add sglang to more sections

README.md

@@ -168,6 +168,7 @@ Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated sys
 - [PyTorch](https://github.com/nvidia/cosmos3)
 - [vLLM-Omni](https://github.com/vllm-project/vllm-omni)
 - [Hugging Face Diffusers](https://huggingface.co/docs/diffusers/en/index)
+- [SGLang](https://sgl-project.github.io/)
 
 **Supported Hardware Microarchitecture Compatibility:**
 
@@ -416,7 +417,7 @@ python scripts/upsample_prompt.py \
 
 ### SGLang
 
-SGLang-Diffusion can serve `nvidia/Cosmos3-Super-Image2Video` through the OpenAI-compatible async video endpoint. Install SGLang from the main branch with diffusion dependencies, then start the server:
+[SGLang Diffusion](https://sgl-project.github.io/diffusion) can serve `nvidia/Cosmos3-Super-Image2Video` through OpenAI-compatible video generation endpoints. Install SGLang from the main branch with diffusion dependencies, then start the server:
 
 ```bash
 git clone --branch main https://github.com/sgl-project/sglang.git
@@ -460,6 +461,8 @@ curl -sS -L "http://localhost:30000/v1/videos/${job_id}/content" \
   -o cosmos3_super_i2v_output.mp4
 ```
 
+For complete serving instructions and request examples, see the [Cosmos3 SGLang cookbook](https://lmsysorg.mintlify.app/cookbook/diffusion/Cosmos/Cosmos3).
+
 ### Diffusers
 
 Cosmos3 is fully supported within the popular HuggingFace Diffusers package. This integration makes it a supported inference backend, allowing developers to easily incorporate Cosmos3's capabilities - such as text-to-image generation - into their pipelines using the Cosmos3OmniPipeline class, as demonstrated by the provided code examples (see examples for other modalities on the HuggingFace Cosmos3 page).
@@ -538,7 +541,7 @@ Cosmos3 outputs should not be treated as physically accurate simulation, reliabl
 
 ## Inference
 
-**Acceleration Engine:** [PyTorch](https://pytorch.org/), [vLLM](https://github.com/vllm-project/vllm), [vLLM-Omni](https://github.com/vllm-project/vllm-omni), [Hugging Face Diffusers](https://github.com/huggingface/diffusers)
+**Acceleration Engine:** [PyTorch](https://pytorch.org/), [vLLM](https://github.com/vllm-project/vllm), [vLLM-Omni](https://github.com/vllm-project/vllm-omni), [Hugging Face Diffusers](https://github.com/huggingface/diffusers), [SGLang](https://sgl-project.github.io/), [SGLang Diffusion](https://sgl-project.github.io/diffusion)
 
 **Test Hardware:** GB200 and H100