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
| export PYTHONPATH=$PYTHONPATH:$PWD | |
| CUDA_VISIBLE_DEVICES=1 python utils/depth2normal.py \ | |
| --data_path $PATH_TO_VKITTI_DATA \ | |
| --batch_size 10 \ | |
| --scenes 01 02 06 18 20 |