sglang/python/sglang/multimodal_gen/docs/install.md

Install sgl-diffusion

You can install sgl-diffusion using one of the methods below.

This page primarily applies to common NVIDIA GPU platforms.

Method 1: With pip or uv

It is recommended to use uv for a faster installation:

pip install --upgrade pip
pip install uv
uv pip install 'sglang[diffusion]' --prerelease=allow

Method 2: From source

# Use the latest release branch
git clone https://github.com/sgl-project/sglang.git
cd sglang

# Install the Python packages
pip install --upgrade pip
pip install -e "python/.[diffusion]"

# With uv
uv pip install --prerelease=allow  -e "python/.[diffusion]"

Method 3: Using Docker

The Docker images are available on Docker Hub at lmsysorg/sglang, built from the Dockerfile. Replace <secret> below with your HuggingFace Hub token.

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:dev \
    sglang generate --model-path black-forest-labs/FLUX.1-dev \
    --prompt "A logo With Bold Large text: SGL Diffusion" \
    --save-output