Blender Add-on

This Blender 4.1 Python add-on streamlines 3D-to-NFT workflows inside the viewport. It ships as a packaged zip with one-click dependency installation (Docker, GitPython) and a custom sidebar UI.

The AI Assisted Auto Layout panel lets artists pick a collection of assets, enter a text prompt (e.g. interior design context), and run geometry-nodes-based placement with anti-collision spacing. A pure-Python placeNonCollide geometry node group distributes instances on a grid with minimum-distance checks and rotation variation.

AI Assisted Rigging integrates the RigNet research model (zhan-xu/RigNet) through a Docker container workflow. Users remesh and decimate multi-part collections into a prediction target mesh, start/stop the RigNet server from the panel, tune bandwidth and threshold parameters, predict skin weights, and import the generated armature with left/right bone naming fixes — all without leaving Blender.

The NFT Generator (Raptor) is a full trait-combination engine: analyze scene attributes, define rarity rules, fast/deep generate modes, auto-resolve trait amounts, batch render to image/video, export OBJ/GLB/FBX, and write metadata JSON for NFT drops. Animation & Pose Presets opens Blender's asset browser in a split viewport for drag-and-drop pose application.

Built with bpy operators, Hatch for packaging, pytest-blender for CI, and a Makefile pipeline for test → version bump → build → GitHub release.