> ## Documentation Index
> Fetch the complete documentation index at: https://lmsysorg-cheng-refactor-decoder-stage-api.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.

<CardGroup cols={3}>
  <Card title="FLUX" mode="card" href="/cookbook/diffusion/FLUX/FLUX" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/flux.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=b7c4cfae071eb726e09bd23abf151670" width="940" height="525" data-path="cards/logos/flux.png" />

  <Card title="Ideogram 4" mode="card" href="/cookbook/diffusion/Ideogram/Ideogram4" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/ideogram.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=da413a1080101d6c0e06b2898c0761a4" width="940" height="525" data-path="cards/logos/ideogram.png" />

  <Card title="Qwen-Image" mode="card" href="/cookbook/diffusion/Qwen-Image/Qwen-Image-2.1" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/qwen.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=a69aea58d8fbf10e29116a823990be4e" width="940" height="525" data-path="cards/logos/qwen.png" />

  <Card title="SenseNova-U1.5" mode="card" href="/cookbook/diffusion/SenseNova/SenseNova-U1.5-8B-MoT" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/internvl.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=933e84e81d564026e19430d3a734475a" width="940" height="525" data-path="cards/logos/internvl.png" />

  <Card title="LongCat-Image" mode="card" href="/cookbook/diffusion/LongCat/LongCat-Image" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/meituan.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=921e647b8b5586e8a53400f080011845" width="940" height="525" data-path="cards/logos/meituan.png" />

  <Card title="Z-Image" mode="card" href="/cookbook/diffusion/Z-Image/Z-Image-Turbo" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/zimage.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=8dda1c83073cdc704f0f6776cfef5df0" width="940" height="525" data-path="cards/logos/zimage.png" />

  <Card title="Ming-Image" mode="card" href="/cookbook/diffusion/inclusionAI/Ming-Image" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/inclusionai.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=510ce6ff881ac06c3f2397c954605340" width="940" height="525" data-path="cards/logos/inclusionai.png" />

  <Card title="Krea" mode="card" href="/cookbook/diffusion/Krea/Krea-2" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/krea.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=f836748e434ebf11bc09932cad2d4877" width="940" height="525" data-path="cards/logos/krea.png" />

  <Card title="ERNIE-Image" mode="card" href="/cookbook/diffusion/Ernie-Image/Ernie-Image" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/ernie.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=f1a79a63a09e8f8975b8a18e0c79c121" width="940" height="525" data-path="cards/logos/ernie.png" />
</CardGroup>

## 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.

<CardGroup cols={3}>
  <Card title="Cosmos" mode="card" href="/cookbook/diffusion/Cosmos/Cosmos3" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/nvidia.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=c4e697cb4699b276462b186d0faa4b5a" width="940" height="525" data-path="cards/logos/nvidia.png" />

  <Card title="Wan" mode="card" href="/cookbook/diffusion/Wan/Wan2.2" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/wan.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=b44be01cc6a801bd808996bd842cdeef" width="940" height="525" data-path="cards/logos/wan.png" />

  <Card title="LongLive 2.0" mode="card" href="/cookbook/diffusion/LongLive/LongLive-2.0" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/nvidia.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=c4e697cb4699b276462b186d0faa4b5a" width="940" height="525" data-path="cards/logos/nvidia.png" />

  <Card title="LTX" mode="card" href="/cookbook/diffusion/LTX/LTX2 & LTX2.3" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/ltx.svg?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=8393988f93055d0bb5dc2e41104ad420" width="940" height="525" data-path="cards/logos/ltx.svg" />

  <Card title="SANA-Video" mode="card" href="/cookbook/diffusion/SANA-Video/SANA-Video" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/sana.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=9c87dc12d360f4bdc706b9716524030b" width="940" height="525" data-path="cards/logos/sana.png" />

  <Card title="JoyAI-Echo" mode="card" href="/cookbook/diffusion/JoyEcho/JoyEcho" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/joyai-echo.svg?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=26c48120cbdcf426a13e21bd89c8faa9" width="940" height="525" data-path="cards/logos/joyai-echo.svg" />

  <Card title="MOVA" mode="card" href="/cookbook/diffusion/MOVA/MOVA" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/mova.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=30d8e64dc888b40c64d0c94fa322b96c" width="940" height="525" data-path="cards/logos/mova.png" />

  <Card title="MiniMax-H3" mode="card" href="/cookbook/diffusion/MiniMax/MiniMax-H3" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/minimax.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=5a1eb0c92518df6ac55d446c95729253" width="940" height="525" data-path="cards/logos/minimax.png" />

  <Card title="LingBot Video MoE" mode="card" href="/cookbook/diffusion/LingBot-Video/LingBot-Video-MoE" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/inclusionai.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=510ce6ff881ac06c3f2397c954605340" width="940" height="525" data-path="cards/logos/inclusionai.png" />
</CardGroup>

## Realtime / World Models

Realtime models keep a session alive and generate chunk by chunk with causal state, control signals, and cached video history.

<CardGroup cols={3}>
  <Card title="LingBot World" mode="card" href="/cookbook/diffusion/LingBot-World/LingBot-World-2.0" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/inclusionai.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=510ce6ff881ac06c3f2397c954605340" width="940" height="525" data-path="cards/logos/inclusionai.png" />

  <Card title="SANA-WM" mode="card" href="/cookbook/diffusion/SANA-WM/SANA-WM" img="https://mintcdn.com/lmsysorg-cheng-refactor-decoder-stage-api/pWoSKzD3QPUtv-bQ/cards/logos/sana.png?fit=max&auto=format&n=pWoSKzD3QPUtv-bQ&q=85&s=9c87dc12d360f4bdc706b9716524030b" width="940" height="525" data-path="cards/logos/sana.png" />
</CardGroup>

Use the sidebar group for LingBot World family variants. The overview links the newer LingBot World 2.0 recipe directly.


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