Lsmith is a fast StableDiffusionWebUI using high-speed inference technology with TensorRT

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Benchmark

Usage

Docker | Easy

1. Clone repository
2. Launch using Docker compose

docker compose up

Linux | Difficult

requirements

• Python 3.10
• pip
• CUDA
• cuDNN < 8.6.0
• TensorRT 8.5.x

1. Follow the instructions on this page to build TensorRT OSS and get libnvinfer_plugin.so.
2. Clone Lsmith repository

git clone https://github.com/ddPn08/Lsmith.git

3. Enter the repository directory.

cd Lsmith

4. Run launch.sh with the path to libnvinfer_plugin.so in the LD_PRELOAD variable.

ex. )
LD_PRELOAD="/lib/src/TensorRT/build/out/libnvinfer_plugin.so.8" bash launch.sh --host 0.0.0.0

Windows | Unavailable now...

We are looking for a way to do that.

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Special thanks to the technical members of the AI絵作り研究会, a Japanese AI image generation community.