diff --git a/tests/modular_pipelines/stable_diffusion_xl/test_modular_pipeline_stable_diffusion_xl.py b/tests/modular_pipelines/stable_diffusion_xl/test_modular_pipeline_stable_diffusion_xl.py
index 4127d00c8e..044cdd57da 100644
--- a/tests/modular_pipelines/stable_diffusion_xl/test_modular_pipeline_stable_diffusion_xl.py
+++ b/tests/modular_pipelines/stable_diffusion_xl/test_modular_pipeline_stable_diffusion_xl.py
@@ -117,13 +117,9 @@ class SDXLModularIPAdapterTests:
 
         _ = blocks.sub_blocks.pop("ip_adapter")
         parameters = blocks.input_names
-        intermediate_parameters = blocks.intermediate_input_names
         assert "ip_adapter_image" not in parameters, (
             "`ip_adapter_image` argument must be removed from the `__call__` method"
         )
-        assert "ip_adapter_image_embeds" not in intermediate_parameters, (
-            "`ip_adapter_image_embeds` argument must be supported by the `__call__` method"
-        )
 
     def _get_dummy_image_embeds(self, cross_attention_dim: int = 32):
         return torch.randn((1, 1, cross_attention_dim), device=torch_device)
diff --git a/tests/modular_pipelines/test_modular_pipelines_common.py b/tests/modular_pipelines/test_modular_pipelines_common.py
index 6240797742..36595b02a2 100644
--- a/tests/modular_pipelines/test_modular_pipelines_common.py
+++ b/tests/modular_pipelines/test_modular_pipelines_common.py
@@ -139,7 +139,6 @@ class ModularPipelineTesterMixin:
     def test_pipeline_call_signature(self):
         pipe = self.get_pipeline()
         input_parameters = pipe.blocks.input_names
-        intermediate_parameters = pipe.blocks.intermediate_input_names
         optional_parameters = pipe.default_call_parameters
 
         def _check_for_parameters(parameters, expected_parameters, param_type):
@@ -149,7 +148,6 @@ class ModularPipelineTesterMixin:
             )
 
         _check_for_parameters(self.params, input_parameters, "input")
-        _check_for_parameters(self.intermediate_params, intermediate_parameters, "intermediate")
         _check_for_parameters(self.optional_params, optional_parameters, "optional")
 
     def test_inference_batch_consistent(self, batch_sizes=[2], batch_generator=True):