To evaluate Marigold quantitatively in standard leaderboards and benchmarks (such as NYU, KITTI, and other datasets), follow the evaluation protocol outlined in the paper: load the full precision fp32 model and use appropriate values for `num_inference_steps` and `ensemble_size`.
Optionally seed randomness to ensure reproducibility. Maximizing `batch_size` will deliver maximum device utilization.  
```python
import diffusers
import torch

device = "cuda"
seed = 2024
model_path = "prs-eth/marigold-v1-0"