Upload README.md

README.md

@@ -29,23 +29,14 @@ This repository contains our TI2V-5B model, built with the advanced Wan2.2-VAE t
 
 ## Video Demos
 
-
 <div align="center">
-    <video width="80%" controls>
-        <source src="https://cloud.video.taobao.com/vod/NnCd0fC-1eckDUuVBMz43oD_U6mTsPpBwga3wdnAkXA.mp4" type="video/mp4">
-        Your browser does not support the video tag.
-    </video>
+  <video src="https://github.com/user-attachments/assets/4aca6063-60bf-4953-bfb7-e265053f49ef" width="70%" poster=""> </video>
 </div>
 
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 ## 🔥 Latest News!!
 
-* Jul 28, 2025: 👋 Wan2.1 has been integrated into ComfyUI ([CN](https://docs.comfy.org/zh-CN/tutorials/video/wan/wan2_2) | [EN](https://docs.comfy.org/tutorials/video/wan/wan2_2)). Enjoy!
-* Jul 28, 2025: 👋 Wan2.2's T2V, I2V and TI2V have been integrated into Diffusers ([T2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B-Diffusers) | [I2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B-Diffusers) | [TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers)). Feel free to give it a try!
 * Jul 28, 2025: 👋 We've released the inference code and model weights of **Wan2.2**.
 
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 ## Community Works
 If your research or project builds upon [**Wan2.1**](https://github.com/Wan-Video/Wan2.1) or Wan2.2, we welcome you to share it with us so we can highlight it for the broader community.
 
@@ -79,7 +70,6 @@ cd Wan2.2
 Install dependencies:
 ```sh
 # Ensure torch >= 2.4.0
-# If the installation of `flash_attn` fails, try installing the other packages first and install `flash_attn` last
 pip install -r requirements.txt
 ```
 
@@ -87,6 +77,8 @@ pip install -r requirements.txt
 #### Model Download
 
 
+
+
 | Models              | Download Links                                                                                                                              | Description |
 |--------------------|---------------------------------------------------------------------------------------------------------------------------------------------|-------------|
 | T2V-A14B    | 🤗 [Huggingface](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B)    🤖 [ModelScope](https://modelscope.cn/models/Wan-AI/Wan2.2-T2V-A14B)    | Text-to-Video MoE model, supports 480P & 720P |
@@ -136,6 +128,7 @@ python generate.py --task ti2v-5B --size 1280*704 --ckpt_dir ./Wan2.2-TI2V-5B --
 
 > 💡Similar to Image-to-Video, the `size` parameter represents the area of the generated video, with the aspect ratio following that of the original input image.
 
+
 - Multi-GPU inference using FSDP + DeepSpeed Ulysses
 
 ```sh