From e53730f324de83bcc2013420a7b3a882ab31ed78 Mon Sep 17 00:00:00 2001
From: Loay Rashid <42599591+loaydatrain@users.noreply.github.com>
Date: Fri, 19 Dec 2025 14:48:16 -0800
Subject: [PATCH] [docs] Minor Fixes (#942)

---
 README.md                          | 4 ++--
 docs/distillation/dmd.md           | 2 +-
 examples/inference/basic/README.md | 2 +-
 fastvideo/platforms/cuda.py        | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 4ac2b7256..5a7f5a642 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ FastVideo features an end-to-end unified pipeline for accelerating diffusion mod
 
 ## NEWS
 - ```2025/11/19```: Release [CausalWan2.2 I2V A14B Preview](https://huggingface.co/FastVideo/CausalWan2.2-I2V-A14B-Preview-Diffusers) models, [Blog](https://hao-ai-lab.github.io/blogs/fastvideo_causalwan_preview/) and [Inference Code!](https://github.com/hao-ai-lab/FastVideo/blob/main/examples/inference/basic/basic_self_forcing_causal_wan2_2_i2v.py)
-- ```2025/08/04```: Release [FastWan](https://hao-ai-lab.github.io/FastVideo/distillation/dmd.html) models and [Sparse-Distillation](https://hao-ai-lab.github.io/blogs/fastvideo_post_training/).
+- ```2025/08/04```: Release [FastWan](https://hao-ai-lab.github.io/FastVideo/distillation/dmd) models and [Sparse-Distillation](https://hao-ai-lab.github.io/blogs/fastvideo_post_training/).
 - ```2025/06/14```: Release finetuning and inference code for [VSA](https://arxiv.org/pdf/2505.13389)
 - ```2025/04/24```: [FastVideo V1](https://hao-ai-lab.github.io/blogs/fastvideo/) is released!
 - ```2025/02/18```: Release the inference code for [Sliding Tile Attention](https://hao-ai-lab.github.io/blogs/sta/).
@@ -125,7 +125,7 @@ For a more detailed guide, please see our [inference quick start](https://hao-ai
 ## 🤝 Contributing
 
 We welcome all contributions. Please check out our guide [here](https://hao-ai-lab.github.io/FastVideo/contributing/overview/).
-See details in [development roadmap](https://github.com/hao-ai-lab/FastVideo/issues/468).
+See details in [development roadmap](https://github.com/hao-ai-lab/FastVideo/issues/899).
 ## Acknowledgement
 We learned and reused code from the following projects:
 - [Wan-Video](https://github.com/Wan-Video)
diff --git a/docs/distillation/dmd.md b/docs/distillation/dmd.md
index 74a3cbc4f..b190d613d 100644
--- a/docs/distillation/dmd.md
+++ b/docs/distillation/dmd.md
@@ -13,7 +13,7 @@ We provide two distilled models:
 Both models are trained on **61×448×832** resolution but support generating videos with **any resolution** (1.3B  model mainly support 480P, 14B model support 480P and 720P, quality may degrade for different resolutions).
 
 ## ⚙️ Inference
-First install [VSA](https://hao-ai-lab.github.io/FastVideo/video_sparse_attention/installation.html). Set `MODEL_BASE` to your own model path and run:
+First install [VSA](https://hao-ai-lab.github.io/FastVideo/video_sparse_attention/installation). Set `MODEL_BASE` to your own model path and run:
 
 ```bash
 bash scripts/inference/v1_inference_wan_dmd.sh
diff --git a/examples/inference/basic/README.md b/examples/inference/basic/README.md
index 633e7b5b8..5bba8489b 100644
--- a/examples/inference/basic/README.md
+++ b/examples/inference/basic/README.md
@@ -6,7 +6,7 @@ The `VideoGenerator` class provides the primary Python interface for doing offli
 - Python 3.10-3.12
 
 ## Installation
-If you have not installed FastVideo, please following these [instructions](https://hao-ai-lab.github.io/FastVideo/getting_started/installation.html) first.
+If you have not installed FastVideo, please following these [instructions](https://hao-ai-lab.github.io/FastVideo/getting_started/installation) first.
 
 ## Usage
 The first script in this example shows the most basic usage of FastVideo. If you are new to Python and FastVideo, you should start here.
diff --git a/fastvideo/platforms/cuda.py b/fastvideo/platforms/cuda.py
index 39b593026..967c97f47 100644
--- a/fastvideo/platforms/cuda.py
+++ b/fastvideo/platforms/cuda.py
@@ -183,7 +183,7 @@ class CudaPlatformBase(Platform):
                 raise ImportError(
                     "The Video Sparse Attention backend is not installed. "
                     "To install it, please follow the instructions at: "
-                    "https://hao-ai-lab.github.io/FastVideo/video_sparse_attention/installation.html "
+                    "https://hao-ai-lab.github.io/FastVideo/video_sparse_attention/installation "
                 ) from e
 
         elif selected_backend == AttentionBackendEnum.VMOBA_ATTN: