ENDA Episode 60→ The time when ENDA works on a Paint Out Shot (Part 3)

While the hair reconstruction is still underway, I wanted to highlight a time-saving node that’s made my Clean Plate work smoother: NNCleanUp from Pixelmania.

This licensed plugin uses machine learning to remove an object from the plate almost automatically. The process is simple:

1. Create a matte for the object.
2. Connect that matte to the Mask input of the NNCleanUp node.
3. Connect your Plate to the Image input.
4. Tweak the node’s parameters to refine the result.

However, as with many tools, it’s not a perfect solution. Roughly only 40 to 50% of the job gets done automatically, but that progress lets you focus more time on fine-tuning the artistic details.

Tools like this streamline the workflow, especially during the Clean Plate phase, freeing up more time for the creative side of the project, like the hair and skin reconstruction that requires more time and dedication for their particular challenges.

In the end, it’s always worth seeking out new tools that can enhance efficiency and speed up our process. The less we wrestle with repetitive tasks, the more we can devote to refining those crucial details. Like how the hair is getting done.

Interested in knowing how it looks? Well, that would be for a future episode.

The journey continues…