diff --git a/src/refiners/foundationals/latent_diffusion/solvers/dpm.py b/src/refiners/foundationals/latent_diffusion/solvers/dpm.py
index 2ec2de4..b2296dc 100644
--- a/src/refiners/foundationals/latent_diffusion/solvers/dpm.py
+++ b/src/refiners/foundationals/latent_diffusion/solvers/dpm.py
@@ -191,6 +191,16 @@ class DPMSolver(Solver):
         noised_x = cumulative_scale_factors * x + noise_stds * noise
         return noised_x
 
+    def remove_noise(self, x: torch.Tensor, noise: torch.Tensor, step: int) -> torch.Tensor:
+        """Remove noise from the input tensor using the current step of the diffusion process.
+
+        See [`Solver.remove_noise`][refiners.foundationals.latent_diffusion.solvers.solver.Solver.remove_noise] for more details.
+        """
+        cumulative_scale_factors = self.cumulative_scale_factors[step]
+        noise_stds = self.noise_std[step]
+        denoised_x = (x - noise_stds * noise) / cumulative_scale_factors
+        return denoised_x
+
     def _solver_tensors_from_sigmas(self, sigmas: torch.Tensor) -> SolverTensors:
         """Generate the tensors from the sigmas."""
         cumulative_scale_factors = 1 / torch.sqrt(sigmas**2 + 1)