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| license: openrail |
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| |
| ## Super Resolution |
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| 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: |
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|
| ```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. |
|
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| Trained by [Justin Pinkney](https://www.justinpinkney.com/) ([@Buntworthy](https://twitter.com/Buntworthy)) at [Lambda Labs](https://lambdalabs.com/). |
