Instructions to use zeyuren2002/EvalMDE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zeyuren2002/EvalMDE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zeyuren2002/EvalMDE", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 359 Bytes
ecd43ed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | #!/usr/bin/env bash
set -e
set -x
data_dir=input
mkdir -p $data_dir
cd $data_dir
if test -f "in-the-wild_example2.tar" ; then
echo "Tar file exists: in-the-wild_example2.tar"
exit 1
fi
wget -nv --show-progress https://share.phys.ethz.ch/~pf/bingkedata/marigold/in-the-wild_example2.tar
tar -xf in-the-wild_example2.tar
rm in-the-wild_example2.tar
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