update readme

README.md

@@ -137,14 +137,14 @@ To run inference with our provided weights, first download [T5](https://huggingf
 torchrun --standalone --nproc_per_node 1 scripts/inference.py configs/opensora/inference/16x256x256.py --ckpt-path ./path/to/your/ckpt.pth --prompt-path ./asserts/texts/t2v_samples.txt
 
 # Sample 16x512x512 (20s/sample, 100 time steps)
-torchrun --standalone --nproc_per_node 1 scripts/inference.py configs/opensora/inference/16x512x512.py --ckpt-path ./path/to/your/ckpt.pth
+torchrun --standalone --nproc_per_node 1 scripts/inference.py configs/opensora/inference/16x512x512.py --ckpt-path ./path/to/your/ckpt.pth --prompt-path ./asserts/texts/t2v_samples.txt
 
 # Sample 64x512x512 (40s/sample, 100 time steps)
-torchrun --standalone --nproc_per_node 1 scripts/inference.py configs/opensora/inference/64x512x512.py --ckpt-path ./path/to/your/ckpt.pth
+torchrun --standalone --nproc_per_node 1 scripts/inference.py configs/opensora/inference/64x512x512.py --ckpt-path ./path/to/your/ckpt.pth --prompt-path ./asserts/texts/t2v_samples.txt
 
 # Sample 64x512x512 with sequence parallelism (30s/sample, 100 time steps)
 # sequence parallelism is enabled automatically when nproc_per_node is larger than 1
-torchrun --standalone --nproc_per_node 2 scripts/inference.py configs/opensora/inference/64x512x512.py --ckpt-path ./path/to/your/ckpt.pth
+torchrun --standalone --nproc_per_node 2 scripts/inference.py configs/opensora/inference/64x512x512.py --ckpt-path ./path/to/your/ckpt.pth --prompt-path ./asserts/texts/t2v_samples.txt
 ```
 
 The speed is tested on H800 GPUs. For inference with other models, see [here](docs/commands.md) for more instructions.