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 and can run a gradio demo as follows:
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 (@Buntworthy) at Lambda Labs.
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