Update block.py

block.py

@@ -76,7 +76,7 @@ class SDXLDiffDiffPrepareLatentsStep(PipelineBlock):
         ]
 
     @property
-    def intermediates_inputs(self) -> List[InputParam]:
+    def intermediate_inputs(self) -> List[InputParam]:
         return [
             InputParam("generator"),
             InputParam("timesteps",type_hint=torch.Tensor, description="The timesteps to use for sampling. Can be generated in set_timesteps step."), 
@@ -86,7 +86,7 @@ class SDXLDiffDiffPrepareLatentsStep(PipelineBlock):
         ]
 
     @property
-    def intermediates_outputs(self) -> List[OutputParam]:
+    def intermediate_outputs(self) -> List[OutputParam]:
         return [
             OutputParam("latents", type_hint=torch.Tensor, description="The initial latents to use for the denoising process"),
             OutputParam("original_latents", type_hint=torch.Tensor, description="The initial latents to use for the denoising process"),
@@ -150,7 +150,7 @@ class SDXLDiffDiffLoopBeforeDenoiser(PipelineBlock):
         ]
 
     @property
-    def intermediates_inputs(self) -> List[str]:
+    def intermediate_inputs(self) -> List[str]:
         return [
             InputParam(
                 "latents",