Aaron Smith

Good luck to all of the awesome entrants, and congratulations to everyone who submitted their work. I am really excited to try out some of these tools!!

Hello everyone! I am really excited to share a utility that adds some useful, fun and interactive texturing functionality to Houdini, Texture Stamp. The idea of this HDA is to allow texturing to be a procedural workflow within Houdini.

When an artist at a studio is assigned many assets to add embellishment to (using Mari for example), this is a lengthy labor intensive task. With Texture Stamp, projecting any number of textures becomes an automated part of your toolset, with the same level of interactivity and high performance found elsewhere.

The tool includes a well documented, complex Python viewer state with intuitive keyboard shortcuts and key-binds, as well as extended functionality that handles automated UDIM processing, OCIO and custom viewport drawing. In the spirit of Houdini, the core image processing of the tool is kept open as an editable subnet, and the code has been designed around modular simplicity, where a studio may want to extend functionality with custom tools and pipeline integration.

An example scene, demo gifs, all open-source commit history and 6 example sticker images can be found on the GitHub repository for the Texture Stamp HDA. [github.com]

Thanks for taking the time to look at my HDA, feel free to ask any questions! I hope you all enjoy it as much as I enjoyed creating it.

Datagen
Hi Aaron!
Thank you for your development!
I faced some requirement/idea: Houdini HQueue server as application for "Truenas scale". That will be great to move the server form one of clients machines.

Thanks again
Andrey

Hey Andrey, Houdini Docker creates a ready-to-use, base Houdini installation process using Debian. Provided that you're able to support containerization through Docker then in theory the process should be compatible with any version of Linux, including TrueNAS SCALE.

You could begin by changing around some install instructions in the core Dockerfile to install only HQueue, creating your ideal image that way. What is your intended approach for using HQueue and Docker? I am happy to lend assistance if I can know a little more about what you're trying to use Houdini Docker for