This course is designed for artists who already have some experience with Silhouette and want to build on their existing roto and paint skills. SIL104 focuses on updated production workflows, introducing new Machine Learning tools, 3D workflows, and expanded paint and tracking features, with practical examples drawn from real-world shot work.
Featuring Silhouette software v2025.5, SIL104 consists of 12 classes, 10 16-bit EXR shots, and over 6 hours of instruction and builds on previous courses SIL101 – Introduction to Silhouette and Roto, SIL102 – Introduction to Silhouette and Paint Part 1 and SIL103 – Introduction to Silhouette and Paint Part 2.
SIL104 starts with two classes covering recent paint and roto updates since the previous fxphd Silhouette series, then transitions into new features and workflows. Silhouette is evolving into a robust, multi-faceted, cross-disciplinary application that includes not only roto and paint features but also compositing, updated 2D tracking options, 3D tracking capabilities with integration, and several new Machine Learning nodes. In this course, the ML nodes covered are: Denoise ML, Face ML, Mask ML, Matte Assist ML, Matte Refine ML, and Motion Blur ML.
After the refresher classes, there are two ML roto classes that cover three separate shots, taking one through the myriad options for automatic matte creation and edge treatment. These new tools provide fast previs mattes, comp assist, tracking assist, as well as final composite quality results.
Next up is a four-part Beauty Work shot that encompasses Mocha Powermesh tracking, shape-based warping with Silhouette’s Morph node, Inpatient, Face ML and the newly reimagined Cryptomatte. Following is a two-part tricky plate reconstruction shot with an oversized clean plate and lots of real-time problem-solving.
