metadata
title: StreamDiffusion Realtime Txt2img
emoji: 👁
colorFrom: red
colorTo: yellow
sdk: docker
app_port: 9090
pinned: false
Txt2Img Example
This example provides a simple implementation of the use of StreamDiffusion to generate images from text.
Usage
chmod +x ./start.sh && ./start.sh
or
cd server
python3 main.py &
cd ../view
npm start
Docker
Build
GITHUB_TOKEN is temp until project is public
docker build --secret id=GITHUB_TOKEN,src=./github_token.txt -t realtime-txt2img .
Run
docker run -ti -p 9090:9090 -e HF_HOME=/data -v ~/.cache/huggingface:/data --gpus all realtime-txt2img
-e HF_HOME=/data -v ~/.cache/huggingface:/data is used to mount your local huggingface cache to the container, so that you don't need to download the model again.