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# Experiments with Stable Diffusion
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## Image variations
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[](https://twitter.com/Buntworthy/status/1561703483316781057)
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_TODO describe in more detail_
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- Get access to a Linux machine with a decent NVIDIA GPU (e.g. on [Lambda GPU Cloud ](https://lambdalabs.com/service/gpu-cloud ))
- Clone this repo
- Make sure PyTorch is installed and then install other requirements: `pip install -r requirements.txt`
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- Get model from huggingface hub [lambdalabs/stable-diffusion-image-conditioned ](https://huggingface.co/lambdalabs/stable-diffusion-image-conditioned/blob/main/sd-clip-vit-l14-img-embed_ema_only.ckpt )
- Put model in `models/ldm/stable-diffusion-v1/sd-clip-vit-l14-img-embed_ema_only.ckpt`
- Run `scripts/image_variations.py` or `scripts/gradio_variations.py`
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All together:
```
git clone https://github.com/justinpinkney/stable-diffusion.git
cd stable-diffusion
mkdir -p models/ldm/stable-diffusion-v1
wget https://huggingface.co/lambdalabs/stable-diffusion-image-conditioned/resolve/main/sd-clip-vit-l14-img-embed_ema_only.ckpt -O models/ldm/stable-diffusion-v1/sd-clip-vit-l14-img-embed_ema_only.ckpt
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pip install -r requirements.txt
python scripts/gradio_variations.py
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```
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Trained by [Justin Pinkney ](https://www.justinpinkney.com ) ([@Buntworthy](https://twitter.com/Buntworthy)) at [Lambda ](https://lambdalabs.com/ )
