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
| python utils/process_hypersim.py \ | |
| --csv_path=$PATH_TO_HYPERSIM_SPLIT_CSV \ | |
| --src_path=$PATH_TO_RAW_HYPERSIM_DATA \ | |
| --trg_path=$PATH_TO_HYPERSIM_DATA \ | |
| --split='train' \ | |
| --filter_nan | |