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