diff --git a/docs/source/distillation/dmd.md b/docs/source/distillation/dmd.md
index ea5ab5572..74a3cbc4f 100644
--- a/docs/source/distillation/dmd.md
+++ b/docs/source/distillation/dmd.md
@@ -6,7 +6,7 @@ We introduce a new finetuning strategy - **Sparse-distill**, which jointly integ
 
 We provide two distilled models:
 
-- **[FastWan2.1-T2V-1.3B-Diffusers](https://huggingface.co/FastVideo/FastWan2.1-T2V-1.3B-Diffusers)**: 3-step inference, up to **20 FPS** on H100 GPU
+- **[FastWan2.1-T2V-1.3B-Diffusers](https://huggingface.co/FastVideo/FastWan2.1-T2V-1.3B-Diffusers)**: 3-step inference, up to **16 FPS** on H100 GPU
 - **[FastWan2.1-T2V-14B-480P-Diffusers](https://huggingface.co/FastVideo/FastWan2.1-T2V-14B-480P-Diffusers)**: 3-step inference, up to **60x speed up** at 480P, **90x speed up** at 720P for denoising loop
 - **[FastWan2.2-TI2V-5B-FullAttn-Diffusers](https://huggingface.co/FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers)**: 3-step inference, up to **50x speed up** at 720P for denoising loop
 
diff --git a/docs/source/sliding_tile_attention/installation.md b/docs/source/sliding_tile_attention/installation.md
index 9069bcdd0..46bde6b6f 100644
--- a/docs/source/sliding_tile_attention/installation.md
+++ b/docs/source/sliding_tile_attention/installation.md
@@ -53,3 +53,9 @@ out = sliding_tile_attention(q, k, v, window_size, text_length)
 out = sliding_tile_attention(q, k, v, window_size, 0, False)
 
 ```
+
+# 🚀Inference
+
+```bash
+bash scripts/inference/v1_inference_wan_STA.sh
+```
diff --git a/docs/source/video_sparse_attention/installation.md b/docs/source/video_sparse_attention/installation.md
index 78a9a907c..00192802b 100644
--- a/docs/source/video_sparse_attention/installation.md
+++ b/docs/source/video_sparse_attention/installation.md
@@ -59,3 +59,9 @@ from vsa import video_sparse_attn
 output = video_sparse_attn(q, k, v, variable_block_sizes, topk, block_size, compress_attn_weight)
 
 ``` 
+
+# 🚀Inference
+
+```bash
+bash scripts/inference/v1_inference_wan_VSA.sh
+```
diff --git a/examples/distill/Wan2.2-TI2V-5B-Diffusers/Data-free/README.md b/examples/distill/Wan2.2-TI2V-5B-Diffusers/Data-free/README.md
new file mode 100644
index 000000000..f709a92da
--- /dev/null
+++ b/examples/distill/Wan2.2-TI2V-5B-Diffusers/Data-free/README.md
@@ -0,0 +1,13 @@
+# Wan2.2-5B Distill Example
+These are end-to-end example scripts for distilling Wan2.2 TI2V 5B model DMD+VSA methods.
+
+### 0. Make sure you have installed VSA
+
+```bash
+cd csrc/attn
+git submodule update --init --recursive
+python setup_vsa.py install
+```
+
+### Data-free Distillation
+When `--simulate_generator_forward` is enabled, distillation becomes data-free by simulating intermediate steps through forward inference of the generator. This helps avoid training–inference mismatch. See Section 4.5 of [DMD2](https://arxiv.org/pdf/2405.14867) for details.
\ No newline at end of file
diff --git a/examples/distill/Wan2.2-TI2V-5B-Diffusers/crush_smol/README.md b/examples/distill/Wan2.2-TI2V-5B-Diffusers/crush_smol/README.md
index bb05d2a48..0c71a0005 100644
--- a/examples/distill/Wan2.2-TI2V-5B-Diffusers/crush_smol/README.md
+++ b/examples/distill/Wan2.2-TI2V-5B-Diffusers/crush_smol/README.md
@@ -9,4 +9,14 @@ git submodule update --init --recursive
 python setup_vsa.py install
 ```
 
-### TODO
\ No newline at end of file
+### 1. Download dataset:
+```bash
+bash examples/distill/Wan2.2-TI2V-5B-Diffusers/crush_smol/download_dataset.sh
+```
+
+### 2. Configure and run distillation:
+
+#### For DMD-only distillation:
+```bash
+bash examples/distill/Wan2.2-TI2V-5B-Diffusers/crush_smol/examples/distill/Wan2.2-TI2V-5B-Diffusers/crush_smol/
+```