diff --git a/.github/workflows/stable-release.yml b/.github/workflows/stable-release.yml
index 0bdd5a3bd..4a5ba58f6 100644
--- a/.github/workflows/stable-release.yml
+++ b/.github/workflows/stable-release.yml
@@ -22,7 +22,7 @@ on:
         description: 'Python patch version'
         required: true
         type: string
-        default: "7"
+        default: "8"
 
 
 jobs:
diff --git a/.github/workflows/windows_release_dependencies.yml b/.github/workflows/windows_release_dependencies.yml
index 85e6a52fd..6c7937ae2 100644
--- a/.github/workflows/windows_release_dependencies.yml
+++ b/.github/workflows/windows_release_dependencies.yml
@@ -29,7 +29,7 @@ on:
         description: 'python patch version'
         required: true
         type: string
-        default: "7"
+        default: "8"
 #  push:
 #    branches:
 #      - master
diff --git a/.github/workflows/windows_release_package.yml b/.github/workflows/windows_release_package.yml
index 11e724ba7..24f928ee0 100644
--- a/.github/workflows/windows_release_package.yml
+++ b/.github/workflows/windows_release_package.yml
@@ -19,7 +19,7 @@ on:
         description: 'python patch version'
         required: true
         type: string
-        default: "7"
+        default: "8"
 #  push:
 #    branches:
 #      - master
diff --git a/comfy/sd1_clip.py b/comfy/sd1_clip.py
index 95d41c30f..85518afd9 100644
--- a/comfy/sd1_clip.py
+++ b/comfy/sd1_clip.py
@@ -388,13 +388,10 @@ def load_embed(embedding_name, embedding_directory, embedding_size, embed_key=No
             import safetensors.torch
             embed = safetensors.torch.load_file(embed_path, device="cpu")
         else:
-            if 'weights_only' in torch.load.__code__.co_varnames:
-                try:
-                    embed = torch.load(embed_path, weights_only=True, map_location="cpu")
-                except:
-                    embed_out = safe_load_embed_zip(embed_path)
-            else:
-                embed = torch.load(embed_path, map_location="cpu")
+            try:
+                embed = torch.load(embed_path, weights_only=True, map_location="cpu")
+            except:
+                embed_out = safe_load_embed_zip(embed_path)
     except Exception:
         logging.warning("{}\n\nerror loading embedding, skipping loading: {}".format(traceback.format_exc(), embedding_name))
         return None