Scope the download command to the original checkpoint folders

README.md

@@ -192,12 +192,18 @@ Each checkpoint is distributed as a self\-contained Hugging Face\-style reposito
 └── audio_vae/
 ```
 
-Download the model:
+Download the model. The repository hosts the original checkpoint (`FL2VA/`, `Ref2VA/`) and the diffusers format side by side, so scope the download to what your framework needs:
 
 ```bash
-hf download MiniMaxAI/MiniMax-H3 --local-dir MiniMax-H3
+# Original checkpoint, both task families (SGLang, vLLM):
+hf download MiniMaxAI/MiniMax-H3 --include "FL2VA/*" "Ref2VA/*" --local-dir MiniMax-H3
+
+# Or a single task family:
+hf download MiniMaxAI/MiniMax-H3 --include "FL2VA/*" --local-dir MiniMax-H3
 ```
 
+diffusers users do not need a manual download: `ModularPipeline.from_pretrained("MiniMaxAI/MiniMax-H3")` fetches exactly the components it needs. See the [diffusers documentation](https://github.com/huggingface/diffusers/blob/minimax-h3/docs/source/en/api/pipelines/minimax_h3.md) for loading recipes.
+
 We recommend the following inference frameworks to serve the model:
 
 - [SGLang](https://docs.sglang.io/) \- see [cookbook](https://docs.sglang.io/cookbook/diffusion/MiniMax/MiniMax-H3)