From 4cd02eda09c6b5d86d66677348e300e7af37a1a9 Mon Sep 17 00:00:00 2001
From: John Pollock <pollockjj@gmail.com>
Date: Wed, 11 Mar 2026 14:18:22 -0500
Subject: [PATCH] fix(wanvideo): patch vram management wrapper for meta->device
 moves

---
 wanvideo.py | 36 ++++++++++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)

diff --git a/wanvideo.py b/wanvideo.py
index 8f4f327..39491f3 100644
--- a/wanvideo.py
+++ b/wanvideo.py
@@ -2,6 +2,7 @@ import logging
 import torch
 import inspect
 import copy
+import importlib
 import folder_paths
 import comfy.model_management as mm
 from nodes import NODE_CLASS_MAPPINGS
@@ -27,6 +28,38 @@ scheduler_list = [
 
 rope_functions = ["default", "comfy", "comfy_chunked"]
 
+
+def _module_has_meta_tensors(module: torch.nn.Module) -> bool:
+    return any(p.is_meta for p in module.parameters()) or any(b.is_meta for b in module.buffers())
+
+
+def _patch_wanvideo_vram_management_meta_safe(loader_module):
+    layers_module = importlib.import_module(".diffsynth.vram_management.layers", package=loader_module.__package__)
+
+    if getattr(layers_module, "_multigpu_meta_safe_patch_applied", False):
+        return
+
+    def _auto_wrapped_module_init(self, module: torch.nn.Module, offload_dtype, offload_device, onload_dtype, onload_device, computation_dtype, computation_device):
+        torch.nn.Module.__init__(self)
+
+        if _module_has_meta_tensors(module):
+            module = module.to_empty(device=offload_device)
+            module = module.to(dtype=offload_dtype)
+        else:
+            module = module.to(dtype=offload_dtype, device=offload_device)
+
+        self.module = module
+        self.offload_dtype = offload_dtype
+        self.offload_device = offload_device
+        self.onload_dtype = onload_dtype
+        self.onload_device = onload_device
+        self.computation_dtype = computation_dtype
+        self.computation_device = computation_device
+        self.state = 0
+
+    layers_module.AutoWrappedModule.__init__ = _auto_wrapped_module_init
+    layers_module._multigpu_meta_safe_patch_applied = True
+
 class WanVideoModelLoader:
     @classmethod
     def INPUT_TYPES(s):
@@ -80,6 +113,9 @@ class WanVideoModelLoader:
         if kwargs.get("extra_model") is None and vace_model is not None:
             kwargs["extra_model"] = vace_model
 
+        if kwargs.get("vram_management_args") is not None:
+            _patch_wanvideo_vram_management_meta_safe(loader_module)
+
         set_current_device(compute_device)
         compute_device_to_be_patched = mm.get_torch_device()