diff --git a/comfy/multigpu.py b/comfy/multigpu.py
index 26edcee90..90995a5ab 100644
--- a/comfy/multigpu.py
+++ b/comfy/multigpu.py
@@ -99,13 +99,13 @@ def create_multigpu_deepclones(model: ModelPatcher, max_gpus: int, gpu_options:
         gpu_options.register(model)
     else:
         logging.info("No extra torch devices need initialization, skipping initializing MultiGPU Work Units.")
-    # only keep model clones that don't go 'past' the intended max_gpu count
-    multigpu_models = model.get_additional_models_with_key("multigpu")
-    new_multigpu_models = []
-    for m in multigpu_models:
-        if m.load_device in limit_extra_devices:
-            new_multigpu_models.append(m)
-    model.set_additional_models("multigpu", new_multigpu_models)
+    # TODO: only keep model clones that don't go 'past' the intended max_gpu count
+    # multigpu_models = model.get_additional_models_with_key("multigpu")
+    # new_multigpu_models = []
+    # for m in multigpu_models:
+    #     if m.load_device in limit_extra_devices:
+    #         new_multigpu_models.append(m)
+    # model.set_additional_models("multigpu", new_multigpu_models)
     # persist skip_devices for use in sampling code
     # if len(skip_devices) > 0 or "multigpu_skip_devices" in model.model_options:
     #     model.model_options["multigpu_skip_devices"] = skip_devices