Update README.md

README.md

@@ -65,7 +65,7 @@ torchrun --nproc_per_node=$NUM_GPUS generate.py --size 704*1280 --dit_fsdp --t5_
 ```
 Tips: 
 If you want to use the base model, you can use "--use_base_model --num_inference_steps 50". Otherwise if you want to generating the interactive videos with your own input actions, you can use "--interactive".
-With multiple GPUs, you can pass `--use_async_vae --async_vae_warmup_iters 1` to speed up inference (see [`test.sh`](test.sh)).
+With multiple GPUs, you can pass `--use_async_vae --async_vae_warmup_iters 1` to speed up inference.
 
 ## ⭐ Acknowledgements
 - [Diffusers](https://github.com/huggingface/diffusers) for their excellent diffusion model framework
@@ -74,8 +74,6 @@ With multiple GPUs, you can pass `--use_async_vae --async_vae_warmup_iters 1` to
 - [LightX2V](https://github.com/ModelTC/lightx2v) for their excellent quantization framework
 - [Wan2.2](https://github.com/Wan-Video/Wan2.2) for their strong base model
 - [lingbot-world](https://github.com/Robbyant/lingbot-world) for their context parallel framework 
-## 📜 License
-This project is licensed under the Apache License, Version 2.0 — see [LICENSE.txt](LICENSE.txt).
 
 ## 📖 Citation
 If you find this work useful for your research, please kindly cite our paper: