Yes, all processing happens locally. You’ll only need an internet connection to check the license once every 3 days.

The plugins officially support Nuke 14 and above.

Absolutely - updates are included for the duration of your license.

Not exactly. We ask for a small fee to use the plugin, and every penny goes directly into further development and improvements.

We're still in the early launch phase and testing things where we can keep a close eye on performance and feedback.

Some regions come with extra red tape (hi, tax regulations), which makes it tricky to roll out everywhere at once. But don’t worry - we’re working on it, and we hope to open things up to more locations soon! Thanks for hanging in there with us.

The plugins include the Torch library, which is essential for running the machine learning features.

Nuke requires you to place plugins and gizmos in a dedicated folder and name them accordingly. Please make sure to follow the instructions in this video - it works the same for both Win and Mac. Watch it carefully and ensure that the init.py files are in the correct locations, with the proper plugin name you’re trying to connect.

This is the first version of the plugin, and in our tests, it performs well in about 7 out of 10 cases. We’re actively improving it based on user feedback.

Not exactly. This version is best suited for precomps and fast previews.

Yes! The plugin gives you both the screen alpha and the insert, so you can easily tweak the output to fit your needs.

Let us know using the Contact page!

In this first version, we implemented a simple tracking algorithm to prioritize speed. Improving tracking is at the top of our list for the next version.

This is due to the Torch library, which powers the machine learning components. As the AI field evolves, we expect faster solutions. In the meantime, we’re working on optimizations and workarounds to speed things up in future releases.

Currently, the plugin supports only 8-bit PNG. We’re planning to expand support to 10&16-bit PNG and .exr formats in upcoming versions.

We will add smarter solutions for the naming, so it won’t matter what kind of pudding you have in your project.

Currently, only static inserts are supported, and they need to be placed in a dedicated folder for the plugin to recognize and use them properly.