diff --git a/nerfstudio/models/gaussian_splatting.py b/nerfstudio/models/gaussian_splatting.py
index 7b0509ac6..d859dd9a9 100644
--- a/nerfstudio/models/gaussian_splatting.py
+++ b/nerfstudio/models/gaussian_splatting.py
@@ -74,6 +74,8 @@ class GaussianSplattingModelConfig(ModelConfig):
     one_up_sh_every: int = 1000
     lambda_ssim: float = 0.2
     use_diff_rast: bool = False # TODO (jake-austin): remove
+    gradient_threshold: float = 0.0002
+    min_opacity: float = 0.005
 
 class GaussianSplattingModel(Model):
     """Gaussian Splatting model
@@ -237,7 +239,8 @@ class GaussianSplattingModel(Model):
             if step >= self.config.prune_density_after and step < self.config.prune_density_until:
                 size_threshold = None#20 if iteration > opt.opacity_reset_interval else None
                 self.optimizer = training_callback_attributes.optimizers
-                self.densify_and_prune(0.0002, 0.005, 2.6, None)
+                extent = torch.abs(self.render_aabb.aabb).max() if self.render_aabb is not None else 1000
+                self.densify_and_prune(self.config.gradient_threshold, self.config.min_opacity, extent, None)
 
         def wrapper_reset_opacity(step):
             if step < self.config.prune_density_until and step > 0: