MickJ commited on
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Use SGLang main branch for Cosmos3 install

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  1. README.md +4 -2
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@@ -927,10 +927,10 @@ Cosmos3 outputs should not be treated as physically accurate simulation, reliabl
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  ## SGLang Serve
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- [SGLang Diffusion](https://github.com/sgl-project/sglang) can serve Cosmos3-Nano through OpenAI-compatible image and video endpoints. Install SGLang from source with diffusion dependencies, then start a server:
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  ```shell
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- git clone https://github.com/sgl-project/sglang.git
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  cd sglang
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  pip install -e "python[diffusion]"
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  pip install "cosmos-guardrail==0.3.1"
@@ -938,6 +938,8 @@ pip install "cosmos-guardrail==0.3.1"
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  sglang serve --model-path nvidia/Cosmos3-Nano
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  ```
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  For a video-specialized checkpoint, use `Cosmos3-Super-Image2Video` with multiple GPUs:
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  ```shell
 
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  ## SGLang Serve
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+ [SGLang Diffusion](https://github.com/sgl-project/sglang) can serve Cosmos3-Nano through OpenAI-compatible image and video endpoints. Install SGLang from the main branch with diffusion dependencies, then start a server:
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  ```shell
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+ git clone --branch main https://github.com/sgl-project/sglang.git
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  cd sglang
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  pip install -e "python[diffusion]"
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  pip install "cosmos-guardrail==0.3.1"
 
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  sglang serve --model-path nvidia/Cosmos3-Nano
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  ```
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+ Cosmos 3 support in SGLang Diffusion currently requires the SGLang main branch. Switch to a stable SGLang release once Cosmos 3 support is included there.
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+
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  For a video-specialized checkpoint, use `Cosmos3-Super-Image2Video` with multiple GPUs:
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  ```shell