[docs] fix FastH3 installation instructions

README.md

@@ -3,6 +3,7 @@ license: other
 license_name: minimax-h3-community
 license_link: LICENSE
 base_model: MiniMaxAI/MiniMax-H3
+library_name: fastvideo
 tags:
 - video-generation
 - text-to-audio-video
@@ -36,12 +37,20 @@ one four-forward FastH3 transformer from the MiniMax H3 base model.
 
 ## Run the recommended adapter
 
+Install [uv](https://docs.astral.sh/uv/getting-started/installation/), then use
+the CUDA 13 / Blackwell path below. It selects FastVideo's published CUDA
+kernel wheel instead of compiling the kernel locally. See the
+[installation guide](https://hao-ai-lab.github.io/FastVideo/getting_started/installation/)
+for other platforms.
+
 ```bash
 git clone https://github.com/hao-ai-lab/FastVideo.git
 cd FastVideo
-uv venv --python 3.12
+uv venv --python 3.12 --seed
 source .venv/bin/activate
-UV_TORCH_BACKEND=cu130 uv pip install -e ".[fasth3]"
+UV_TORCH_BACKEND=cu130 uv pip install \
+  --no-sources-package fastvideo-kernel \
+  -e ".[fasth3]"
 ```
 
 ```bash
@@ -52,7 +61,10 @@ bash examples/inference/basic/run_fasth3_lora_preview_vsa_datafree.sh \
 ```
 
 Set `FASTH3_LORA_STRENGTH` to change the adapter strength from its default of
-`1.0`.
+`1.0`. The tested defaults use four B200 GPUs. On other multi-GPU CUDA
+systems, follow the installation guide and add
+`--no-replicated-dit --vsa-kernel triton --no-fa4` to a VSA launcher. The GPU
+count must divide H3's 56 attention heads.
 
 ## Variants