FIGURA Method v1.0: Operational Framework and Empirical Dataset for Artistic Figure Photography in Safety-Filtered T2I Models

This repository contains the complete operational documentation, empirical dataset, and visual proof-of-concept for the FIGURA Method (Framework for Intelligent Generation of Unrestricted Artistic Results). The FIGURA Method is a modular prompt engineering system designed to enable professional artists to generate academically grounded figure photography within the constraints of active safety filters in commercial text-to-image (T2I) models. The system operates within platform safety configurations rather than exploiting vulnerabilities. Contents of this repository: Methodology Documentation (PDF): Complete system architecture, including the Golden Rule formulation, spatial context hierarchies, and 5 validated prompt templates. Empirical Dataset (CSV): Aggregated data from 200+ documented generation tests on FLUX 2 Pro (Cloud) at default safety tolerance. Visual Portfolio (PDF): Proof-of-concept catalog pairing generated artistic outputs with structural variables. Note: This repository serves as the practical companion to the theoretical preprint currently under review at arXiv.