From d3d3556ff6440956d84244447cbdf07b4c7b6e28 Mon Sep 17 00:00:00 2001
From: Zhongjie Duan <35051019+Artiprocher@users.noreply.github.com>
Date: Fri, 28 Feb 2025 10:09:48 +0800
Subject: [PATCH] Update README.md

---
 examples/wanvideo/README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/examples/wanvideo/README.md b/examples/wanvideo/README.md
index 16e4f5d..ecfc536 100644
--- a/examples/wanvideo/README.md
+++ b/examples/wanvideo/README.md
@@ -44,6 +44,8 @@ https://github.com/user-attachments/assets/3908bc64-d451-485a-8b61-28f6d32dd92f
 
 Wan-Video-14B-I2V adds the functionality of image-to-video based on Wan-Video-14B-T2V. The model size remains the same, therefore the speed and VRAM requirements are also consistent. See [`./wan_14b_image_to_video.py`](./wan_14b_image_to_video.py).
 
+**In the sample code, we use the same settings as the T2V 14B model, with FP8 quantization enabled by default. However, we found that this model is more sensitive to precision, so when the generated video content experiences issues such as artifacts, please switch to bfloat16 precision and use the `num_persistent_param_in_dit` parameter to control VRAM usage.**
+
 ![Image](https://github.com/user-attachments/assets/adf8047f-7943-4aaa-a555-2b32dc415f39)
 
 https://github.com/user-attachments/assets/c0bdd5ca-292f-45ed-b9bc-afe193156e75