Update README.md

README.md

@@ -96,22 +96,26 @@ python wan_generate_video.py --fp8 --task t2v-1.3B --video_size 1024 1024 --vide
 
 <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/6mrbztx2gZ7UR7a4kirIq.mp4"></video>
 
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 ## Parameters
 
-• `--fp8`: Enable FP8 precision (optional).
-• `--task`: Specify the task (e.g., `t2v-1.3B`).
-• `--video_size`: Set the resolution of the generated video (e.g., `1024 1024`).
-• `--video_length`: Define the length of the video in frames.
-• `--infer_steps`: Number of inference steps.
-• `--save_path`: Directory to save the generated video.
-• `--output_type`: Output type (e.g., `both` for video and frames).
-• `--dit`: Path to the diffusion model weights.
-• `--vae`: Path to the VAE model weights.
-• `--t5`: Path to the T5 model weights.
-• `--attn_mode`: Attention mode (e.g., `torch`).
-• `--lora_weight`: Path to the LoRA weights.
-• `--lora_multiplier`: Multiplier for LoRA weights.
-• `--prompt`: Textual prompt for video generation.
+* `--fp8`: Enable FP8 precision (optional).
+* `--task`: Specify the task (e.g., `t2v-1.3B`).
+* `--video_size`: Set the resolution of the generated video (e.g., `1024 1024`).
+* `--video_length`: Define the length of the video in frames.
+* `--infer_steps`: Number of inference steps.
+* `--save_path`: Directory to save the generated video.
+* `--output_type`: Output type (e.g., `both` for video and frames).
+* `--dit`: Path to the diffusion model weights.
+* `--vae`: Path to the VAE model weights.
+* `--t5`: Path to the T5 model weights.
+* `--attn_mode`: Attention mode (e.g., `torch`).
+* `--lora_weight`: Path to the LoRA weights.
+* `--lora_multiplier`: Multiplier for LoRA weights.
+* `--prompt`: Textual prompt for video generation.
+
+
 
 ## Output