The ensembling mechanism built into Marigold pipelines combines multiple predictions obtained from different random latents.
As a side effect, it can be used to quantify epistemic (model) uncertainty; simply specify `ensemble_size` greater than 1 and set `output_uncertainty=True`.
The resulting uncertainty will be available in the `uncertainty` field of the output.
It can be visualized as follows:  
```python
import diffusers
import torch