From 971cefe7d4ca15c949d5d901a663cb66562a4f10 Mon Sep 17 00:00:00 2001
From: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com>
Date: Sat, 13 Dec 2025 15:45:23 -0800
Subject: [PATCH] Fix pytorch warnings. (#11314)

---
 comfy/ops.py   | 2 +-
 comfy/utils.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/comfy/ops.py b/comfy/ops.py
index 0384c8717..16889bb82 100644
--- a/comfy/ops.py
+++ b/comfy/ops.py
@@ -592,7 +592,7 @@ def mixed_precision_ops(quant_config={}, compute_dtype=torch.bfloat16, full_prec
                     quant_conf = {"format": self.quant_format}
                     if self._full_precision_mm:
                         quant_conf["full_precision_matrix_mult"] = True
-                    sd["{}comfy_quant".format(prefix)] = torch.frombuffer(json.dumps(quant_conf).encode('utf-8'), dtype=torch.uint8)
+                    sd["{}comfy_quant".format(prefix)] = torch.tensor(list(json.dumps(quant_conf).encode('utf-8')), dtype=torch.uint8)
                 return sd
 
             def _forward(self, input, weight, bias):
diff --git a/comfy/utils.py b/comfy/utils.py
index 9dc0d76ac..3866cda2e 100644
--- a/comfy/utils.py
+++ b/comfy/utils.py
@@ -1262,6 +1262,6 @@ def convert_old_quants(state_dict, model_prefix="", metadata={}):
     if quant_metadata is not None:
         layers = quant_metadata["layers"]
         for k, v in layers.items():
-            state_dict["{}.comfy_quant".format(k)] = torch.frombuffer(json.dumps(v).encode('utf-8'), dtype=torch.uint8)
+            state_dict["{}.comfy_quant".format(k)] = torch.tensor(list(json.dumps(v).encode('utf-8')), dtype=torch.uint8)
 
     return state_dict, metadata