Update the readme

Signed-off-by: Jingyu Xin <jingyux@nvidia.com>

Author: jingyu-ml

examples/diffusers/README.md

@@ -305,9 +305,6 @@ config = {
     "sparse_cfg": {
         "calibration": {
             "target_sparse_ratio": {"prefill": 0.5},
-            "threshold_trials": [1e-6, 5e-6, 1e-5, 5e-5, 1e-4, 5e-4, 1e-3, 5e-3,
-                                 1e-2, 2e-2, 5e-2, 1e-1, 2e-1, 3e-1, 5e-1, 7e-1,
-                                 8e-1, 9e-1, 9.9e-1],
         },
         "*.attn1": {
             "method": "triton_skip_softmax",
@@ -339,15 +336,10 @@ output = pipeline(prompt="a dog on the beach", ...)
 The 14B model automatically sparsifies both `transformer` and `transformer_2`.
 
 ```bash
-# 5B model — calibrate + generate (4 prompts from OpenVid-1M, 151 frames, 40 steps)
-python sparsity/wan22_skip_softmax.py \
-    --model-path Wan-AI/Wan2.2-TI2V-5B-Diffusers \
-    --calibrate --target-sparsity 0.5 --calib-size 4 \
-    --prompt "A sunset over mountains" --output out.mp4
 
-# 14B model (both transformers sparsified)
+# 5B/14B model
 python sparsity/wan22_skip_softmax.py \
-    --model-path Wan-AI/Wan2.2-T2V-A14B-Diffusers \
+    --model-path Wan-AI/Wan2.2-T2V-A14B-Diffusers|Wan-AI/Wan2.2-TI2V-5B-Diffusers \
     --calibrate --target-sparsity 0.5 --calib-size 4 \
     --prompt "A sunset over mountains" --output out.mp4
 ```