Skip to content

Image Generation wtih Stable Diffusion in PyTorch, Hugging and HuggingFace. The model is also exposed via a FastAPI backend and consumed by a frontend written in React.

Notifications You must be signed in to change notification settings

Adi-UA/start-journey

Repository files navigation

Start Journey

Image Generation wtih Stable Diffusion in PyTorch, HuggingFace and Diffusers. The model is also exposed via a FastAPI backend and consumed by a frontend written in React.

Note: This project's backend REQUIRES CUDA. If you are tryinig to set this up locally, please make sure to install a version of PyTorch that supports CUDA when installting the requirements. I am using CUDA 11.8

Running the Backend

If you have CUDA installed (I will assume version 11.8 for the following commands), run the following:

  1. Create and activate a Python virtual environment in start-journey-backend/
  2. Install PyTorch with pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
  3. Install HuggingFace, Diffusers, FastAPI, and Uvicorn pip install transformers diffusers fastapi uvicorn
  4. In the start-journey-backend folder run uvicorn app:app. The backend should now be hosted on localhost:8000

Running the FrontEnd

The frontend is a simple react app, so assuming you have the backend running already, to run the frontend, simply run npm start in the start-journey-frontend folder. The app will be availble on localhost:3000.

About

Image Generation wtih Stable Diffusion in PyTorch, Hugging and HuggingFace. The model is also exposed via a FastAPI backend and consumed by a frontend written in React.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published