From 8056c56259bb9d6ce6d926ff1ffe7d9da9c49a70 Mon Sep 17 00:00:00 2001
From: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Date: Fri, 16 Feb 2024 08:53:07 -0800
Subject: [PATCH] Update ip_adapter.md

---
 docs/source/en/using-diffusers/ip_adapter.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/en/using-diffusers/ip_adapter.md b/docs/source/en/using-diffusers/ip_adapter.md
index 7b5b4fd3111f..0ad599c819dc 100644
--- a/docs/source/en/using-diffusers/ip_adapter.md
+++ b/docs/source/en/using-diffusers/ip_adapter.md
@@ -245,7 +245,7 @@ Generating accurate faces is challenging because they are complex and nuanced. D
 * [ip-adapter-full-face_sd15.safetensors](https://huggingface.co/h94/IP-Adapter/blob/main/models/ip-adapter-full-face_sd15.safetensors) is conditioned with images of cropped faces and removed backgrounds
 * [ip-adapter-plus-face_sd15.safetensors](https://huggingface.co/h94/IP-Adapter/blob/main/models/ip-adapter-plus-face_sd15.safetensors) uses patch embeddings and is conditioned with images of cropped faces
 
-> [TIP]
+> [!TIP]
 > [IP-Adapter-FaceID](https://huggingface.co/h94/IP-Adapter-FaceID) is a face-specific IP-Adapter trained with face ID embeddings instead of CLIP image embeddings, allowing you to generate more consistent faces in different contexts and styles. Try out this popular [community pipeline](https://github.com/huggingface/diffusers/tree/main/examples/community#ip-adapter-face-id) and see how it compares to the other face IP-Adapters.
 
 For face models, use the [h94/IP-Adapter](https://huggingface.co/h94/IP-Adapter) checkpoint. It is also recommended to use [`DDIMScheduler`] or [`EulerDiscreteScheduler`] for face models.