diff --git a/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_modular.py b/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_modular.py
index 0b36633efc..c67ec2f4de 100644
--- a/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_modular.py
+++ b/src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_modular.py
@@ -3646,7 +3646,6 @@ SDXL_INPUTS_SCHEMA = {
     "aesthetic_score": InputParam("aesthetic_score", type_hint=float, default=6.0, description="Simulates aesthetic score of generated image"),
     "negative_aesthetic_score": InputParam("negative_aesthetic_score", type_hint=float, default=2.0, description="Simulates negative aesthetic score"),
     "eta": InputParam("eta", type_hint=float, default=0.0, description="Parameter η in the DDIM paper"),
-    "guider_kwargs": InputParam("guider_kwargs", type_hint=Optional[Dict[str, Any]], description="Kwargs dictionary passed to the Guider"),
     "output_type": InputParam("output_type", type_hint=str, default="pil", description="Output format (pil/tensor/np.array)"),
     "return_dict": InputParam("return_dict", type_hint=bool, default=True, description="Whether to return a StableDiffusionXLPipelineOutput"),
     "ip_adapter_image": InputParam("ip_adapter_image", type_hint=PipelineImageInput, required=True, description="Image(s) to be used as IP adapter"),