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Fix outdated SGLang diffusion documentation links (#314)
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blog/2025-11-07-sglang-diffusion.md

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We are excited to introduce SGLang Diffusion, which brings SGLang's state-of-the-art performance to accelerate image and video generation for diffusion models.
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SGLang Diffusion supports major open-source video and image generation models (Wan, Hunyuan, Qwen-Image, Qwen-Image-Edit, Flux) while providing fast inference speeds and ease of use via multiple API entry points (OpenAI-compatible API, CLI, Python interface). SGLang Diffusion delivers 1.2x - 5.9x speedup across diverse workloads.
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In collaboration with the FastVideo team, we provide a complete ecosystem for diffusion models, from post-training to production serving. The code is available [here](https://github.com/sgl-project/sglang/tree/main/python/sglang/multimodal_gen).
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In collaboration with the FastVideo team, we provide a complete ecosystem for diffusion models, from post-training to production serving. The code is available [here](https://github.com/sgl-project/sglang/tree/main/python/sglang/multimodal_gen). Documentation is available [here](https://docs.sglang.io/diffusion/index.html).
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<iframe
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width="600"
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- Video models: Wan-series, FastWan, Hunyuan
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- Image models: Qwen-Image, Qwen-Image-Edit, Flux
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For full list of supported models, reference [here](https://github.com/sgl-project/sglang/blob/main/python/sglang/multimodal_gen/docs/support_matrix.md).
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For full list of supported models, reference [here](https://docs.sglang.io/diffusion/compatibility_matrix.html).
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## Usage
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--save-output
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```
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Reference [install guide](https://github.com/sgl-project/sglang/blob/main/python/sglang/multimodal_gen/docs/install.md) and [cli guide](https://github.com/sgl-project/sglang/blob/main/python/sglang/multimodal_gen/docs/cli.md) for more installation methods.
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Reference [install guide](https://docs.sglang.io/diffusion/installation.html) and [cli guide](https://docs.sglang.io/diffusion/api/cli.html) for more installation methods.
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### Demo
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blog/2026-01-16-sglang-diffusion.md

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### 4. Few More Things
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- **Memory Monitoring**: Peak usage statistics available across offline generation and online serving workflows.
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- [**Profiling Suite**](https://github.com/sgl-project/sglang/blob/main/python/sglang/multimodal_gen/docs/profiling.md):
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- [**Profiling Suite**](https://docs.sglang.io/diffusion/performance/profiling.html):
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Full-stage support with step-by-step docs for PyTorch Profiler and Nsight Systems.
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- [**Diffusion Cookbook**](https://cookbook.sglang.io/docs/diffusion/): Curated recipes, best practices, and
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benchmarking guides for SGLang-Diffusion.
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- **Slack channel**: [#diffusion](https://sgl-fru7574.slack.com/archives/C09P0HTKE6A) (join via slack.sglang.io)
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- [**Cookbook for SGLang-Diffusion**](https://cookbook.sglang.io/docs/diffusion)
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- [**Documentation on SGLang-Diffusion**](https://github.com/sgl-project/sglang/blob/main/python/sglang/multimodal_gen/docs)
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- [**Documentation on SGLang-Diffusion**](https://docs.sglang.io/diffusion/index.html)
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- [**Roadmap for 26Q1**](https://github.com/sgl-project/sglang/issues/18286)

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