Update model card

README.md

@@ -126,40 +126,28 @@ huggingface-cli download \
 Run from the repository root. This command generates an 81-frame video from an input image with the `1step` checkpoint on a single GPU.
 
 ```bash
-TORCH_COMPILE_DISABLE=1 TORCHDYNAMO_DISABLE=1 \
-CUDA_VISIBLE_DEVICES=0 \
 python aad1/inference.py \
   --prompt "two people scuba diving in the ocean" \
-  --image_path "assets/examples/two people scuba diving in the ocean.jpg" \
+  --image_path assets/examples/scuba_diving_ocean.jpg \
   --output_path outputs/aad1_scuba_1step.mp4 \
   --checkpoint_path checkpoints/14b_i2v_1step_transformer/self_forcing_generator_bf16.index.json \
   --wan_model_dir wan_models/Wan2.1-T2V-14B \
   --num_frames 81 \
-  --height 480 \
-  --width 832 \
   --seed 1000 \
-  --local_attn_size 9 \
-  --sink_size 1 \
   --denoising_timestep_list 1000
 ```
 
 Example `2step` command:
 
 ```bash
-TORCH_COMPILE_DISABLE=1 TORCHDYNAMO_DISABLE=1 \
-CUDA_VISIBLE_DEVICES=0 \
 python aad1/inference.py \
   --prompt "two people scuba diving in the ocean" \
-  --image_path "assets/examples/two people scuba diving in the ocean.jpg" \
+  --image_path assets/examples/scuba_diving_ocean.jpg \
   --output_path outputs/aad1_scuba_2step.mp4 \
   --checkpoint_path checkpoints/14b_i2v_2step_transformer/self_forcing_generator_bf16.index.json \
   --wan_model_dir wan_models/Wan2.1-T2V-14B \
   --num_frames 81 \
-  --height 480 \
-  --width 832 \
   --seed 1000 \
-  --local_attn_size 9 \
-  --sink_size 1 \
   --denoising_timestep_list 1000,500
 ```