26 lines
No EOL
1.3 KiB
Markdown
26 lines
No EOL
1.3 KiB
Markdown
# 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))
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- Clone this repo
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- 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)
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- Put model in `models/ldm/stable-diffusion-v1/sd-clip-vit-l14-img-embed_ema_only.ckpt`
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- Run `scripts/image_variations.py` or `scripts/gradio_variations.py`
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All together:
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```
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git clone https://github.com/justinpinkney/stable-diffusion.git
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cd stable-diffusion
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mkdir -p models/ldm/stable-diffusion-v1
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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
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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/) |