make 'Vae Patched' the default mode for safer decoding

Updated the INPUT_TYPES definition to set "Vae Patched" as the default selection.

Why: The "Original" VAE mode often causes black images or NaN errors in mixed-precision workflows (like Flux, SD3, or FP16 contexts) on certain hardware.

Fix: By defaulting to "Vae Patched," the node now automatically handles precision casting (forcing Float32 when necessary) to ensure successful image decoding out of the box, while still allowing advanced users to switch back to "Original" if needed.

any_device_offload.py

@@ -5,7 +5,7 @@ import comfy.model_management
 import gc
 import sys
 
-# --- GLOBAL ATTENTION CONTROLLER (Preserves V17 Fixes) ---
+# --- GLOBAL ATTENTION CONTROLLER ---
 try:
     import xformers.ops
     if not hasattr(xformers.ops, "original_memory_efficient_attention"):
@@ -86,7 +86,8 @@ class AnyDeviceOffload:
         return {
             "required": {
                 "target_device": (device_list, ),
-                "vae_mode": (["Original", "Vae Patched"], ),
+                # Swapped order: Vae Patched is now the first item (Default)
+                "vae_mode": (["Vae Patched", "Original"], ),
                 "keep_in_memory": ("BOOLEAN", {"default": True}),
             },
             "optional": {
@@ -154,7 +155,7 @@ class AnyDeviceOffload:
                                     target_run_device = arg.device
                                     break
                             
-                            # [FIX] Scan keyword args if not found yet
+                            # Scan keyword args if not found yet
                             if target_run_device is None:
                                 for v in kwargs.values():
                                     if isinstance(v, torch.Tensor):