipe_metadata:
                 return {"error": "No recipe metadata found", "loras": []}
                 
-            logger.info("Found existing recipe metadata in image")
-            
             # Process the recipe metadata
             loras = []
             for lora in recipe_metadata.get('loras', []):
@@ -96,7 +94,7 @@ class RecipeFormatParser(RecipeMetadataParser):
                     exists_locally = lora_scanner.has_lora_hash(lora['hash'])
                     if exists_locally:
                         lora_cache = await lora_scanner.get_cached_data()
-                        lora_item = next((item for item in lora_cache.raw_data if item['sha256'] == lora['hash']), None)
+                        lora_item = next((item for item in lora_cache.raw_data if item['sha256'].lower() == lora['hash'].lower()), None)
                         if lora_item:
                             lora_entry['existsLocally'] = True
                             lora_entry['localPath'] = lora_item['file_path']