--- title: Real-Time Latent Consistency Model emoji: 🔥 colorFrom: gray colorTo: indigo sdk: docker pinned: false --- # Real-Time Latent Consistency Model This demo showcases [Latent Consistency Model (LCM)](https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7) using [Diffusers](https://github.com/huggingface/diffusers/tree/main/examples/community#latent-consistency-pipeline) with a MJPEG stream server. You need a webcam to run this demo. 🤗 ## Running Locally You need CUDA and Python `TIMEOUT`: limit user session timeout `SAFETY_CHECKER`: disabled if you want NSFW filter off `MAX_QUEUE_SIZE`: limit number of users on current app instance ```bash python -m venv venv source venv/bin/activate pip install -r requirements.txt uvicorn "app:app" --host 0.0.0.0 --port 7860 --reload ``` or with environment variables ```bash TIMEOUT=120 SAFETY_CHECKER=True MAX_QUEUE_SIZE=4 uvicorn "app:app" --host 0.0.0.0 --port 7860 --reload ``` If you're running locally and want to test it on Mobile Safari, the webserver needs to be served over HTTPS. ```bash openssl req -newkey rsa:4096 -nodes -keyout key.pem -x509 -days 365 -out certificate.pem uvicorn "app:app" --host 0.0.0.0 --port 7860 --reload --log-level info --ssl-certfile=certificate.pem --ssl-keyfile=key.pem ``` ## Docker You need NVIDIA Container Toolkit for Docker ```bash docker build -t lcm-live . docker run -ti -p 7860:7860 --gpus all lcm-live ``` or with environment variables ```bash docker run -ti -e TIMEOUT=0 -e SAFETY_CHECKER=False -p 7860:7860 --gpus all lcm-live ``` # Demo on Hugging Face https://huggingface.co/spaces/radames/Real-Time-Latent-Consistency-Model https://github.com/radames/Real-Time-Latent-Consistency-Model/assets/102277/c4003ac5-e7ff-44c0-97d3-464bb659de70