01Generate fully random presets based on real values and statistical distributions from your existing library.
02Randomize existing presets with a customizable percentage of randomness applied.
03Merge multiple presets together, creating hybrids with random ratios of inherited characteristics.
04Narrow down the analyzed preset basis for generation using filters like sub-folder, tag, author, or favorite files.
05Provides an MCP Server interface for AI assistants (e.g., Claude) to enable conversational preset search, generation, and modification.
0622 GitHub stars