---
title: __MODEL_DISPLAY__
description: "Deploy __MODEL_DISPLAY__ with SGLang Diffusion."
metatags:
    description: "Serve __MODEL_DISPLAY__ for __PRIMARY_CAPABILITY__ with SGLang Diffusion."
---

import { DiffusionModelTags } from '/src/snippets/diffusion/model-tags.jsx';
import { Deployment } from '/src/snippets/_deployment.jsx';
import { config } from '/src/snippets/configs/__HF_ORG__/__MODEL_SLUG__.jsx';

<DiffusionModelTags tags={["__MODALITY__", "__PRIMARY_TASK__", "__DIFFERENTIATOR__", "__IMPORTANT_BOUNDARY__"]} />

## 1. Quick start

Install with `uv pip install "sglang[diffusion]" --prerelease=allow`, then choose
a verified recipe below.

<Deployment config={config} />

## 2. Model capabilities

[__MODEL_DISPLAY__](__MODEL_URL__) is __CONCRETE_MODEL_DESCRIPTION__. Its strongest use case is __MEASURED_OR_DOCUMENTED_STRENGTH__.

Choose it when __SELECTION_GUIDANCE__. The main tradeoff is __CAPABILITY_OR_DEPLOYMENT_BOUNDARY__.

| Checkpoint or mode | Best fit | Important boundary |
| --- | --- | --- |
| `__MODEL_ID__` | __USE_CASE__ | __LIMIT__ |

## 3. Deployment details

Document topology-dependent defaults, platform-specific installation details,
and only the hardware recipes that need explanation beyond the builder.

## 4. Request examples

__REQUEST_EXAMPLES__

## 5. Feature details

Document quality contracts, installation requirements, and benchmark scope for
the Server and Request choices exposed in the builder. Keep `torch.compile` and
other experimental controls here until they have a broadly compatible recipe.