lets hope its this simple

torchvulkan_loader.py

@@ -0,0 +1,33 @@
+from .common import *
+
+class TorchVulkanLoader:
+	def __init__(self):
+		pass
+	
+	@classmethod
+	def INPUT_TYPES(self):
+		devices = [i for i in range(torchvulkan.device_count())]
+		return {
+			"required": {
+				"device": (devices, {"default": "default ( local-task:// )"})
+			},
+			"optional": {
+				"model": ("MODEL",),
+				"clip": ("CLIP",),
+				"vae": ("VAE",)
+			}
+		}
+	
+	RETURN_TYPES = ("MODEL", "CLIP", "VAE")
+	
+	FUNCTION = "load_to_torchvulkan"
+	
+	CATEGORY = "Backends"
+	
+	def load_to_torchvulkan(self, device, model = None, clip = None, vae = None):
+		device = torch.device(f"vulkan:{device}")
+		if model: model.to(device)
+		if clip: clip.to(device)
+		if vae: vae.to(device)
+		return model, clip, vae
+