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fix hf papers regression in more places

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Edna
2025-06-12 00:53:40 -06:00
committed by GitHub
parent 42c0e8ecbe
commit da846d1fff
1 changed files with 3 additions and 3 deletions
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src/diffusers/models/normalization.py
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@@ -306,7 +306,7 @@ class AdaLayerNormSingle(nn.Module):
r"""
Norm layer adaptive layer norm single (adaLN-single).
As proposed in PixArt-Alpha (see: https://arxiv.org/abs/2310.00426; Section 2.3).
As proposed in PixArt-Alpha (see: https://huggingface.co/papers/2310.00426; Section 2.3).
Parameters:
embedding_dim (`int`): The size of each embedding vector.
@@ -623,7 +623,7 @@ else:
class RMSNorm(nn.Module):
r"""
RMS Norm as introduced in https://arxiv.org/abs/1910.07467 by Zhang et al.
RMS Norm as introduced in https://huggingface.co/papers/1910.07467 by Zhang et al.
Args:
dim (`int`): Number of dimensions to use for `weights`. Only effective when `elementwise_affine` is True.
@@ -713,7 +713,7 @@ class MochiRMSNorm(nn.Module):
class GlobalResponseNorm(nn.Module):
r"""
Global response normalization as introduced in ConvNeXt-v2 (https://arxiv.org/abs/2301.00808).
Global response normalization as introduced in ConvNeXt-v2 (https://huggingface.co/papers/2301.00808).
Args:
dim (`int`): Number of dimensions to use for the `gamma` and `beta`.