Fix lowvram issue with saving checkpoints.

The previous fix didn't cover the case where the model was loaded in
lowvram mode right before.

comfy/model_management.py

@@ -309,6 +309,11 @@ class LoadedModel:
         self.weights_loaded = True
         return self.real_model
 
+    def should_reload_model(self, force_patch_weights=False):
+        if force_patch_weights and self.model.lowvram_patch_counter > 0:
+            return True
+        return False
+
     def model_unload(self, unpatch_weights=True):
         self.model.unpatch_model(self.model.offload_device, unpatch_weights=unpatch_weights)
         self.model.model_patches_to(self.model.offload_device)
@@ -391,10 +396,22 @@ def load_models_gpu(models, memory_required=0, force_patch_weights=False):
     models_already_loaded = []
     for x in models:
         loaded_model = LoadedModel(x)
+        loaded = None
 
-        if loaded_model in current_loaded_models:
-            models_already_loaded.append(loaded_model)
-        else:
+        try:
+            loaded_model_index = current_loaded_models.index(loaded_model)
+        except:
+            loaded_model_index = None
+
+        if loaded_model_index is not None:
+            loaded = current_loaded_models[loaded_model_index]
+            if loaded.should_reload_model(force_patch_weights=force_patch_weights): #TODO: cleanup this model reload logic
+                current_loaded_models.pop(loaded_model_index).model_unload(unpatch_weights=True)
+                loaded = None
+            else:
+                models_already_loaded.append(loaded)
+
+        if loaded is None:
             if hasattr(x, "model"):
                 logging.info(f"Requested to load {x.model.__class__.__name__}")
             models_to_load.append(loaded_model)

comfy/model_patcher.py

@@ -58,6 +58,7 @@ class ModelPatcher:
 
         self.weight_inplace_update = weight_inplace_update
         self.model_lowvram = False
+        self.lowvram_patch_counter = 0
         self.patches_uuid = uuid.uuid4()
 
     def model_size(self):
@@ -284,6 +285,7 @@ class ModelPatcher:
                 return self.model_patcher.calculate_weight(self.model_patcher.patches[self.key], weight, self.key)
 
         mem_counter = 0
+        patch_counter = 0
         for n, m in self.model.named_modules():
             lowvram_weight = False
             if hasattr(m, "comfy_cast_weights"):
@@ -300,11 +302,13 @@ class ModelPatcher:
                         self.patch_weight_to_device(weight_key)
                     else:
                         m.weight_function = LowVramPatch(weight_key, self)
+                        patch_counter += 1
                 if bias_key in self.patches:
                     if force_patch_weights:
                         self.patch_weight_to_device(bias_key)
                     else:
                         m.bias_function = LowVramPatch(bias_key, self)
+                        patch_counter += 1
 
                 m.prev_comfy_cast_weights = m.comfy_cast_weights
                 m.comfy_cast_weights = True
@@ -317,6 +321,7 @@ class ModelPatcher:
                     logging.debug("lowvram: loaded module regularly {}".format(m))
 
         self.model_lowvram = True
+        self.lowvram_patch_counter = patch_counter
         return self.model
 
     def calculate_weight(self, patches, weight, key):
@@ -468,6 +473,7 @@ class ModelPatcher:
                     m.bias_function = None
 
                 self.model_lowvram = False
+                self.lowvram_patch_counter = 0
 
             keys = list(self.backup.keys())