This is a Stable-Diffusion Web Application written using Gradio and FastAPI. It exposes a way to perform inference with a Stable Diffusion compatible model in the backend.
The application expects to find model checkpoints files in the models/stable-diffusion folder.
# development mode
$ fastapi dev
# production mode
$ fastapi runIt 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