A professional dataset editor built around the DeepFaceLab pipeline. Inspect and edit masks and landmarks, analyze pose coverage, sort and group faces by similarity, all from a single interface.
Visualize pitch and yaw distribution across your entire dataset as a 2D heatmap. Filter the face viewer by angle range to find and fix coverage gaps before training.
Automatically cluster faces by visual similarity using VGG embedding vectors. Identify duplicates, outliers, and distinct expression groups at a glance.
Inspect and edit segmentation masks per-face. Visualize mask coverage directly on the extracted face grid and correct problem frames before they affect training.
Review and adjust facial landmark placements across your dataset. Catch misaligned extractions that would otherwise degrade model quality.
Side-by-side comparison screen for source and destination datasets. Compare angle distributions and dataset characteristics to identify mismatches early.
GUI bindings for DeepFaceLab's core functions: extract, sort, train, merge. Run the full DFL pipeline without touching a terminal.
Includes a self-contained Python installer. GPU recommended for full functionality.