Stable Diffusion Web App

This is a Stable-Diffusion Web Application written using Streamlit, Pytorch/Torchvision and HuggingFace Diffusers With proper hardware, it can generate images locally from pre-trained Stable Diffusion Models.

To download model checkpoints, have a look at HuggingFace.

Run Locally

The application expects to find model checkpoints files in the models/stable-diffusion folder, and loras in models/loras folder.

$ uv run streamlit run main.py

It tries to use any discovered GPU that is supported by pytorch, but it can run on CPU (very slowly)

Tested:

• Apple Metal Performance Shaders
• NVIDIA CUDA
• AMD CPU