Update README.md

README.md

@@ -45,7 +45,7 @@ This project presents *ContentV*, an efficient framework for accelerating the tr
 - A systematic multi-stage training strategy leveraging flow matching for enhanced efficiency
 - A cost-effective reinforcement learning with human feedback framework that improves generation quality without requiring additional human annotations
 
-Our 8B model achieves state-of-the-art result (85.14 on VBench) in only 4 weeks of training with 256×64GB NPUs.
+Our open-source 8B model (based on Stable Diffusion 3.5 Large and Wan-VAE) achieves state-of-the-art result (85.14 on VBench) in only 4 weeks of training with 256×64GB NPUs.
 
 <div align="center">
     <img src="https://raw.githubusercontent.com/bytedance/ContentV/refs/heads/main/assets/demo.jpg" width="100%">
@@ -101,7 +101,7 @@ USE_ASCEND_NPU=1 python3 demo.py
 
 ## 🧾 License
 This code repository and part of the model weights are licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). Please note that:
-- MM DiT are derived from [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) and trained with video samples. This Stability AI Model is licensed under the [Stability AI Community License](https://stability.ai/community-license-agreement), Copyright ©  Stability AI Ltd. All Rights Reserved
+- MMDiT are derived from [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) and trained with video samples. This Stability AI Model is licensed under the [Stability AI Community License](https://stability.ai/community-license-agreement), Copyright ©  Stability AI Ltd. All Rights Reserved
 - Video VAE from [Wan2.1](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B) is licensed under [Apache 2.0 License](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B/blob/main/LICENSE.txt)
 
 ## ❤️ Acknowledgement