> ## Documentation Index > Fetch the complete documentation index at: https://lmsysorg-cheng-hot-fix-sarvam-dense-mlp-reduction.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Overview > Practical guides for deploying and using diffusion models with SGLang. Choose a recipe by output modality. The sidebar stays organized by model family, while this overview separates image, video, and realtime/world workloads. ## Image Models Image models generate one image request as a bounded denoising job, usually with bidirectional attention over the whole latent sequence. ## Video Models Video models denoise a bounded latent video sequence for each request. Use these recipes for offline text-to-video, image-to-video, and video generation serving. ## Realtime / World Models Realtime models keep a session alive and generate chunk by chunk with causal state, control signals, and cached video history. Use the sidebar group for LingBot World family variants. The overview links the newer LingBot World 2.0 recipe directly. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.