Fix speedup notation in SGLang Diffusion blog post (#242)

* Fix speedup notation in SGLang Diffusion blog post

Corrected the speedup notation from '1.2x–5.9x' to '1.2x~' for clarity.

* Revise SGLang Diffusion introduction section

Updated the introduction of SGLang Diffusion to highlight its features and collaboration with the FastVideo team.

Author: mickqian

blog/2025-11-07-sglang-diffusion.md

@@ -6,7 +6,7 @@ previewImg: /images/blog/sgl-diffusion/sgl-diffusion-banner-16-9.png
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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.
-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.
+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~ speedup across diverse workloads.
 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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