Refactor: Use librosa instead of torchaudio, Add dedicated handlers for all use parameters and fix widget ordering

- Use librosa instead of torchaudio for mediaStorage
- Created dedicated toggle handlers for Image Inference, Video Inference, Upscaler, Audio Inference, Accelerator Options, Bytedance Provider Settings, and OpenAI Provider Settings
- Fixed Audio Inference widget ordering (use parameters now appear before their corresponding parameters)
- All handlers use the same proven pattern from videoInferenceDimensionsHandler
- Improved widget disabling/enabling functionality across all nodes

modules/imageInference.py

@@ -87,10 +87,10 @@ class txt2img:
                     "default": True,
                 }),
                 "seed": ("INT", {
-                    "tooltip": "A value used to randomize the image generation. If you want to make images reproducible (generate the same image multiple times), you can use the same seed value. Random seeds are generated as 32-bit values for platform compatibility.",
+                    "tooltip": "A value used to randomize the image generation. If you want to make images reproducible (generate the same image multiple times), you can use the same seed value. Set to 0 to auto-generate a random seed.",
                     "default": 1,
-                    "min": 1,
-                    "max": 9223372036854776000,
+                    "min": 0,
+                    "max": 4294967295,
                 }),
                 "useClipSkip": ("BOOLEAN", {
                     "tooltip": "Enable to include clipSkip parameter in API request. Disable if your model doesn't support clipSkip.",