README.md

---
license: openrail
---

## Super Resolution

I fine tuned a version of Stable Diffusion 1.4 for the task of super-resolution, you can find the [trained model on huggingface hub](https://huggingface.co/lambdalabs/stable-diffusion-super-res) and can run a gradio demo as follows:

```bash
git clone https://github.com/justinpinkney/stable-diffusion.git
cd stable-diffusion
python -m venv .venv --prompt sd
. .venv/bin/activate
pip install -U pip
pip install -r requirements.txt
python scripts/gradio_superres.py
```

Note since I trained this model there is now an 'official' super res model for Stable Diffusion 2 which you might prefer to use.

Trained by [Justin Pinkney](https://www.justinpinkney.com/) ([@Buntworthy](https://twitter.com/Buntworthy)) at [Lambda Labs](https://lambdalabs.com/).