MickJ commited on
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e95b130
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1 Parent(s): 18c74df

Fix SGLang documentation links

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  1. README.md +4 -4
README.md CHANGED
@@ -168,7 +168,7 @@ Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated sys
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  - [PyTorch](https://github.com/nvidia/cosmos3)
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  - [vLLM-Omni](https://github.com/vllm-project/vllm-omni)
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  - [Hugging Face Diffusers](https://huggingface.co/docs/diffusers/en/index)
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- - [SGLang](https://sgl-project.github.io/)
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  **Supported Hardware Microarchitecture Compatibility:**
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@@ -417,7 +417,7 @@ python scripts/upsample_prompt.py \
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  ### SGLang
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- [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:
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  ```bash
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  git clone --branch main https://github.com/sgl-project/sglang.git
@@ -461,7 +461,7 @@ curl -sS -L "http://localhost:30000/v1/videos/${job_id}/content" \
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  -o cosmos3_super_i2v_output.mp4
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  ```
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- For complete serving instructions and request examples, see the [Cosmos3 SGLang cookbook](https://lmsysorg.mintlify.app/cookbook/diffusion/Cosmos/Cosmos3).
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  ### Diffusers
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@@ -541,7 +541,7 @@ Cosmos3 outputs should not be treated as physically accurate simulation, reliabl
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  ## Inference
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- **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)
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  **Test Hardware:** GB200 and H100
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  - [PyTorch](https://github.com/nvidia/cosmos3)
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  - [vLLM-Omni](https://github.com/vllm-project/vllm-omni)
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  - [Hugging Face Diffusers](https://huggingface.co/docs/diffusers/en/index)
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+ - [SGLang](https://github.com/sgl-project/sglang)
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  **Supported Hardware Microarchitecture Compatibility:**
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  ### SGLang
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+ [SGLang Diffusion](https://docs.sglang.io/docs/sglang-diffusion/index) 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:
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  ```bash
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  git clone --branch main https://github.com/sgl-project/sglang.git
 
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  -o cosmos3_super_i2v_output.mp4
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  ```
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+ For complete serving instructions and request examples, see the [Cosmos3 SGLang cookbook](https://docs.sglang.io/cookbook/diffusion/Cosmos/Cosmos3).
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  ### Diffusers
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  ## Inference
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+ **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://github.com/sgl-project/sglang), [SGLang Diffusion](https://docs.sglang.io/docs/sglang-diffusion/index)
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  **Test Hardware:** GB200 and H100
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