diff --git a/nerfstudio/configs/method_configs.py b/nerfstudio/configs/method_configs.py
index e75f3a853..dc9aba07f 100644
--- a/nerfstudio/configs/method_configs.py
+++ b/nerfstudio/configs/method_configs.py
@@ -352,15 +352,15 @@ method_configs["dreamfusion"] = TrainerConfig(
         ),
         model=DreamFusionModelConfig(
             eval_num_rays_per_chunk=1 << 15,
-            distortion_loss_mult=10.0,
+            distortion_loss_mult=0.02,
+            interlevel_loss_mult=1.0,
             orientation_loss_mult=0.1,
             max_res=256,
             sphere_collider=True,
             initialize_density=False,
             random_background=True,
-            interlevel_loss_mult=1.0,
-            proposal_warmup=500,
-            proposal_update_every=5,
+            proposal_warmup=1000,
+            proposal_update_every=2,
             proposal_weights_anneal_max_num_iters=100,
             start_lambertian_training=1000,
             start_normals_training=500,
diff --git a/nerfstudio/model_components/ray_samplers.py b/nerfstudio/model_components/ray_samplers.py
index 08ee1fd95..67201bb18 100644
--- a/nerfstudio/model_components/ray_samplers.py
+++ b/nerfstudio/model_components/ray_samplers.py
@@ -510,7 +510,7 @@ class VolumetricSampler(Sampler):
 
 class ProposalNetworkSampler(Sampler):
     """Sampler that uses a proposal network to generate samples.
-    
+
     Args:
         num_proposal_samples_per_ray: Number of samples to generate per ray for each proposal step.
         num_nerf_samples_per_ray: Number of samples to generate per ray for the NERF model.
@@ -518,6 +518,7 @@ class ProposalNetworkSampler(Sampler):
         single_jitter: Use a same random jitter for all samples along a ray.
         update_sched: A function that takes the iteration number of steps between updates.
         initial_sampler: Sampler to use for the first iteration. Uses UniformLinDispPiecewise if not set.
+        pdf_histogram_padding: Padding to add to the histogram of the pdf.
     """
 
     def __init__(
@@ -528,6 +529,7 @@ class ProposalNetworkSampler(Sampler):
         single_jitter: bool = False,
         update_sched: Callable = lambda x: 1,
         initial_sampler: Optional[Sampler] = None,
+        pdf_histogram_padding: float = 0.01,
     ) -> None:
         super().__init__()
         self.num_proposal_samples_per_ray = num_proposal_samples_per_ray
@@ -542,7 +544,9 @@ class ProposalNetworkSampler(Sampler):
             self.initial_sampler = UniformLinDispPiecewiseSampler(single_jitter=single_jitter)
         else:
             self.initial_sampler = initial_sampler
-        self.pdf_sampler = PDFSampler(include_original=False, single_jitter=single_jitter)
+        self.pdf_sampler = PDFSampler(
+            include_original=False, single_jitter=single_jitter, histogram_padding=pdf_histogram_padding
+        )
 
         self._anneal = 1.0
         self._steps_since_update = 0
diff --git a/nerfstudio/models/dreamfusion.py b/nerfstudio/models/dreamfusion.py
index f96d16eb7..6eba9dc96 100644
--- a/nerfstudio/models/dreamfusion.py
+++ b/nerfstudio/models/dreamfusion.py
@@ -234,6 +234,7 @@ class DreamFusionModel(Model):
             single_jitter=self.config.use_single_jitter,
             update_sched=update_schedule,
             initial_sampler=UniformSampler(single_jitter=self.config.use_single_jitter),
+            pdf_histogram_padding=0.001,
         )
 
         # renderers