diff --git a/pymc_marketing/mmm/components/base.py b/pymc_marketing/mmm/components/base.py
index 0ed73876..b03cfbae 100644
--- a/pymc_marketing/mmm/components/base.py
+++ b/pymc_marketing/mmm/components/base.py
@@ -21,19 +21,23 @@
 """
 
 import warnings
+from collections.abc import Iterable
 from copy import deepcopy
 from inspect import signature
 from typing import Any
 
-import matplotlib.pyplot as plt
 import numpy as np
 import numpy.typing as npt
 import pymc as pm
 import xarray as xr
+from matplotlib.axes import Axes
+from matplotlib.figure import Figure
 from pymc.distributions.shape_utils import Dims
 from pytensor import tensor as pt
+from pytensor.tensor.variable import TensorVariable
 
 from pymc_marketing.mmm.plot import (
+    SelToString,
     plot_curve,
     plot_hdi,
     plot_samples,
@@ -299,12 +303,10 @@ def variable_mapping(self) -> dict[str, str]:
 
     def _create_distributions(
         self, dims: Dims | None = None
-    ) -> dict[str, pt.TensorVariable]:
+    ) -> dict[str, TensorVariable]:
         dim_handler: DimHandler = create_dim_handler(dims)
 
-        def create_variable(
-            parameter_name: str, variable_name: str
-        ) -> pt.TensorVariable:
+        def create_variable(parameter_name: str, variable_name: str) -> TensorVariable:
             dist = self.function_priors[parameter_name]
             var = dist.create_variable(variable_name)
             return dim_handler(var, dist.dims)
@@ -344,7 +346,12 @@ def plot_curve(
         subplot_kwargs: dict | None = None,
         sample_kwargs: dict | None = None,
         hdi_kwargs: dict | None = None,
-    ) -> tuple[plt.Figure, npt.NDArray[plt.Axes]]:
+        axes: npt.NDArray[Axes] | None = None,
+        same_axes: bool = False,
+        colors: Iterable[str] | None = None,
+        legend: bool | None = None,
+        sel_to_string: SelToString | None = None,
+    ) -> tuple[Figure, npt.NDArray[Axes]]:
         """Plot curve HDI and samples.
 
         Parameters
@@ -357,6 +364,16 @@ def plot_curve(
             Keyword arguments for the plot_curve_sample function. Defaults to None.
         hdi_kwargs : dict, optional
             Keyword arguments for the plot_curve_hdi function. Defaults to None.
+        axes : npt.NDArray[plt.Axes], optional
+            The exact axes to plot on. Overrides any subplot_kwargs
+        same_axes : bool, optional
+            If the axes should be the same for all plots. Defaults to False.
+        colors : Iterable[str], optional
+            The colors to use for the plot. Defaults to None.
+        legend : bool, optional
+            If the legend should be shown. Defaults to None.
+        sel_to_string : SelToString, optional
+            The function to convert the selection to a string. Defaults to None.
 
         Returns
         -------
@@ -369,6 +386,11 @@ def plot_curve(
             subplot_kwargs=subplot_kwargs,
             sample_kwargs=sample_kwargs,
             hdi_kwargs=hdi_kwargs,
+            axes=axes,
+            same_axes=same_axes,
+            colors=colors,
+            legend=legend,
+            sel_to_string=sel_to_string,
         )
 
     def _sample_curve(
@@ -424,8 +446,8 @@ def plot_curve_samples(
         rng: np.random.Generator | None = None,
         plot_kwargs: dict | None = None,
         subplot_kwargs: dict | None = None,
-        axes: npt.NDArray[plt.Axes] | None = None,
-    ) -> tuple[plt.Figure, npt.NDArray[plt.Axes]]:
+        axes: npt.NDArray[Axes] | None = None,
+    ) -> tuple[Figure, npt.NDArray[Axes]]:
         """Plot samples from the curve.
 
         Parameters
@@ -466,8 +488,8 @@ def plot_curve_hdi(
         hdi_kwargs: dict | None = None,
         plot_kwargs: dict | None = None,
         subplot_kwargs: dict | None = None,
-        axes: npt.NDArray[plt.Axes] | None = None,
-    ) -> tuple[plt.Figure, npt.NDArray[plt.Axes]]:
+        axes: npt.NDArray[Axes] | None = None,
+    ) -> tuple[Figure, npt.NDArray[Axes]]:
         """Plot the HDI of the curve.
 
         Parameters
@@ -494,9 +516,10 @@ def plot_curve_hdi(
             axes=axes,
             subplot_kwargs=subplot_kwargs,
             plot_kwargs=plot_kwargs,
+            hdi_kwargs=hdi_kwargs,
         )
 
-    def apply(self, x: pt.TensorLike, dims: Dims | None = None) -> pt.TensorVariable:
+    def apply(self, x: pt.TensorLike, dims: Dims | None = None) -> TensorVariable:
         """Call within a model context.
 
         Used internally of the MMM to apply the transformation to the data.