From da846d1fff09c4d4e1a1125e5d5b10d655b07469 Mon Sep 17 00:00:00 2001
From: Edna <88869424+Ednaordinary@users.noreply.github.com>
Date: Thu, 12 Jun 2025 00:53:40 -0600
Subject: [PATCH] fix hf papers regression in more places

---
 src/diffusers/models/normalization.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/diffusers/models/normalization.py b/src/diffusers/models/normalization.py
index f2b71bb688..b07ed2ca89 100644
--- a/src/diffusers/models/normalization.py
+++ b/src/diffusers/models/normalization.py
@@ -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`.