diff --git a/OnnxStack.StableDiffusion/Diffusers/LatentConsistency/LatentConsistencyDiffuser.cs b/OnnxStack.StableDiffusion/Diffusers/LatentConsistency/LatentConsistencyDiffuser.cs
index b365d5ce..1d1a5819 100644
--- a/OnnxStack.StableDiffusion/Diffusers/LatentConsistency/LatentConsistencyDiffuser.cs
+++ b/OnnxStack.StableDiffusion/Diffusers/LatentConsistency/LatentConsistencyDiffuser.cs
@@ -108,9 +108,6 @@ protected override async Task<DenseTensor<float>> SchedulerStepAsync(StableDiffu
                 // Get Model metadata
                 var metadata = _onnxModelService.GetModelMetadata(modelOptions, OnnxModelType.Unet);
 
-                // Some LCM variants require no guidance embeds 
-                var guidanceEmbeddingsRequired = metadata.Inputs.Count == 4;
-
                 // Loop though the timesteps
                 var step = 0;
                 foreach (var timestep in timesteps)
@@ -130,8 +127,7 @@ protected override async Task<DenseTensor<float>> SchedulerStepAsync(StableDiffu
                         inferenceParameters.AddInputTensor(inputTensor);
                         inferenceParameters.AddInputTensor(timestepTensor);
                         inferenceParameters.AddInputTensor(promptEmbeddings.PromptEmbeds);
-                        if(guidanceEmbeddingsRequired)
-                            inferenceParameters.AddInputTensor(guidanceEmbeddings);
+                        inferenceParameters.AddInputTensor(guidanceEmbeddings);
                         inferenceParameters.AddOutputBuffer(outputDimension);
 
                         var results = await _onnxModelService.RunInferenceAsync(modelOptions, OnnxModelType.Unet, inferenceParameters);