1 files changed, 0 insertions, 16 deletions

diff --git a/training/functional.py b/training/functional.py
index db46766..27a43c2 100644
--- a/training/functional.py
+++ b/training/functional.py
@@ -254,7 +254,6 @@ def loss_step(
     text_encoder: CLIPTextModel,
     with_prior_preservation: bool,
     prior_loss_weight: float,
-    perlin_strength: float,
     seed: int,
     step: int,
     batch: dict[str, Any],
@@ -277,19 +276,6 @@ def loss_step(
         generator=generator
     )
 
-    if perlin_strength != 0:
-        noise += perlin_strength * perlin_noise(
-            latents.shape[0],
-            latents.shape[1],
-            latents.shape[2],
-            latents.shape[3],
-            res=1,
-            octaves=4,
-            dtype=latents.dtype,
-            device=latents.device,
-            generator=generator
-        )
-
     # Sample a random timestep for each image
     timesteps = torch.randint(
         0,
@@ -574,7 +560,6 @@ def train(
     global_step_offset: int = 0,
     with_prior_preservation: bool = False,
     prior_loss_weight: float = 1.0,
-    perlin_strength: float = 0.1,
     **kwargs,
 ):
     text_encoder, unet, optimizer, train_dataloader, val_dataloader, lr_scheduler, extra = strategy.prepare(
@@ -609,7 +594,6 @@ def train(
         text_encoder,
         with_prior_preservation,
         prior_loss_weight,
-        perlin_strength,
         seed,
     )