Updated readme

README.md

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 # Wan2.1
 
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-    <img src="assets/logo.png" width="400"/>
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     💜 <a href=""><b>Wan</b></a> &nbsp&nbsp ｜ &nbsp&nbsp 🖥️ <a href="https://github.com/Wan-Video/Wan2.1">GitHub</a> &nbsp&nbsp  | &nbsp&nbsp🤗 <a href="https://huggingface.co/Wan-AI/">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/organization/Wan-AI">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="">Paper (Coming soon)</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://wanxai.com">Blog</a> &nbsp&nbsp | &nbsp&nbsp💬 <a href="https://gw.alicdn.com/imgextra/i2/O1CN01tqjWFi1ByuyehkTSB_!!6000000000015-0-tps-611-1279.jpg">WeChat Group</a>&nbsp&nbsp | &nbsp&nbsp 📖 <a href="https://discord.gg/p5XbdQV7">Discord</a>&nbsp&nbsp
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-[**Wan: Open and Advanced Large-Scale Video Generative Models**]("") <be>
+[**Wan2.1 GP by DeepBeepMeep based on Wan2.1's Alibaba: Open and Advanced Large-Scale Video Generative Models**]("") <be>
 
 In this repository, we present **Wan2.1**, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. **Wan2.1** offers these key features:
 - 👍 **SOTA Performance**: **Wan2.1** consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.
@@ -19,15 +16,10 @@ In this repository, we present **Wan2.1**, a comprehensive and open suite of vid
 - 👍 **Visual Text Generation**: **Wan2.1** is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.
 - 👍 **Powerful Video VAE**: **Wan-VAE** delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.
 
-## Video Demos
-
-<div align="center">
-  <video src="https://github.com/user-attachments/assets/4aca6063-60bf-4953-bfb7-e265053f49ef" width="70%" poster=""> </video>
-</div>
 
 ## 🔥 Latest News!!
 
-* Mar 03, 2025: Wan2.1GP DeepBeepMeep out of this World version ! Reduced memory consumption by 2, with possiblity to generate more than 10s of video at 720p
+* Mar 03, 2025: 👋 Wan2.1GP DeepBeepMeep out of this World version ! Reduced memory consumption by 2, with possiblity to generate more than 10s of video at 720p
 * Feb 25, 2025: 👋 We've released the inference code and weights of Wan2.1.
 * Feb 27, 2025: 👋 Wan2.1 has been integrated into [ComfyUI](https://comfyanonymous.github.io/ComfyUI_examples/wan/). Enjoy!
 
@@ -35,8 +27,8 @@ In this repository, we present **Wan2.1**, a comprehensive and open suite of vid
 ## Features
 *GPU Poor version by **DeepBeepMeep**. This great video generator can now run smoothly on any GPU.*
 
-This version has the following improvements over the original Hunyuan Video model:
+This version has the following improvements over the original Alibaba model:
-- Reduce greatly the RAM requirements and VRAM requirements
+- Reduce greatly the RAM requirements and VRAM requirements 
 - Much faster thanks to compilation and fast loading / unloading
 - 5 profiles in order to able to run the model at a decent speed on a low end consumer config (32 GB of RAM and 12 VRAM) and to run it at a very good speed on a high end consumer config (48 GB of RAM and 24 GB of VRAM)
 - Autodownloading of the needed model files
@@ -47,8 +39,7 @@ This version has the following improvements over the original Hunyuan Video mode
 - Much simpler installation
 
 
-
+This fork by DeepBeepMeep is an integration of the mmpg module on the original model
-This fork by DeepBeepMeep is an integration of the mmpg module on the gradio_server.py.
 
 It is an illustration on how one can set up on an existing model some fast and properly working CPU offloading with changing only a few lines of code in the core model.