Cleanup.

comfy/rmsnorm.py

@@ -27,17 +27,6 @@ def rms_norm(x, weight=None, eps=1e-6):
 
 if RMSNorm is None:
     class RMSNorm(torch.nn.Module):
-        def __init__(
-            self, dim: int, elementwise_affine: bool = False, eps: float = 1e-6, device=None, dtype=None, **kwargs
-        ):
-            super().__init__()
-            self.eps = eps
-            self.learnable_scale = elementwise_affine
-            if self.learnable_scale:
-                self.weight = torch.nn.Parameter(torch.empty(dim, device=device, dtype=dtype))
-            else:
-                self.register_parameter("weight", None)
-
         def __init__(
             self,
             normalized_shape,

comfy/text_encoders/long_clipl.py

@@ -1,5 +1,3 @@
-from comfy import sd1_clip
-import os
 
 
 def model_options_long_clip(sd, tokenizer_data, model_options):