From 7c8f59d45e0fc10d5231528b3b3347aafb2265c7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?M=2E=20Tolga=20Cang=C3=B6z?=
 <46008593+standardAI@users.noreply.github.com>
Date: Fri, 31 Mar 2023 18:58:27 +0300
Subject: [PATCH] Update unipc.mdx

---
 docs/source/en/api/schedulers/unipc.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/en/api/schedulers/unipc.mdx b/docs/source/en/api/schedulers/unipc.mdx
index 1ed49b7727fc..134dc1ef3170 100644
--- a/docs/source/en/api/schedulers/unipc.mdx
+++ b/docs/source/en/api/schedulers/unipc.mdx
@@ -16,7 +16,7 @@ specific language governing permissions and limitations under the License.
 
 UniPC is a training-free framework designed for the fast sampling of diffusion models, which consists of a corrector (UniC) and a predictor (UniP) that share a unified analytical form and support arbitrary orders.
 
-For more details about the method, please refer to the [[paper]](https://arxiv.org/abs/2302.04867) and the [[code]](https://github.com/wl-zhao/UniPC).
+For more details about the method, please refer to the [paper](https://arxiv.org/abs/2302.04867) and the [code](https://github.com/wl-zhao/UniPC).
 
 Fast Sampling of Diffusion Models with Exponential Integrator.