diff --git a/tests/modular_pipelines/test_modular_pipeline_utils.py b/tests/modular_pipelines/test_modular_pipeline_utils.py
deleted file mode 100644
index ff5d5dfa5f..0000000000
--- a/tests/modular_pipelines/test_modular_pipeline_utils.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# Copyright 2026 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from diffusers.modular_pipelines.modular_pipeline_utils import InputParam
-from diffusers.utils import logging
-
-from ..testing_utils import CaptureLogger
-
-
-class TestInputParamRequiredDefault:
-    def test_required_drops_default_with_warning(self):
-        logger = logging.get_logger("diffusers.modular_pipelines.modular_pipeline_utils")
-        logger.setLevel(logging.WARNING)
-        with CaptureLogger(logger) as cap_logger:
-            param = InputParam("num_inference_steps", required=True, default=50)
-
-        assert param.required
-        assert param.default is None
-        assert "'num_inference_steps' is required and declares a default (50)" in cap_logger.out
-
-    def test_required_template_drops_template_default(self):
-        param = InputParam.template("num_inference_steps", required=True)
-        assert param.required
-        assert param.default is None
-
-    def test_optional_template_keeps_default(self):
-        param = InputParam.template("num_inference_steps")
-        assert not param.required
-        assert param.default == 50
-
-    def test_required_with_explicit_none_default_is_silent(self):
-        logger = logging.get_logger("diffusers.modular_pipelines.modular_pipeline_utils")
-        logger.setLevel(logging.WARNING)
-        with CaptureLogger(logger) as cap_logger:
-            param = InputParam.template("dtype", required=True, default=None)
-
-        assert param.required
-        assert param.default is None
-        assert cap_logger.out == ""