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
| 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 | |